پیوندهای مفید
آمار
| تعداد نشریات | 21 |
| تعداد شماره‌ها | 610 |
| تعداد مقالات | 9,027 |
| تعداد مشاهده مقاله | 67,082,820 |
| تعداد دریافت فایل اصل مقاله | 7,656,334 |
Presenting a multi-objective linear programming mathematical model of a resilient and sustainable supply chain with an emphasis on environmental factors with a robust optimization approach | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 5، دوره 15، شماره 3، خرداد 2024، صفحه 45-63 اصل مقاله (962.79 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.28697.3968 | ||
| نویسندگان | ||
| Peyman Taebi1؛ Mahmoud Modiri* 2، 3؛ Seyyed Mohammad Ali khatami Firouzabadi4؛ Ali Mohtashami5 | ||
| 1Department of Industrial Management, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran | ||
| 2Department of Industrial Management, Faculty of Management, South Tehran Branch, Islamic Azad University, Tehran, Iran | ||
| 3Visitor of Science and Research Branch, Islamic Azad University, Tehran, Iran | ||
| 4Department of Industrial Management, Faculty of Management, University of Allameh Tabatabai, Tehran, Iran | ||
| 5Department of Industrial Management, Faculty of Management, Accounting and Humanities, Qazvin Branch, Islamic Azad University, Qazvin, Iran | ||
| تاریخ دریافت: 23 مهر 1401، تاریخ بازنگری: 22 دی 1401، تاریخ پذیرش: 03 بهمن 1401 | ||
| چکیده | ||
| Nowadays, the lack of natural resources and reserves of raw materials, besides the increased production costs and the problems with burying and destroying industrial waste, have attracted attention to product recovery and waste recycling in the framework of a closed-loop and sustainable supply chain, also able to create a competitive advantage. On the other hand, researches indicate that taking resilience approaches into account in supply chain design may protect buyers against disruptions such as natural, human, or technological disasters. The present paper presents a multi-objective mathematical model of a single-period, multi-product, and multi-level closed-loop supply chain, considering the dimensions of resilience and sustainability under conditions of uncertainty. Hence, a deterministic mixed integer linear programming model is initially presented; subsequently, to eliminate the uncertainty of the demand parameters and costs, its stochastic counterpart was presented based on Pishvaee's robust possibilistic programming (RPP) model. In order to solve the model, the Augmented Epsilon Constraint method was employed in the GAMS software environment. Ultimately, the model was solved and evaluated by a numerical example. | ||
| کلیدواژه‌ها | ||
| supply chain؛ resilience؛ sustainability؛ uncertainty؛ robust Optimization | ||
| مراجع | ||
|
[1] P. Ahi and C. Searcy, A comparative literature analysis of definitions for green and sustainable supply chain management, J. Cleaner Product. 52 (2013), 329-341. [2] R. Aldrighetti, D. Battini, D. Ivanov and I. Zennaro, Costs of resilience and disruptions in supply chain network design models: A review and future research directions, Int. J. Product. Econ. 235 (2021). [3] A. Ali, A. Mahfouz and A. Arisha, Analysing supply chain resilience: Integrating the constructs in a concept mapping framework via a systematic literature review, Supply Chain Manag. 22 (2017), no. 1, 16—39. [4] H. Ayoughi, H. Dehghani Podeh, A. Raad and D. Talebi, Providing an integrated multi-objective model for closed-loop supply chain under fuzzy conditions with upgrade approach, Int. J. Nonlinear Anal. Appl. 11 (2020), no. 1, 107–136. [5] S. Azevedo, K. Govindan, H. Carvalho and V. Cruz-Machado, Ecosilient Index to assess the greenness and resilience of the upstream automotive supply chain, J. Cleaner Product. 56 (2012), 131–146. [6] H. Carvalho, S. Duarte and V. Cruz-Machado, Lean, agile, resilient and green: divergencies and synergies, Int. J. Lean Six Sigma 2 (2011), no. 2, 151–179. [7] M. Dehghani Sadrabadi, A. Jafari-Nodoushan and A. Bozorgi Amiri, Resilient supply chain under risks: A network and structural perspective, Iran. J. Manag. Stud. 14 (2021), no. 4, 735–760. [8] J. Elbaz and S. Iddik, Green supply chain management and organizational culture: A bibliometric analysis based on Scopus data (2001-2020), Int. J. Organ. Anal. 30 (2022), no. 1, 156–179. [9] S. Elluru, H. Gupta, H. Kaur and S. Singh, Proactive and reactive models for disaster resilient supply chain, Annal. Operat. Res. 283 (2019), 199–224. [10] B. Fahimnia, J. Sarkis and S. Talluri, Design and management of sustainable and resilient supply chains, IEEE Trans. Engi. Manag. 66 (2019), no. 1, 2–7. [11] J. Fiksel, Sustainability and resilience: toward a systems approach, Sustainability: Sci. Practice Policy 2 (2006), no. 2, 14-21. [12] S. Hosseini-Motlagh, M. Ghatreh Samani and V. Shahbazbegian, Innovative strategy to design a mixed resilient-sustainable electricity supply chain network under uncertainty, Appl. Energy 280 (2020). [13] R. Katiyar, P. Meena, M. Barua, R. Tibrewala and G. Kumar, Impact of sustainability and manufacturing practices on supply chain performance: Findings from an emerging economy, Int. J. Product. Econ. 197 (2018), 303–316. [14] H. Kaur and S. Singh, Sustainable procurement and logistics for disaster resilient supply chain, Annal. Oper. Res. 283 (2016), 309–354. [15] M. Khodakarami, A. Shabani, S. Farzipoor and M. Azadi, Developing distinctive two-stage data envelopment analysis models: An application in evaluating the sustainability of supply chain management, Measurement 70 (2015), 62–74. [16] W. Klibi, A. Martel and A. Guitouni, The design of robust value-creating supply chain networks: a critical review, Eur. J. Oper. Res. 203 (2010), no. 2, 283–293. [17] H. Kwon and J. Lee, Exploring the differential impact of environmental sustainability, operational efficiency, and corporate reputation on market valuation in high-tech-oriented firms, Int. J. Product. Econ. 211 (2019), 1–14. [18] R. Lotfi, B. Kargar, S. Hoseini, S. Nazari, S. Safavi and G.Weber, Resilience and sustainable supply chain network design by considering renewable energy, Int. J. Energy Res. 45 (2021), no. 12, 17749–17766. [19] S. Mari, Y. Lee and M. Memon, Sustainable and resilient supply chain network design under disruption risks, Sustainability 6 (2014), no. 10, 6666–6686. [20] S. Mari, Y. Lee and M. Memon, Sustainable and resilient garment supply chain network design with fuzzy multiobjectives under uncertainty, Sustainability 8 (2016), no. 10, 1038–1060. [21] G. Mavrotas, Effective implementation of the E-constraint method in multi-objective mathematical programming problems, Appl. Math. Comput. 213 (2009), no. 2, 455–465. [22] P. Mousavi Ahranjani, S. Ghaderi, A. Azadeh and R. Babazadeh, Robust design of a sustainable and resilient bioethanol supply chain under operational and disruption risks, Clean Technol. Envir. Policy 22 (2020), 119–151. [23] S. Nayeri, A. Torabi, M. Tavakoli and Z. Sazvar, A multi-objective fuzzy robust stochastic model for designing a sustainable-resilient-responsive supply chain network, J. Cleaner Product. 311 (2021). [24] M. Negri, E. Cagno, C. Colicchia and J. Sarkis, Integrating sustainability and resilience in the supply chain: A systematic literature review and a research agenda, Bus. Strat. Envir. 30 (2021), 2858–2886. [25] T. Pettit, K. Croxton and J. Fiksel, The evolution of resilience in supply chain management: A retrospective on ensuring supply chain resilience, J. Bus. Logistics 40 (2019), no. 1, 56–65. [26] L. Pinto, Green supply chain practices and company performance in Portuguese manufacturing sector, Bus. Strat. Environ. 29 (2020), no. 5, 1832–1849. [27] M. Pishvaee, J. Razmi and S. Torabi, Robust possibilistic programming for socially responsible supply chain network design: A new approach, Fuzzy sets and systems, 206 (2012), 1–20. [28] R. Rajesh, Social and environmental risk management in resilient supply chains: A periodical study by the Grey-Verhulst model, Int. J. Product. Res. 57 (2019), no. 11, 3748–3765. [29] R.D. Raut, S.S. Kamble, M.G. Kharat and S.J. Kamble, Decision support system framework for performance-based evaluation and ranking system of carry and forward agents, Strat. Outsourcing: Int. J. 8 (2019), no. 1, 23–52. [30] J.S. Rha, Trends of research on supply chain resilience: A systematic review using network analysis, Sustainability 12 (2020), no. 11, 4343. [31] H. Rosic, G. Bauer and W. Jammernegg, A framework for economic and environmental sustainability and resilience of supply chain, G. Reiner (eds), Rapid modelling for increasing competitiveness, Springer, London, 2009. [32] Z. Sadeghi, O. Boyer, S. Sharifzadeh and N. Saeidi, A robust mathematical model for sustainable and resilient supply chain network design: Preparing a supply chain to deal with disruptions, Complexity 2021 (2021), 1–17. [33] A. Samadi, N. Mehranfar, A. Fathollahi Fard and M. Hajiaghaei-Keshteli, Heuristic-based metaheuristics to address a sustainable supply chain network design problem, J. Ind. Product. Eng. 35 (2018), no. 2, 102–117. [34] P. Shrivastava, Ecocentric management for a risk society, Acad. Manag. Rev. 20 (1995), no. 1, 118–137. [35] P. Stonebraker, J. Goldhar and G. Nassos, Weak links in the supply chain: Measuring fragility and sustainability, J. Manufact. Technol. Manag. 20 (2009), no. 2, 161–177. [36] B. Zahiri, J. Zhuang and M. Mohammadi, Toward an Integrated sustainable-resilient supply chain: A pharmaceutical case study, Transport. Research Part E 103 (2017), 109–142. [37] M. Zamanian, E. Sadegh, Z. Amini Sabegh and R. Ehtesham Rasi, A multi-objective optimization model for the resilience and sustainable supply chain: A case study, Int. J. Supply Operat. Manag. 7 (2020), no. 1, 51–75. [38] Y. Zare Mehrjerdi and M. Shafiee, A resilient and sustainable closed-loop supply chain using multiple sourcing and information sharing strategies, J. Cleaner Product. 289 (2021). [39] A. Zavala-Alcivar, M. Verdecho and J. Alfaro-Saiz, A conceptual framework to manage resilience and increase sustainability in the supply chain, Sustainability 12 (2020), no. 16, 6300. [40] Q. Zhu, J. Sarkis and K. Lai, Green supply chain management implications for closing the loop, Transport. Res. Part E 44 (2008), no. 1, 1–18. | ||
|
آمار تعداد مشاهده مقاله: 14,538 تعداد دریافت فایل اصل مقاله: 381 |
||