A descriptive-analytical study of reverse logistics: literature review
Subject Areas : Research & Development
1 -
Keywords: Reverse logistics, Environment, Process, Implementation, Technologies, Literature review.,
Abstract :
Nowadays, reverse logistics has become a focus of interest for many research centers as it offers a solution for achieving a balance between profitability and respect for the environment. Its principle is the creation of economic value, manifested in the re-use of products at the end of their useful life, and environmental value, manifested in the minimization of the use of non-renewable natural resources as well as reducing the negative environmental impacts of production. This economic-environmental combination that firms must achieve, is imposed from competitivity between firms and governmental legislations. The aim of this paper is to make an analysis state of art in order to summarize the level at which science has dealt with reverse logistics. For this, we had collected 145 papers published between 2015 to 2023 that treat deeply reverse logistics, and that use different tools and new technologies. Firstly, we studied literature review types to choose the literature type which can be relevant for researchers. Our analysis divides topics treated in three categories describing the common axes between them and study what was treated and determine the gap of the literature about reverse logistics. The goal of our study is to give a global overview about reverse logistics.
References:
[1] Z. Gao et C. Ye, « Reverse Logistics Vehicle Routing Optimization Problem Based on Multivehicle Recycling », Math. Probl. Eng., vol. 2021, 2021, doi: 10.1155/2021/5559684.
[2] M. Kosacka-Olejnik et K. Werner-Lewandowska, « Reverse Logistics as a Trend of XXI Century – State of Art », Manag. Syst. Prod. Eng., vol. 28, no 1, p. 9‑14, mars 2020, doi: 10.2478/mspe-2020-0002.
[3] Y. Agyabeng-Mensah, E. Afum, et E. Ahenkorah, « Exploring financial performance and green logistics management practices: Examining the mediating influences of market, environmental and social performances », J. Clean. Prod., vol. 258, juin 2020, doi: 10.1016/j.jclepro.2020.120613.
[4] R. D. Daoud CHOUINARD Marc, MARCOTTE Suzanne, AÏT-KADI, Ingénierie et gestion de la logistique inverse : vers des réseaux durables. Lavoisier, 2011.
[5] Z. Chekoubi, W. Trabelsi, et N. Sauer, « The integrated production-inventory-routing problem in the context of reverse logistics: The case of collecting and remanufacturing of EOL products », présenté à Proceedings of the 2018 International Conference on Optimization and Applications, ICOA 2018, 2018, p. 1‑6. doi: 10.1109/ICOA.2018.8370563.
[6] Z. Chekoubi, W. Trabelsi, N. Sauer, et I. Majdouline, « The Integrated Production-Inventory-Routing Problem with Reverse Logistics and Remanufacturing: A Two-Phase Decomposition Heuristic », Sustain. Switz., vol. 14, no 20, 2022, doi: 10.3390/su142013563.
[7] M. Krstić, G. P. Agnusdei, P. P. Miglietta, S. Tadić, et V. Roso, « Applicability of Industry 4.0 Technologies in the Reverse Logistics: A Circular Economy Approach Based on COmprehensive Distance Based RAnking (COBRA) Method », Sustain. Switz., vol. 14, no 9, 2022, doi: 10.3390/su14095632.
[8] J. Guo, X. Wang, S. Fan, et M. Gen, « Forward and reverse logistics network and route planning under the environment of low-carbon emissions: A case study of Shanghai fresh food E-commerce enterprises », Comput. Ind. Eng., vol. 106, p. 351‑360, 2017, doi: 10.1016/j.cie.2017.02.002.
[9] J. Liu, C. Yuan, M. Hafeez, et Q. Yuan, « The relationship between environment and logistics performance: Evidence from Asian countries », J. Clean. Prod., vol. 204, p. 282‑291, déc. 2018, doi: 10.1016/j.jclepro.2018.08.310.
[10] N. Zarbakhshnia, H. Soleimani, M. Goh, et S. Razavi, « A novel multi-objective model for green forward and reverse logistics network design », J. Clean. Prod., vol. 208, p. 1304‑1316, janv. 2019, doi: 10.1016/j.jclepro.2018.10.138.
[11] S. Khan, C. Jian, Y. Zhang, H. Golpira, A. Kumar, et A. Sharif, « Environmental, social and economic growth indicators spur logistics performance: From the perspective of South Asian Association for Regional Cooperation countries », J. Clean. Prod., vol. 214, p. 1011‑1023, mars 2019, doi: 10.1016/j.jclepro.2018.12.322.
[12] J. Jiang, D. Zhang, Q. Meng, et Y. Liu, « Regional multimodal logistics network design considering demand uncertainty and CO2 emission reduction target: A system-optimization approach », J. Clean. Prod., vol. 248, mars 2020, doi: 10.1016/j.jclepro.2019.119304.
[13] Y. Wang et L. Xin, « The impact of China’s trade with economies participating in the Belt and Road Initiative on the ecological total factor energy efficiency of China’s logistics industry », J. Clean. Prod., vol. 276, déc. 2020, doi: 10.1016/j.jclepro.2020.124196.
[14] P. Froio et B. Bezerra, « Environmental sustainability initiatives adopted by logistics service providers in a developing country - an overview in the Brazilian context », J. Clean. Prod., vol. 304, juill. 2021, doi: 10.1016/j.jclepro.2021.126989.
[15] E. Bottani, G. Casella, M. Nobili, et L. Tebaldi, « An Analytic Model for Estimating the Economic and Environmental Impact of Food Cold Supply Chain », Sustain. Switz., vol. 14, no 8, 2022, doi: 10.3390/su14084771.
[16] B. A. Alkhayyal, « Designing an optimization carbon cost network in a reverse supply chain », Prod. Manuf. Res., vol. 7, no 1, p. 271‑293, 2019, doi: 10.1080/21693277.2019.1619103.
[17] « Climate change impact of food distribution: The case of reverse logistics for bread in Sweden - ScienceDirect ». Consulté le: 27 février 2023. [En ligne]. Disponible sur: https://www.sciencedirect.com/science/article/pii/S2352550923000180?pes=vor
[18] M. Malindzakova, J. Štofková, et M. Majernik, « Economic–Environmental Performance of Reverse Logistics of Disposable Beverage Packaging », Sustain. Switz., vol. 14, no 13, 2022, doi: 10.3390/su14137544.
[19] A. Cherrafi, J. A. Garza-Reyes, V. Kumar, N. Mishra, A. Ghobadian, et S. Elfezazi, « Lean, green practices and process innovation: A model for green supply chain performance », Int. J. Prod. Econ., vol. 206, p. 79‑92, 2018, doi: 10.1016/j.ijpe.2018.09.031.
[20] S. Kumar et M. Barua, « A modeling framework of green practices to explore their interrelations as a conduit to policy », J. Clean. Prod., vol. 335, févr. 2022, doi: 10.1016/j.jclepro.2021.130301.
[21] N. K. Sharma, V. Kumar, P. Verma, et S. Luthra, « Sustainable reverse logistics practices and performance evaluation with fuzzy TOPSIS: A study on Indian retailers », Clean. Logist. Supply Chain, vol. 1, 2021, doi: 10.1016/j.clscn.2021.100007.
[22] Y. Kazancoglu, I. Kazancoglu, et M. Sagnak, « A new holistic conceptual framework for green supply chain management performance assessment based on circular economy », J. Clean. Prod., vol. 195, p. 1282‑1299, sept. 2018, doi: 10.1016/j.jclepro.2018.06.015.
[23] E. D. de Souza, J. C. Kerber, M. Bouzon, et C. M. T. Rodriguez, « Performance evaluation of green logistics: Paving the way towards circular economy », Clean. Logist. Supply Chain, vol. 3, 2022, doi: 10.1016/j.clscn.2021.100019.
[24] N. Katephap et S. Limnararat, « The operational, economic and environmental benefits of returnable packaging under various reverse logistics arrangements », Int. J. Intell. Eng. Syst., vol. 10, no 5, p. 210‑219, 2017, doi: 10.22266/ijies2017.1031.23.
[25] « Scopus - Document details - Evaluation of green supply chain management practices under uncertainty environment: Case study in the company for batteries industry | Signed in ». Consulté le: 6 mars 2023. [En ligne]. Disponible sur: https://www-scopus-com.eressources.imist.ma/record/display.uri?eid=2-s2.0-85096176444&origin=resultslist&sort=plf-f&src=s&st1=reverse+logistics&nlo=&nlr=&nls=&sid=47a6585f52005d935b728812c30ad7c5&sot=b&sdt=cl&cluster=scofreetoread%2c%22all%22%2ct%2bscosubjabbr%2c%22ENGI%22%2ct&sl=70&s=TITLE-ABS-KEY%28reverse+logistics%29+AND+PUBYEAR+%3e+2017+AND+PUBYEAR+%3c+2024&relpos=156&citeCnt=1&searchTerm=
[26] K. Yang et A. Thoo, « Visualising the Knowledge Domain of Reverse Logistics and Sustainability Performance: Scientometric Mapping Based on VOSviewer and CiteSpace », Sustainability, vol. 15, p. 1105, janv. 2023, doi: 10.3390/su15021105.
[27] H. Gholizadeh, M. Goh, H. Fazlollahtabar, et Z. Mamashli, « Modelling uncertainty in sustainable-green integrated reverse logistics network using metaheuristics optimization », Comput. Ind. Eng., vol. 163, p. 107828, janv. 2022, doi: 10.1016/j.cie.2021.107828.
[28] M. Feitó-Cespón, W. Sarache, F. Piedra-Jimenez, et R. Cespón-Castro, « Redesign of a sustainable reverse supply chain under uncertaintyA case study », J. Clean. Prod., vol. 151, p. 206‑217, 2017, doi: 10.1016/j.jclepro.2017.03.057.
[29] R. M. Difrancesco, P. Meena, et G. Kumar, « How blockchain technology improves sustainable supply chain processes: a practical guide », Oper. Manag. Res., 2022, doi: 10.1007/s12063-022-00343-y.
[30] A. R. Dwicahyani, W. A. Jauhari, C. N. Rosyidi, et P. W. Laksono, « Inventory decisions in a two-echelon system with remanufacturing, carbon emission, and energy effects », Cogent Eng., vol. 4, no 1, 2017, doi: 10.1080/23311916.2017.1379628.
[31] Z. Mohtashami, A. Aghsami, et F. Jolai, « A green closed loop supply chain design using queuing system for reducing environmental impact and energy consumption », J. Clean. Prod., vol. 242, janv. 2020, doi: 10.1016/j.jclepro.2019.118452.
[32] Y. Niu, Z. Yang, P. Chen, et J. Xiao, « Optimizing the green open vehicle routing problem with time windows by minimizing comprehensive routing cost », J. Clean. Prod., vol. 171, p. 962‑971, janv. 2018, doi: 10.1016/j.jclepro.2017.10.001.
[33] S. Pratap, S. Jauhar, S. Paul, et F. Zhou, « Stochastic optimization approach for green routing and planning in perishable food production », J. Clean. Prod., vol. 333, janv. 2022, doi: 10.1016/j.jclepro.2021.130063.
[34] M. Rahimi, A. Baboli, et Y. Rekik, « Sustainable Inventory Routing Problem for Perishable Products by Considering Reverse Logistic », présenté à IFAC-PapersOnLine, 2016, p. 949‑954. doi: 10.1016/j.ifacol.2016.07.898.
[35] J. Mageto, « Current and Future Trends of Information Technology and Sustainability in Logistics Outsourcing », Sustain. Switz., vol. 14, no 13, 2022, doi: 10.3390/su14137641.
[36] E. Mugoni, B. Nyagadza, et P. K. Hove, « Green reverse logistics technology impact on agricultural entrepreneurial marketing firms’ operational efficiency and sustainable competitive advantage. », Sustain. Technol. Entrep., vol. 2, no 2, p. 100034, mai 2023, doi: 10.1016/j.stae.2022.100034.
[37] Z. Wu et Z. Zhao, « Sustainable Development of Green Reverse Logistics Based on Blockchain », J. Environ. Public Health, vol. 2022, p. 1‑10, sept. 2022, doi: 10.1155/2022/3797765.
[38] X. Zhang, B. Zou, Z. Feng, Y. Wang, et W. Yan, « A Review on Remanufacturing Reverse Logistics Network Design and Model Optimization », Processes, vol. 10, no 1, Art. no 1, janv. 2022, doi: 10.3390/pr10010084.
[39] M. A. Ülkü et Ü. Gürler, « The impact of abusing return policies: A newsvendor model with opportunistic consumers », Int. J. Prod. Econ., vol. 203, p. 124‑133, 2018, doi: 10.1016/j.ijpe.2018.05.016.
[40] Y. Badulescu, M. K. Tiwari, et N. Cheikhrouhou, « MCDM approach to select IoT devices for the reverse logistics process in the Clinical Trials supply chain », présenté à IFAC-PapersOnLine, 2022, p. 43‑48. doi: 10.1016/j.ifacol.2022.09.365.
[41] G. Balázs, Z. Mészáros, et C. A. Péterfi, « PROCESS MEASUREMENT AND ANALYSIS IN A RETAIL CHAIN TO IMPROVE REVERSE LOGISTICS EFFICIENCY », Oper. Res. Eng. Sci. Theory Appl., vol. 5, no 2, p. 152‑175, 2022, doi: 10.31181/oresta110722120g.
[42] X. Chen, C. Anudari, Y. Yun, et M. Gen, « Closed-loop supply chain network model with module manufacture and recovery process+ », présenté à CIE 2016: 46th International Conferences on Computers and Industrial Engineering, 2016. [En ligne]. Disponible sur: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013833950&partnerID=40&md5=4b6aeedb8f4d585e0d4a3c0b72ce1d7b
[43] S. Hahler et M. Fleischmann, « Strategic Grading in the Product Acquisition Process of a Reverse Supply Chain », Prod. Oper. Manag., vol. 26, no 8, p. 1498‑1511, 2017, doi: 10.1111/poms.12699.
[44] A. Jayant, « Flexible decision modelling of 3PL using mcdm based analytical network process (ANP) approach », in Supply Chain Management: Applications for Manufacturing and Service Industries, 2016, p. 59‑98. [En ligne]. Disponible sur: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85022022579&partnerID=40&md5=8a19da4e7323707056c1957b1fe0c5de
[45] A. Jindal et K. S. Sangwan, « A fuzzy-based decision support framework for product recovery process selection in reverse logistics », Int. J. Serv. Oper. Manag., vol. 25, no 4, p. 413‑439, 2016, doi: 10.1504/IJSOM.2016.10000346.
[46] G. Lechner et M. Reimann, « Integrated decision-making in reverse logistics: an optimisation of interacting acquisition, grading and disposition processes », Int. J. Prod. Res., vol. 58, no 19, p. 5786‑5805, 2020, doi: 10.1080/00207543.2019.1659518.
[47] Z. Lukasik, A. Kuśmińska-Fijalkowska, et S. Olszańska, « Improvement of the logistic processes using the reverse logistics concept », Commun. - Sci. Lett. Univ. Žilina, vol. 23, no 3, p. A174‑A183, 2021, doi: 10.26552/COM.C.2021.3.A174-A183.
[48] V. W. Martins, D. Nunes, A. Melo, R. Brandão, A. Braga Jr, et V. Nagata, « Analysis of the Activities That Make Up the Reverse Logistics Processes and Their Importance for the Future of Logistics Networks: An Exploratory Study Using the TOPSIS », Logistics, vol. 6, p. 60, août 2022, doi: 10.3390/logistics6030060.
[49] A. Melo et al., « Analysis of activities that make up reverse logistics processes: proposition of a conceptual framework », Braz. J. Oper. Prod. Manag., vol. 19, p. 1‑16, mars 2022, doi: 10.14488/BJOPM.2022.001.
[50] A. C. S. Melo, D. R. de Lucena Nunes, A. E. B. Júnior, R. Brandão, V. M. N. Nagata, et V. W. B. Martins, « Analysis of activities that make up reverse logistics processes: proposition of a conceptual framework », Braz. J. Oper. Prod. Manag., vol. 19, no 2, 2022, doi: 10.14488/BJOPM.2022.001.
[51] X. Meng, G. Ma, S. Yang, et L. Wang, « MGR: Efficiently Processing Maximal Group Reverse k Nearest Neighbors Queries », IEEE Access, vol. 10, p. 78576‑78587, 2022, doi: 10.1109/ACCESS.2022.3188396.
[52] F. Mimouni et A. Abouabdellah, « Proposition of a methodology to evaluate the performance of the production process via performance indicators of both the production process and reverse chain process », ARPN J. Eng. Appl. Sci., vol. 11, no 13, p. 8468‑8474, 2016.
[53] Z. Qin, « The Inventory Control System of Reverse Logistics for E-Commerce Packaging Recovery Based on BP Neural Network », Int. J. Circuits Syst. Signal Process., vol. 16, p. 413‑425, 2022, doi: 10.46300/9106.2022.16.51.
[54] M. Scherer, « Management of reverse logistics processes with Microsoft Dynamics NAV », Prod. Eng. Arch., vol. 15, no 15, p. 11‑14, 2017, doi: 10.30657/pea.2017.15.03.
[55] G. Thiruvasagam et D. Rajasekar, « A study on the utilized constructs of reverse logistics process implementing towards degrees of logistics operations », Int. J. Civ. Eng. Technol., vol. 8, no 11, p. 783‑792, 2017.
[56] A. Tripathi, A. Kumar, et R. Kunal, « Productivity mapping for a reverse logistics warehouse with n series and m parallel processes », présenté à Proceedings of the International Conference on Industrial Engineering and Operations Management, 2016, p. 22. [En ligne]. Disponible sur: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019004521&partnerID=40&md5=57b467c9324ed9ad99ef5f10dd49329f
[57] B. Vidal de Almeida, R. Marinho de Faria, A. Tarcizo de Oliveira Vieira, S. Nascimento Silva, et F. Vernilli, « Recycling of steelworks refractories: processing and properties », Ironmak. Steelmak., vol. 43, no 10, p. 775‑779, 2016, doi: 10.1080/03019233.2016.1155007.
[58] B. Vimpolšek et A. Lisec, « CATWOOD – REVERSE LOGISTICS PROCESS MODEL FOR QUANTITATIVE ASSESSMENT OF RECOVERED WOOD MANAGEMENT », Promet - Traffic - Traffico, vol. 34, no 6, p. 881‑892, 2022, doi: 10.7307/ptt.v34i6.4101.
[59] M. K. C. S. Wijewickrama, N. Chileshe, R. Rameezdeen, et J. J. Ochoa, « Information Processing for Quality Assurance in Reverse Logistics Supply Chains: An Organizational Information Processing Theory Perspective », Sustain. Switz., vol. 14, no 9, 2022, doi: 10.3390/su14095493.
[60] H. Yüksel, « Application of theory of constraints’ thinking processes in a reverse logistics process », in Reverse Supply Chains: Issues and Analysis, 2016, p. 97‑111. [En ligne]. Disponible sur: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123270249&partnerID=40&md5=92901bf486550abc31e54993d710e040
[61] « Scopus - Document details - The impact of unequal processing time variability on reliable and unreliable merging line performance | Signed in ». Consulté le: 2 mars 2023. [En ligne]. Disponible sur: https://www-scopus-com.eressources.imist.ma/record/display.uri?eid=2-s2.0-85103623535&origin=resultslist&sort=plf-f&src=s&st1=reverse+logistics+&nlo=&nlr=&nls=&sid=e8ab3146d8fc3b542ff22f381530c6f8&sot=b&sdt=cl&cluster=scofreetoread%2c%22all%22%2ct%2bscosubjabbr%2c%22ENGI%22%2ct&sl=52&s=TITLE-ABS-KEY%28reverse+logistics+%29+AND+PUBYEAR+%3e+2017&relpos=116&citeCnt=4&searchTerm=
[62] I. Paprocka et B. Skołud, « A Predictive Approach for Disassembly Line Balancing Problems », Sensors, vol. 22, no 10, 2022, doi: 10.3390/s22103920.
[63] A. Entezaminia, M. Heydari, et D. Rahmani, « A multi-objective model for multi-product multi-site aggregate production planning in a green supply chain: Considering collection and recycling centers », J. Manuf. Syst., vol. 40, p. 63‑75, 2016, doi: 10.1016/j.jmsy.2016.06.004.
[64] H. Yu, « Modeling a remanufacturing reverse logistics planning problem: some insights into disruptive technology adoption », Int. J. Adv. Manuf. Technol., vol. 123, no 11‑12, p. 4231‑4249, 2022, doi: 10.1007/s00170-022-10387-w.
[65] Y. Ren, X. Lu, H. Guo, Z. Xie, H. Zhang, et C. Zhang, « A Review of Combinatorial Optimization Problems in Reverse Logistics and Remanufacturing for End-of-Life Products », Mathematics, vol. 11, no 2, 2023, doi: 10.3390/math11020298.
[66] G. B. Omosa, S. A. Numfor, et M. Kosacka-Olejnik, « Modeling a Reverse Logistics Supply Chain for End-of-Life Vehicle Recycling Risk Management: A Fuzzy Risk Analysis Approach », Sustain. Switz., vol. 15, no 3, 2023, doi: 10.3390/su15032142.
[67] G. Gonzales-Calienes, B. Yu, et F. Bensebaa, « Development of a Reverse Logistics Modeling for End-of-Life Lithium-Ion Batteries and Its Impact on Recycling Viability—A Case Study to Support End-of-Life Electric Vehicle Battery Strategy in Canada », Sustain. Switz., vol. 14, no 22, 2022, doi: 10.3390/su142215321.
[68] A. Alshamsi et A. Diabat, « A Genetic Algorithm for Reverse Logistics network design: A case study from the GCC », J. Clean. Prod., vol. 151, p. 652‑669, 2017, doi: 10.1016/j.jclepro.2017.02.096.
[69] A. Kumar, R. B. Chinnam, et A. Murat, « Hazard rate models for core return modeling in auto parts remanufacturing », Int. J. Prod. Econ., vol. 183, p. 354‑361, 2017, doi: 10.1016/j.ijpe.2016.07.002.
[70] S. Butzer, S. Schötz, M. Petroschke, et R. Steinhilper, « Development of a Performance Measurement System for International Reverse Supply Chains », présenté à Procedia CIRP, 2017, p. 251‑256. doi: 10.1016/j.procir.2016.11.264.
[71] K. Anastasiades, J. Goffin, M. Rinke, M. Buyle, A. Audenaert, et J. Blom, « Standardisation: An essential enabler for the circular reuse of construction components? A trajectory for a cleaner European construction industry », J. Clean. Prod., vol. 298, 2021, doi: 10.1016/j.jclepro.2021.126864.
[72] S. Guo, B. Shen, T.-M. Choi, et S. Jung, « A review on supply chain contracts in reverse logistics: Supply chain structures and channel leaderships », J. Clean. Prod., vol. 144, p. 387‑402, 2017, doi: 10.1016/j.jclepro.2016.12.112.
[73] J. Song, X. Ma, et R. Chen, « A profit distribution model of reverse logistics based on fuzzy dea efficiency—modified shapley value », Sustain. Switz., vol. 13, no 13, 2021, doi: 10.3390/su13137354.
[74] A. Cilacı Tombuş, N. Aras, et V. Verter, « Designing distribution systems with reverse flows », J. Remanufacturing, vol. 7, no 2‑3, p. 113‑137, 2017, doi: 10.1007/s13243-017-0036-4.
[75] N. Lakhmi, E. Sahin, et Y. Dallery, « Modelling the Returnable Transport Items (RTI) Short-Term Planning Problem », Sustain. Switz., vol. 14, no 24, 2022, doi: 10.3390/su142416796.
[76] « Scopus - Document details - A Benders Decomposition Method for Dynamic Facility Location in Integrated Closed Chain Problem | Signed in ». Consulté le: 6 mars 2023. [En ligne]. Disponible sur: https://www-scopus-com.eressources.imist.ma/record/display.uri?eid=2-s2.0-85101992320&origin=resultslist&sort=plf-f&src=s&st1=reverse+logistics&nlo=&nlr=&nls=&sid=47a6585f52005d935b728812c30ad7c5&sot=b&sdt=cl&cluster=scofreetoread%2c%22all%22%2ct%2bscosubjabbr%2c%22ENGI%22%2ct&sl=70&s=TITLE-ABS-KEY%28reverse+logistics%29+AND+PUBYEAR+%3e+2017+AND+PUBYEAR+%3c+2024&relpos=133&citeCnt=1&searchTerm=
[77] M. Benaissa, I. Slama, et M. M. Dhiaf, « Reverse logistics network problem using simulated annealing with and without priority-algorithm », Arch. Transp., vol. 46, no 3, p. 7‑17, 2018, doi: 10.5604/01.3001.0012.6503.
[78] J. Ali et H. Garg, « On spherical fuzzy distance measure and TAOV method for decision-making problems with incomplete weight information », Eng. Appl. Artif. Intell., vol. 119, p. 105726, mars 2023, doi: 10.1016/j.engappai.2022.105726.
[79] S. Bali, A. Gunasekaran, S. Aggarwal, B. Tyagi, et V. Bali, « A strategic decision-making framework for sustainable reverse operations », J. Clean. Prod., vol. 381, déc. 2022, doi: 10.1016/j.jclepro.2022.135058.
[80] V. Jain, « A three-stage hybrid integrated decision making framework for modelling reverse logistics operations: A case of a textile company », Int. J. Ind. Syst. Eng., vol. 23, no 3, p. 370‑392, 2016, doi: 10.1504/IJISE.2016.076869.
[81] Z. Krug, R. Guillaume, et O. Battaïa, « Lexicographic r* criterion for decision making under uncertainty in reverse logistics », présenté à IFAC-PapersOnLine, 2019, p. 499‑504. doi: 10.1016/j.ifacol.2019.11.113.
[82] L. A. Ocampo, C. M. Himang, A. Kumar, et M. Brezocnik, « A novel multiple criteria decision-making approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy AHP for mapping collection and distribution centers in reverse logistics », Adv. Prod. Eng. Manag., vol. 14, no 3, p. 297‑322, 2019, doi: 10.14743/apem2019.3.329.
[83] M. H. Shahidzadeh et S. Shokouhyar, « Shedding light on the reverse logistics’ decision-making: a social-media analytics study of the electronics industry in developing vs developed countries », Int. J. Sustain. Eng., vol. 15, no 1, p. 163‑178, 2022, doi: 10.1080/19397038.2022.2101706.
[84] J. Song, L. Jiang, Z. Liu, X. Leng, et Z. He, « Selection of Third-Party Reverse Logistics Service Provider Based on Intuitionistic Fuzzy Multi-Criteria Decision Making », Systems, vol. 10, no 5, 2022, doi: 10.3390/systems10050188.
[85] Ö. Uygun et A. Dede, « Performance evaluation of green supply chain management using integrated fuzzy multi-criteria decision making techniques », Comput. Ind. Eng., vol. 102, p. 502‑511, 2016, doi: 10.1016/j.cie.2016.02.020.
[86] H. Yu et W. D. Solvang, « Improving the Decision-Making of Reverse Logistics Network Design Part I: A MILP Model Under Stochastic Environment », Lect. Notes Electr. Eng., vol. 451, p. 431‑438, 2018, doi: 10.1007/978-981-10-5768-7_46.
[87] M. Zhang, M. Sun, D. Bi, et T. Liu, « Green Logistics Development Decision-Making: Factor Identification and Hierarchical Framework Construction », Ieee Access, vol. 8, p. 127897‑127912, 2020, doi: 10.1109/ACCESS.2020.3008443.
[88] « Scopus - Document details - A fuzzy decision-making approach for evaluation and selection of third party reverse logistics provider using fuzzy aras | Signed in ». Consulté le: 6 mars 2023. [En ligne]. Disponible sur: https://www-scopus-com.eressources.imist.ma/record/display.uri?eid=2-s2.0-85099724110&origin=resultslist&sort=plf-f&src=s&st1=reverse+logistics&nlo=&nlr=&nls=&sid=47a6585f52005d935b728812c30ad7c5&sot=b&sdt=cl&cluster=scofreetoread%2c%22all%22%2ct%2bscosubjabbr%2c%22ENGI%22%2ct&sl=70&s=TITLE-ABS-KEY%28reverse+logistics%29+AND+PUBYEAR+%3e+2017+AND+PUBYEAR+%3c+2024&relpos=140&citeCnt=11&searchTerm=
[89] T. Kleiner-Schaefer et K. J. Schaefer, « Barriers to university–industry collaboration in an emerging market: Firm-level evidence from Turkey », J. Technol. Transf., vol. 47, no 3, p. 872‑905, 2022, doi: 10.1007/s10961-022-09919-z.
[90] D. Battini, M. Bogataj, et A. Choudhary, « Closed Loop Supply Chain (CLSC): Economics, Modelling, Management and Control », Int. J. Prod. Econ., vol. 183, p. 319‑321, 2017, doi: 10.1016/j.ijpe.2016.11.020.
[91] R. M. Difrancesco et A. Huchzermeier, « Closed-loop supply chains: a guide to theory and practice », Int. J. Logist. Res. Appl., vol. 19, no 5, p. 443‑464, 2016, doi: 10.1080/13675567.2015.1116503.
[92] P. Dutta, D. Das, F. Schultmann, et M. Fröhling, « Design and planning of a closed-loop supply chain with three way recovery and buy-back offer », J. Clean. Prod., vol. 135, p. 604‑619, 2016, doi: 10.1016/j.jclepro.2016.06.108.
[93] M. Jahangoshai Rezaee, S. Yousefi, et J. Hayati, « A multi-objective model for closed-loop supply chain optimization and efficient supplier selection in a competitive environment considering quantity discount policy », J. Ind. Eng. Int., vol. 13, no 2, p. 199‑213, 2017, doi: 10.1007/s40092-016-0178-2.
[94] L. Steinke et K. Fischer, « Extension of multi-commodity closed-loop supply chain network design by aggregate production planning », Logist. Res., vol. 9, no 1, 2016, doi: 10.1007/s12159-016-0149-4.
[95] « Scopus - Document details - Robust Design of a Closed-Loop Supply Chain Considering Multiple Recovery Options and Carbon Policies under Uncertainty | Signed in ». Consulté le: 6 mars 2023. [En ligne]. Disponible sur: https://www-scopus-com.eressources.imist.ma/record/display.uri?eid=2-s2.0-85098748157&origin=resultslist&sort=plf-f&src=s&st1=reverse+logistics&nlo=&nlr=&nls=&sid=47a6585f52005d935b728812c30ad7c5&sot=b&sdt=cl&cluster=scofreetoread%2c%22all%22%2ct%2bscosubjabbr%2c%22ENGI%22%2ct&sl=70&s=TITLE-ABS-KEY%28reverse+logistics%29+AND+PUBYEAR+%3e+2017+AND+PUBYEAR+%3c+2024&relpos=136&citeCnt=2&searchTerm=
[96] « Scopus - Document details - Green closed-loop supply chain network under the COVID-19 pandemic | Signed in ». Consulté le: 2 mars 2023. [En ligne]. Disponible sur: https://www-scopus-com.eressources.imist.ma/record/display.uri?eid=2-s2.0-85113321848&origin=resultslist&sort=plf-f&src=s&st1=reverse+logistics+&nlo=&nlr=&nls=&sid=e8ab3146d8fc3b542ff22f381530c6f8&sot=b&sdt=cl&cluster=scofreetoread%2c%22all%22%2ct%2bscosubjabbr%2c%22ENGI%22%2ct&sl=52&s=TITLE-ABS-KEY%28reverse+logistics+%29+AND+PUBYEAR+%3e+2017&relpos=107&citeCnt=2&searchTerm=
[97] W. Wang, Y. Wang, D. Mo, et M. Tseng, « Component Reuse in Remanufacturing Across Multiple Product Generations », présenté à Procedia CIRP, 2017, p. 704‑708. doi: 10.1016/j.procir.2017.02.033.
[98] N. Abu Seman et al., « The mediating effect of green innovation on the relationship between green supply chain management and environmental performance », J. Clean. Prod., vol. 229, p. 115‑127, août 2019, doi: 10.1016/j.jclepro.2019.03.211.
[99] A. Bask, M. Rajahonka, S. Laari, T. Solakivi, J. Toyli, et L. Ojala, « Environmental sustainability in shipper-LSP relationships », J. Clean. Prod., vol. 172, p. 2986‑2998, janv. 2018, doi: 10.1016/j.jclepro.2017.11.112.
[100] V. Agarwal, K. Govindan, J. D. Darbari, et P. C. Jha, « An optimization model for sustainable solutions towards implementation of reverse logistics under collaborative framework », Int. J. Syst. Assur. Eng. Manag., vol. 7, no 4, p. 480‑487, 2016, doi: 10.1007/s13198-016-0486-3.
[101] T. Tumpa, S. Ali, M. Rahman, S. Paul, P. Chowdhury, et S. Khan, « Barriers to green supply chain management: An emerging economy context », J. Clean. Prod., vol. 236, nov. 2019, doi: 10.1016/j.jclepro.2019.117617.
[102] E. A. R. de Campos, I. C. de Paula, R. N. Pagani, et P. Guarnieri, « Reverse logistics for the end-of-life and end-of-use products in the pharmaceutical industry: a systematic literature review », Supply Chain Manag. Int. J., vol. 22, no 4, p. 375‑392, juin 2017, doi: 10.1108/SCM-01-2017-0040.
[103] S. M. Budijati, « Influence of environmental value and attitude on student’s intention to participate in a take back program », Asia-Pac. J. Sci. Technol., vol. 22, no 1, 2017, [En ligne]. Disponible sur: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051089645&partnerID=40&md5=086e59290ea4a0e79d1180d844952232
[104] H. Prajapati, R. Kant, et R. Shankar, « Selection of strategy for reverse logistics implementation », J. Glob. Oper. Strateg. Sourc., vol. ahead-of-print, déc. 2021, doi: 10.1108/JGOSS-04-2021-0034.
[105] S. A. Wardani, N. U. Handayani, et M. A. Wibowo, « Barriers for Implementing Reverse Logistics in the Construction Sectors », J. Ind. Eng. Manag., vol. 15, no 3, p. 385‑415, 2022, doi: 10.3926/jiem.3539.
[106] R. Rameezdeen, N. Chileshe, M. R. Hosseini, et S. Lehmann, « A qualitative examination of major barriers in implementation of reverse logistics within the South Australian construction sector », Int. J. Constr. Manag., vol. 16, no 3, p. 185‑196, 2016, doi: 10.1080/15623599.2015.1110275.
[107] S. Liu, Y. Zhang, Y. Liu, L. Wang, et X. Wang, « An “Internet of Things” enabled dynamic optimization method for smart vehicles and logistics tasks », J. Clean. Prod., vol. 215, p. 806‑820, avr. 2019, doi: 10.1016/j.jclepro.2018.12.254.
[108] D. Y. Mo, C. Y. T. Ma, D. C. K. Ho, et Y. Wang, « Design of a Reverse Logistics System with Internet of Things for Service Parts Management », Sustain. Switz., vol. 14, no 19, 2022, doi: 10.3390/su141912013.
[109] S. Zhu et Y. Wang, « Construction of reverse logistics management information system based on internet of things », Agro Food Ind. Hi-Tech, vol. 28, no 3, p. 738‑742, 2017.
[110] N. K. Dev, R. Shankar, et S. Swami, « Diffusion of green products in industry 4.0: Reverse logistics issues during design of inventory and production planning system », Int. J. Prod. Econ., vol. 223, p. 107519, mai 2020, doi: 10.1016/j.ijpe.2019.107519.
[111] A. Ghadge, D. G. Mogale, M. Bourlakis, L. M. Maiyar, et H. Moradlou, « Link between Industry 4.0 and green supply chain management: Evidence from the automotive industry », Comput. Ind. Eng., vol. 169, 2022, doi: 10.1016/j.cie.2022.108303.
[112] M. Sharma, S. Luthra, S. Joshi, A. Kumar, et A. Jain, « Green logistics driven circular practices adoption in industry 4.0 Era: A moderating effect of institution pressure and supply chain flexibility », J. Clean. Prod., vol. 383, p. 135284, janv. 2023, doi: 10.1016/j.jclepro.2022.135284.
[113] S. Rajput et S. P. Singh, « Industry 4.0 model for integrated circular economy-reverse logistics network », Int. J. Logist. Res. Appl., vol. 25, no 4‑5, p. 837‑877, mai 2022, doi: 10.1080/13675567.2021.1926950.
[114] K. Bouanane, Y. Benadada, et S. Marcotte, « Optimization of vehicle routing problem in the context of reverse logistics of handling containers in closed loop », présenté à Proceedings of the International Conference on Industrial Engineering and Operations Management, 2017, p. 2087‑2088. [En ligne]. Disponible sur: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018972722&partnerID=40&md5=63b2cdc02b2d2b49055a21c5f4857501
[115] « A systematic literature review of the vehicle routing problem in reverse logistics operations | Elsevier Enhanced Reader ». Consulté le: 7 février 2023. [En ligne]. Disponible sur: https://reader.elsevier.com/reader/sd/pii/S0360835223000359?token=FDC1AEFF8F705B933F3B502768461A96A4715ADD5CF1598FD9CC0704241D489AFAB2EA32BCC5930E03DCE1ED18946DB1&originRegion=eu-west-1&originCreation=20230207080655
[116] Y. Zhou, H. Zheng, F. Meng, et C. Li, « On the application of the vehicle routing problem with multi-distribution centers in reverse logistics », présenté à 2017 4th International Conference on Systems and Informatics, ICSAI 2017, 2017, p. 750‑755. doi: 10.1109/ICSAI.2017.8248386.
[117] V. F. Yu et S.-Y. Lin, « Solving the location-routing problem with simultaneous pickup and delivery by simulated annealing », Int. J. Prod. Res., vol. 54, no 2, p. 526‑549, 2016, doi: 10.1080/00207543.2015.1085655.
[118] A. T. Widjaja, A. Gunawan, P. Jodiawan, et V. F. Yu, « Incorporating a Reverse Logistics Scheme in a Vehicle Routing Problem with Cross-Docking Network: A Modelling Approach », présenté à 2020 IEEE 7th International Conference on Industrial Engineering and Applications, ICIEA 2020, 2020, p. 854‑858. doi: 10.1109/ICIEA49774.2020.9101972.
[119] M. Soysal, « Closed-loop Inventory Routing Problem for returnable transport items », Transp. Res. Part Transp. Environ., vol. 48, p. 31‑45, 2016, doi: 10.1016/j.trd.2016.07.001.
[120] H. Soleimani, Y. Chaharlang, et H. Ghaderi, « Collection and distribution of returned-remanufactured products in a vehicle routing problem with pickup and delivery considering sustainable and green criteria », J. Clean. Prod., vol. 172, p. 960‑970, janv. 2018, doi: 10.1016/j.jclepro.2017.10.124.
[121] R. Scanlon, Q. Wang, et J. Wang, « Ant Colony Optimisation model for vehicle routing problem with simultaneous pickup and delivery », présenté à Proceedings of the ASME Design Engineering Technical Conference, 2016. doi: 10.1115/DETC2016-59951.pdf.
[122] W. A. Cram, M. Templier, et G. Paré, « (Re)considering the concept of literature review reproducibility », J. Assoc. Inf. Syst., vol. 21, no 5, p. 1103‑1114, 2020, doi: 10.17705/1jais.00630.
[123] B. I. Oluleye, D. W. M. Chan, et P. Antwi-Afari, « Adopting Artificial Intelligence for enhancing the implementation of systemic circularity in the construction industry: A critical review », Sustain. Prod. Consum., vol. 35, p. 509‑524, 2023, doi: 10.1016/j.spc.2022.12.002.
[124] « Scopus - Document details - A Survey of Critical Success Factors in the Implementation of Reverse Logistics in Taiwan’s Optoelectronic Industry | Signed in ». Consulté le: 6 mars 2023. [En ligne]. Disponible sur: https://www-scopus-com.eressources.imist.ma/record/display.uri?eid=2-s2.0-85095969750&origin=resultslist&sort=plf-f&src=s&st1=reverse+logistics&nlo=&nlr=&nls=&sid=47a6585f52005d935b728812c30ad7c5&sot=b&sdt=cl&cluster=scofreetoread%2c%22all%22%2ct%2bscosubjabbr%2c%22ENGI%22%2ct&sl=70&s=TITLE-ABS-KEY%28reverse+logistics%29+AND+PUBYEAR+%3e+2017+AND+PUBYEAR+%3c+2024&relpos=190&citeCnt=1&searchTerm=
[125] L. Wei, Q. Zhang, et C. Zhang, « An evolutionary game approach of analysis for enterprises implementing reverse logistics », Int. J. Serv. Technol. Manag., vol. 23, no 3, p. 204‑218, 2017, doi: 10.1504/IJSTM.2017.085475.
[126] N. Chileshe, R. Rameezdeen, et M. R. Hosseini, « Drivers for adopting reverse logistics in the construction industry: A qualitative study », Eng. Constr. Archit. Manag., vol. 23, no 2, p. 134‑157, 2016, doi: 10.1108/ECAM-06-2014-0087.
[127] T. Chinda, « Examination of Factors Influencing the Successful Implementation of Reverse Logistics in the Construction Industry: Pilot Study », présenté à Procedia Engineering, 2017, p. 99‑105. doi: 10.1016/j.proeng.2017.03.128.
[128] J. Guo et X. Wang, « Network and route planning of cross-regional closed-loop logistics for fresh food e-commerce under environment of carbon trading », Jisuanji Jicheng Zhizao XitongComputer Integr. Manuf. Syst. CIMS, vol. 23, no 4, p. 874‑882, 2017, doi: 10.13196/j.cims.2017.04.023.
[129] S. Tavakkoli Moghaddam, M. Javadi, et S. M. Hadji Molana, « A reverse logistics chain mathematical model for a sustainable production system of perishable goods based on demand optimization », J. Ind. Eng. Int., vol. 15, no 4, p. 709‑721, 2019, doi: 10.1007/s40092-018-0287-1.
[130] T. Kiatcharoenpol et P. Sirisawat, « A selection of barrier factors affecting reverse logistics performance of thai electronic industry », Int. J. Intell. Eng. Syst., vol. 13, no 2, p. 117‑126, 2020, doi: 10.22266/ijies2020.0430.12.
[131] M. C. L. Couto, L. C. Lange, R. A. Rosa, et P. R. L. Couto, « Planning the location of facilities to implement a reverse logistic system of post-consumer packaging using a location mathematical model », Waste Manag. Res., vol. 35, no 12, p. 1254‑1265, 2017, doi: 10.1177/0734242X17730431.
[132] M. Ahlaqqach, J. Benhra, S. Mouatassim, et S. Lamrani, « Hybridization of game theory and ridesharing to optimize reverse logistics of healthcare textiles », présenté à IOP Conference Series: Materials Science and Engineering, 2020. doi: 10.1088/1757-899X/827/1/012004.
[1] Z. Gao et C. Ye, « Reverse Logistics Vehicle Routing Optimization Problem Based on Multivehicle Recycling », Math. Probl. Eng., vol. 2021, 2021, doi: 10.1155/2021/5559684.
[2] M. Kosacka-Olejnik et K. Werner-Lewandowska, « Reverse Logistics as a Trend of XXI Century – State of Art », Manag. Syst. Prod. Eng., vol. 28, no 1, p. 9‑14, mars 2020, doi: 10.2478/mspe-2020-0002.
[3] Y. Agyabeng-Mensah, E. Afum, et E. Ahenkorah, « Exploring financial performance and green logistics management practices: Examining the mediating influences of market, environmental and social performances », J. Clean. Prod., vol. 258, juin 2020, doi: 10.1016/j.jclepro.2020.120613.
[4] R. D. Daoud CHOUINARD Marc, MARCOTTE Suzanne, AÏT-KADI, Ingénierie et gestion de la logistique inverse : vers des réseaux durables. Lavoisier, 2011.
[5] Z. Chekoubi, W. Trabelsi, et N. Sauer, « The integrated production-inventory-routing problem in the context of reverse logistics: The case of collecting and remanufacturing of EOL products », présenté à Proceedings of the 2018 International Conference on Optimization and Applications, ICOA 2018, 2018, p. 1‑6. doi: 10.1109/ICOA.2018.8370563.
[6] Z. Chekoubi, W. Trabelsi, N. Sauer, et I. Majdouline, « The Integrated Production-Inventory-Routing Problem with Reverse Logistics and Remanufacturing: A Two-Phase Decomposition Heuristic », Sustain. Switz., vol. 14, no 20, 2022, doi: 10.3390/su142013563.
[7] M. Krstić, G. P. Agnusdei, P. P. Miglietta, S. Tadić, et V. Roso, « Applicability of Industry 4.0 Technologies in the Reverse Logistics: A Circular Economy Approach Based on COmprehensive Distance Based RAnking (COBRA) Method », Sustain. Switz., vol. 14, no 9, 2022, doi: 10.3390/su14095632.
[8] J. Guo, X. Wang, S. Fan, et M. Gen, « Forward and reverse logistics network and route planning under the environment of low-carbon emissions: A case study of Shanghai fresh food E-commerce enterprises », Comput. Ind. Eng., vol. 106, p. 351‑360, 2017, doi: 10.1016/j.cie.2017.02.002.
[9] J. Liu, C. Yuan, M. Hafeez, et Q. Yuan, « The relationship between environment and logistics performance: Evidence from Asian countries », J. Clean. Prod., vol. 204, p. 282‑291, déc. 2018, doi: 10.1016/j.jclepro.2018.08.310.
[10] N. Zarbakhshnia, H. Soleimani, M. Goh, et S. Razavi, « A novel multi-objective model for green forward and reverse logistics network design », J. Clean. Prod., vol. 208, p. 1304‑1316, janv. 2019, doi: 10.1016/j.jclepro.2018.10.138.
[11] S. Khan, C. Jian, Y. Zhang, H. Golpira, A. Kumar, et A. Sharif, « Environmental, social and economic growth indicators spur logistics performance: From the perspective of South Asian Association for Regional Cooperation countries », J. Clean. Prod., vol. 214, p. 1011‑1023, mars 2019, doi: 10.1016/j.jclepro.2018.12.322.
[12] J. Jiang, D. Zhang, Q. Meng, et Y. Liu, « Regional multimodal logistics network design considering demand uncertainty and CO2 emission reduction target: A system-optimization approach », J. Clean. Prod., vol. 248, mars 2020, doi: 10.1016/j.jclepro.2019.119304.
[13] Y. Wang et L. Xin, « The impact of China’s trade with economies participating in the Belt and Road Initiative on the ecological total factor energy efficiency of China’s logistics industry », J. Clean. Prod., vol. 276, déc. 2020, doi: 10.1016/j.jclepro.2020.124196.
[14] P. Froio et B. Bezerra, « Environmental sustainability initiatives adopted by logistics service providers in a developing country - an overview in the Brazilian context », J. Clean. Prod., vol. 304, juill. 2021, doi: 10.1016/j.jclepro.2021.126989.
[15] E. Bottani, G. Casella, M. Nobili, et L. Tebaldi, « An Analytic Model for Estimating the Economic and Environmental Impact of Food Cold Supply Chain », Sustain. Switz., vol. 14, no 8, 2022, doi: 10.3390/su14084771.
[16] B. A. Alkhayyal, « Designing an optimization carbon cost network in a reverse supply chain », Prod. Manuf. Res., vol. 7, no 1, p. 271‑293, 2019, doi: 10.1080/21693277.2019.1619103.
[17] « Climate change impact of food distribution: The case of reverse logistics for bread in Sweden - ScienceDirect ». Consulté le: 27 février 2023. [En ligne]. Disponible sur: https://www.sciencedirect.com/science/article/pii/S2352550923000180?pes=vor
[18] M. Malindzakova, J. Štofková, et M. Majernik, « Economic–Environmental Performance of Reverse Logistics of Disposable Beverage Packaging », Sustain. Switz., vol. 14, no 13, 2022, doi: 10.3390/su14137544.
[19] A. Cherrafi, J. A. Garza-Reyes, V. Kumar, N. Mishra, A. Ghobadian, et S. Elfezazi, « Lean, green practices and process innovation: A model for green supply chain performance », Int. J. Prod. Econ., vol. 206, p. 79‑92, 2018, doi: 10.1016/j.ijpe.2018.09.031.
[20] S. Kumar et M. Barua, « A modeling framework of green practices to explore their interrelations as a conduit to policy », J. Clean. Prod., vol. 335, févr. 2022, doi: 10.1016/j.jclepro.2021.130301.
[21] N. K. Sharma, V. Kumar, P. Verma, et S. Luthra, « Sustainable reverse logistics practices and performance evaluation with fuzzy TOPSIS: A study on Indian retailers », Clean. Logist. Supply Chain, vol. 1, 2021, doi: 10.1016/j.clscn.2021.100007.
[22] Y. Kazancoglu, I. Kazancoglu, et M. Sagnak, « A new holistic conceptual framework for green supply chain management performance assessment based on circular economy », J. Clean. Prod., vol. 195, p. 1282‑1299, sept. 2018, doi: 10.1016/j.jclepro.2018.06.015.
[23] E. D. de Souza, J. C. Kerber, M. Bouzon, et C. M. T. Rodriguez, « Performance evaluation of green logistics: Paving the way towards circular economy », Clean. Logist. Supply Chain, vol. 3, 2022, doi: 10.1016/j.clscn.2021.100019.
[24] N. Katephap et S. Limnararat, « The operational, economic and environmental benefits of returnable packaging under various reverse logistics arrangements », Int. J. Intell. Eng. Syst., vol. 10, no 5, p. 210‑219, 2017, doi: 10.22266/ijies2017.1031.23.
[25] « Scopus - Document details - Evaluation of green supply chain management practices under uncertainty environment: Case study in the company for batteries industry | Signed in ». Consulté le: 6 mars 2023. [En ligne]. Disponible sur: https://www-scopus-com.eressources.imist.ma/record/display.uri?eid=2-s2.0-85096176444&origin=resultslist&sort=plf-f&src=s&st1=reverse+logistics&nlo=&nlr=&nls=&sid=47a6585f52005d935b728812c30ad7c5&sot=b&sdt=cl&cluster=scofreetoread%2c%22all%22%2ct%2bscosubjabbr%2c%22ENGI%22%2ct&sl=70&s=TITLE-ABS-KEY%28reverse+logistics%29+AND+PUBYEAR+%3e+2017+AND+PUBYEAR+%3c+2024&relpos=156&citeCnt=1&searchTerm=
[26] K. Yang et A. Thoo, « Visualising the Knowledge Domain of Reverse Logistics and Sustainability Performance: Scientometric Mapping Based on VOSviewer and CiteSpace », Sustainability, vol. 15, p. 1105, janv. 2023, doi: 10.3390/su15021105.
[27] H. Gholizadeh, M. Goh, H. Fazlollahtabar, et Z. Mamashli, « Modelling uncertainty in sustainable-green integrated reverse logistics network using metaheuristics optimization », Comput. Ind. Eng., vol. 163, p. 107828, janv. 2022, doi: 10.1016/j.cie.2021.107828.
[28] M. Feitó-Cespón, W. Sarache, F. Piedra-Jimenez, et R. Cespón-Castro, « Redesign of a sustainable reverse supply chain under uncertaintyA case study », J. Clean. Prod., vol. 151, p. 206‑217, 2017, doi: 10.1016/j.jclepro.2017.03.057.
[29] R. M. Difrancesco, P. Meena, et G. Kumar, « How blockchain technology improves sustainable supply chain processes: a practical guide », Oper. Manag. Res., 2022, doi: 10.1007/s12063-022-00343-y.
[30] A. R. Dwicahyani, W. A. Jauhari, C. N. Rosyidi, et P. W. Laksono, « Inventory decisions in a two-echelon system with remanufacturing, carbon emission, and energy effects », Cogent Eng., vol. 4, no 1, 2017, doi: 10.1080/23311916.2017.1379628.
[31] Z. Mohtashami, A. Aghsami, et F. Jolai, « A green closed loop supply chain design using queuing system for reducing environmental impact and energy consumption », J. Clean. Prod., vol. 242, janv. 2020, doi: 10.1016/j.jclepro.2019.118452.
[32] Y. Niu, Z. Yang, P. Chen, et J. Xiao, « Optimizing the green open vehicle routing problem with time windows by minimizing comprehensive routing cost », J. Clean. Prod., vol. 171, p. 962‑971, janv. 2018, doi: 10.1016/j.jclepro.2017.10.001.
[33] S. Pratap, S. Jauhar, S. Paul, et F. Zhou, « Stochastic optimization approach for green routing and planning in perishable food production », J. Clean. Prod., vol. 333, janv. 2022, doi: 10.1016/j.jclepro.2021.130063.
[34] M. Rahimi, A. Baboli, et Y. Rekik, « Sustainable Inventory Routing Problem for Perishable Products by Considering Reverse Logistic », présenté à IFAC-PapersOnLine, 2016, p. 949‑954. doi: 10.1016/j.ifacol.2016.07.898.
[35] J. Mageto, « Current and Future Trends of Information Technology and Sustainability in Logistics Outsourcing », Sustain. Switz., vol. 14, no 13, 2022, doi: 10.3390/su14137641.
[36] E. Mugoni, B. Nyagadza, et P. K. Hove, « Green reverse logistics technology impact on agricultural entrepreneurial marketing firms’ operational efficiency and sustainable competitive advantage. », Sustain. Technol. Entrep., vol. 2, no 2, p. 100034, mai 2023, doi: 10.1016/j.stae.2022.100034.
[37] Z. Wu et Z. Zhao, « Sustainable Development of Green Reverse Logistics Based on Blockchain », J. Environ. Public Health, vol. 2022, p. 1‑10, sept. 2022, doi: 10.1155/2022/3797765.
[38] X. Zhang, B. Zou, Z. Feng, Y. Wang, et W. Yan, « A Review on Remanufacturing Reverse Logistics Network Design and Model Optimization », Processes, vol. 10, no 1, Art. no 1, janv. 2022, doi: 10.3390/pr10010084.
[39] M. A. Ülkü et Ü. Gürler, « The impact of abusing return policies: A newsvendor model with opportunistic consumers », Int. J. Prod. Econ., vol. 203, p. 124‑133, 2018, doi: 10.1016/j.ijpe.2018.05.016.
[40] Y. Badulescu, M. K. Tiwari, et N. Cheikhrouhou, « MCDM approach to select IoT devices for the reverse logistics process in the Clinical Trials supply chain », présenté à IFAC-PapersOnLine, 2022, p. 43‑48. doi: 10.1016/j.ifacol.2022.09.365.
[41] G. Balázs, Z. Mészáros, et C. A. Péterfi, « PROCESS MEASUREMENT AND ANALYSIS IN A RETAIL CHAIN TO IMPROVE REVERSE LOGISTICS EFFICIENCY », Oper. Res. Eng. Sci. Theory Appl., vol. 5, no 2, p. 152‑175, 2022, doi: 10.31181/oresta110722120g.
[42] X. Chen, C. Anudari, Y. Yun, et M. Gen, « Closed-loop supply chain network model with module manufacture and recovery process+ », présenté à CIE 2016: 46th International Conferences on Computers and Industrial Engineering, 2016. [En ligne]. Disponible sur: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013833950&partnerID=40&md5=4b6aeedb8f4d585e0d4a3c0b72ce1d7b
[43] S. Hahler et M. Fleischmann, « Strategic Grading in the Product Acquisition Process of a Reverse Supply Chain », Prod. Oper. Manag., vol. 26, no 8, p. 1498‑1511, 2017, doi: 10.1111/poms.12699.
[44] A. Jayant, « Flexible decision modelling of 3PL using mcdm based analytical network process (ANP) approach », in Supply Chain Management: Applications for Manufacturing and Service Industries, 2016, p. 59‑98. [En ligne]. Disponible sur: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85022022579&partnerID=40&md5=8a19da4e7323707056c1957b1fe0c5de
[45] A. Jindal et K. S. Sangwan, « A fuzzy-based decision support framework for product recovery process selection in reverse logistics », Int. J. Serv. Oper. Manag., vol. 25, no 4, p. 413‑439, 2016, doi: 10.1504/IJSOM.2016.10000346.
[46] G. Lechner et M. Reimann, « Integrated decision-making in reverse logistics: an optimisation of interacting acquisition, grading and disposition processes », Int. J. Prod. Res., vol. 58, no 19, p. 5786‑5805, 2020, doi: 10.1080/00207543.2019.1659518.
[47] Z. Lukasik, A. Kuśmińska-Fijalkowska, et S. Olszańska, « Improvement of the logistic processes using the reverse logistics concept », Commun. - Sci. Lett. Univ. Žilina, vol. 23, no 3, p. A174‑A183, 2021, doi: 10.26552/COM.C.2021.3.A174-A183.
[48] V. W. Martins, D. Nunes, A. Melo, R. Brandão, A. Braga Jr, et V. Nagata, « Analysis of the Activities That Make Up the Reverse Logistics Processes and Their Importance for the Future of Logistics Networks: An Exploratory Study Using the TOPSIS », Logistics, vol. 6, p. 60, août 2022, doi: 10.3390/logistics6030060.
[49] A. Melo et al., « Analysis of activities that make up reverse logistics processes: proposition of a conceptual framework », Braz. J. Oper. Prod. Manag., vol. 19, p. 1‑16, mars 2022, doi: 10.14488/BJOPM.2022.001.
[50] A. C. S. Melo, D. R. de Lucena Nunes, A. E. B. Júnior, R. Brandão, V. M. N. Nagata, et V. W. B. Martins, « Analysis of activities that make up reverse logistics processes: proposition of a conceptual framework », Braz. J. Oper. Prod. Manag., vol. 19, no 2, 2022, doi: 10.14488/BJOPM.2022.001.
[51] X. Meng, G. Ma, S. Yang, et L. Wang, « MGR: Efficiently Processing Maximal Group Reverse k Nearest Neighbors Queries », IEEE Access, vol. 10, p. 78576‑78587, 2022, doi: 10.1109/ACCESS.2022.3188396.
[52] F. Mimouni et A. Abouabdellah, « Proposition of a methodology to evaluate the performance of the production process via performance indicators of both the production process and reverse chain process », ARPN J. Eng. Appl. Sci., vol. 11, no 13, p. 8468‑8474, 2016.
[53] Z. Qin, « The Inventory Control System of Reverse Logistics for E-Commerce Packaging Recovery Based on BP Neural Network », Int. J. Circuits Syst. Signal Process., vol. 16, p. 413‑425, 2022, doi: 10.46300/9106.2022.16.51.
[54] M. Scherer, « Management of reverse logistics processes with Microsoft Dynamics NAV », Prod. Eng. Arch., vol. 15, no 15, p. 11‑14, 2017, doi: 10.30657/pea.2017.15.03.
[55] G. Thiruvasagam et D. Rajasekar, « A study on the utilized constructs of reverse logistics process implementing towards degrees of logistics operations », Int. J. Civ. Eng. Technol., vol. 8, no 11, p. 783‑792, 2017.
[56] A. Tripathi, A. Kumar, et R. Kunal, « Productivity mapping for a reverse logistics warehouse with n series and m parallel processes », présenté à Proceedings of the International Conference on Industrial Engineering and Operations Management, 2016, p. 22. [En ligne]. Disponible sur: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019004521&partnerID=40&md5=57b467c9324ed9ad99ef5f10dd49329f
[57] B. Vidal de Almeida, R. Marinho de Faria, A. Tarcizo de Oliveira Vieira, S. Nascimento Silva, et F. Vernilli, « Recycling of steelworks refractories: processing and properties », Ironmak. Steelmak., vol. 43, no 10, p. 775‑779, 2016, doi: 10.1080/03019233.2016.1155007.
[58] B. Vimpolšek et A. Lisec, « CATWOOD – REVERSE LOGISTICS PROCESS MODEL FOR QUANTITATIVE ASSESSMENT OF RECOVERED WOOD MANAGEMENT », Promet - Traffic - Traffico, vol. 34, no 6, p. 881‑892, 2022, doi: 10.7307/ptt.v34i6.4101.
[59] M. K. C. S. Wijewickrama, N. Chileshe, R. Rameezdeen, et J. J. Ochoa, « Information Processing for Quality Assurance in Reverse Logistics Supply Chains: An Organizational Information Processing Theory Perspective », Sustain. Switz., vol. 14, no 9, 2022, doi: 10.3390/su14095493.
[60] H. Yüksel, « Application of theory of constraints’ thinking processes in a reverse logistics process », in Reverse Supply Chains: Issues and Analysis, 2016, p. 97‑111. [En ligne]. Disponible sur: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123270249&partnerID=40&md5=92901bf486550abc31e54993d710e040
[61] « Scopus - Document details - The impact of unequal processing time variability on reliable and unreliable merging line performance | Signed in ». Consulté le: 2 mars 2023. [En ligne]. Disponible sur: https://www-scopus-com.eressources.imist.ma/record/display.uri?eid=2-s2.0-85103623535&origin=resultslist&sort=plf-f&src=s&st1=reverse+logistics+&nlo=&nlr=&nls=&sid=e8ab3146d8fc3b542ff22f381530c6f8&sot=b&sdt=cl&cluster=scofreetoread%2c%22all%22%2ct%2bscosubjabbr%2c%22ENGI%22%2ct&sl=52&s=TITLE-ABS-KEY%28reverse+logistics+%29+AND+PUBYEAR+%3e+2017&relpos=116&citeCnt=4&searchTerm=
[62] I. Paprocka et B. Skołud, « A Predictive Approach for Disassembly Line Balancing Problems », Sensors, vol. 22, no 10, 2022, doi: 10.3390/s22103920.
[63] A. Entezaminia, M. Heydari, et D. Rahmani, « A multi-objective model for multi-product multi-site aggregate production planning in a green supply chain: Considering collection and recycling centers », J. Manuf. Syst., vol. 40, p. 63‑75, 2016, doi: 10.1016/j.jmsy.2016.06.004.
[64] H. Yu, « Modeling a remanufacturing reverse logistics planning problem: some insights into disruptive technology adoption », Int. J. Adv. Manuf. Technol., vol. 123, no 11‑12, p. 4231‑4249, 2022, doi: 10.1007/s00170-022-10387-w.
[65] Y. Ren, X. Lu, H. Guo, Z. Xie, H. Zhang, et C. Zhang, « A Review of Combinatorial Optimization Problems in Reverse Logistics and Remanufacturing for End-of-Life Products », Mathematics, vol. 11, no 2, 2023, doi: 10.3390/math11020298.
[66] G. B. Omosa, S. A. Numfor, et M. Kosacka-Olejnik, « Modeling a Reverse Logistics Supply Chain for End-of-Life Vehicle Recycling Risk Management: A Fuzzy Risk Analysis Approach », Sustain. Switz., vol. 15, no 3, 2023, doi: 10.3390/su15032142.
[67] G. Gonzales-Calienes, B. Yu, et F. Bensebaa, « Development of a Reverse Logistics Modeling for End-of-Life Lithium-Ion Batteries and Its Impact on Recycling Viability—A Case Study to Support End-of-Life Electric Vehicle Battery Strategy in Canada », Sustain. Switz., vol. 14, no 22, 2022, doi: 10.3390/su142215321.
[68] A. Alshamsi et A. Diabat, « A Genetic Algorithm for Reverse Logistics network design: A case study from the GCC », J. Clean. Prod., vol. 151, p. 652‑669, 2017, doi: 10.1016/j.jclepro.2017.02.096.
[69] A. Kumar, R. B. Chinnam, et A. Murat, « Hazard rate models for core return modeling in auto parts remanufacturing », Int. J. Prod. Econ., vol. 183, p. 354‑361, 2017, doi: 10.1016/j.ijpe.2016.07.002.
[70] S. Butzer, S. Schötz, M. Petroschke, et R. Steinhilper, « Development of a Performance Measurement System for International Reverse Supply Chains », présenté à Procedia CIRP, 2017, p. 251‑256. doi: 10.1016/j.procir.2016.11.264.
[71] K. Anastasiades, J. Goffin, M. Rinke, M. Buyle, A. Audenaert, et J. Blom, « Standardisation: An essential enabler for the circular reuse of construction components? A trajectory for a cleaner European construction industry », J. Clean. Prod., vol. 298, 2021, doi: 10.1016/j.jclepro.2021.126864.
[72] S. Guo, B. Shen, T.-M. Choi, et S. Jung, « A review on supply chain contracts in reverse logistics: Supply chain structures and channel leaderships », J. Clean. Prod., vol. 144, p. 387‑402, 2017, doi: 10.1016/j.jclepro.2016.12.112.
[73] J. Song, X. Ma, et R. Chen, « A profit distribution model of reverse logistics based on fuzzy dea efficiency—modified shapley value », Sustain. Switz., vol. 13, no 13, 2021, doi: 10.3390/su13137354.
[74] A. Cilacı Tombuş, N. Aras, et V. Verter, « Designing distribution systems with reverse flows », J. Remanufacturing, vol. 7, no 2‑3, p. 113‑137, 2017, doi: 10.1007/s13243-017-0036-4.
[75] N. Lakhmi, E. Sahin, et Y. Dallery, « Modelling the Returnable Transport Items (RTI) Short-Term Planning Problem », Sustain. Switz., vol. 14, no 24, 2022, doi: 10.3390/su142416796.
[76] « Scopus - Document details - A Benders Decomposition Method for Dynamic Facility Location in Integrated Closed Chain Problem | Signed in ». Consulté le: 6 mars 2023. [En ligne]. Disponible sur: https://www-scopus-com.eressources.imist.ma/record/display.uri?eid=2-s2.0-85101992320&origin=resultslist&sort=plf-f&src=s&st1=reverse+logistics&nlo=&nlr=&nls=&sid=47a6585f52005d935b728812c30ad7c5&sot=b&sdt=cl&cluster=scofreetoread%2c%22all%22%2ct%2bscosubjabbr%2c%22ENGI%22%2ct&sl=70&s=TITLE-ABS-KEY%28reverse+logistics%29+AND+PUBYEAR+%3e+2017+AND+PUBYEAR+%3c+2024&relpos=133&citeCnt=1&searchTerm=
[77] M. Benaissa, I. Slama, et M. M. Dhiaf, « Reverse logistics network problem using simulated annealing with and without priority-algorithm », Arch. Transp., vol. 46, no 3, p. 7‑17, 2018, doi: 10.5604/01.3001.0012.6503.
[78] J. Ali et H. Garg, « On spherical fuzzy distance measure and TAOV method for decision-making problems with incomplete weight information », Eng. Appl. Artif. Intell., vol. 119, p. 105726, mars 2023, doi: 10.1016/j.engappai.2022.105726.
[79] S. Bali, A. Gunasekaran, S. Aggarwal, B. Tyagi, et V. Bali, « A strategic decision-making framework for sustainable reverse operations », J. Clean. Prod., vol. 381, déc. 2022, doi: 10.1016/j.jclepro.2022.135058.
[80] V. Jain, « A three-stage hybrid integrated decision making framework for modelling reverse logistics operations: A case of a textile company », Int. J. Ind. Syst. Eng., vol. 23, no 3, p. 370‑392, 2016, doi: 10.1504/IJISE.2016.076869.
[81] Z. Krug, R. Guillaume, et O. Battaïa, « Lexicographic r* criterion for decision making under uncertainty in reverse logistics », présenté à IFAC-PapersOnLine, 2019, p. 499‑504. doi: 10.1016/j.ifacol.2019.11.113.
[82] L. A. Ocampo, C. M. Himang, A. Kumar, et M. Brezocnik, « A novel multiple criteria decision-making approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy AHP for mapping collection and distribution centers in reverse logistics », Adv. Prod. Eng. Manag., vol. 14, no 3, p. 297‑322, 2019, doi: 10.14743/apem2019.3.329.
[83] M. H. Shahidzadeh et S. Shokouhyar, « Shedding light on the reverse logistics’ decision-making: a social-media analytics study of the electronics industry in developing vs developed countries », Int. J. Sustain. Eng., vol. 15, no 1, p. 163‑178, 2022, doi: 10.1080/19397038.2022.2101706.
[84] J. Song, L. Jiang, Z. Liu, X. Leng, et Z. He, « Selection of Third-Party Reverse Logistics Service Provider Based on Intuitionistic Fuzzy Multi-Criteria Decision Making », Systems, vol. 10, no 5, 2022, doi: 10.3390/systems10050188.
[85] Ö. Uygun et A. Dede, « Performance evaluation of green supply chain management using integrated fuzzy multi-criteria decision making techniques », Comput. Ind. Eng., vol. 102, p. 502‑511, 2016, doi: 10.1016/j.cie.2016.02.020.
[86] H. Yu et W. D. Solvang, « Improving the Decision-Making of Reverse Logistics Network Design Part I: A MILP Model Under Stochastic Environment », Lect. Notes Electr. Eng., vol. 451, p. 431‑438, 2018, doi: 10.1007/978-981-10-5768-7_46.
[87] M. Zhang, M. Sun, D. Bi, et T. Liu, « Green Logistics Development Decision-Making: Factor Identification and Hierarchical Framework Construction », Ieee Access, vol. 8, p. 127897‑127912, 2020, doi: 10.1109/ACCESS.2020.3008443.
[88] « Scopus - Document details - A fuzzy decision-making approach for evaluation and selection of third party reverse logistics provider using fuzzy aras | Signed in ». Consulté le: 6 mars 2023. [En ligne]. Disponible sur: https://www-scopus-com.eressources.imist.ma/record/display.uri?eid=2-s2.0-85099724110&origin=resultslist&sort=plf-f&src=s&st1=reverse+logistics&nlo=&nlr=&nls=&sid=47a6585f52005d935b728812c30ad7c5&sot=b&sdt=cl&cluster=scofreetoread%2c%22all%22%2ct%2bscosubjabbr%2c%22ENGI%22%2ct&sl=70&s=TITLE-ABS-KEY%28reverse+logistics%29+AND+PUBYEAR+%3e+2017+AND+PUBYEAR+%3c+2024&relpos=140&citeCnt=11&searchTerm=
[89] T. Kleiner-Schaefer et K. J. Schaefer, « Barriers to university–industry collaboration in an emerging market: Firm-level evidence from Turkey », J. Technol. Transf., vol. 47, no 3, p. 872‑905, 2022, doi: 10.1007/s10961-022-09919-z.
[90] D. Battini, M. Bogataj, et A. Choudhary, « Closed Loop Supply Chain (CLSC): Economics, Modelling, Management and Control », Int. J. Prod. Econ., vol. 183, p. 319‑321, 2017, doi: 10.1016/j.ijpe.2016.11.020.
[91] R. M. Difrancesco et A. Huchzermeier, « Closed-loop supply chains: a guide to theory and practice », Int. J. Logist. Res. Appl., vol. 19, no 5, p. 443‑464, 2016, doi: 10.1080/13675567.2015.1116503.
[92] P. Dutta, D. Das, F. Schultmann, et M. Fröhling, « Design and planning of a closed-loop supply chain with three way recovery and buy-back offer », J. Clean. Prod., vol. 135, p. 604‑619, 2016, doi: 10.1016/j.jclepro.2016.06.108.
[93] M. Jahangoshai Rezaee, S. Yousefi, et J. Hayati, « A multi-objective model for closed-loop supply chain optimization and efficient supplier selection in a competitive environment considering quantity discount policy », J. Ind. Eng. Int., vol. 13, no 2, p. 199‑213, 2017, doi: 10.1007/s40092-016-0178-2.
[94] L. Steinke et K. Fischer, « Extension of multi-commodity closed-loop supply chain network design by aggregate production planning », Logist. Res., vol. 9, no 1, 2016, doi: 10.1007/s12159-016-0149-4.
[95] « Scopus - Document details - Robust Design of a Closed-Loop Supply Chain Considering Multiple Recovery Options and Carbon Policies under Uncertainty | Signed in ». Consulté le: 6 mars 2023. [En ligne]. Disponible sur: https://www-scopus-com.eressources.imist.ma/record/display.uri?eid=2-s2.0-85098748157&origin=resultslist&sort=plf-f&src=s&st1=reverse+logistics&nlo=&nlr=&nls=&sid=47a6585f52005d935b728812c30ad7c5&sot=b&sdt=cl&cluster=scofreetoread%2c%22all%22%2ct%2bscosubjabbr%2c%22ENGI%22%2ct&sl=70&s=TITLE-ABS-KEY%28reverse+logistics%29+AND+PUBYEAR+%3e+2017+AND+PUBYEAR+%3c+2024&relpos=136&citeCnt=2&searchTerm=
[96] « Scopus - Document details - Green closed-loop supply chain network under the COVID-19 pandemic | Signed in ». Consulté le: 2 mars 2023. [En ligne]. Disponible sur: https://www-scopus-com.eressources.imist.ma/record/display.uri?eid=2-s2.0-85113321848&origin=resultslist&sort=plf-f&src=s&st1=reverse+logistics+&nlo=&nlr=&nls=&sid=e8ab3146d8fc3b542ff22f381530c6f8&sot=b&sdt=cl&cluster=scofreetoread%2c%22all%22%2ct%2bscosubjabbr%2c%22ENGI%22%2ct&sl=52&s=TITLE-ABS-KEY%28reverse+logistics+%29+AND+PUBYEAR+%3e+2017&relpos=107&citeCnt=2&searchTerm=
[97] W. Wang, Y. Wang, D. Mo, et M. Tseng, « Component Reuse in Remanufacturing Across Multiple Product Generations », présenté à Procedia CIRP, 2017, p. 704‑708. doi: 10.1016/j.procir.2017.02.033.
[98] N. Abu Seman et al., « The mediating effect of green innovation on the relationship between green supply chain management and environmental performance », J. Clean. Prod., vol. 229, p. 115‑127, août 2019, doi: 10.1016/j.jclepro.2019.03.211.
[99] A. Bask, M. Rajahonka, S. Laari, T. Solakivi, J. Toyli, et L. Ojala, « Environmental sustainability in shipper-LSP relationships », J. Clean. Prod., vol. 172, p. 2986‑2998, janv. 2018, doi: 10.1016/j.jclepro.2017.11.112.
[100] V. Agarwal, K. Govindan, J. D. Darbari, et P. C. Jha, « An optimization model for sustainable solutions towards implementation of reverse logistics under collaborative framework », Int. J. Syst. Assur. Eng. Manag., vol. 7, no 4, p. 480‑487, 2016, doi: 10.1007/s13198-016-0486-3.
[101] T. Tumpa, S. Ali, M. Rahman, S. Paul, P. Chowdhury, et S. Khan, « Barriers to green supply chain management: An emerging economy context », J. Clean. Prod., vol. 236, nov. 2019, doi: 10.1016/j.jclepro.2019.117617.
[102] E. A. R. de Campos, I. C. de Paula, R. N. Pagani, et P. Guarnieri, « Reverse logistics for the end-of-life and end-of-use products in the pharmaceutical industry: a systematic literature review », Supply Chain Manag. Int. J., vol. 22, no 4, p. 375‑392, juin 2017, doi: 10.1108/SCM-01-2017-0040.
[103] S. M. Budijati, « Influence of environmental value and attitude on student’s intention to participate in a take back program », Asia-Pac. J. Sci. Technol., vol. 22, no 1, 2017, [En ligne]. Disponible sur: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051089645&partnerID=40&md5=086e59290ea4a0e79d1180d844952232
[104] H. Prajapati, R. Kant, et R. Shankar, « Selection of strategy for reverse logistics implementation », J. Glob. Oper. Strateg. Sourc., vol. ahead-of-print, déc. 2021, doi: 10.1108/JGOSS-04-2021-0034.
[105] S. A. Wardani, N. U. Handayani, et M. A. Wibowo, « Barriers for Implementing Reverse Logistics in the Construction Sectors », J. Ind. Eng. Manag., vol. 15, no 3, p. 385‑415, 2022, doi: 10.3926/jiem.3539.
[106] R. Rameezdeen, N. Chileshe, M. R. Hosseini, et S. Lehmann, « A qualitative examination of major barriers in implementation of reverse logistics within the South Australian construction sector », Int. J. Constr. Manag., vol. 16, no 3, p. 185‑196, 2016, doi: 10.1080/15623599.2015.1110275.
[107] S. Liu, Y. Zhang, Y. Liu, L. Wang, et X. Wang, « An “Internet of Things” enabled dynamic optimization method for smart vehicles and logistics tasks », J. Clean. Prod., vol. 215, p. 806‑820, avr. 2019, doi: 10.1016/j.jclepro.2018.12.254.
[108] D. Y. Mo, C. Y. T. Ma, D. C. K. Ho, et Y. Wang, « Design of a Reverse Logistics System with Internet of Things for Service Parts Management », Sustain. Switz., vol. 14, no 19, 2022, doi: 10.3390/su141912013.
[109] S. Zhu et Y. Wang, « Construction of reverse logistics management information system based on internet of things », Agro Food Ind. Hi-Tech, vol. 28, no 3, p. 738‑742, 2017.
[110] N. K. Dev, R. Shankar, et S. Swami, « Diffusion of green products in industry 4.0: Reverse logistics issues during design of inventory and production planning system », Int. J. Prod. Econ., vol. 223, p. 107519, mai 2020, doi: 10.1016/j.ijpe.2019.107519.
[111] A. Ghadge, D. G. Mogale, M. Bourlakis, L. M. Maiyar, et H. Moradlou, « Link between Industry 4.0 and green supply chain management: Evidence from the automotive industry », Comput. Ind. Eng., vol. 169, 2022, doi: 10.1016/j.cie.2022.108303.
[112] M. Sharma, S. Luthra, S. Joshi, A. Kumar, et A. Jain, « Green logistics driven circular practices adoption in industry 4.0 Era: A moderating effect of institution pressure and supply chain flexibility », J. Clean. Prod., vol. 383, p. 135284, janv. 2023, doi: 10.1016/j.jclepro.2022.135284.
[113] S. Rajput et S. P. Singh, « Industry 4.0 model for integrated circular economy-reverse logistics network », Int. J. Logist. Res. Appl., vol. 25, no 4‑5, p. 837‑877, mai 2022, doi: 10.1080/13675567.2021.1926950.
[114] K. Bouanane, Y. Benadada, et S. Marcotte, « Optimization of vehicle routing problem in the context of reverse logistics of handling containers in closed loop », présenté à Proceedings of the International Conference on Industrial Engineering and Operations Management, 2017, p. 2087‑2088. [En ligne]. Disponible sur: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018972722&partnerID=40&md5=63b2cdc02b2d2b49055a21c5f4857501
[115] « A systematic literature review of the vehicle routing problem in reverse logistics operations | Elsevier Enhanced Reader ». Consulté le: 7 février 2023. [En ligne]. Disponible sur: https://reader.elsevier.com/reader/sd/pii/S0360835223000359?token=FDC1AEFF8F705B933F3B502768461A96A4715ADD5CF1598FD9CC0704241D489AFAB2EA32BCC5930E03DCE1ED18946DB1&originRegion=eu-west-1&originCreation=20230207080655
[116] Y. Zhou, H. Zheng, F. Meng, et C. Li, « On the application of the vehicle routing problem with multi-distribution centers in reverse logistics », présenté à 2017 4th International Conference on Systems and Informatics, ICSAI 2017, 2017, p. 750‑755. doi: 10.1109/ICSAI.2017.8248386.
[117] V. F. Yu et S.-Y. Lin, « Solving the location-routing problem with simultaneous pickup and delivery by simulated annealing », Int. J. Prod. Res., vol. 54, no 2, p. 526‑549, 2016, doi: 10.1080/00207543.2015.1085655.
[118] A. T. Widjaja, A. Gunawan, P. Jodiawan, et V. F. Yu, « Incorporating a Reverse Logistics Scheme in a Vehicle Routing Problem with Cross-Docking Network: A Modelling Approach », présenté à 2020 IEEE 7th International Conference on Industrial Engineering and Applications, ICIEA 2020, 2020, p. 854‑858. doi: 10.1109/ICIEA49774.2020.9101972.
[119] M. Soysal, « Closed-loop Inventory Routing Problem for returnable transport items », Transp. Res. Part Transp. Environ., vol. 48, p. 31‑45, 2016, doi: 10.1016/j.trd.2016.07.001.
[120] H. Soleimani, Y. Chaharlang, et H. Ghaderi, « Collection and distribution of returned-remanufactured products in a vehicle routing problem with pickup and delivery considering sustainable and green criteria », J. Clean. Prod., vol. 172, p. 960‑970, janv. 2018, doi: 10.1016/j.jclepro.2017.10.124.
[121] R. Scanlon, Q. Wang, et J. Wang, « Ant Colony Optimisation model for vehicle routing problem with simultaneous pickup and delivery », présenté à Proceedings of the ASME Design Engineering Technical Conference, 2016. doi: 10.1115/DETC2016-59951.pdf.
[122] W. A. Cram, M. Templier, et G. Paré, « (Re)considering the concept of literature review reproducibility », J. Assoc. Inf. Syst., vol. 21, no 5, p. 1103‑1114, 2020, doi: 10.17705/1jais.00630.
[123] B. I. Oluleye, D. W. M. Chan, et P. Antwi-Afari, « Adopting Artificial Intelligence for enhancing the implementation of systemic circularity in the construction industry: A critical review », Sustain. Prod. Consum., vol. 35, p. 509‑524, 2023, doi: 10.1016/j.spc.2022.12.002.
[124] « Scopus - Document details - A Survey of Critical Success Factors in the Implementation of Reverse Logistics in Taiwan’s Optoelectronic Industry | Signed in ». Consulté le: 6 mars 2023. [En ligne]. Disponible sur: https://www-scopus-com.eressources.imist.ma/record/display.uri?eid=2-s2.0-85095969750&origin=resultslist&sort=plf-f&src=s&st1=reverse+logistics&nlo=&nlr=&nls=&sid=47a6585f52005d935b728812c30ad7c5&sot=b&sdt=cl&cluster=scofreetoread%2c%22all%22%2ct%2bscosubjabbr%2c%22ENGI%22%2ct&sl=70&s=TITLE-ABS-KEY%28reverse+logistics%29+AND+PUBYEAR+%3e+2017+AND+PUBYEAR+%3c+2024&relpos=190&citeCnt=1&searchTerm=
[125] L. Wei, Q. Zhang, et C. Zhang, « An evolutionary game approach of analysis for enterprises implementing reverse logistics », Int. J. Serv. Technol. Manag., vol. 23, no 3, p. 204‑218, 2017, doi: 10.1504/IJSTM.2017.085475.
[126] N. Chileshe, R. Rameezdeen, et M. R. Hosseini, « Drivers for adopting reverse logistics in the construction industry: A qualitative study », Eng. Constr. Archit. Manag., vol. 23, no 2, p. 134‑157, 2016, doi: 10.1108/ECAM-06-2014-0087.
[127] T. Chinda, « Examination of Factors Influencing the Successful Implementation of Reverse Logistics in the Construction Industry: Pilot Study », présenté à Procedia Engineering, 2017, p. 99‑105. doi: 10.1016/j.proeng.2017.03.128.
[128] J. Guo et X. Wang, « Network and route planning of cross-regional closed-loop logistics for fresh food e-commerce under environment of carbon trading », Jisuanji Jicheng Zhizao XitongComputer Integr. Manuf. Syst. CIMS, vol. 23, no 4, p. 874‑882, 2017, doi: 10.13196/j.cims.2017.04.023.
[129] S. Tavakkoli Moghaddam, M. Javadi, et S. M. Hadji Molana, « A reverse logistics chain mathematical model for a sustainable production system of perishable goods based on demand optimization », J. Ind. Eng. Int., vol. 15, no 4, p. 709‑721, 2019, doi: 10.1007/s40092-018-0287-1.
[130] T. Kiatcharoenpol et P. Sirisawat, « A selection of barrier factors affecting reverse logistics performance of thai electronic industry », Int. J. Intell. Eng. Syst., vol. 13, no 2, p. 117‑126, 2020, doi: 10.22266/ijies2020.0430.12.
[131] M. C. L. Couto, L. C. Lange, R. A. Rosa, et P. R. L. Couto, « Planning the location of facilities to implement a reverse logistic system of post-consumer packaging using a location mathematical model », Waste Manag. Res., vol. 35, no 12, p. 1254‑1265, 2017, doi: 10.1177/0734242X17730431.
[132] M. Ahlaqqach, J. Benhra, S. Mouatassim, et S. Lamrani, « Hybridization of game theory and ridesharing to optimize reverse logistics of healthcare textiles », présenté à IOP Conference Series: Materials Science and Engineering, 2020. doi: 10.1088/1757-899X/827/1/012004.
