News

 Statistics

Number of Journals34
Number of Issues1,306
Number of Articles9,427
Article View9,188,291
PDF Download5,620,733
Mollashahi, H., Fakhrzad, M., Hoseini Nasab, H., Khademi Zare, H. (2024). Inter-Chain Competition Based on Sustainability and Resilience Indicators in the Problem of Supply Chain Network Design. Electronic and Cyber Defense, 26(82), 77-93.
Hossein Mollashahi; Mohammad Bagher Fakhrzad; Hasan Hoseini Nasab; Hasan Khademi Zare. "Inter-Chain Competition Based on Sustainability and Resilience Indicators in the Problem of Supply Chain Network Design". Electronic and Cyber Defense, 26, 82, 2024, 77-93.
Mollashahi, H., Fakhrzad, M., Hoseini Nasab, H., Khademi Zare, H. (2024). 'Inter-Chain Competition Based on Sustainability and Resilience Indicators in the Problem of Supply Chain Network Design', Electronic and Cyber Defense, 26(82), pp. 77-93.
Mollashahi, H., Fakhrzad, M., Hoseini Nasab, H., Khademi Zare, H. Inter-Chain Competition Based on Sustainability and Resilience Indicators in the Problem of Supply Chain Network Design. Electronic and Cyber Defense, 2024; 26(82): 77-93.

Inter-Chain Competition Based on Sustainability and Resilience Indicators in the Problem of Supply Chain Network Design

مدیریت زنجیره تأمین
Volume 26, Issue 82, May 2024, Pages 77-93    PDF (1.87 M)
Document Type: Research/ Original/ Regular Article
Authors
Hossein Mollashahi1; Mohammad Bagher Fakhrzad* 1; Hasan Hoseini Nasab2; Hasan Khademi Zare1
1Department of Industrial Engineering, Faculty of Engineering, Yazd University, Yazd, Iran
2Yazd, Safaeieh, Yazd University, Department Of Industrial Engineering,
Receive Date: 02 January 2024,  Revise Date: 01 February 2024,  Accept Date: 06 February 2024 
Abstract
Nowadays, the issue of supply chain network design has garnered significant attention in supply chain management. Researchers have focused on the competitiveness of markets and the pursuit of greater benefits. Therefore, this article presents a multi-objective mathematical model for the    design of a dynamic and integrated supply chain network, specifically addressing a competitive and sustainable closed-loop supply chain for a perishable commodity. The proposed model        incorporates competition between two supply chains, considering environmental, social, and resilience factors. To solve this competitive model, a two-step approach is introduced. In this two-stage approach, the first stage involves calculating equilibrium values for competitive decisions using game theory. Then, in the second stage, an innovative multi-objective algorithm based on Pareto optimization is employed to solve the network design problem, taking into account the results from the competitive stage and addressing the complexities of the proposed model. Finally, the efficiency of the proposed model and solution approach is evaluated using a numerical example analyzed graphically and statistically. The results and graphs demonstrate that the proposed model performs well and successfully achieves the intended objectives.
 
Keywords
Supply Chain Network; Inter-Chain Competition; Sustainability; Resilience; Perishable Goods; Metaheuristic Optimization Algorithm; Game Theory
References
  • Z. Farahani, S. Rezapour, T. Drezner, and S. Fallah, "Competitive supply chain network design: An overview of classifications, models, solution techniques and applications," Omega, vol. 45, pp. 92-118, 2014.
  • Sharma, S. Luthra, S. Joshi, and A. Kumar, "Developing a framework for enhancing survivability of sustainable supply chains during and post-COVID-19 pandemic," International Journal of Logistics Research and Applications, pp. 1-21, 2020.
  • Singh, S. Singh, Y. Daultani, and M. Chouhan, "Measuring the influence of digital twins on the sustainability of manufacturing supply chain: A mediating role of supply chain resilience and performance," Computers & Industrial Engineering, vol. 186, p. 109711, 2023/12/01/ 2023, doi: https://doi.org/10,1016/j.cie.2023.109711.
  • Sadeghi R and M. Qaisari Hasan Abadi, "Sustainable supply chain resilience for logistics problems: Empirical validation using robust and computational intelligence methods," Journal of Cleaner Production, vol. 437, p. 14/15/01/2024,0267 doi: https://doi.org/10.1016/j.jclepro.2023.140267.
  • Meneghetti and L. Monti, "Greening the food supply chain: an optimisation model for sustainable design of refrigerated automated warehouses," International Journal of Production Research, vol. 53, no. 21, pp. 6567-6587, 2015.
  • Colicchia, A. Creazza, F. Dallari, and M. Melacini, "Eco-efficient supply chain networks: development of a design framework and application to a real case study," Production planning & control, vol. 27, no. 3, pp. 157-168, 2016.
  • Saif and S. Elhedhli, "Cold supply chain design with environmental considerations: A simulation-optimization approach," European Journal of Operational Research, vol. 251, no. 1, pp. 274-287, 2016.
  • Banasik, A. Kanellopoulos, G. Claassen, J. M. Bloemhof-Ruwaard, and J. G. van der Vorst, "Closing loops in agricultural supply chains using multi-objective optimization: A case study of an industrial mushroom supply chain," International Journal of Production Economics, vol. 183, pp. 409-420, 2017.
  • Yavari and H. Zaker, "An integrated two-layer network model for designing a resilient green-closed loop supply chain of perishable products under disruption," Journal of Cleaner Production, vol. 230, pp. 198-218, 2019 ,01/09/2019, doi: https://doi.org/10.1016/j.jclepro.2019.04.130.
  • Yakavenka, I. Mallidis, D. Vlachos, E. Iakovou, and Z. Eleni, "Development of a multi-objective model for the design of sustainable supply chains: The case of perishable food products," Annals of Operations Research, vol. 294, no. 1, pp. 593-621, 2020.
  • Behzadi, M. J. O'Sullivan, T. L. Olsen, F. Scrimgeour, and A. Zhang, "Robust and resilient strategies for managing supply disruptions in an agribusiness supply chain," International Journal of Production Economics, vol. 191, pp. 207-220, 2017.
  • Dutta and H. Shrivastava, "The design and planning of an integrated supply chain for perishable products under uncertainties: A case study in milk industry," Journal of Modelling in Management, 2020.
  • Jouzdani and K. Govindan, "On the sustainable perishable food supply chain network design: A dairy products case to achieve sustainable development goals," Journal of Cleaner Production, vol. 278, p. 123060, 2021.
  • Fang, T.-D. Nguyen, and C. S. Currie, "Joint pricing and inventory decisions for substitutable and perishable products under demand uncertainty," European Journal of Operational Research, vol. 293, no. 2, pp. 594-602, 2021.
  • Tavakkoli Moghaddam, M. Javadi, and S. M. Hadji Molana, "A reverse logistics chain mathematical model for a sustainable production system of perishable goods based on demand optimization," Journal of Industrial Engineering International, vol. 15, no. 4, pp. 709-721, 2019.
  • Alinezhad, I. Mahdavi, M. Hematian, and E. B. Tirkolaee, "A fuzzy multi-objective optimization model for sustainable closed-loop supply chain network design in food industries," Environment, Development and Sustainability, pp. 1-28, 2021.
  • Mousazadeh and S. Pirtaj, "Resilient Distribution Network Design in Sustainable Grain Supply Chain: a Robust-Possibilistic Approach," Iranian Journal Of Supply Chain Management, vol. 24, no. 77, pp. 9-21, 2023. [Online]. Available: https://scmj.ihu.ac.ir/article_207795_3f8eaada8b08b95c2ce2ff9c07ef95ed.pdf.(In Persian)
  • Ghavamifar, A. Makui, and A. A. Taleizadeh, "Designing a resilient competitive supply chain network under disruption risks: A real-world application," Transportation research part E: logistics and transportation review, vol. 115, pp. 87-109, 2018.
  • Ghavamifar, F. Sabouhi, and A. Makui, "An integrated model for designing a distribution network of products under facility and transportation link disruptions," Journal of Industrial and Systems Engineering, vol. 11, no. 1, pp. 113-126, 2018.
  • Cheraghalipour and S. Farsad, "A bi-objective sustainable supplier selection and order allocation considering quantity discounts under disruption risks: A case study in plastic industry," Computers & Industrial Engineering, vol. 118, pp. 237-250, 2018.
  • Sabouhi, M. S. Jabalameli, and A. Jabbarzadeh, "An optimization approach for sustainable and resilient supply chain design with regional considerations," Computers & Industrial Engineering, vol. 159, p. 107510, 2021.
  • Nobari, A. Kheirkhah, and M. Esmaeili, "Considering chain-to-chain competition on environmental and social concerns in a supply chain network design problem," International Journal of Management Science and Engineering Management, vol. 14, no. 1, pp. 33-46, 2019.
  • A. Taleizadeh, A. Ghavamifar, and A. Khosrojerdi, "Resilient network design of two supply chains under price competition: game theoretic and decomposition algorithm approach," Operational Research, pp. 1-33, 2020.
  • H. Amin and F. Baki, "A facility location model for global closed-loop supply chain network design," Applied Mathematical Modelling, vol. 41, pp. 316-330, 2017/01/01/ 2017, doi: https://doi.org/10.1016/j.apm.2016.08.030.
  • Vahidi, S. A. Torabi, and M. Ramezankhani, "Sustainable supplier selection and order allocation under operational and disruption risks," Journal of Cleaner Production, vol. 174, pp. 1351-1365, 2018.
  • Sazvar, K. Tafakkori, N. Oladzad, and S. Nayeri, "A capacity planning approach for sustainable-resilient supply chain network design under uncertainty: A case study of vaccine supply chain," Computers & Industrial Engineering, vol. 159, p. 107406, 2021.
  • Nayeri, S. Ali Torabi, M. Tavakoli, and Z. Sazvar, "A multi-objective fuzzy robust stochastic model for designing a sustainable-resilient-responsive supply chain network," Journal of Cleaner Production, vol. 311, p. 127691, 2021/08/15/ 2021, doi: https://doi.org/10.1016/j.jclepro.2021.127691.
  • Z. Mehrjerdi and M. Shafiee, "A resilient and sustainable closed-loop supply chain using multiple sourcing and information sharing strategies," Journal of Cleaner Production, vol. 289, p. 125141, 2021/03/20/ 2021, doi: https://doi.org/10.1016/j.jclepro.2020.125141.
  • M. Vali-Siar and E. Roghanian, "Sustainable, resilient and responsive mixed supply chain network design under hybrid uncertainty with considering COVID-19 pandemic disruption," Sustainable Production and Consumption, vol. 30, pp. 278-300, 2022.
  • Salehi, Y. Zare Mehrjerdi, A. Sadegheih, and H. Hoseini Nasab, "A Mathematical Model for Designing a Resilient and Sustainable Biomass Supply Chain Under Uncertainty and Disruption," Iranian Journal Of Supply Chain Management, vol. 24, no. 76, pp. 1-21, 2023. [Online]. Available: https://scmj.ihu.ac.ir/article_207491_c459d75ea7c0038a79dd307707b6609e.pdf. (In Persian)
  • Seuring, "A review of modeling approaches for sustainable supply chain management," Decision support systems, vol. 54, no. 4, pp. 15, 2013,13-1520.
  • Zhu and Y. He, "Green product design in supply chains under competition," European Journal of Operational Research, vol. 258, no. 1, pp. 165-180, 2017.
  • Dolgoff, & Feldstein, D., Understanding social welfare, Harper and Row. New York, 1980.
  • Li and Y. Li, "Chain-to-chain competition on product sustainability," Journal of Cleaner Production, vol. 112, pp. 2058-2065, 2016.
  • Yan and Z. Pei, "Retail services and firm profit in a dual-channel market," Journal of retailing and consumer services, vol. 16, no. 4, pp. 306-314, 2009.
  • C. Giri, B. Roy, and T. Maiti, "Multi-manufacturer pricing and quality management strategies in the presence of brand differentiation and return policy," Computers & Industrial Engineering, vol. 105, pp. 146-157, 2017.
  • Ghosh and J. Shah, "A comparative analysis of greening policies across supply chain structures," International Journal of Production Economics, vol. 135, no. 2, pp. 568-583, 2012.
  • Sha and H. Hung Lin, "A particle swarm optimization for multi-objective flowshop scheduling," The International Journal of Advanced Manufacturing Technology, vol. 45, pp. 749-758, 2009.
  • Mavrotas, "Effective implementation of the ε-constraint method in multi-objective mathematical programming problems," Applied mathematics and computation, vol. 213, no. 2, pp. 455-465, 2009.
Statistics
Article View: 632
PDF Download: 587