Designing a model of a smart reverse supply chain strategic in the rubber industry with a mixed approach
Subject Areas :
Shiva Sadat Moosavipur
1
,
Mahmood Modiri
2
*
,
Kiamars Fathi
3
,
Gholamreza Hashemzadeh khorasgani
4
1 - Department of Industrial Management, South Tehran Branch, Islamic Azad University, Tehran, Iran.
2 - Department of Industrial Management, South Tehran Branch, Islamic Azad University, Tehran, Iran.
3 - Islamic Azad University South Branch
4 - Department of Management, South Tehran Branch, Islamic Azad University, Tehran, Iran. Computer
Keywords: strategic supply chain, reverse logistics, smart technology, rubber industry.,
Abstract :
One of the strategies of supply chain managers is to deploy smart technologies in the reverse supply chain to manage and reduce environmental pollution and preserve resources. This research has analyzed the relationships between the dimensions and criteria of the smart reverse supply chain strategic in the rubber industry with a mixed approach (qualitative-quantitative). The community of the qualitative part of the research includes 15 experts from the senior managers of the rubber industry, who were selected by targeted non-probability sampling and using the snowball technique. The quantitative sector community includes 272 expert managers of the rubber industry. The findings of the qualitative part with the combined content analysis (deductive-inductive) have shown that the model has five dimensions and 17 criteria. Then, the network map of the relationships between them was determined using the fuzzy DEMATEL method. The findings showed that the dimensions of "strategic smart", "infrastructure and technology", "logistics system" and "information integration" are effective on "strategic cooperation with partners" respectively in the intelligent reverse supply chain. Next, the relationships were tested with the structural equation modeling method and the findings of this section showed that the relationship between "strategic smart" with "infrastructure and technology", "logistics system", "information integration" and "strategic cooperation with partners" It was confirmed positively and meaningfully. Also, the relationship between "infrastructure and technology" and "logistics system" was confirmed with "information integration".
Abdel-Basset, M., Manogaran, G., & Mohamed, M. (2018). Internet of Things (IoT) and its impact on supply chain: A framework for building smart, secure and efficient systems. Future Generation Computer Systems, 86, 614–628. https://doi.org/10.1016/j.future.2018.04.051.
Akdogan, A. A., & Demirtas, O. (2014). Managerial role in strategic supply chain management. Procedia-Social and Behavioral Sciences, 150, 1020-1029. https://doi.org/10.1016/j.sbspro.2014.09.114.
Al-Shihmani, W. I. M., Ali Agha, M. S., & Masood, T. (2022). Reverse supply chains in Industry 4.0. In 29th International European Operations Management Association Annual Conference, Berlin, Germany. https://pureportal.strath.ac.uk/en/publications/reverse-supply-chains-in-industry-40.
Andoni, M., Robu, V., Flynn, D., Abram, S., Geach, D., Jenkins, D., McCallum, P., Peacock, A. (2019). Blockchain technology in the energy sector: A systematic review of challenges and opportunities. Renew. Sustain. Energy Rev. 100, 143–174. https://doi.org/10.1016/j.rser.2018.10.014.
Aslam, J., Saleem, A., Khan, N. T., & Kim, Y. B. (2021). Factors influencing blockchain adoption in supply chain management practices: A study based on the oil industry. Journal of Innovation & Knowledge, 6(2), 124–134. https://doi.org/10.1016/j.jik.2021.01.002.
Bag, S., & Pretorius, J. H. C. (2020). Relationships between industry 4.0, sustainable manufacturing and circular economy: proposal of a research framework. International Journal of Organizational Analysis, 30(4), 864-898. https://doi.org/10.1108/IJOA-04-2020-2120.
Bányai, T., Bányai, Á., & Kaczmar, I. (Eds.). (2022). Supply Chain - Recent Advances and New Perspectives in the Industry 4.0 Era. IntechOpen. https://doi.org/10.5772/intechopen.98060.
Batista, L., Bourlakis, M., Smart, P., Maull, R. (2018). In search of a circular supply chain archetypeea content-analysis-based literature review. Prod. Plann. Contr, 29(6), 438-451. https://doi.org/10.1080/09537287.2017.1343502.
Bilgin, E.A. (2021). Industry 4.0 and sustainable supply chain. M U Iktisadi ve Idari Bilimler Dergisi, 43(1), 123-144. https://doi.org/10.1016/j.procs.2022.07.094.
Borgi, T., Zoghlami, N., & Abed, M. (2017). Big data for transport and logistics: A review. In 2017 International Conference on Advanced Systems and Electric Technologies (IC_ASET) (pp. 44-49). IEEE. https://doi.org/10.1109/ASET.2017.7983742.
Bouzon, M., Govindan, K., Rodriguez, C., Campos, L. (2016). Identification and analysis of reverse logistics barriers using fuzzyDelphi method and AHP. Resources, Conservation and Recycling, 108, 182-197. https://doi.org/10.1016/j.resconrec.2015.05.021.
Chauhan, C., Singh, A., & Luthra, S. (2020). Barriers to Industry 4.0 adoption and its performance implications: An empirical investigation of emerging economy. Journal of Cleaner Production, 284, 124809. https://doi.org/10.1016/j.jclepro.2020.124809.
De Oliveira, U. R., Espindola, L. S., da Silva, I. R., da Silva, I. N., & Rocha, H. M. (2018). A systematic literature review on green supply chain management: Research implications and future perspectives. Journal of Cleaner Production, 187, 537–561. https://doi.org/10.1016/j.jclepro.2018.03.083.
Dev, N. K., Shankar, R., & Qaiser, F. H. (2020). Industry 4.0 and circular economy: Operational excellence for sustainable reverse supply chain performance. Resources, Conservation and Recycling, 153, 104583. https://doi.org/10.1016/j.resconrec.2019.104583.
Doan, L. T. T., Amer, Y., Lee, S.-H., Phuc, P. N. K., & Dat, L. Q. (2019). A Comprehensive Reverse Supply Chain Model using an Interactive Fuzzy Approach - a Case Study on the Vietnamese Electronics Industry. Applied Mathematical Modelling, 76, 87-108. https://doi.org/10.1016/j.apm.2019.06.003.
Farooque, M., Zhang, A., Thürer, M., Qu, T., & Huisingh, D. (2019). Circular supply chain management: A definition and structured literature review. Journal of Cleaner Production, 228, 882–900. https://doi.org/10.1016/j.jclepro.2019.04.303.
Fatorachian, H. and Kazemi, H. (2020). Impact of industry 4.0 on supply chain performance. Production Planning and Control, 11, 1-19. https://doi.org/10.1080/09537287.2020.1712487.
Gao, Y. L., Gong, B., Liu, Z., Tang, J., & Wang, C. (2023). The behavioural evolution of the smart electric vehicle battery reverse supply chain under government supervision. Industrial Management & Data Systems, 123(10), 2577-2606. https://doi.org/10.1108/IMDS-10-2022-0639.
García-Sánchez, E., Guerrero-Villegas, J., & Aguilera-Caracuel, J. (2018). How Do Technological Skills Improve Reverse Logistics? The Moderating Role of Top Management Support in Information Technology Use and Innovativeness. Sustainability, 11(1), 58. https://doi.org/10.3390/su11010058.
Garrido-Hidalgo, C., Olivares, T., Ramirez, F. J., & Roda-Sanchez, L. (2019). An end-to-end Internet of Things solution for Reverse Supply Chain Management in Industry 4.0. Computers in Industry, 112, 103127. https://doi.org/10.1016/j.compind.2019.103127.
Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., Ray, S., ... & Ray, S. (2021). An introduction to structural equation modeling. Partial least squares structural equation modeling (PLS-SEM) using R: a workbook, 1-29. https://doi.org/10.1007/978-3-030-80519-7_1.
Ilgin, M. A., & Gupta, S. M. (2010). Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art. Journal of environmental management, 91(3), 563-591. https://doi.org/10.1016/j.jenvman.2009.09.037.
Issaoui, Y., Khiat, A., Bahnasse, A., & Ouajji, H. (2019). Smart logistics: Study of the application of blockchain technology. Procedia Computer Science, 160, 266–271. https://doi.org/10.1016/j.procs.2019.09.467.
Kanashiro, P. (2020). Can environmental governance lower toxic emissions? A panel study of US high‐polluting industries. Business Strategy and the Environment, 29(4), 1634-1646. https://doi.org/10.1002/bse.2458.
Kazancoglu, Y., Ekinci, E., Mangla, S. K., Sezer, M. D., & Kayikci, Y. (2021). Performance evaluation of reverse logistics in food supply chains in a circular economy using system dynamics. Business Strategy and the Environment, 30(1), 71-91. https://doi.org/10.1002/bse.2610.
Krstić, M., Agnusdei, G. P., Miglietta, P. P., Tadić, S., & Roso, V. (2022). Applicability of Industry 4.0 Technologies in the Reverse Logistics: A Circular Economy Approach Based on COmprehensive Distance Based RAnking (COBRA) Method. Sustainability, 14(9), 5632. https://doi.org/10.3390/su14095632.
Kumar, A., Choudhary, S., Garza-Reyes, J. A., Kumar, V., Rehman Khan, S. A., & Mishra, N. (2021). Analysis of critical success factors for implementing industry 4.0 integrated circular supply chain–Moving towards sustainable operations. Production Planning & Control, 984-998. https://doi.org/10.1080/09537287.2021.1980905.
Le, T. (2020). Performance measures and metrics in a supply chain environment. Uncertain Supply Chain Management, 8(1), 93-104. https://doi.org/10.1108/01443570110358468.
Liao, Y., Deschamps, F., Loures, E. D. F. R., Ramos, L. F. P., (2017). Past, present and future of Industry 4.0-a systematic literature review and research agenda proposal. International journal of production research. 55(12), 3609-3629. https://doi.org/10.1080/00207543.2017.1308576.
Liu, Z., & Li, Z. (2019). A blockchain-based framework of cross-border e-commerce supply chain. International Journal of Information Management, 52, 102059. https://doi.org/10.1016/j.ijinfomgt.2019.102059.
Luthra, S., & Mangla, S. K. (2018). Evaluating challenges to Industry 4.0 initiatives for supply chain sustainability in emerging economies. Process Safety and Environmental Protection, 117, 168-179. https://doi.org/10.1016/j.psep.2018.04.018.
Machado, E., Scavarda, L. F., Gusmão Caiado, R. G., Tavares Thomé, A. M. (2020). Barriers and Enablers for the Integration of Industry 4.0 and Sustainability in Supply Chains of MSMEs. Sustainability 2021, 13(21), 11664. https://doi.org/10.3390/su132111664.
Mahindroo, A., Samalia, H. V., & Verma, P. (2018). Moderated influence of return frequency and resource commitment on information systems and reverse logistics strategic performance. International Journal of Productivity and Performance Management, 67(3), 550–570. https://doi.org/10.1108/ijppm-05-2016-0101.
Manavalan, E., Jayakrishna, K., (2019). A review of Internet of Things (IoT) embedded sustainable supply chain for industry 0/4requirements. Comput. Ind. Eng, 127, 925-953. https://doi.org/10.1016/j.cie.2018.11.030.
Masoumik, S. M., Abdul-Rashid, S. H., Olugu, E. U., & Ghazilla, R. A. R. (2015). A Strategic Approach to Develop Green Supply Chains. Procedia CIRP, 26, 670–676. https://doi.org/10.1016/j.procir.2014.07.091.
Mastos, T. D., Nizamis, A., Terzi, S., Gkortzis, D., Papadopoulos, A., Tsagkalidis, N., ... & Tzovaras, D. (2021). Introducing an application of an industry 4.0 solution for circular supply chain management. Journal of Cleaner Production, 300, 126886. https://doi.org/10.1016/j.jclepro.2021.126886.
Modiri, M., Shiramin, M. D., & Karimi Shirazi, H. (2019). Identification and Prioritization of Influencing Factors on Safety Performance with hybrid Fuzzy DEMATEL and Analytical Network Process Approach (DANP)(Case Study: A Combined Cycle Power Plant). Journal of Health & Safety at Work, 9(1), 49-60. [In Persian]. http://jhsw.tums.ac.ir/article-1-6038-en.html.
Morgan, T. R., Richey Jr, R. G., & Autry, C. W. (2016). Developing a reverse logistics competency. International Journal of Physical Distribution & Logistics Management, 46(3), 293–315. https://doi.org/10.1108/ijpdlm-05-2014-0124.
Muchaendepi, W., Mbowa, C., Kanyepe, J., & Mutingi, M. (2019). Challenges faced by the mining sector in implementing sustainable supply chain management in Zimbabwe. Procedia Manufacturing, 33, 493–500. https://doi.org/10.1016/j.promfg.2019.04.061.
Papadonikolaki, E. (2020). The digital supply chain: Mobilising supply chain management philosophy to reconceptualise digital technologies and building information modelling (BIM). Successful construction supply chain management: Concepts and case studies, 13-41. https://doi.org/10.1002/9781119450535.ch2.
Pourmehdi, M., Paydar, M. M., Ghadimi, P., & Azadnia, A. H. (2022). Analysis and evaluation of challenges in the integration of Industry 4.0 and sustainable steel reverse logistics network. Computers & Industrial Engineering, 163, 107808. https://doi.org/10.1016/j.cie.2021.107808.
Rahnamayiezekavat, P., Sorooshnia, E., Rashidi, M., Faraji, A., Mostafa, S., & Moon, S. (2022). Forensic analysis of the disputes typology of the NSW construction industry using PLS-SEM and prospective trend analysis. Buildings, 12(10), 1571. https://doi.org/10.3390/buildings12101571.
Rajput, S., & Singh, S. P. (2021). Industry 4.0 model for integrated circular economy-reverse logistics network. International Journal of Logistics Research and Applications, 1–41. https://doi.org/10.1080/13675567.2021.1926950.
Shang, C., Saeidi, P. and Goh, C.F. (2022). Evaluation of circular supply chains barriers in the era of Industry 4.0 transition using an extended decision-making approach. Journal of Enterprise Information Management, 35(4/5), 1100-1128. https://doi.org/10.1108/JEIM-09-2021-0396.
Sharma, M., Kamble, S., Venkatesh, M., Sehrawat, R., Belhadi, A., & Sharma, V. (2020). Industry 4.0 adoption for sustainability in multi-tier manufacturing supply chain in emerging economies. Journal of Cleaner Production, 281, 125013. https://doi.org/10.1016/j.jclepro.2020.125013.
Shoaib, M., Lim, M. K., & Wang, C. (2020). An integrated framework to prioritize blockchain-based supply chain success factors. Industrial Management & Data Systems, 120(11), 2103–2131. https://doi.org/10.1108/imds-04-2020-0194.
Singh, R. K., & Agrawal, S. (2018). Analyzing disposition strategies in reverse supply chains: fuzzy TOPSIS approach. Management of Environmental Quality: An International Journal, 29(3), 427–443. https://doi.org/10.1108/meq-12-2017-0177.
Singh, R. K., Kumar, R., & Kumar, P. (2016). Strategic issues in pharmaceutical supply chains: a review. International Journal of Pharmaceutical and Healthcare Marketing, 10(3), 234–257. https://doi.org/10.1108/ijphm-10-2015-0050.
Sun, X., Yu, H., & Solvang, W. D. (2022). Towards the smart and sustainable transformation of Reverse Logistics 4.0: a conceptualization and research agenda. Environmental Science and Pollution Research, 29(46), 69275–69293. https://doi.org/10.1007/s11356-022-22473-3.
Tseng, M.-L., Islam, M. S., Karia, N., Fauzi, F. A., & Afrin, S. (2019). A literature review on green supply chain management: Trends and future challenges. Resources, Conservation and Recycling, 141, 145–162. https://doi.org/10.1016/j.resconrec.2018.10.0.
Vimal, K. E. K., Churi, K., & Kandasamy, J. (2022). Analysing the drivers for adoption of Industry 4.0 technologies in a functional paper–cement–sugar circular sharing network. Sustainable Production and Consumption, 31, 459-477. https://doi.org/10.1016/j.spc.2022.03.006.
Wanganoo, L., & Tripathi, R. (2023). Reverse Logistics: Rebuilding Smart and Sustainable Transformation Based on Industry 4.0. In Fostering Sustainable Development in the Age of Technologies, 129-143. https://doi.org/10.1108/978-1-83753-060-120231011.
Wanganoo, L., Panda, B. P., Tripathi, R., & Shukla, V. K. (2021, March). Harnessing smart integration: Blockchain-enabled B2C reverse supply chain. In 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) (pp. 261-266). IEEE. https://doi.org/10.1109/ICCIKE51210.2021.9410677.
Xu, X. Q., Jin, C., & Cao, Y. D. (2012). Smart Reverse Supply Chain: An Application of IoT to Green Manufacturing. Applied Mechanics and Materials, 141, 493–497. https://doi.org/10.4028/www.scientific.net/AMM.141.493.
Yadav, S., & Singh, S. P. (2020). Blockchain critical success factors for sustainable supply chain. Resources, Conservation and Recycling, 152, 104505. https://doi.org/10.1016/j.resconrec.2019.1045.