تعیین تاثیرات ساختاری متغیرهای تاب آوری زنجیره تأمین در صنعت قطعه سازی خودرو
محورهای موضوعی : مدیریت عملیات
محمدرضا فلاح
1
,
حبیب اله جوانمرد
2
*
,
رضا رادفر
3
1 - گروه مدیریت صنعتی، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران
2 - گروه مدیریت صنعتی، واحد اراک، دانشگاه آزاد اسلامی، اراک، ایران
3 - گروه مدیریت صنعتی، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران
کلید واژه: تاب آوری , زنجیره تامین, قطعه سازی, تاثیرات ساختاری,
چکیده مقاله :
برای تابآوری زنجیرههای تأمین لازم است تاثیرات ساختاری متغیرهای موثر تعیین شوند تا براساس نوع تاثیرات آنها اقدامات لازم انجام شوند. هدف این تحقیق تعیین تاثیرات ساختاری متغیرهای تابآوری زنجیره تأمین در صنعت قطعهسازی خودرو در ایران است. روش انجام پژوهش توصیفی پیمایشی با رويكرد مدلسازي و با توجه به شناسایی روابط بین متغیرها از نوع همبستگی درگروه تحقیقات آمیختهاکتشافی است. جامعه مورد مطالعه خبرگان هستند که با تحلیل دلفی فازی از نظرات آنها متغیرهای تابآوری زنجیره تأمین در صنعت قطعهسازی خودرو تعیین شده سپس اثرات متغیرها با روش مدلسازی ساختاری در یک مدل طراحی شده است. با توجه به مدل ارائه شده مشخص شد که برای تابآوری زنجیره تامین قطعهسازی، مدیریت هزینه استراتژیک، قدرت نفوذ بسیار بالایی دارد و شرط اساسی و بنیادین تابآوری است. مدیریت ریسک، همکاری در زنجیره و افزونگی قدرت نفوذ بالایی داشته و از مدیریت هزینه استراتژیک تاثیرپذیری دارند. متغیر افزونگی، قدرت نفوذ بالایی دارد و بر شش متغیر تاثیرگذار است. متغیر انعطافپذیری، نوآوری و کیفیت، قدرت نفوذ و میزان وابستگی مشابهی دارند و چون تحت تاثیر افزونگی قرار دارند بصورت هم عرض قراردارند. متغیرهای چابکی، تحویل موثر و کارا نیز از وابستگی بالا اما نفوذ اندکی برخوردار هستند. این متغیرها بر وفاداری مشتری اثرگذار هستند و به سایر متغیرهای قبلی وابسته هستند، وفاداری مشتری یک متغیرهای کاملا وابسته محسوب می‌شود و نشان میدهد که شرط نهایی تابآوری حفظ رضایت و وفاداری مشتریان است.
Determining the structural effects resilience variables is necessary for implementing the suitable decision in supply chain based on the type of variables impacts. The purpose of this study is to determine the structural effects of supply chain resilience in auto-parts manufacturing in Iran. The research method is descriptive - survey with the approach of modeling and according to the identification of relationships between variables. Samples are experts who have been determined supply chain resiliency variables by fuzzy Delphi analysis. Then the effects of variables designed by Interpretive structural modeling (ISM). According to the presented model, it was found that, strategic cost management has very high influence power and is a fundamental variable for resilience in supply chain. Risk management, partnership and redundancy have a high influence in resilience. The redundancy variable has a high penetration power and affects six variables. The variable of flexibility, innovation and quality, have the same influence power and degree of interdependence, and as they are depended to redundancy effect, they are in same stage. The variables of agility, productive delivery is also highly dependent and have little influence, these variables affect customer loyalty and are dependent on other variables. The customer loyalty is considered as a fully dependent variable and that the final variable for resilience that show customer satisfaction and loyalty is final condition for supply chain resilience.
Abdelaziz, F.B. & Chen, Y.T. & Dey, P.K. (2024). Supply chain resilience, organizational wellbeing, and sustainable performance: a comparison between the UK and France. J. Clean. Prod. 444, 141215.
Abdolreza-Sedighpour, A. 7 Zandieh, M. & Alem-Tabriz, A. & Dori, B. (2018). Resilient Supply Chain Model in Iran Pharmaceutical Industries, 16(51), 55-106. (In Persian)
Ahi, P. 7 Searcy, C. (2013). A comparative literature analysis of definitions for green and sustainable supply chain management. J. Clean. Prod. 52, 329–341. https://doi.org/ 10.1016/j.jclepro.2013.02.018.
Akram, M.U. & Islam, N. & Chauhan, C. & Yaqub, M.Z. (2024). Resilience and agility in sustainable supply chains: a relational and dynamic capabilities view. J. Bus. Res. 183, 114855. https://doi.org/10.1016/j.jbusres.2024.114855.
Ali, A. & Mahfouz, A. & Arisha, A. (2017). Analysing supply chain resilience: integrating the constructs in a concept mapping framework via a systematic literature review. Supply Chain Manag.: An Int. J. 22 (1), 16–39. https://doi.org/10.1108/SCM-06-2016-0197.
Askarian, B. & Poorzarandi, M.E. & Haqiqat-Monfared, J. (2021). Ranking of resilient suppliers in the drug supply chain by combining the techniques of network analysis and Fuzzy Dimetal, Strategic Management in Industrial Systems, 16(58), 1-13. (In Persian).
Askarian, B. & Poorzarandi, M.E. & Haqiqat-Monfared, J. (2021). Ranking of resilient suppliers in the drug supply chain by combining the techniques of network analysis and Fuzzy Dimetal, Strategic Management in Industrial Systems, 16(58), 1-13. doi.org/ 10.24200/sci.2021.55787.4405. (In Persian)
Bashiri-Li, K. & Lim, M. & Akpobi, T. (2025), How to improve supply chain sustainable performance by resilience practices through dynamic capability view: Evidence from Chinese construction, Resources, Conservation & Recycling 212, 107965.
Dong & Zhou (2016). Influence factor analysis of supply chain resilience using ISM. In 13th International Conference on Service Systems and Service Management (ICSSSM) (pp 1-5) IEEE.
Eggert, J. & Hartmann, J. (2023). Sustainable supply chain management–a key to resilience in the global pandemic. Supply Chain Manag.: An Int. J. 28 (3), 486–507. https:// doi.org/10.1108/SCM-10-2021-0463.
Han, Y. & Chong, W.K. & Li, D. (2020). A systematic literature review of the capabilities and performance metrics of supply chain resilience. Int. J. Prod. Res. 58 (15), 4541–4566.
Holgado, M. & Niess, A. (2023). Resilience in global supply chains: analysis of responses, recovery actions and strategic changes triggered by major disruptions. Supply Chain Manag.: An Int. J. https://doi.org/10.1108/SCM-01-2023-0020.
https://doi.org/10.1016/j.jclepro.2024.141215.
Huang, K. & Wang, K. & Lee, P.K. & Yeung, A.C. (2023). The impact of industry 4.0 on supply chain capability and supply chain resilience: a resource-based view. Int. J. Prod. Econ. 262, 108913. https://doi.org/10.1016/j.ijpe.2023.108913
Karimi-Zarchi, M. & Mabodi, H. & Fathi, M.R. & Khosravi, A. (2020). Providing resilient defense supply chain model using structural-interpretative modeling. Journal of Improvement Management, 14(2), 67-91.
Kong, L. & Koh, L. & Sena, V. & Robinsson, D. & Wood, M. (2025). Towards a resilience evaluation framework for hydrogen supply chains: A systematic literature review and future research agenda. International Journal of Hydrogen Energy. 99 (2025) 589–606.
Li, Y. & Christopher, W. & dean, C. (2018). Network characteristics and supply chain resilience under conditions of risk propagation. International journal of production economics, 38-55.
Lin, J. & Fan, Y. (2024). Seeking sustainable performance through organizational resilience: examining the role of supply chain integration and digital technology usage. Technol. Forecast. Soc. Change 198, 123026. https://doi.org/10.1016/j.techfore.2023.123026.
Martin, J. & Hofmann, E. (2019). "Towards a framework for supply chain finance for the supply side", Journal of Purchasing and Supply Management, 25(2), 157-171.
Mirhabibi, D. & Farsijani, H. & Modiri, M. & Khalili-Damghani, K. (2021). Explaining the role of integrated supply chain to achieve world-class production in home electronics industries, Industrial Management Quarterly, 10(1), 102-121. (In Persian)
Mohammed, A. (2020). Towards resilient supply chain management: A quantitative study. Resources, Conservation and Recycling, 155, 104641.
Porvaziri, Z. & Modiri, M. & Farsijani, H. & Heshamzadeh-khorasgani, G. (2022). Design of sustainable production model in auto industry in terms of sanctions and global class approach. Journal of development, (48), 104-87. (In Persian)
Queiroz, M.M. & Fosso-Wamba, S. & Raut, R.D. & Pappas, I.O. (2024). Does resilience matter for supply chain performance in disruptive crises with scarce resources? Br. J. Manag. 35 (2), 974–991. https://doi.org/10.1111/1467-8551.12748.
Rahimi-sheykh, H. & Sharifi, M. & Sheharyari, M.R. (2017). Designing a Resiliense Supply Chain Model (Case Study: The Welfare Organization of Iran), J of Industrial Management Perspective, 27, 127-150. (In Persian)
Reyers, Belinda, Moore, Michele-Lee, Haider, L. & Jamila, Schlüter, Maja, (2022). The contributions of resilience to reshaping sustainable development. Nat. Sustain. 5 (8), 657–664. https://doi.org/10.1038/s41893-022-00889-6.
Seifbarghy, M. (2022). Integration of supplier selection and resilient closed loop supply chain design and ranking based on Fuzzy-MOORA-Reference Point Method. Industrial Management, 20(65).
Shashi-Centobelli, P. & Cerchione, R. & Jhamb, D. (2024), What makes people hesitant from circularity: An analysis of risk, marketing mix, cost and inconvenience, J. Consum. Behav. 23 (1) 43–60, https://doi.org/10.1002/cb.2143.
Shashi-Centobelli, P. & Cerchione, R. & Ertz, M. (2020). Managing supply chain resilience to pursue business and environmental strategies. Bus. Strat. Environ. 29 (3), 1215–1246.
Shen, Z.M. & Sun, Y. (2023). Strengthening supply chain resilience during COVID-19: a case study of JD.com. J. Oper. Manag. 69 (3), 359–383. https://doi.org/10.1002/ joom.1161.
Silva, M.E. & Pereira, M.M. & Hendry, L.C. (2023). Embracing change in tandem: resilience and sustainability together transforming supply chains. Int. J. Oper. Prod. Manag. 43 (1), 166–196. https://doi.org/10.1108/IJOPM-09-2022-0625.
Singh, J. & Hamid, A.B.A. & Garza-Reyes, J.A. (2023). Supply chain resilience strategies and their impact on sustainability: an investigation from the automobile sector. Supply Chain Manag.: An Int. J. 28(4), 787–802. https://doi.org/10.1108/SCM-06-2022- 0225.
Wieland, A. & Stevenson, M. & Melnyk, S.A. & Davoudi, S. & Schultz, L. (2023). Thinking differently about supply chain resilience: what we can learn from social-ecological systems thinking. Int. J. Oper. Prod. Manag. 43 (1), 1–21. https://doi.org/10.1108/ IJOPM-10-2022-0645.
Yuan, S. & Pan, X. (2023). The effects of digital technology application and supply chain management on corporate circular economy: a dynamic capability view. J. Environ. Manage. 341, 118082. https://doi.org/10.1016/j.jenvman.2023.118082.
Zaijing, G. & Dapeng, L. (2019). The resilience evaluation model of electricity system, International Conference on Industrial Technology and Management (ICITM), 26, 417-433.
Zhao, N. & Hong, J. & Lau, K.H. (2023). Impact of supply chain digitalization on supply chain resilience and performance: a multi-mediation model. Int. J. Prod. Econ. 259, 108817. https://doi.org/10.1016/j.ijpe.2023.108817.