ارائه مدل مدیریت ریسکهای مؤثر بر زنجیره تأمین لارج (مورد مطالعه: صنعت مواد غذایی)
الموضوعات :
محمد قرقچیان
1
,
مژگان صفا
2
,
امید علی عادلی
3
,
محمدرضا پورفخاران
4
1 - دانشجوی گروه مدیریت صنعتی، واحد قم، دانشگاه آزاد اسلامی، قم، ایران
2 - گروه حسابداری، واحد قم، دانشگاه آزاد اسلامی، قم، ایران
3 - دانشیار گروه اقتصاد، دانشکده مدیریت و اقتصاد، دانشگاه قم، قم، ایران
4 - گروه حسابداری، واحد قم، دانشگاه آزاد اسلامی، قم، ایران
الکلمات المفتاحية: ریسک, زنجیره تأمین, ریسک زنجیره تأمین, زنجیره تأمین لارج,
ملخص المقالة :
زنجیره تأمین مواد غذایی به‌دلیل اهمیت و اثرگذاری آن روی سلامت جامعه، باید به ابعاد هزینه و کاهش ضایعات، چابکی و سرعت، تاب‌آوری نسبت به تهدیدات محیطی و نهایتاً ملاحظات محیط‌زیستی و بهداشتی، توجه لازم را داشته باشد. تمامی این ملاحظات در زنجیره تأمین لارج به عنوان یک رویکرد تلفیقی در نظر گرفته شده‌است. این نوع از زنجیره تأمین به دلیل تنوع و پیچیدگی خاص خود با ریسکهای بیشتری مواجه است. هدف تحقیق حاضر، شناسایی اثرگذارترین ریسکهای زنجیره تأمین لارج در حوزه مواد غذایی است. تحقیق حاضر از نظر جهت‌گیری، کاربردی و از حیث روش‌شناسی، دارای ماهیت کمی است. برای تحلیل داده‌ها از دو روش دلفی فازی و دیمتل فازی استفاده شد. جامعه نظری پژوهش، خبرگان متخصص در حوزه زنجیره تأمین مواد غذایی و زنجیره تأمین لارج بودند و نمونه گیری به صورت قضاوتی انجام شد. حجم نمونه برابر با 10 نفر بود که برای روش‌های خبره محور عدد مطلوبی است. در ابتدا 20 ریسک از طریق مرور پیشینه و مصاحبه با خبرگان به دست آمد. از آنجا که تعداد ریسک‌ها زیاد بود، این ریسک‌ها با استفاده از تکنیک دلفی فازی غربال شد و 10 ریسک که دارای عدد دیفازی کمتر از 7/0 بودند، کنار گذاشته شد. 10 ریسک باقیمانده با استفاده از تکنیک دیمتل فازی از منظر اثرگذاری مورد تجزیه و تحلیل قرار گرفت. ریسکهای شیوع بیماری‌های مربوط به دام، مشکلات تأمین مالی، نوسانات نرخ ارز و تغییر استانداردهای بهداشتی و سلامت، بیشترین خالص اثر را داشتند و به عنوان اثرگذارترین ریسک‌ها شناخته شدند.
Aamer, A.M. & Al-Awlaqi, M.A. & Affia, I. & Arumsari, S. & Mandahawi, N. (2021). The internet of things in the food supply chain: adoption challenges. Benchmarking: An International Journal.
Akbarzadeh, Z. & Safaei-Ghadikolaei, A. (2020). Evaluation and Importance-Performance Analysis of LARG Supply Chain Practices in Dairy Industries (The Case: Kalleh Dairy Company). Industrial Management Studies, 18(57), 145-174. doi: 10.22054/jims.2018.29605.1986 . (In Persian)
Arab, A. & Ghasemian-Sahibi, A. (2016). Applying the gray approach to evaluate the barriers to establishing a resilient supply chain in livestock and poultry feed conversion industries. Supply Chain Management, 19(55), 101-118. (In Persian)
Asl, R.S. & Khajeh, M.B. & Pasban, M. & Rostamzadeh, R. (2021). A systematic literature review on supply chain approaches. Journal of Modelling in Management.
Barman, A. & Das, R. & De, P.K. (2021). Impact of COVID-19 in food supply chain: Disruptions and recovery strategy. Current Research in Behavioral Sciences, 2, 100017.
Bayona-Saez, C. & Cruz-Cázares, C. & García-Marco, T. & García, M. S. (2017). Open innovation in the food and beverage industry. Management Decision.
Bigliardi, B. & Filippelli, S. (2022). Open innovation and incorporation between academia and the food industry. In Innovation Strategies in the Food Industry. 17-37. Academic Press.
Bigliardi, B. & Galati, F. (2013). Models of adoption of open innovation within the food industry. Trends in Food Science & Technology, 30(1), 16-26.
Blos, M.F. & Quaddus, M. & Wee, H.M. & Watanabe, K. (2009). Supply chain risk management (SCRM): a case study on the automotive and electronic industries in Brazil. Supply Chain Management: An International Journal.
Cabral, I. & Grilo, A. & Leal, R.P. & Machado, V.C. (2011). Modelling lean, agile, resilient, and green supply chain management. In Proceedings of the ITI 2011, 33rd International Conference on Information Technology Interfaces. 365-370. IEEE.
Carvalho, H. & Azevedo, S.G. & Cruz-Machado, V. (2013). An innovative agile and resilient index for the automotive supply chain. International Journal of Agile Systems and Management, 6(3), 259-283.
Cheung, W. & Chiang, A.H. & Sambamurthy, V. & Setia, P. (2018). Lean vs. agile supply chain: The effect of IT architectures on supply chain capabilities and performance. Pacific Asia journal of the association for information systems, 10(1), 4.
Davis, K.F. & Downs, S. & Gephart, J.A. (2021). Towards food supply chain resilience to environmental shocks. Nature Food, 2(1), 54-65.
Do, Q.N. & Mishra, N. & Wulandhari, N.B.I. & Ramudhin, A. & Sivarajah, U. & Milligan, G. (2021). Supply chain agility responding to unprecedented changes: empirical evidence from the UK food supply chain during COVID-19 crisis. Supply Chain Management: An International Journal.
Frederico, G.F. (2021). Towards a supply chain 4.0 on the post-COVID-19 pandemic: a conceptual and strategic discussion for more resilient supply chains. Rajagiri Management Journal.
Hobbs, J.E. (2021). Food supply chain resilience and the COVID‐19 pandemic: What have we learned? Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 69(2), 189-196.
Hoque, A. & Shikha, F.A. & Hasanat, M.W. & Arif, I. & Hamid, A.B.A. (2020). The effect of Coronavirus (COVID-19) in the tourism industry in China. Asian Journal of Multidisciplinary Studies, 3(1), 52-58.
Izadyar, M. & Toloie-Eshlaghy, A. & Zahra, M. (2021). Application of system dynamics in assessing sustainability performance of LARG supply chain in the automotive industry. Management Research in Iran, 25(1), 1-24. (In Persian)
Jaelani, A.K. & Ayu, I.G. & Rachmi, K. & Karjoko, L. (2020). The impact of corona virus on supply chain of halal tourism management in west Nusa Tenggara. International Journal of Supply Chain Management, 9(5), 823-831.
Jamali, G. & Karimi-Asl, E. (2018). Evaluation of LARG Supply Chain Competitive Strategies based on Gap Analysis in Cement Industries. Research in Production and Operations Management, 9(1), 29-54. doi: 10.22108/jpom.2018.92479.0. (In Persian)
Karimi, T. & bandesi, S. (2021). Service Supply Chain Risk Assessment Applying Rough Set Theory Approach: Case of Payment Service Providers. Management Research in Iran, 22(1), 69-94. (In Persian)
Kayikci, Y. & Subramanian, N. & Dora, M. & Bhatia, M.S. (2022). Food supply chain in the era of Industry 4.0: Blockchain technology implementation opportunities and impediments from the perspective of people, process, performance, and technology. Production Planning & Control, 33(2-3), 301-321.
Khan, S.A.R. & Razzaq, A. & Yu, Z. & Shah, A. & Sharif, A. & Janjua, L. (2021). Disruption in food supply chain and undernourishment challenges: An empirical study in the context of Asian countries. Socio-Economic Planning Sciences, 101033.
Krishnan, R. & Yen, P. & Agarwal, R. & Arshinder, K. & Bajada, C. (2021). Collaborative innovation and sustainability in the food supply chain-evidence from farmer producer organisations. Resources, Conservation and Recycling, 168, 105253.
Kumar Singh, R. & Modgil, S. (2020). Assessment of lean supply chain practices in Indian automotive industry. Global Business Review, 0972150919890234.
Luthra, S. & Govindan, K. & Kharb, R.K. & Mangla, S.K. (2016). Evaluating the enablers in solar power developments in the current scenario using fuzzy DEMATEL: An Indian perspective. Renewable and Sustainable Energy Reviews, 63, 379-397.
Machado, V.C. & Duarte, S. (2010). Tradeoffs among paradigms in supply chain management. In International conference on industrial engineering and operations management. 9-10.
Maleki, M. & Cruz, M.V. (2013). Generic Integration of Lean, Agile, Resilient, and Green Practices in Automotive Supply Chain. Review of International Comparative Management/Revista de Management Comparat International, 14(2).
mashhadi, N. & Tavakkoli-Moghaddam, R. (2021). Mathematical modeling of a two-echelon location–routing problem in a perishable food supply chain with disruption risk. Emergency Management, 10(1), 31-46. (In Persian)
Micheli, G.J. & Cagno, E. & Mustillo, G. & Trianni, A. (2020). Green supply chain management drivers, practices and performance: A comprehensive study on the moderators. Journal of Cleaner Production, 259, 121024.
Mourad, M. (2016). Recycling, recovering and preventing “food waste”: Competing solutions for food systems sustainability in the United States and France. Journal of Cleaner Production, 126, 461-477.
Nasiri, E. & morovatisharifabadi, A. (2021). Providing A Model For the Key Success Factor in LARG Supply Chain Using Meta-synthesis. RMR 2021; 11 (2) :165-186 . (In Persian)
Orji, I.J. & Liu, S. (2020). A dynamic perspective on the key drivers of innovation-led lean approaches to achieve sustainability in manufacturing supply chain. International Journal of Production Economics, 219, 480-496.
Pizam, A. (2021). The aftermath of the corona virus pandemic. International Journal of Hospitality Management.
Qiu, Y. & Qiao, J. & Pardalos, P.M. (2019). Optimal production, replenishment, delivery, routing and inventory management policies for products with perishable inventory. Omega, 82, 193-204.
Rachid, B. & Roland, D. & Sebastien, D. & Ivana, R. (2017). Risk management approach for lean, agile, resilient and green supply chain. International Journal of Economics and Management Engineering, 11(4), 802-810.
Ranasinghe, R. & Damunupola, A. & Wijesundara, S. & Karunarathna, C. & Nawarathna, D. & Gamage, S. & Idroos, A.A. (2020). Tourism after corona: Impacts of COVID 19 pandemic and way forward for tourism, hotel and mice industry in Sri Lanka. Hotel and Mice Industry in Sri Lanka (April 22, 2020).
Reyes, J. & Mula, J. & Díaz-Madroñero, M. (2021). Development of a conceptual model for lean supply chain planning in industry 4.0: multidimensional analysis for operations management. Production Planning & Control, 1-16.
Ruiz-Benitez, R. & López, C. & Real, J.C. (2018). Achieving sustainability through the lean and resilient management of the supply chain. International Journal of Physical Distribution & Logistics Management.
Sadeghi-Moghadam, M.R. & Hosseini-Dehshiri, S.J. & Rajabi-Kafshgar, F.Z. & Sinaei, S.S. (2021). Utilization of Intuitive Fuzzy WASPAS Method with Interval Values to Evaluation of Reverse Logistics Implementation Actions in the LARG Supply Chain. Journal of Industrial Management Perspective, 11(3), 215-242. doi: 10.52547/jimp.11.3.215 . (In Persian)
Sarkar, S. & Costa, A.I. (2008). Dynamics of open innovation in the food industry. Trends in Food Science & Technology, 19(11), 574-580.
Sharma, Y.K. & Mangla, S.K., Patil, P.P. & Liu, S. (2019). When challenges impede the process: For circular economy-driven sustainability practices in food supply chain. Management Decision. URL: http://ormr.modares.ac.ir/article-28-49068-fa.html
Venturelli, A. & Caputo, A. & Pizzi, S. & Valenza, G. (2022). A dynamic framework for sustainable open innovation in the food industry. British Food Journal.
Klein, A.Z. & Da Costa, E.G. & Vieira, L.M. & Teixeira, R. (2014). The use of mobile technology in management and risk control in the supply chain: The case of a Brazilian beef chain. Journal of Global Information Management (JGIM), 22(1), 14-33.
Ren, Q.S. & Fang, K. & Yang, X.T. & Han, J.W. (2022). Ensuring the quality of meat in cold chain logistics: A comprehensive review. Trends in Food Science & Technology, 119, 133-151.
Zhao, G. & Olan, F. & Liu, S. & Hormazabal, J.H. & Lopez, C. & Zubairu, N, & Chen, X. (2022). Links between risk source identification and resilience capability building in agri-food supply chains: a comprehensive analysis. IEEE Transactions on Engineering Management.
Sumrow, S. & Hudson, D. & Sarasty, O. & Carpio, C. & Bratcher, C. (2024). Consumer preferences for worker and supply chain risk mitigation in the beef supply chain in response to COVID‐19 pandemic. Agribusiness, 40(1), 299-315.
