Comprehensive Study on Supply Chain Contract Selection and Identification of Its Factors Using Meta-Synthesis Method
Subject Areas : International Journal of Mathematical Modelling & Computations
Esmaeil Kamaee
1
,
Mohammad Jalali Varnamkhasti
2
,
Mojtaba Aghajani
3
1 -
2 -
3 -
Keywords: Supply Chain Management , Contract Selection , Uncertainty Conditions , Supplier Selection , Meta-Synthesis Method ,
Abstract :
This study conducts a comprehensive examination of the factors influencing the selection of supply chain contracts in the context of uncertain market conditions. As organizations encounter increasingly complex supply chains impacted by unpredictable market fluctuations and diverse stakeholder demands, the need for informed and reliable decision-making becomes critically important. Employing a meta-synthesis method, this research synthesizes existing literature from the Iranian calendar years 1395 to 1402 (2016–2024 in the Gregorian calendar), identifying key criteria and sub-criteria necessary for effective supply chain contract selection. The study delves into the applicability of these factors across various sectors, with a particular focus on industries such as oil and gas, where contract management is essential for operational efficiency and risk mitigation. The findings underscore the multifaceted nature of contract selection and provide a structured framework to aid organizations in navigating the complexities of supply chain management, ultimately enhancing their competitive advantage in a dynamic business environment.
References:
[1] D. Simchi and P. K. Levi, *Managing the Supply Chain: The Definitive Guide for the Business*. McGraw-Hill, 2004.
[2] M. Alkahtani and H. Kaid, "Supplier selection in supply chain management: A review study," *Int. J. Bus. Perform. Supply Chain Model.*, vol. 10, no. 2, pp. 107–130, 2018.
[3] S. Abbasi, A. Saboury, and M. S. Jabalameli, "Reliable supply chain network design for 3PL providers using consolidation hubs under disruption risks considering product perishability: An application to a pharmaceutical distribution network," *Comput. Ind. Eng.*, vol. 152, 2021, Art. no. 107019.
[4] H. Beiki, S. M. Seyedhosseini, V. R. Ghezavati, and S. M. Seyedaliakbar, "Multi-objective optimization of multi-vehicle relief logistics considering satisfaction levels under uncertainty," *Int. J. Eng.*, vol. 33, no. 5, pp. 814-824, 2020.
[5] J. Langley and M. Long, "Third-party logistics study: The state of logistics outsourcing-results and findings of the 16th annual study," Mar. 8, 2012.
[6] C. N. Wang, N. A. T. Nguyen, T. T. Dang, and C. M. Lu, "A compromised decision-making approach to third-party logistics selection in sustainable supply chain using fuzzy AHP and fuzzy VIKOR methods," *Mathematics*, vol. 9, no. 8, p. 886, 2021.
[7] T. J. Pettit, J. Fiksel, and K. L. Croxton, "Ensuring supply chain resilience: Development of a conceptual framework," *J. Bus. Logist.*, vol. 31, no. 1, pp. 1-21, 2010.
[8] B. K. Sovacool, I. Mukherjee, I. M. Drupady, and A. L. D’Agostino, "Evaluating energy security performance from 1990 to 2010 for eighteen countries," *Energy*, vol. 36, no. 10, pp. 5846-5853, 2011.
[9] M. A. L. I. Youssouf, "Effects of world oil price movement on macroeconomic performance in Saudi Arabia," 2019. [Online]. Available: http://psasir.upm.edu.my/id/eprint/83078/.
[10] M. Bradshaw, T. van de Graaf, and R. Connolly, "Preparing for the new oil order? Saudi Arabia and Russia," *Energy Strategy Rev.*, vol. 26, Art. no. 100374, 2019.
[11] J. D. Hamilton, "What is an oil shock?" *J. Econ.*, vol. 113, pp. 363–398, 2003.
[12] A. K. Yazdi, P. F. Wanke, T. Hanne, and E. Bottani, "A decision-support approach under uncertainty for evaluating reverse logistics capabilities of healthcare providers in Iran," *J. Enterp. Inf. Manag.*, vol. 33, pp. 991–1022, 2020.
[13] T. F. d. Poberschnigg, M. L. Pimenta, and P. Hilletofth, "How can cross-functional integration support the development of resilience capabilities? The case of collaboration in the automotive industry," *Supply Chain Manag.: Int. J.*, vol. 25, pp. 789–801, 2020.
[14] A. K. Yazdi, P. F. Wanke, T. Hanne, F. Abdi, and A. H. Sarfaraz, "Supplier selection in the oil & gas industry: A comprehensive approach for multi-criteria decision analysis," *Socioecon. Plann. Sci.*, vol. 79, Art. no. 101142, 2021.
[15] G. Governatori, F. Idelberger, Z. Milosevic, R. Riveret, G. Sartor, and X. Xu, "On legal contracts, imperative and declarative smart contracts, blockchain systems," *Artif. Intell. Law*, vol. 26, pp. 377–409, 2018.
[16] S. A. Khan, A. Chaabane, and F. T. Dweiri, "Multi-criteria decision-making methods application in supply chain management: A systematic literature," *Multi-Criteria Methods Techn. Appl. Supply Chain Manag.*, vol. 1, pp. 10-5772, 2018.
[17] A. Štilić, A. Puška, D. Božanić, and D. Tešić, "Multi-criteria decision-making in public procurement: An empirical study of contractor selection for landslide rehabilitation," *Inf.*, vol. 14, no. 7, p. 357, 2023.
[18] I. Meidute-Kavaliauskiene and S. Ghorbani, "Supply chain contract selection in the healthcare industry: A hybrid MCDM method in uncertainty environment," *Indep. J. Manag. Prod.*, vol. 12, no. 4, pp. 1160-1187, 2021.
[19] H. S. Kılıç and A. S. Yalçın, "Green supplier selection via an integrated multi-attribute decision-making approach," *Sakarya Univ. Sci. Inst. J.*, vol. 23, no. 6, pp. 1066-1079, 2019.
[20] C. A. Weber, J. R. Current, and W. C. Benton, "Vendor selection criteria and methods," *Eur. J. Oper. Res.*, vol. 50, no. 1, pp. 2–18, 1991.
[21] Y. Yang and L. Wu, "Grey entropy method for green supplier selection," in *Proc. Int. Conf. Wireless Commun., Netw. Mobile Comput.*, Shanghai, 2007, pp. 4682-4685.
[22] C. Y. Chiou, C. W. Hsu, and W. Y. Hwang, "Comparative investigation on green supplier selection of the American, Japanese and Taiwanese electronics industry in China," in *Proc. Int. Conf. Ind. Eng. Eng. Manag.*, IEEE, vol. 8, no. 11, 2008, pp. 1909-1914.
[23] A. H. I. Lee, H. Y. Kang, C. F. Hsu, and H. C. Hung, "A green supplier selection model for high-tech industry," *Expert Syst. Appl.*, vol. 36, no. 4, pp. 7917-7927, 2009.
[24] W. Ho, X. Xu, and P. K. Dey, "Multi-criteria decision-making approaches for supplier evaluation and selection: A literature review," *Eur. J. Oper. Res.*, vol. 202, no. 1, pp. 16–24, 2010.
[25] G. Büyüközkan and G. Çifçi, "A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers," *Expert Syst. Appl.*, vol. 39, no. 3, pp. 3000–3011, 2012.
[26] S. H. Hashemi, A. Karimi, and M. Tavana, "An integrated green supplier selection approach with analytic network process and improved grey relational analysis," *Int. J. Prod. Econ.*, vol. 159, pp. 178–191, 2015.
[27] J. Watrobski and W. Salabun, "Green supplier selection framework based on multi-criteria decision-analysis approach," in *Sustainable Design and Manufacturing*, Springer, 2016, pp. 361–371.
[28] P. Kumar, R. K. Singh, and A. Vaish, "Suppliers’ green performance evaluation using fuzzy extended ELECTRE approach," *Clean Technol. Environ.*, vol. 19, no. 3, pp. 809–821, 2017.
[29] G. Mehralian, A. R. Gatari, M. Morakabati, and H. Vatanpour, "Developing a suitable model for supplier selection based on supply chain risks: An empirical study from Iranian pharmaceutical companies," *J. Pharm. Res.*, vol. 11, no. 1, pp. 209–219, 2011.
[30] N. Pourghahreman and A. N. Qhatari, "Supplier selection in an agent-based pharmaceutical supply chain: An application of TOPSIS and PROMETHEE," *Uncertain Supply Chain Manag.*, vol. 3, pp. 231–240, 2015.
[31] I. Badi and M. Ballem, "Supplier selection using the rough BWM-MAIRCA model: A case study in pharmaceutical supplying in Libya," *Decis. Making: Appl. Manag. Eng.*, vol. 1, no. 2, pp. 16–33, 2018.
[32] P. Toktaş-Palut, "An integrated contract for coordinating a three-stage green forward and reverse supply chain under fairness concerns," *J. Clean. Prod.*, vol. 279, p. 123735, 2021.
[33] M. Azadi, M. Jafarian, R. F. Saen, and S. M. Mirhedayatian, "A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context," *Comput. Oper. Res.*, vol. 54, pp. 274–285, 2015.
[34] A. Alizadeh and S. Yousefi, "An integrated Taguchi loss function–fuzzy cognitive map–MCGP with utility function approach for supplier selection problem," *Neural Comput. Appl.*, vol. 31, no. 11, pp. 7595–7614, 2019.
[35] C. O. Swift, "Preferences for single sourcing and supplier selection criteria," *J. Bus. Res.*, vol. 32, no. 2, pp. 105–111, 1995.
[36] P. Pitchipoo, P. Venkumar, and S. Rajakarunakaran, "A distinct decision model for the evaluation and selection of a supplier for a chemical processing industry," *Int. J. Prod. Res.*, vol. 50, no. 16, pp. 4635–4648, 2012.
[37] S. Theiben and S. Spinler, "Strategic analysis of manufacturer-supplier partnerships: An ANP model for collaborative CO2 reduction management," *Eur. J. Oper. Res.*, vol. 233, no. 2, pp. 383–397, 2014.
[38] M. Chand, N. Bhatia, and R. K. Singh, "ANP-MOORA-based approach for the analysis of selected issues of green supply chain management," *An Int. J.*, vol. 25, no. 2, pp. 642–659, 2016.
[39] S. Elabed, A. Shamayleh, and A. Daghfous, "Sustainability-oriented innovation in the health care supply chain," *Comput. Ind. Eng.*, vol. 160, p. 107564, 2021.
[40] K. Behnke and M. Janssen, "Boundary conditions for traceability in food supply chains using blockchain technology," *Int. J. Inf. Manag.*, vol. 52, p. 101969, 2020.
[41] T. Bocek and B. Stiller, "Smart contracts—Blockchains in the wings," in *Digital Marketplaces Unleashed*, Springer, 2018, pp. 169–184.
[42] V. Shermin, "Disrupting governance with blockchains and smart contracts," *Strategic Change*, vol. 26, pp. 499–509, 2017.
[43] K.-J. Hu and F. Y. Vincent, "An integrated approach for the electronic contract manufacturer selection problem," *Omega*, vol. 62, pp. 68–81, 2016.
[44] J. Walter, "Safety management at the frontier: Cooperation with contractors in oil and gas companies," Safety Science, vol. 91, pp. 394-404, 2017.
[45] J. Li, X. Luo, Q. Wang, and W. Zhou, "Supply chain coordination through capacity reservation contract and quantity flexibility contract," Omega, vol. 99, 102195, 2021.
[46] M. H. Farahani, M. Dawande, H. Gurnani, and G. Janakiraman, "Better to bend than to break: Sharing supply risk using the supply-flexibility contract," Manufacturing & Service Operations Management, vol. 23, pp. 1257–1274, 2021.
[47] L. A. Kantari, I. N. Pujawan, N. I. Arvitrida, and P. Hilletofth, "Mixing contract-based and on-demand sourcing of transportation services for improved supply chain performance under supply uncertainties," International Journal of Systems Science: Operations and Logistics, pp. 1–17, 2021
.
[48] T. Avinadav, T. Chernonog, I. Meilijson, and Y. Perlman, "A consignment contract with revenue sharing between an app developer and a distribution platform," International Journal of Production Economics, vol. 243, 108322, 2022.
[49] A. Yucekaya, "Electricity trading for coal-fired power plants in Turkish power market considering uncertainty in spot, derivatives and bilateral contract market," Renewable and Sustainable Energy Reviews, vol. 159, p. 112189, 2022.
[50] M. Farsi and J. A. Erkoyuncu, "An agent-based approach to quantify the uncertainty in product-service system contract decisions: A case study in the machine tool industry," International Journal of Production Economics, vol. 233, 108014, 2021.
[51] A. Chakraborty, N. K. Verma, and A. K. Chatterjee, "A single supplier multi buyer supply chain coordination under vendor-managed inventory: Ensuring buyers’ interests in a decentralized setting," IIM Kozhikode Society & Management Review, 22779752211072936, 2022.
[52] A. Clark and G. Reggiani, "Contracts for acquiring information," arXiv, arXiv:2103.03911, 2021.
[53] Z. Zhang, X. Zhao, Y. Qin, H. Si, and L. Zhou, "Interval type-2 fuzzy TOPSIS approach with utility theory for subway station operational risk evaluation," Journal of Ambient Intelligence and Humanized Computing, 2021.
[54] A. Ebekozien, C. Aigbavboa, A. N. C. Nwaole, E. O. Dako, and A. I. Awo-Osagie, "Quantity surveyor’s ethical responsiveness on construction projects: Issues and solutions," International Journal of Building Pathology and Adaptation, 2021.
[55] R. Aïd, D. Possamaï, and N. Touzi, "Optimal electricity demand response contracting with responsiveness incentives," Mathematics of Operations Research, 2022.
[56] F. D. Akin, G. Polat, H. Turkoglu, and A. Damci, "A crashing-based time-cost trade-off model considering quality cost and contract clauses," International Journal of Construction Management, pp. 1-10, 2021.
[57] B. Samanta and B. C. Giri, "A two-echelon supply chain model with price and warranty dependent demand and pro-rata warranty policy under cost sharing contract," Decision Making Applications in Management and Engineering, vol. 4, pp. 47–75, 2021.
[58] J. H. Lee, E. Mistur, L. Liu, and B. Ashuri, "Determining contract requirements for quality assurance program in innovative project delivery," in Proc. Construction Research Congress 2022, Arlington, VA, USA, 9–12 March 2022, pp. 179–188.
[59] O. Bugrov and O. Bugrova, "Formalization of selection of contract-organizational project delivery strategy," IOPscience, 2018. Available: https://iopscience.iop.org/article/10.1088/1755-1315/304/3/032001/meta. Accessed: July 10, 2022.
[60] A. Cheaitou, R. Larbi, and B. Al Housani, "Decision making framework for tender evaluation and contractor selection in public organizations with risk considerations," Socio-Economic Planning Sciences, vol. 68, 100620, 2019.
[61] J. Ni, J. Zhao, and L. K. Chu, "Supply contracting and process innovation in a dynamic supply chain with information asymmetry," European Journal of Operational Research, vol. 288, pp. 552–562, 2021.
[62] H. Sarvari, D. W. M. Chan, B. Ashrafi, T. O. Olawumi, and N. Banaitiene, "Prioritization of contracting methods for water and wastewater projects using the fuzzy analytic hierarchy process method," Energies, vol. 14, no. 7815, 2021.
[63] S. V. Novikov and O. N. Dmitriev, "Vision of genesis of presentation of hi-tech project during competitive selection," Russian Engineering Research, vol. 38, pp. 320–322, 2018.
[64] J. Ding, W. Zhai, Z. Wang, K. Zhang, and J. Cai, "Modelling and design analysis of contract payment methods in civil engineering projects," in Proc. IOP Conf. Ser.: Earth Environ. Sci., vol. 304, p. 32001, 2019.
[65] A. Camci, Ö. Çimen, and S. Gül, "Selection of contract type in construction projects using spherical AHP method," in Proc. Int. Online Conf. Intell. Decision Sci., Istanbul, Turkey, 7-8 Aug. 2020, pp. 531–547.
[66] Y.-W. Zhou, X. Lin, Y. Zhong, and W. Xie, "Contract selection for a multi-service sharing platform with self-scheduling capacity," Omega, vol. 86, pp. 198–217, 2019.
[67] X. Zhao, B. Gu, F. Gao, and S. Chen, "Matching model of energy supply and demand of the integrated energy system in coastal areas," Journal of Coastal Research, vol. 103, pp. 983–989, 2020.
[68] N. Carbonara and R. Pellegrino, "Public-private partnerships for energy efficiency projects: A win-win model to choose the energy performance contracting structure," Journal of Cleaner Production, vol. 170, pp. 1064–1075, 2018.
[69] A. Ruml and M. Qaim, "Effects of marketing contracts and resource-providing contracts in the African small farm sector: Insights from oil palm production in Ghana," World Development, vol. 136, 105110, 2020.
[70] G. M. Magableh, M. Z. Mistarihi, T. Rababah, A. Almajwal, and N. Al-Rayyan, "A developed model and fuzzy multi-criteria decision-making method to evaluate supply chain nervousness strategies," Mathematics, vol. 12, no. 10, 1604, 2024.
[71] A. Jafari and M. Amiri, "Meta-synthesis: A method for synthesizing qualitative studies," Journal of Humanities Methodology, vol. 25, no. 99, pp. 73–78, 2020.
[72] M. Shafiei and H. Saleh, "Supplier selection using goal programming and modified Bandrez algorithm," Operations Research in Its Applications, vol. 20, no. 2, pp. 97-117, 2023. [In Persian]
[73] Z. Davoodi Biragh and M. Seif Barghi, "A review of contract research in supply chains considering number of levels and types of contracts," Supply Chain Management, vol. 23, no. 73, pp. 13-24, 2022. [In Persian]
[74] I. Heydarzadeh Ermaghan, I. Mahdavi, and N. Mahdavi Amiri, "Applying type-2 fuzzy sets and clustering algorithm in supplier selection: A case study," International Journal of Industrial Engineering and Production Management, University of Science and Technology, vol. 3, no. 27, 2016. [In Persian]
[75] I. Nasohi, A. Shahandeh Nokabadi, and G. Maslahi, "Designing wholesale and profit sharing contracts in a two-level supply chain," Industrial Engineering and Management, vol. 33, no. 1, pp. 13-22, 2017. [In Persian]
[76] H. Shateri, M. Amouzad, H. Hanan, and N. Mokhtarzadeh, "Comparison of buyback, discount, and flexible contracts in multilevel supply chains with stochastic demand and game theory approach," Industrial Management Perspectives, vol. 34, no. 2, pp. 131-151, 2020. [In Persian]
[77] J. Behnamian and M. Bashar, "Designing a collaborative fuzzy multi-level supply chain considering discounts and marketing costs: A game theory approach," Industrial Management Studies, vol. 18, no. 56, pp. 51-86, 2020. [In Persian]
[78] S. Najiazarpour and E. Timouri, "Contractor evaluation and selection in civil projects using supply chain management and PROMETHEE method," Industrial Engineering and Management (Sharif Journal of Engineering Sciences), vol. 34, no. 1, pp. 29-37, 2018. [In Persian]
[79] Z. Moqaddas, M. Vaezi Ghasemi, and B. Rahmani Parchikalaei, "Best supplier selection with flexible inputs and outputs in supply chain management using data envelopment analysis," New Research in Mathematics (Basic Sciences, Islamic Azad University), vol. 3, no. 11, pp. 31-39, 2017. [In Persian]
[80] A. Hatami-Marbini, S. Hekmat, and P. J. Agrell, "A strategy-based framework for supplier selection: A grey PCA-DEA approach," Operational Research, vol. 22, no. 1, pp. 263-297, 2022.
[81] H. Hadian, S. Chahardoli, A. M. Golmohammadi, and A. Mostafaeipour, "A practical framework for supplier selection decisions with an application to the automotive sector," International Journal of Production Research, vol. 58, no. 10, pp. 2997-3014, 2020.
[82] B. Güneri and M. Deveci, "Evaluation of supplier selection in the defense industry using Q-rung orthopair fuzzy set-based EDAS approach," Expert Systems with Applications, vol. 222, p. 119846, 2023.
[83] S. Yin, B. Li, H. Dong, and Z. Xing, "A new dynamic multicriteria decision-making approach for green supplier selection in construction projects under time sequence," Mathematical Problems in Engineering, 2017, p. 7954784.
[84] T. Gegovska, R. Koker, and T. Cakar, "Green supplier selection using fuzzy multiple-criteria decision-making methods and artificial neural networks," Computational Intelligence and Neuroscience, 2020, p. 8811834.
[85] R. M. Zulqarnain, I. Siddique, S. Ahmad, A. Iampan, G. Jovanov, Đ. Vranješ, and J. Vasiljević, "Pythagorean fuzzy soft Einstein ordered weighted average operator in sustainable supplier selection problem," Mathematical Problems in Engineering, 2021, p. 2559979.
[86] K. H. Chang, "A novel contractor selection technique using the extended PROMETHEE II method," Mathematical Problems in Engineering, 2021, p. 3664709.
[87] K. Govindan, A. Kaul, A. Darbari, J. D. Jha, and P. C. Jha, "Analysis of supplier evaluation and selection strategies for sustainable collaboration: A combined approach of best–worst method and TOMADA de Decisao Interactiva Multicriterio," Business Strategy and the Environment, vol. 32, no. 7, pp. 4426-4447, 2023.
[88] M. Ortiz-Barrios, J. Cabarcas-Reyes, A. Ishizaka, M. Barbati, N. Jaramillo-Rueda, and G. de Jesús Carrascal-Zambrano, "A hybrid fuzzy multi-criteria decision making model for selecting a sustainable supplier of forklift filters: A case study from the mining industry," Annals of Operations Research, vol. 307, pp. 443-481, 2021.
[89] M. A. Ortiz-Barrios, B. Kucukaltan, D. Carvajal-Tinoco, D. Neira-Rodado, and G. Jiménez, "Strategic hybrid approach for selecting suppliers of high-density polyethylene," Journal of Multi-Criteria Decision Analysis, vol. 24, no. 5-6, pp. 296-316, 2017.
[90] F. S. Garzon, M. Enjolras, M. Camargo, and L. Morel, "A green procurement methodology based on Kraljic matrix for suppliers evaluation and selection: A case study from the chemical sector," Supply Chain Forum: An International Journal, vol. 20, no. 3, pp. 185-201, 2019.
[91] E. Pourjavad and A. Shahin, "Green supplier development programmes selection: A hybrid fuzzy multi-criteria decision-making approach," International Journal of Sustainable Engineering, vol. 13, no. 6, pp. 463-472, 2020.
[92] O. Anuchitchanchai, K. Suthiwartnarueput, and P. Pornchaiwiseskul, "Multi-dependent criteria supplier selection with uncertain performance evaluation," Journal of International Logistics and Trade, vol. 16, no. 2, pp. 32-45, 2018.
[93] M. T. Ahmad and S. Mondal, "Dynamic supplier selection through optimal ranking under two-echelon system," Benchmarking: An International Journal, vol. 26, no. 8, pp. 2574-2607, 2019.
[94] J. Girubha, S. Vinodh, and V. Kek, "Application of interpretative structural modelling integrated multi-criteria decision making methods for sustainable supplier selection," Journal of Modelling in Management, vol. 11, no. 2, pp. 358-388, 2016.
[95] K. Govindan, R. Khodaverdi, and A. Vafadarnikjoo, "A grey DEMATEL approach to develop third-party logistics provider selection criteria," Industrial Management & Data Systems, vol. 116, no. 4, pp. 690-722, 2016.
[96] X. Wang and J. Cai, "A group decision-making model based on distance-based VIKOR with incomplete heterogeneous information and its application to emergency supplier selection," Kybernetes, vol. 46, no. 3, pp. 501-529, 2017.
[97] C. Yu, Z. Zou, Y. Shao, and F. Zhang, "An integrated supplier selection approach incorporating decision maker’s risk attitude using ANN, AHP and TOPSIS methods," Kybernetes, vol. 49, no. 9, pp. 2263-2284, 2020.
[98] A. Rezaei, M. Rahiminezhad Galankashi, S. Mansoorzadeh, and F. Mokhatab Rafiei, "Supplier selection and order allocation with lean manufacturing criteria: An integrated MCDM and bi-objective modelling approach," Engineering Management Journal, vol. 32, no. 4, pp. 253-271, 2020.
[99] S. Karami, S. M. Mousavi, and J. Antucheviciene, "Enhancing contractor selection process by a new interval-valued fuzzy decision-making model based on SWARA and CoCoSo methods," Axioms, vol. 12, no. 8, p. 729, 2023.
[100] S. Varchandi, A. Memari, and M. R. A. Jokar, "An integrated best-worst method and fuzzy TOPSIS for resilient-sustainable supplier selection," Decision Analytics Journal, 2024, p. 100488.
[101] B. Aslani, M. Rabiee, and M. Tavana, "An integrated information fusion and grey multi-criteria decision-making framework for sustainable supplier selection," International Journal of Systems Science: Operations & Logistics, vol. 8, no. 4, pp. 348-370, 2021.
[102] M. Yazdani, D. Pamucar, P. Chatterjee, and A. E. Torkayesh, "A multi-tier sustainable food supplier selection model under uncertainty," Operations Management Research, vol. 15, no. 1, pp. 116-145, 2022.
[103] A. Awasthi, K. Govindan, and S. Gold, "Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach," International Journal of Production Economics, vol. 195, pp. 106-117, 2018.
[104] T. K. Wang, Q. Zhang, H. Y. Chong, and X. Wang, "Integrated supplier selection framework in a resilient construction supply chain: An approach via analytic hierarchy process (AHP) and grey relational analysis (GRA)," Sustainability, vol. 9, no. 2, p. 289, 2017.
[105] S. Najiazarpour and H. Pouresfandyani, "Assessment and selection of contractors in specific contracting projects with supply chain approach, using GRAY and AHP methods as decision support," Modern Applied Science, vol. 13, no. 4, pp. 1-51, 2019.
[106] M. Jafari Eskandari and N. Shakiba, "Supply chain management," National Conference on New and Innovative Ideas in Management, Accounting, Legal Studies, and Social Sciences [In Persian].
[107] F. Jamalou, B. Khani, and R. Shahin, "Green supplier selection in the green supply chain based on fuzzy set theory and grey relational analysis," International Conference on Novel Ideas in Management, Economics, and Accounting [In Persian].
[108] A. Ulutaş, "Supplier selection by using a fuzzy integrated model for a textile company," Engineering Economics, vol. 30, no. 5, pp. 579-590, 2019.
[109] S. F. Miralami, "Supply chain integration," Supply Chain Management and Logistics Conference [In Persian].
[110] R. Samizadeh and P. Afshari, "A bi-objective supplier selection model in the supply chain and its solution through metaheuristic algorithms," Journal Title, vol. 28, no. 3, pp. 391-404, 2017 [In Persian].
[111] N. Jain and A. R. Singh, "Sustainable supplier selection criteria classification for Indian iron and steel industry: A fuzzy modified Kano model approach," International Journal of Sustainable Engineering, vol. 13, no. 1, pp. 17-32, 2020.
[112] N. Jain, A. R. Singh, and R. K. Upadhyay, "Sustainable supplier selection under attractive criteria through FIS and integrated fuzzy MCDM techniques," International Journal of Sustainable Engineering, vol. 13, no. 6, pp. 441-462, 2020.
[113] E. KhanMohammadi, H. Talaie, H. Safari, and R. Salehzadeh, "Supplier evaluation and selection for sustainable supply chain management under uncertainty conditions," International Journal of Sustainable Engineering, vol. 11, no. 6, pp. 382-396, 2018.
[114] G. Petrović, J. Mihajlović, Ž. Ćojbašić, M. Madić, and D. Marinković, "Comparison of three fuzzy MCDM methods for solving the supplier selection problem," Facta Universitatis, Series: Mechanical Engineering, vol. 17, no. 3, pp. 455-469, 2019.
[115] L. Abdullah, Z. Ong, and S. N. Rahim, "An intuitionistic fuzzy decision-making for developing cause and effect criteria of subcontractors selection," International Journal of Computational Intelligence Systems, vol. 14, no. 1, pp. 991-1002, 2021.
[116] T. L. Nguyen, P. H. Nguyen, H. A. Pham, T. G. Nguyen, D. T. Nguyen, T. H. Tran, et al., "A novel integrating data envelopment analysis and spherical fuzzy MCDM approach for sustainable supplier selection in steel industry," Mathematics, vol. 10, no. 11, p. 1897, 2022.
[117] A. Karbassi Yazdi, Y. Tan, C. Spulbar, R. Birau, and J. Alfaro, "An approach for supply chain management contract selection in the oil and gas industry: Combination of uncertainty and multi-criteria decision-making methods," Mathematics, vol. 10, no. 18, p. 3230, 2022.
[118] H. K. Sarvestani, A. Zadeh, M. Seyfi, and M. Rasti-Barzoki, "Integrated order acceptance and supply chain scheduling problem with supplier selection and due date assignment," Applied Soft Computing, vol. 75, pp. 72-83, 2019.
[119] M. Fathollah and M. Najafi, "Development of financial management models for supply chains and chain financing," Research in Industrial Engineering in Production Systems, vol. 4, no. 9, pp. 257-269, 2016 [In Persian].
[120] J. Rezaei, T. Nispeling, J. Sarkis, and L. Tavasszy, "A supplier selection life cycle approach integrating traditional and environmental criteria using the best worst method," Journal of Cleaner Production, vol. 135, pp. 577-588, 2016.
[121] R. K. Mavi, M. Goh, and N. K. Mavi, "Supplier selection with Shannon entropy and fuzzy TOPSIS in the context of supply chain risk management," Procedia-Social and Behavioral Sciences, vol. 235, pp. 216-225, 2016.
[122] M. M. Hasan, D. Jiang, A. S. Ullah, and M. Noor-E-Alam, "Resilient supplier selection in logistics 4.0 with heterogeneous information," Expert Systems with Applications, vol. 139, p. 112799, 2020.
[123] H. Taherdoost and A. Brard, "Analyzing the process of supplier selection criteria and methods," Procedia Manufacturing, vol. 32, pp. 1024-1034, 2019.
[124] N. Goker, "A novel integrated intuitionistic fuzzy decision aid for agile outsourcing provider selection: A COVID-19 pandemic-based scenario analysis," Soft Computing, vol. 25, no. 21, pp. 13723-13740, 2021.
[125] G. Polat, E. Eray, and B. N. Bingol, "An integrated fuzzy MCGDM approach for supplier selection problem," Journal of Civil Engineering and Management, vol. 23, no. 7, pp. 926-942, 2017.
[126] R. Ismailpour, A. Azar, and M. Malekzadeh, "A hybrid model for selecting green business partners and green supply chain management," Second International Conference on Industrial Management, Babolsar, 2017 [In Persian].
[127] S. Hajiyekhchali, M. Parchami Jalal, and M. K. Asadi, "Supplier selection in green supply chains for oil and gas industry projects using a combination of fuzzy multicriteria decision-making methods," Environmental Risk Management, vol. 4, no. 3, pp. 231-246, 2017 [In Persian].
[128] D. Kannan, "Role of multiple stakeholders and the critical success factor theory for the sustainable supplier selection process," International Journal of Production Economics, vol. 195, pp. 391-418, 2018.
[129] I. M. dos Santos, L. R. Peixoto Roselli, A. L. G. da Silva, and L. H. Alencar, "A supplier selection model for a wholesaler and retailer company based on FITradeoff multicriteria method," Mathematical Problems in Engineering, vol. 2020, no. 1, p. 8796282, 2020.
[130] C. N. Kristy and T. Y. Zagloel, "An integrated analytical hierarchy process and Monte Carlo method approach for supplier selection in construction's supply chain," Proceedings of the 3rd Asia Pacific Conference on Research in Industrial and Systems Engineering, 2020, pp. 300-304.
[131] D. A. Wood, "Supplier selection for development of petroleum industry facilities, applying multi-criteria decision making techniques including fuzzy and intuitionistic fuzzy TOPSIS with flexible entropy weighting," Journal of Natural Gas Science and Engineering, vol. 28, pp. 594-612, 2016.
[132] A. Fallahpour, S. Nayeri, M. Sheikhalishahi, K. Y. Wong, G. Tian, and A. M. Fathollahi-Fard, "A hyper-hybrid fuzzy decision-making framework for the sustainable-resilient supplier selection problem: A case study of Malaysian palm oil industry," Environmental Science and Pollution Research, 2021, pp. 1-21.
[133] S. A. Hoseini, S. H. Zolfani, and P. Skackauskas, "A combined interval type-2 fuzzy MCDM framework for the resilient supplier selection problem," Mathematics, 2022.
[134] R. R. Menon and V. Ravi, "Using AHP-TOPSIS methodologies in the selection of sustainable suppliers in an electronics supply chain," Cleaner Materials, vol. 5, p. 100130, 2022.
[135] A. Fallahpour, K. Y. Wong, S. Rajoo, and A. M. Mardani, "An integrated fuzzy carbon management-based model for suppliers’ performance evaluation and selection in green supply chain management," International Journal of Fuzzy Systems, vol. 22, pp. 712-723, 2020.
[136] M. Rafieizadeh and M. Zanjirani, "Supplier efficiency evaluation using grey data envelopment analysis with decision-maker preferences," Strategic Management in Industrial Systems, vol. 17, no. 59, pp. 60-75, 2022 [In Persian].
[137] S. H. Zegardi and S. A. Shahidi, "Analysis of the meat supply chain considering carbon emission costs under revenue sharing and cost contracts," Industrial Management, vol. 14, no. 4, pp. 618-637, 2022 [In Persian].
[138] A. Arshadi Khamseh, "A time-dependent sustainable–flexible supplier selection considering uncertainty and TODIM method in Iranian dairy industries," Global Journal of Flexible Systems Management, vol. 22, pp. 113-126, 2021.
[139] S. M. Ahmed and C. L. Karmaker, "Supply chain contract selection using Delphi-based AHP: A case study in the Bangladeshi super shop," Journal of Supply Chain Management Systems, vol. 8, no. 3, p. 37, 2019.
[140] L. Lapide, "Optimizing decision-making under uncertainty," Journal of Business Forecasting, vol. 41, no. 1, 2022.
[1] D. Simchi and P. K. Levi, *Managing the Supply Chain: The Definitive Guide for the Business*. McGraw-Hill, 2004.
[2] M. Alkahtani and H. Kaid, "Supplier selection in supply chain management: A review study," *Int. J. Bus. Perform. Supply Chain Model.*, vol. 10, no. 2, pp. 107–130, 2018.
[3] S. Abbasi, A. Saboury, and M. S. Jabalameli, "Reliable supply chain network design for 3PL providers using consolidation hubs under disruption risks considering product perishability: An application to a pharmaceutical distribution network," *Comput. Ind. Eng.*, vol. 152, 2021, Art. no. 107019.
[4] H. Beiki, S. M. Seyedhosseini, V. R. Ghezavati, and S. M. Seyedaliakbar, "Multi-objective optimization of multi-vehicle relief logistics considering satisfaction levels under uncertainty," *Int. J. Eng.*, vol. 33, no. 5, pp. 814-824, 2020.
[5] J. Langley and M. Long, "Third-party logistics study: The state of logistics outsourcing-results and findings of the 16th annual study," Mar. 8, 2012.
[6] C. N. Wang, N. A. T. Nguyen, T. T. Dang, and C. M. Lu, "A compromised decision-making approach to third-party logistics selection in sustainable supply chain using fuzzy AHP and fuzzy VIKOR methods," *Mathematics*, vol. 9, no. 8, p. 886, 2021.
[7] T. J. Pettit, J. Fiksel, and K. L. Croxton, "Ensuring supply chain resilience: Development of a conceptual framework," *J. Bus. Logist.*, vol. 31, no. 1, pp. 1-21, 2010.
[8] B. K. Sovacool, I. Mukherjee, I. M. Drupady, and A. L. D’Agostino, "Evaluating energy security performance from 1990 to 2010 for eighteen countries," *Energy*, vol. 36, no. 10, pp. 5846-5853, 2011.
[9] M. A. L. I. Youssouf, "Effects of world oil price movement on macroeconomic performance in Saudi Arabia," 2019. [Online]. Available: http://psasir.upm.edu.my/id/eprint/83078/.
[10] M. Bradshaw, T. van de Graaf, and R. Connolly, "Preparing for the new oil order? Saudi Arabia and Russia," *Energy Strategy Rev.*, vol. 26, Art. no. 100374, 2019.
[11] J. D. Hamilton, "What is an oil shock?" *J. Econ.*, vol. 113, pp. 363–398, 2003.
[12] A. K. Yazdi, P. F. Wanke, T. Hanne, and E. Bottani, "A decision-support approach under uncertainty for evaluating reverse logistics capabilities of healthcare providers in Iran," *J. Enterp. Inf. Manag.*, vol. 33, pp. 991–1022, 2020.
[13] T. F. d. Poberschnigg, M. L. Pimenta, and P. Hilletofth, "How can cross-functional integration support the development of resilience capabilities? The case of collaboration in the automotive industry," *Supply Chain Manag.: Int. J.*, vol. 25, pp. 789–801, 2020.
[14] A. K. Yazdi, P. F. Wanke, T. Hanne, F. Abdi, and A. H. Sarfaraz, "Supplier selection in the oil & gas industry: A comprehensive approach for multi-criteria decision analysis," *Socioecon. Plann. Sci.*, vol. 79, Art. no. 101142, 2021.
[15] G. Governatori, F. Idelberger, Z. Milosevic, R. Riveret, G. Sartor, and X. Xu, "On legal contracts, imperative and declarative smart contracts, blockchain systems," *Artif. Intell. Law*, vol. 26, pp. 377–409, 2018.
[16] S. A. Khan, A. Chaabane, and F. T. Dweiri, "Multi-criteria decision-making methods application in supply chain management: A systematic literature," *Multi-Criteria Methods Techn. Appl. Supply Chain Manag.*, vol. 1, pp. 10-5772, 2018.
[17] A. Štilić, A. Puška, D. Božanić, and D. Tešić, "Multi-criteria decision-making in public procurement: An empirical study of contractor selection for landslide rehabilitation," *Inf.*, vol. 14, no. 7, p. 357, 2023.
[18] I. Meidute-Kavaliauskiene and S. Ghorbani, "Supply chain contract selection in the healthcare industry: A hybrid MCDM method in uncertainty environment," *Indep. J. Manag. Prod.*, vol. 12, no. 4, pp. 1160-1187, 2021.
[19] H. S. Kılıç and A. S. Yalçın, "Green supplier selection via an integrated multi-attribute decision-making approach," *Sakarya Univ. Sci. Inst. J.*, vol. 23, no. 6, pp. 1066-1079, 2019.
[20] C. A. Weber, J. R. Current, and W. C. Benton, "Vendor selection criteria and methods," *Eur. J. Oper. Res.*, vol. 50, no. 1, pp. 2–18, 1991.
[21] Y. Yang and L. Wu, "Grey entropy method for green supplier selection," in *Proc. Int. Conf. Wireless Commun., Netw. Mobile Comput.*, Shanghai, 2007, pp. 4682-4685.
[22] C. Y. Chiou, C. W. Hsu, and W. Y. Hwang, "Comparative investigation on green supplier selection of the American, Japanese and Taiwanese electronics industry in China," in *Proc. Int. Conf. Ind. Eng. Eng. Manag.*, IEEE, vol. 8, no. 11, 2008, pp. 1909-1914.
[23] A. H. I. Lee, H. Y. Kang, C. F. Hsu, and H. C. Hung, "A green supplier selection model for high-tech industry," *Expert Syst. Appl.*, vol. 36, no. 4, pp. 7917-7927, 2009.
[24] W. Ho, X. Xu, and P. K. Dey, "Multi-criteria decision-making approaches for supplier evaluation and selection: A literature review," *Eur. J. Oper. Res.*, vol. 202, no. 1, pp. 16–24, 2010.
[25] G. Büyüközkan and G. Çifçi, "A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers," *Expert Syst. Appl.*, vol. 39, no. 3, pp. 3000–3011, 2012.
[26] S. H. Hashemi, A. Karimi, and M. Tavana, "An integrated green supplier selection approach with analytic network process and improved grey relational analysis," *Int. J. Prod. Econ.*, vol. 159, pp. 178–191, 2015.
[27] J. Watrobski and W. Salabun, "Green supplier selection framework based on multi-criteria decision-analysis approach," in *Sustainable Design and Manufacturing*, Springer, 2016, pp. 361–371.
[28] P. Kumar, R. K. Singh, and A. Vaish, "Suppliers’ green performance evaluation using fuzzy extended ELECTRE approach," *Clean Technol. Environ.*, vol. 19, no. 3, pp. 809–821, 2017.
[29] G. Mehralian, A. R. Gatari, M. Morakabati, and H. Vatanpour, "Developing a suitable model for supplier selection based on supply chain risks: An empirical study from Iranian pharmaceutical companies," *J. Pharm. Res.*, vol. 11, no. 1, pp. 209–219, 2011.
[30] N. Pourghahreman and A. N. Qhatari, "Supplier selection in an agent-based pharmaceutical supply chain: An application of TOPSIS and PROMETHEE," *Uncertain Supply Chain Manag.*, vol. 3, pp. 231–240, 2015.
[31] I. Badi and M. Ballem, "Supplier selection using the rough BWM-MAIRCA model: A case study in pharmaceutical supplying in Libya," *Decis. Making: Appl. Manag. Eng.*, vol. 1, no. 2, pp. 16–33, 2018.
[32] P. Toktaş-Palut, "An integrated contract for coordinating a three-stage green forward and reverse supply chain under fairness concerns," *J. Clean. Prod.*, vol. 279, p. 123735, 2021.
[33] M. Azadi, M. Jafarian, R. F. Saen, and S. M. Mirhedayatian, "A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context," *Comput. Oper. Res.*, vol. 54, pp. 274–285, 2015.
[34] A. Alizadeh and S. Yousefi, "An integrated Taguchi loss function–fuzzy cognitive map–MCGP with utility function approach for supplier selection problem," *Neural Comput. Appl.*, vol. 31, no. 11, pp. 7595–7614, 2019.
[35] C. O. Swift, "Preferences for single sourcing and supplier selection criteria," *J. Bus. Res.*, vol. 32, no. 2, pp. 105–111, 1995.
[36] P. Pitchipoo, P. Venkumar, and S. Rajakarunakaran, "A distinct decision model for the evaluation and selection of a supplier for a chemical processing industry," *Int. J. Prod. Res.*, vol. 50, no. 16, pp. 4635–4648, 2012.
[37] S. Theiben and S. Spinler, "Strategic analysis of manufacturer-supplier partnerships: An ANP model for collaborative CO2 reduction management," *Eur. J. Oper. Res.*, vol. 233, no. 2, pp. 383–397, 2014.
[38] M. Chand, N. Bhatia, and R. K. Singh, "ANP-MOORA-based approach for the analysis of selected issues of green supply chain management," *An Int. J.*, vol. 25, no. 2, pp. 642–659, 2016.
[39] S. Elabed, A. Shamayleh, and A. Daghfous, "Sustainability-oriented innovation in the health care supply chain," *Comput. Ind. Eng.*, vol. 160, p. 107564, 2021.
[40] K. Behnke and M. Janssen, "Boundary conditions for traceability in food supply chains using blockchain technology," *Int. J. Inf. Manag.*, vol. 52, p. 101969, 2020.
[41] T. Bocek and B. Stiller, "Smart contracts—Blockchains in the wings," in *Digital Marketplaces Unleashed*, Springer, 2018, pp. 169–184.
[42] V. Shermin, "Disrupting governance with blockchains and smart contracts," *Strategic Change*, vol. 26, pp. 499–509, 2017.
[43] K.-J. Hu and F. Y. Vincent, "An integrated approach for the electronic contract manufacturer selection problem," *Omega*, vol. 62, pp. 68–81, 2016.
[44] J. Walter, "Safety management at the frontier: Cooperation with contractors in oil and gas companies," Safety Science, vol. 91, pp. 394-404, 2017.
[45] J. Li, X. Luo, Q. Wang, and W. Zhou, "Supply chain coordination through capacity reservation contract and quantity flexibility contract," Omega, vol. 99, 102195, 2021.
[46] M. H. Farahani, M. Dawande, H. Gurnani, and G. Janakiraman, "Better to bend than to break: Sharing supply risk using the supply-flexibility contract," Manufacturing & Service Operations Management, vol. 23, pp. 1257–1274, 2021.
[47] L. A. Kantari, I. N. Pujawan, N. I. Arvitrida, and P. Hilletofth, "Mixing contract-based and on-demand sourcing of transportation services for improved supply chain performance under supply uncertainties," International Journal of Systems Science: Operations and Logistics, pp. 1–17, 2021
.
[48] T. Avinadav, T. Chernonog, I. Meilijson, and Y. Perlman, "A consignment contract with revenue sharing between an app developer and a distribution platform," International Journal of Production Economics, vol. 243, 108322, 2022.
[49] A. Yucekaya, "Electricity trading for coal-fired power plants in Turkish power market considering uncertainty in spot, derivatives and bilateral contract market," Renewable and Sustainable Energy Reviews, vol. 159, p. 112189, 2022.
[50] M. Farsi and J. A. Erkoyuncu, "An agent-based approach to quantify the uncertainty in product-service system contract decisions: A case study in the machine tool industry," International Journal of Production Economics, vol. 233, 108014, 2021.
[51] A. Chakraborty, N. K. Verma, and A. K. Chatterjee, "A single supplier multi buyer supply chain coordination under vendor-managed inventory: Ensuring buyers’ interests in a decentralized setting," IIM Kozhikode Society & Management Review, 22779752211072936, 2022.
[52] A. Clark and G. Reggiani, "Contracts for acquiring information," arXiv, arXiv:2103.03911, 2021.
[53] Z. Zhang, X. Zhao, Y. Qin, H. Si, and L. Zhou, "Interval type-2 fuzzy TOPSIS approach with utility theory for subway station operational risk evaluation," Journal of Ambient Intelligence and Humanized Computing, 2021.
[54] A. Ebekozien, C. Aigbavboa, A. N. C. Nwaole, E. O. Dako, and A. I. Awo-Osagie, "Quantity surveyor’s ethical responsiveness on construction projects: Issues and solutions," International Journal of Building Pathology and Adaptation, 2021.
[55] R. Aïd, D. Possamaï, and N. Touzi, "Optimal electricity demand response contracting with responsiveness incentives," Mathematics of Operations Research, 2022.
[56] F. D. Akin, G. Polat, H. Turkoglu, and A. Damci, "A crashing-based time-cost trade-off model considering quality cost and contract clauses," International Journal of Construction Management, pp. 1-10, 2021.
[57] B. Samanta and B. C. Giri, "A two-echelon supply chain model with price and warranty dependent demand and pro-rata warranty policy under cost sharing contract," Decision Making Applications in Management and Engineering, vol. 4, pp. 47–75, 2021.
[58] J. H. Lee, E. Mistur, L. Liu, and B. Ashuri, "Determining contract requirements for quality assurance program in innovative project delivery," in Proc. Construction Research Congress 2022, Arlington, VA, USA, 9–12 March 2022, pp. 179–188.
[59] O. Bugrov and O. Bugrova, "Formalization of selection of contract-organizational project delivery strategy," IOPscience, 2018. Available: https://iopscience.iop.org/article/10.1088/1755-1315/304/3/032001/meta. Accessed: July 10, 2022.
[60] A. Cheaitou, R. Larbi, and B. Al Housani, "Decision making framework for tender evaluation and contractor selection in public organizations with risk considerations," Socio-Economic Planning Sciences, vol. 68, 100620, 2019.
[61] J. Ni, J. Zhao, and L. K. Chu, "Supply contracting and process innovation in a dynamic supply chain with information asymmetry," European Journal of Operational Research, vol. 288, pp. 552–562, 2021.
[62] H. Sarvari, D. W. M. Chan, B. Ashrafi, T. O. Olawumi, and N. Banaitiene, "Prioritization of contracting methods for water and wastewater projects using the fuzzy analytic hierarchy process method," Energies, vol. 14, no. 7815, 2021.
[63] S. V. Novikov and O. N. Dmitriev, "Vision of genesis of presentation of hi-tech project during competitive selection," Russian Engineering Research, vol. 38, pp. 320–322, 2018.
[64] J. Ding, W. Zhai, Z. Wang, K. Zhang, and J. Cai, "Modelling and design analysis of contract payment methods in civil engineering projects," in Proc. IOP Conf. Ser.: Earth Environ. Sci., vol. 304, p. 32001, 2019.
[65] A. Camci, Ö. Çimen, and S. Gül, "Selection of contract type in construction projects using spherical AHP method," in Proc. Int. Online Conf. Intell. Decision Sci., Istanbul, Turkey, 7-8 Aug. 2020, pp. 531–547.
[66] Y.-W. Zhou, X. Lin, Y. Zhong, and W. Xie, "Contract selection for a multi-service sharing platform with self-scheduling capacity," Omega, vol. 86, pp. 198–217, 2019.
[67] X. Zhao, B. Gu, F. Gao, and S. Chen, "Matching model of energy supply and demand of the integrated energy system in coastal areas," Journal of Coastal Research, vol. 103, pp. 983–989, 2020.
[68] N. Carbonara and R. Pellegrino, "Public-private partnerships for energy efficiency projects: A win-win model to choose the energy performance contracting structure," Journal of Cleaner Production, vol. 170, pp. 1064–1075, 2018.
[69] A. Ruml and M. Qaim, "Effects of marketing contracts and resource-providing contracts in the African small farm sector: Insights from oil palm production in Ghana," World Development, vol. 136, 105110, 2020.
[70] G. M. Magableh, M. Z. Mistarihi, T. Rababah, A. Almajwal, and N. Al-Rayyan, "A developed model and fuzzy multi-criteria decision-making method to evaluate supply chain nervousness strategies," Mathematics, vol. 12, no. 10, 1604, 2024.
[71] A. Jafari and M. Amiri, "Meta-synthesis: A method for synthesizing qualitative studies," Journal of Humanities Methodology, vol. 25, no. 99, pp. 73–78, 2020.
[72] M. Shafiei and H. Saleh, "Supplier selection using goal programming and modified Bandrez algorithm," Operations Research in Its Applications, vol. 20, no. 2, pp. 97-117, 2023. [In Persian]
[73] Z. Davoodi Biragh and M. Seif Barghi, "A review of contract research in supply chains considering number of levels and types of contracts," Supply Chain Management, vol. 23, no. 73, pp. 13-24, 2022. [In Persian]
[74] I. Heydarzadeh Ermaghan, I. Mahdavi, and N. Mahdavi Amiri, "Applying type-2 fuzzy sets and clustering algorithm in supplier selection: A case study," International Journal of Industrial Engineering and Production Management, University of Science and Technology, vol. 3, no. 27, 2016. [In Persian]
[75] I. Nasohi, A. Shahandeh Nokabadi, and G. Maslahi, "Designing wholesale and profit sharing contracts in a two-level supply chain," Industrial Engineering and Management, vol. 33, no. 1, pp. 13-22, 2017. [In Persian]
[76] H. Shateri, M. Amouzad, H. Hanan, and N. Mokhtarzadeh, "Comparison of buyback, discount, and flexible contracts in multilevel supply chains with stochastic demand and game theory approach," Industrial Management Perspectives, vol. 34, no. 2, pp. 131-151, 2020. [In Persian]
[77] J. Behnamian and M. Bashar, "Designing a collaborative fuzzy multi-level supply chain considering discounts and marketing costs: A game theory approach," Industrial Management Studies, vol. 18, no. 56, pp. 51-86, 2020. [In Persian]
[78] S. Najiazarpour and E. Timouri, "Contractor evaluation and selection in civil projects using supply chain management and PROMETHEE method," Industrial Engineering and Management (Sharif Journal of Engineering Sciences), vol. 34, no. 1, pp. 29-37, 2018. [In Persian]
[79] Z. Moqaddas, M. Vaezi Ghasemi, and B. Rahmani Parchikalaei, "Best supplier selection with flexible inputs and outputs in supply chain management using data envelopment analysis," New Research in Mathematics (Basic Sciences, Islamic Azad University), vol. 3, no. 11, pp. 31-39, 2017. [In Persian]
[80] A. Hatami-Marbini, S. Hekmat, and P. J. Agrell, "A strategy-based framework for supplier selection: A grey PCA-DEA approach," Operational Research, vol. 22, no. 1, pp. 263-297, 2022.
[81] H. Hadian, S. Chahardoli, A. M. Golmohammadi, and A. Mostafaeipour, "A practical framework for supplier selection decisions with an application to the automotive sector," International Journal of Production Research, vol. 58, no. 10, pp. 2997-3014, 2020.
[82] B. Güneri and M. Deveci, "Evaluation of supplier selection in the defense industry using Q-rung orthopair fuzzy set-based EDAS approach," Expert Systems with Applications, vol. 222, p. 119846, 2023.
[83] S. Yin, B. Li, H. Dong, and Z. Xing, "A new dynamic multicriteria decision-making approach for green supplier selection in construction projects under time sequence," Mathematical Problems in Engineering, 2017, p. 7954784.
[84] T. Gegovska, R. Koker, and T. Cakar, "Green supplier selection using fuzzy multiple-criteria decision-making methods and artificial neural networks," Computational Intelligence and Neuroscience, 2020, p. 8811834.
[85] R. M. Zulqarnain, I. Siddique, S. Ahmad, A. Iampan, G. Jovanov, Đ. Vranješ, and J. Vasiljević, "Pythagorean fuzzy soft Einstein ordered weighted average operator in sustainable supplier selection problem," Mathematical Problems in Engineering, 2021, p. 2559979.
[86] K. H. Chang, "A novel contractor selection technique using the extended PROMETHEE II method," Mathematical Problems in Engineering, 2021, p. 3664709.
[87] K. Govindan, A. Kaul, A. Darbari, J. D. Jha, and P. C. Jha, "Analysis of supplier evaluation and selection strategies for sustainable collaboration: A combined approach of best–worst method and TOMADA de Decisao Interactiva Multicriterio," Business Strategy and the Environment, vol. 32, no. 7, pp. 4426-4447, 2023.
[88] M. Ortiz-Barrios, J. Cabarcas-Reyes, A. Ishizaka, M. Barbati, N. Jaramillo-Rueda, and G. de Jesús Carrascal-Zambrano, "A hybrid fuzzy multi-criteria decision making model for selecting a sustainable supplier of forklift filters: A case study from the mining industry," Annals of Operations Research, vol. 307, pp. 443-481, 2021.
[89] M. A. Ortiz-Barrios, B. Kucukaltan, D. Carvajal-Tinoco, D. Neira-Rodado, and G. Jiménez, "Strategic hybrid approach for selecting suppliers of high-density polyethylene," Journal of Multi-Criteria Decision Analysis, vol. 24, no. 5-6, pp. 296-316, 2017.
[90] F. S. Garzon, M. Enjolras, M. Camargo, and L. Morel, "A green procurement methodology based on Kraljic matrix for suppliers evaluation and selection: A case study from the chemical sector," Supply Chain Forum: An International Journal, vol. 20, no. 3, pp. 185-201, 2019.
[91] E. Pourjavad and A. Shahin, "Green supplier development programmes selection: A hybrid fuzzy multi-criteria decision-making approach," International Journal of Sustainable Engineering, vol. 13, no. 6, pp. 463-472, 2020.
[92] O. Anuchitchanchai, K. Suthiwartnarueput, and P. Pornchaiwiseskul, "Multi-dependent criteria supplier selection with uncertain performance evaluation," Journal of International Logistics and Trade, vol. 16, no. 2, pp. 32-45, 2018.
[93] M. T. Ahmad and S. Mondal, "Dynamic supplier selection through optimal ranking under two-echelon system," Benchmarking: An International Journal, vol. 26, no. 8, pp. 2574-2607, 2019.
[94] J. Girubha, S. Vinodh, and V. Kek, "Application of interpretative structural modelling integrated multi-criteria decision making methods for sustainable supplier selection," Journal of Modelling in Management, vol. 11, no. 2, pp. 358-388, 2016.
[95] K. Govindan, R. Khodaverdi, and A. Vafadarnikjoo, "A grey DEMATEL approach to develop third-party logistics provider selection criteria," Industrial Management & Data Systems, vol. 116, no. 4, pp. 690-722, 2016.
[96] X. Wang and J. Cai, "A group decision-making model based on distance-based VIKOR with incomplete heterogeneous information and its application to emergency supplier selection," Kybernetes, vol. 46, no. 3, pp. 501-529, 2017.
[97] C. Yu, Z. Zou, Y. Shao, and F. Zhang, "An integrated supplier selection approach incorporating decision maker’s risk attitude using ANN, AHP and TOPSIS methods," Kybernetes, vol. 49, no. 9, pp. 2263-2284, 2020.
[98] A. Rezaei, M. Rahiminezhad Galankashi, S. Mansoorzadeh, and F. Mokhatab Rafiei, "Supplier selection and order allocation with lean manufacturing criteria: An integrated MCDM and bi-objective modelling approach," Engineering Management Journal, vol. 32, no. 4, pp. 253-271, 2020.
[99] S. Karami, S. M. Mousavi, and J. Antucheviciene, "Enhancing contractor selection process by a new interval-valued fuzzy decision-making model based on SWARA and CoCoSo methods," Axioms, vol. 12, no. 8, p. 729, 2023.
[100] S. Varchandi, A. Memari, and M. R. A. Jokar, "An integrated best-worst method and fuzzy TOPSIS for resilient-sustainable supplier selection," Decision Analytics Journal, 2024, p. 100488.
[101] B. Aslani, M. Rabiee, and M. Tavana, "An integrated information fusion and grey multi-criteria decision-making framework for sustainable supplier selection," International Journal of Systems Science: Operations & Logistics, vol. 8, no. 4, pp. 348-370, 2021.
[102] M. Yazdani, D. Pamucar, P. Chatterjee, and A. E. Torkayesh, "A multi-tier sustainable food supplier selection model under uncertainty," Operations Management Research, vol. 15, no. 1, pp. 116-145, 2022.
[103] A. Awasthi, K. Govindan, and S. Gold, "Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach," International Journal of Production Economics, vol. 195, pp. 106-117, 2018.
[104] T. K. Wang, Q. Zhang, H. Y. Chong, and X. Wang, "Integrated supplier selection framework in a resilient construction supply chain: An approach via analytic hierarchy process (AHP) and grey relational analysis (GRA)," Sustainability, vol. 9, no. 2, p. 289, 2017.
[105] S. Najiazarpour and H. Pouresfandyani, "Assessment and selection of contractors in specific contracting projects with supply chain approach, using GRAY and AHP methods as decision support," Modern Applied Science, vol. 13, no. 4, pp. 1-51, 2019.
[106] M. Jafari Eskandari and N. Shakiba, "Supply chain management," National Conference on New and Innovative Ideas in Management, Accounting, Legal Studies, and Social Sciences [In Persian].
[107] F. Jamalou, B. Khani, and R. Shahin, "Green supplier selection in the green supply chain based on fuzzy set theory and grey relational analysis," International Conference on Novel Ideas in Management, Economics, and Accounting [In Persian].
[108] A. Ulutaş, "Supplier selection by using a fuzzy integrated model for a textile company," Engineering Economics, vol. 30, no. 5, pp. 579-590, 2019.
[109] S. F. Miralami, "Supply chain integration," Supply Chain Management and Logistics Conference [In Persian].
[110] R. Samizadeh and P. Afshari, "A bi-objective supplier selection model in the supply chain and its solution through metaheuristic algorithms," Journal Title, vol. 28, no. 3, pp. 391-404, 2017 [In Persian].
[111] N. Jain and A. R. Singh, "Sustainable supplier selection criteria classification for Indian iron and steel industry: A fuzzy modified Kano model approach," International Journal of Sustainable Engineering, vol. 13, no. 1, pp. 17-32, 2020.
[112] N. Jain, A. R. Singh, and R. K. Upadhyay, "Sustainable supplier selection under attractive criteria through FIS and integrated fuzzy MCDM techniques," International Journal of Sustainable Engineering, vol. 13, no. 6, pp. 441-462, 2020.
[113] E. KhanMohammadi, H. Talaie, H. Safari, and R. Salehzadeh, "Supplier evaluation and selection for sustainable supply chain management under uncertainty conditions," International Journal of Sustainable Engineering, vol. 11, no. 6, pp. 382-396, 2018.
[114] G. Petrović, J. Mihajlović, Ž. Ćojbašić, M. Madić, and D. Marinković, "Comparison of three fuzzy MCDM methods for solving the supplier selection problem," Facta Universitatis, Series: Mechanical Engineering, vol. 17, no. 3, pp. 455-469, 2019.
[115] L. Abdullah, Z. Ong, and S. N. Rahim, "An intuitionistic fuzzy decision-making for developing cause and effect criteria of subcontractors selection," International Journal of Computational Intelligence Systems, vol. 14, no. 1, pp. 991-1002, 2021.
[116] T. L. Nguyen, P. H. Nguyen, H. A. Pham, T. G. Nguyen, D. T. Nguyen, T. H. Tran, et al., "A novel integrating data envelopment analysis and spherical fuzzy MCDM approach for sustainable supplier selection in steel industry," Mathematics, vol. 10, no. 11, p. 1897, 2022.
[117] A. Karbassi Yazdi, Y. Tan, C. Spulbar, R. Birau, and J. Alfaro, "An approach for supply chain management contract selection in the oil and gas industry: Combination of uncertainty and multi-criteria decision-making methods," Mathematics, vol. 10, no. 18, p. 3230, 2022.
[118] H. K. Sarvestani, A. Zadeh, M. Seyfi, and M. Rasti-Barzoki, "Integrated order acceptance and supply chain scheduling problem with supplier selection and due date assignment," Applied Soft Computing, vol. 75, pp. 72-83, 2019.
[119] M. Fathollah and M. Najafi, "Development of financial management models for supply chains and chain financing," Research in Industrial Engineering in Production Systems, vol. 4, no. 9, pp. 257-269, 2016 [In Persian].
[120] J. Rezaei, T. Nispeling, J. Sarkis, and L. Tavasszy, "A supplier selection life cycle approach integrating traditional and environmental criteria using the best worst method," Journal of Cleaner Production, vol. 135, pp. 577-588, 2016.
[121] R. K. Mavi, M. Goh, and N. K. Mavi, "Supplier selection with Shannon entropy and fuzzy TOPSIS in the context of supply chain risk management," Procedia-Social and Behavioral Sciences, vol. 235, pp. 216-225, 2016.
[122] M. M. Hasan, D. Jiang, A. S. Ullah, and M. Noor-E-Alam, "Resilient supplier selection in logistics 4.0 with heterogeneous information," Expert Systems with Applications, vol. 139, p. 112799, 2020.
[123] H. Taherdoost and A. Brard, "Analyzing the process of supplier selection criteria and methods," Procedia Manufacturing, vol. 32, pp. 1024-1034, 2019.
[124] N. Goker, "A novel integrated intuitionistic fuzzy decision aid for agile outsourcing provider selection: A COVID-19 pandemic-based scenario analysis," Soft Computing, vol. 25, no. 21, pp. 13723-13740, 2021.
[125] G. Polat, E. Eray, and B. N. Bingol, "An integrated fuzzy MCGDM approach for supplier selection problem," Journal of Civil Engineering and Management, vol. 23, no. 7, pp. 926-942, 2017.
[126] R. Ismailpour, A. Azar, and M. Malekzadeh, "A hybrid model for selecting green business partners and green supply chain management," Second International Conference on Industrial Management, Babolsar, 2017 [In Persian].
[127] S. Hajiyekhchali, M. Parchami Jalal, and M. K. Asadi, "Supplier selection in green supply chains for oil and gas industry projects using a combination of fuzzy multicriteria decision-making methods," Environmental Risk Management, vol. 4, no. 3, pp. 231-246, 2017 [In Persian].
[128] D. Kannan, "Role of multiple stakeholders and the critical success factor theory for the sustainable supplier selection process," International Journal of Production Economics, vol. 195, pp. 391-418, 2018.
[129] I. M. dos Santos, L. R. Peixoto Roselli, A. L. G. da Silva, and L. H. Alencar, "A supplier selection model for a wholesaler and retailer company based on FITradeoff multicriteria method," Mathematical Problems in Engineering, vol. 2020, no. 1, p. 8796282, 2020.
[130] C. N. Kristy and T. Y. Zagloel, "An integrated analytical hierarchy process and Monte Carlo method approach for supplier selection in construction's supply chain," Proceedings of the 3rd Asia Pacific Conference on Research in Industrial and Systems Engineering, 2020, pp. 300-304.
[131] D. A. Wood, "Supplier selection for development of petroleum industry facilities, applying multi-criteria decision making techniques including fuzzy and intuitionistic fuzzy TOPSIS with flexible entropy weighting," Journal of Natural Gas Science and Engineering, vol. 28, pp. 594-612, 2016.
[132] A. Fallahpour, S. Nayeri, M. Sheikhalishahi, K. Y. Wong, G. Tian, and A. M. Fathollahi-Fard, "A hyper-hybrid fuzzy decision-making framework for the sustainable-resilient supplier selection problem: A case study of Malaysian palm oil industry," Environmental Science and Pollution Research, 2021, pp. 1-21.
[133] S. A. Hoseini, S. H. Zolfani, and P. Skackauskas, "A combined interval type-2 fuzzy MCDM framework for the resilient supplier selection problem," Mathematics, 2022.
[134] R. R. Menon and V. Ravi, "Using AHP-TOPSIS methodologies in the selection of sustainable suppliers in an electronics supply chain," Cleaner Materials, vol. 5, p. 100130, 2022.
[135] A. Fallahpour, K. Y. Wong, S. Rajoo, and A. M. Mardani, "An integrated fuzzy carbon management-based model for suppliers’ performance evaluation and selection in green supply chain management," International Journal of Fuzzy Systems, vol. 22, pp. 712-723, 2020.
[136] M. Rafieizadeh and M. Zanjirani, "Supplier efficiency evaluation using grey data envelopment analysis with decision-maker preferences," Strategic Management in Industrial Systems, vol. 17, no. 59, pp. 60-75, 2022 [In Persian].
[137] S. H. Zegardi and S. A. Shahidi, "Analysis of the meat supply chain considering carbon emission costs under revenue sharing and cost contracts," Industrial Management, vol. 14, no. 4, pp. 618-637, 2022 [In Persian].
[138] A. Arshadi Khamseh, "A time-dependent sustainable–flexible supplier selection considering uncertainty and TODIM method in Iranian dairy industries," Global Journal of Flexible Systems Management, vol. 22, pp. 113-126, 2021.
[139] S. M. Ahmed and C. L. Karmaker, "Supply chain contract selection using Delphi-based AHP: A case study in the Bangladeshi super shop," Journal of Supply Chain Management Systems, vol. 8, no. 3, p. 37, 2019.
[140] L. Lapide, "Optimizing decision-making under uncertainty," Journal of Business Forecasting, vol. 41, no. 1, 2022.
