مدل‌سازی تفسیری ساختاری اختلال‌های زنجیره‌ی تأمین پوشاک عملیاتی یک سازمان دفاعی

نوع مقاله : ترویجی

نویسندگان

1 دانشجوی دکتری دانشگاه جامع امام حسین (ع)، تهران، ایران

2 استادیار دانشگاه جامع امام حسین (ع)، تهران، ایران

3 دکتری دانشگاه جامع امام حسین (ع)، تهران، ایران

4 کارشناس ارشد و مدیر عامل شرکت پوشاک ساتر

چکیده

هدف این مقاله، شناسایی و تحلیل اختلالات زنجیره‌ی تأمین پوشاک عملیاتی یک سازمان دفاعی از طریق مدل‌سازی تفسیری ساختاری است. در این پژوهش، ابتدا با کنکاش در پیشینه‌ی تحقیق، اختلالات مرتبط با زنجیره‌ی تأمین شمارش شد. سپس با انجام تحقیق میدانی و نظرخواهی از خبرگان، اختلالات متناسب با زنجیره‌ی تأمین پوشاک عملیاتی یک سازمان دفاعی، شناسایی شد. در ادامه، با مدل‌سازی تفسیری ساختاری (ISM) میزان وابستگی و محرک‌بودن اختلال‌ها و روابط درونی آن‌ها طی هفت مرحله، به دست آمد. با انجام تحلیلMICMAC، اختلال‌های مرتبط به چهار دسته‌ی خودمختار، وابسته، پیوندی و نفوذ دسته‌بندی شدند. براساس نتایج این پژوهش، اختلال «جنگ و حملات تروریستی» و «شیوع بیماری کرونا» در ناحیه‌ی چهارم، بیشترین نفوذ را داشته و درواقع باعث تحریک مابقی اختلال‌ها می‌شود. شش مورد از اختلال‌ها در ناحیه‌ی اول یعنی خودمختار قرار گرفت و اختلال «تأخیر در تحویل» وابسته‌ترین اختلال ممکن به ‌شمار می‌آید که در ناحیه‌ی دوم قرار گرفته بود.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Interpretive Structural Modelling of Operational Clothing Supply Chain Disruptions in a Defense Organization

نویسندگان [English]

  • hamed barzegar 1
  • Hossein-ali Hassan-pour 2
  • shahram aliyari 2
  • hossein ghaffari touran 3
  • jafar Hassan Nejad 4
1 PhD student of Imam Hossein University
2 Assistant Professor of Imam Hussein University (AS)
3 PhD in Imam Hossein University
4 CEO of Satter Clothing Company
چکیده [English]

The purpose of this paper is to identify and analyze supply chain operational disruptions of a defense organization through interpretive structural modelling. In the first step, by reviewing the literature, supply chain-related disruptions were counted. Then, by conducting field research and consulting experts, disruptions appropriate to the operational clothing supply chain of a defense organization were identified. Then, by using interpretive structural modelling (ISM), the degree of dependence and stimulus of disruptions and their internal relationships were obtained in seven stages. Disruptions related to MICMAC analysis were classified into four categories: autonomic, dependent, connective, and stimulus. According to the results of this study, the disruptions of "war and terrorist attacks" and " Coronavirus outbreak " in the fourth region, have the most influence and actually stimulate the rest of the disruptions. Six of the disruptions were located in the first region, the autonomous region, and "delayed delivery" disruptions was the most dependent possible disruption in the second region.

کلیدواژه‌ها [English]

  • Clothing Supply Chain
  • Interpretive Structural Modeling
  • Disruptions

مراجع

  • Ghorbanpoor A, Pooya A, Nazemi S, Najiazimi The Design Structural Model of Green Supply Chain Management Practices to Using Fuzzy Interpretive Structural Modeling Approach. jor. 2017; 13 (4) :1-20 (in persian)##
  • Jafarnejad A, Mohseni Proposing a Framework to Improve Supply Chain Resilience Performanc.JMSC 2015 .48(17): pp. 51-38. (in persian)##
  • Chopra, and M. Sodhi, Supply-chain breakdown. MIT Sloan management review, 2004. 46(1): pp. 53-61.##
  • Wu, , J. Blackhurst, and P. O’grady, Methodology for supply chain disruption analysis. International journal of production research, 2007. 45(7): pp. 1665-1682.##
  • Ross, M., Y. Rong, and L.V. Snyder, Supply disruptions with time-dependent parameters. Computers & Operations Research, 2008. 35(11): pp. 3504-3529.##
  • Hendricks, B. and V.R. Singhal, An empirical analysis of the effect of supply chain disruptions on long‐run stock price performance and equity risk of the firm. Production and Operations management, 2005. 14(1): pp. 35-52.##
  • Kleindorfer, R. and G.H. Saad, Managing disruption risks in supply chains. Production and operations management, 2005. 14(1): pp. 53-68.##
  • Park, , P. Hong, and J.J. Roh, Supply chain lessons from the catastrophic natural disaster in Japan. Business Horizons, 2013. 56(1): p. 75-85.##
  • Jain, , et al., Supply chain resilience: model development and empirical analysis. International Journal of Production Research, 2017. 55(22): pp. 6779-6800.##
  • Hendricks, B. and V.R. Singhal, Association between supply chain glitches and operating performance. Management science, 2005. 51(5): pp. 711-695.##
  • Tomlin, , On the value of mitigation and contingency strategies for managing supply chain disruption risks. Management science, 2006. 52(5): pp. 639-657.##
  • Ivanov, , et al., Disruption-driven supply chain (re)-planning and performance impact assessment with consideration of pro-active and recovery policies. Transportation Research Part E: Logistics and Transportation Review, 2016. 90: pp. 7-24.##
  • Tang, Y., H. Gurnani, and D. Gupta, Managing disruptions in decentralized supply chains with endogenous supply process reliability. Production and Operations Management, 2014. 23(7): pp. 1198-1211.##
  • Khalili, M., F. Jolai, and S.A. Torabi, Integrated production–distribution planning in two-echelon systems: a resilience view. International Journal of Production Research, 2017. 55(4): pp. 1040-1064.##
  • Hosseini, , D. Ivanov, and A. Dolgui, Review of quantitative methods for supply chain resilience analysis. Transportation Research Part E: Logistics and Transportation Review, 2019. 125: pp. 307-285.##
  • Xu, , et al., Disruption risks in supply chain management: a literature review based on bibliometric analysis. International Journal of Production Research, 2020. 58(11): pp. 3508-3526.##
  • Faisal, N., D.K. Banwet, and R. Shankar, Information risks management in supply chains: an assessment and mitigation framework. Journal of Enterprise Information Management, 2007.##
  • Agarwal, , R. Shankar, and M. Tiwari, Modeling agility of supply chain. Industrial marketing management, 2007. 36:(4) pp. 443-457.##
  • Kumar, , R. Shankar, and S.S. Yadav, Flexibility in global supply chain: modeling the enablers. Journal of Modelling in Management, 2008.##
  • Saxena, and N. Seth, Supply chain risk and security management: an interpretive structural modelling approach. International Journal of Logistics Economics and Globalisation, 2012. 4(1-2): pp. 117-132.##
  • Ivanov, and A. Dolgui, A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 2020: pp. 1-14.##
  • Ivanov, , Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic. Annals of Operations Research, 2020: p. 1.##
  • saffari darberazi A, malekinejad P, Ziaeian M, Ajdari Designing a comprehensive model of hospital resilience in the face of COVID-19 disease. jha. 2020; 23 (2) :76-88 (in persian)##
  • Bakhshikhah M, Yosefisabet H, Afshari H, Tayrian Analysis of Interactions Among the Barriers of Reverse Logistics in Iran Khodro Company (IKCO) with ISM Methodology. JMSC. 2013. 39(15), pp. 14-21. (in persian)##
  • Majumdar, , et al., Analysing the vulnerability of green clothing supply chains in South and Southeast Asia using fuzzy analytic hierarchy process. International Journal of Production Research, 2021. 59(3): pp. 752-771.##
  • Carvalho, , et al., Supply chain redesign for resilience using simulation. Computers & Industrial Engineering, 2012. 62(1): pp. 329-341.##
  • Ivanov, , Disruption tails and revival policies: A simulation analysis of supply chain design and production-ordering systems in the recovery and post-disruption periods. Computers & Industrial Engineering, 2019. 127: pp. 558-570.##
  • Ivanov, , Revealing interfaces of supply chain resilience and sustainability: a simulation study. International Journal of Production Research, 20: (10)56. 18. pp. 3507-3523. 20.##
  • Christopher, and H. Lee, Mitigating supply chain risk through improved confidence. International journal of physical distribution & logistics management, 2004.##
  • Olson, L. and D.D. Wu, A review of enterprise risk management in supply chain. Kybernetes, 2010.##
  • Micheli, J., E. Cagno, and M. Zorzini, Supply risk management vs supplier selection to manage the supply risk in the EPC supply chain. Management Research News, 2008.##
  • Tang, and S.N. Musa, Identifying risk issues and research advancements in supply chain risk management. International journal of production economics, 2011. 133(1): pp. 25-34.##
  • Wilson, C., The impact of transportation disruptions on supply chain performance. Transportation Research Part E: Logistics and Transportation Review, 2007. 43(4): pp. 295-320.##
  • Jüttner, U., Supply chain risk management: Understanding the business requirements from a practitioner The international journal of logistics management, 2005.##
  • Jüttner, , H. Peck, and M. Christopher, Supply chain risk management: outlining an agenda for future research. International Journal of Logistics: Research and Applications, 2003. 6(4): pp. 197-210.##
  • Tang, S., Robust strategies for mitigating supply chain disruptions. International Journal of Logistics: Research and Applications, 2006. 9(1): pp. 33-45.##
  • Chopra, and P. Meindl, Supply chain management. Strategy, planning & operation, in Das summa summarum des management. 2007, Springer. pp. 265-275.##
  • Norrman, and U. Jansson, Ericsson's proactive supply chain risk management approach after a serious sub‐supplier accident. International journal of physical distribution & logistics management, 2004.##
  • Warfield, N., Developing interconnection matrices in structural modeling. IEEE Transactions on Systems, Man, and Cybernetics, 1974(1): pp. 81-87.##

فایل ها

سابقه مقاله

  • تاریخ دریافت: 10 آذر 1400
  • تاریخ بازنگری: 04 اسفند 1400
  • تاریخ پذیرش: 05 اردیبهشت 1401

هم رسانی

ارجاع به این مقاله

آمار