ارائه چارچوبی برای شناسایی ریسک‌های زنجیره تامین لارج
محورهای موضوعی :
مدیریت ، برنامه ریزی و آموزش محیط زیست
محمد قرقچیان
1
(دکتری مدیریت صنعتی، دانشگاه آزاد اسلامی قم، قم، ایران.)
امیدعلی عادلی
2
(دانشیار اقتصاد دانشگاه قم، قم، ایران.* (مسول مکاتبات))
مژگان صفا
3
(استادیار گروه حسابداری، واحد قم، دانشگاه آزاد اسلامی، قم، ایران.)
محمد رضا پورفخاران
4
(استادیار گروه حسابداری، واحد قم، دانشگاه آزاد اسلامی، قم، ایران.)
تاریخ دریافت : 1400/05/23
تاریخ پذیرش : 1400/09/23
تاریخ انتشار : 1401/04/01
کلید واژه:
رویکرد ترکیبی,
زنجیره تامین لارج,
ریسک زنجیره تامین,
صنعت خودرو,
چکیده مقاله :
زمینه و هدف: زنجیره تامین لارج ترکیبی از چهار زنجیره ناب، چابک، تاب‌آور و سبز است. هر کدام از انواع زنجیره تامین، الزامات خاص خود را دارد که ممکن است در تعارض با الزامات زنجیره تامین دیگر باشد. تحقیق حاضر به دنبال شناسایی انواع ریسک‌های پیش روی زنجیره تامین لارج می‌باشد.روش بررسی: تحقیق حاضر از نظر بنیان فلسفی به علت به کارگیری روش‌های کمی، ماهیت اثباتی دارد. از منظر جهت‌گیری، پژوهش دارای رویکرد کاربردی بوده و روش‌شناسی آن چندگانه است. جامعه آماری تحقیق، خبرگان زنجیره تامین صنعت خودرو هستند که با به کارگیری روش قضاوتی برای نمونه‌گیری انتخاب شدند. در این پژوهش از دو روش دلفی فازی و بهترین- بدترین برای تحلیل داده‌ها استفاده شد. این تحقیق در بازه زمانی بهمن 1399 تا تیر 1400 انجام شده است.یافته‌ها: در ابتدا از طریق مرور پیشینه و مصاحبه با خبرگان، 41 ریسک شناسایی شد که این 41 ریسک در قالب 13 ریسک اصلی معرفی شده‌اند. هر کدام از این ریسک‌ها مربوط به زنجیره تامین خاصی هستند. در ادامه این ریسک‌ها با دلفی فازی غربال شدند و 25 ریسک حذف شد. ریسک‌های باقی مانده با کاربست تکنیک بهترین- بدترین اولویت‌بندی شدند. نتایج نشان داد ریسک‌های مشکلات تامین مالی، برنامه‌ریزی تولید، تغییر سلایق مردم و ضعف فرایندها و فناوری بازیافت، دارای بیش‌ترین اولویت در هر یک از اجزای زنجیره تامین لارج هستند.بحث و نتیجه‌گیری: تنوع بخشی به ابزارهای تامین مالی، استفاده از روش‌های جدید بازاریابی و داشتن رویکرد تیمی در توسعه محصولات، توجه به روندهای موثر روی رفتار مصرف‌کننده در آینده و بررسی تغییرات رفتار خرید مشتریان، مهم‌ترین پیشنهادهای پژوهش برای پاسخ به ریسک هستند.
چکیده انگلیسی:
Background & Objectives: LARG supply chain is a combination of four supply chains: lean, agile, resilient and green. Each type of supply chain has its own requirements that may conflict with other supply chain requirements. The study seeks to identify the types of risks facing the LARG supply chain.Material and Methodology: The present study has a positive nature in terms of philosophical foundations due to the use of quantitative methods. From the orientation point of view, the research has an applied approach and its methodology is multiple. The statistical population of the study is the experts of the supply chain of the automotive industry who are selected using a judgmental method for sampling. In this study, two methods of fuzzy Delphi and best-worst were used to analyze the data.Findings: Initially, 41 risks were identified through literature and interviews with experts. In the following, these 41 risks are presented in the form of 13 main risks. Each of these risks is related to a specific supply chain. These risks were then screened by fuzzy Delphi and 25 risks were excluded. The remaining risks were prioritized using the BWM. The results showed that the risks of financing problems, production planning, changing customer demands and weakness of processes and recycling technology have the highest priority in each component of the LARG supply chain.Discussion and Conclusion: Diversifying financing tools, using new marketing methods and having a team approach in product development, paying attention to trends affecting future consumer behavior and examining changes in customers' buying behavior are the most important suggestions.
منابع و مأخذ:
Brindley, C. (2017). Supply chain risk. Routledge.
Atashsooz, A., Feizi, K., Kazazi, A., & Olfat, L. (2015). A Model for Relationship of Supply Chain Risks in Iran’s Petrochemical Industry. Industrial Management Journal, 7(3), 405-424. (In Persian)
Abdel-Basset, M., & Mohamed, R. (2020). A novel plithogenic TOPSIS-CRITIC model for sustainable supply chain risk management. Journal of Cleaner Production, 247, 119586.
Nath, V., & Agrawal, R. (2020). Agility and lean practices as antecedents of supply chain social sustainability. International Journal of Operations & Production Management.
Agrawal, P., Narain, R., & Ullah, I. (2019). Analysis of barriers in implementation of digital transformation of supply chain using interpretive structural modelling approach. Journal of Modelling in Management.
Karl, A. A., Micheluzzi, J., Leite, L. R., & Pereira, C. R. (2018). Supply chain resilience and key performance indicators: a systematic literature review. Production, 28.
Calvo, J., Olmo, J. L. D., & Berlanga, V. (2020). Supply chain resilience and agility: a theoretical literature review. International Journal of Supply Chain and Operations Resilience, 4(1), 37-69.
Carvalho, A. M., Sampaio, P., & Rebentisch, E. (2019, December). On Agile Metrics for Operations Management: Measuring and Aligning Agility with Operational Excellence. In 2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 1601-1605). IEEE.
Azevedo, S. G., Carvalho, H., & Cruz-Machado, V. (2016). LARG index: A benchmarking tool for improving the leanness, agility, resilience and greenness of the automotive supply chain. Benchmarking: An International Journal.
Sharma, V., Raut, R. D., Mangla, S. K., Narkhede, B. E., Luthra, S., & Gokhale, R. (2021). A systematic literature review to integrate lean, agile, resilient, green and sustainable paradigms in the supply chain management. Business Strategy and the Environment, 30(2), 1191-1212.
Asl, R. S., Khajeh, M. B., Pasban, M., & Rostamzadeh, R. (2021). A systematic literature review on supply chain approaches. Journal of Modelling in Management.
Atefi, M. R., Radfar, R., & Asgharizade, E. (2021). A system dynamics model for balanced performance evaluation of a LARG Supply Chain. Journal of Industrial Management Perspective. (in Persian).
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)
Divsalar, M., Ahmadi, M., & Nemati, Y. (2020). A SCOR-Based model to evaluate LARG supply chain performance using a Hybrid MADM method. IEEE Transactions on Engineering Management.
Dohale, V., Verma, P., Gunasekaran, A., & Ambilkar, P. (2021). COVID-19 and supply chain risk mitigation: a case study from India. The International Journal of Logistics Management.
Fagundes, M. V. C., Teles, E. O., de Melo, S. A. V., & Freires, F. G. M. (2020). Decision-making models and support systems for supply chain risk: literature mapping and future research agenda. European Research on Management and Business Economics, 26(2), 63-70.
Handfield, R., Sun, H., & Rothenberg, L. (2020). Assessing supply chain risk for apparel production in low cost countries using newsfeed analysis. Supply Chain Management: An International Journal.
Ivanov, D., Tsipoulanidis, A., & Schönberger, J. (2021). Supply chain risk management and resilience. In Global Supply Chain and Operations Management (pp. 485-520). Springer, Cham.
Sousa, J. C. D., Alves, M. B., Leocádio, L., & Rossato, J. (2020). Environmental Management of Larg Supply Chain: A Diagnostic Instrument Proposed for Assessing Suppliers. Brazilian Business Review, 16, 537-554.
Raut, R. D., Mangla, S. K., Narwane, V. S., Dora, M., & Liu, M. (2021). Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains. Transportation Research Part E: Logistics and Transportation Review, 145, 102170.
Claypool, E., Norman, B. A., & Needy, K. L. (2014). Modeling risk in a Design for Supply Chain problem. Computers & Industrial Engineering, 78, 44-54.
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.
Chen, X., Luo, J., Wang, X., & Yang, D. (2020). Supply chain risk management considering put options and service level constraints. Computers & Industrial Engineering, 140, 106228.
Moktadir, M. A., Dwivedi, A., Khan, N. S., Paul, S. K., Khan, S. A., Ahmed, S., & Sultana, R. (2021). Analysis of risk factors in sustainable supply chain management in an emerging economy of leather industry. Journal of Cleaner Production, 283, 124641.
Munir, M., Jajja, M. S. S., Chatha, K. A., & Farooq, S. (2020). Supply chain risk management and operational performance: The enabling role of supply chain integration. International Journal of Production Economics, 227, 107667.
Cunha, L., Ceryno, P., & Leiras, A. (2019). Social supply chain risk management: A taxonomy, a framework and a research agenda. Journal of Cleaner Production, 220, 1101-1110.
Masár, M., Hudáková, M., Šimák, L., & Brezina, D. (2019). The current state of project risk management in the transport sector. Transportation Research Procedia, 40, 1119-1126.
Behdani, B., Lukszo, Z., & Srinivasan, R. (2019). Agent-oriented simulation framework for handling disruptions in chemical supply chains. Computers & Chemical Engineering, 122, 306-325.
AKBARZADEH, Z., & SAFAEI, G. A. (2020). Evaluation and Importance-Performance Analysis of LARG Supply Chain Practices in Dairy Industries (Case Study: Kalleh Dairy Company). (In Persian)
Araz, O. M., Choi, T. M., Olson, D., & Salman, F. S. (2020). Data analytics for operational risk management. Decision Sciences, 51(6), 1316-1319.
Singh, N. P., & Singh, S. (2019). Building supply chain risk resilience. Benchmarking: An International Journal.
Ghadge, A., Jena, S. K., Kamble, S., Misra, D., & Tiwari, M. K. (2020). Impact of financial risk on supply chains: a manufacturer-supplier relational perspective. International Journal of Production Research, 1-16.
Sadeghi Moghaddam, M.R., Karimi, T., Bandesi, S. (2018). 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)
DuHadway, S., Carnovale, S., & Hazen, B. (2019). Understanding risk management for intentional supply chain disruptions: Risk detection, risk mitigation, and risk recovery. Annals of Operations Research, 283(1), 179-198.
Dias, G. C., Hernandez, C. T., & Oliveira, U. R. D. (2020). Supply chain risk management and risk ranking in the automotive industry. Gestão & Produção, 27(1).
Hosseinzadeh, M., Mehregan, M. R., & Ghomi, M. (2019). Identifying and Analyzing Supply Chain Risks of Saipa Automobile Company using the Coso Model and Social Network Analysis (SNA). Journal of Production and Operations Management, 10(1), 111-132. (In Persian)
Yahyazadeh Far, M., Azar, A., Aghajani, H. A., & Farhadian, A. (2018). Designing Strategic Management System for Supply Chain Risk. Journal of Strategic Management Studies, 9(33), 97-114. (In Persian)
Rao, S., & Goldsby, T. J. (2009). Supply chain risks: a review and typology. The International Journal of Logistics Management.
Bennett, M., James, P., & Klinkers, L. (Eds.). (2017). Sustainable measures: Evaluation and reporting of environmental and social performance. Routledge.
Arameahinia, P., Shobeiri, S. M., & Larijani, M. (2021). The Effect of Environmental Education on the Amount of Knowledge Level, Attitude and Behavior of Local Society to Protect the Biological Variety (Subject of Study to Reserve Dena Sphere of Living). Journal of Environmental Science and Technology, 23(3), 103-116. (In Persian)
Karimzadegan, H., & Kianous, A. (2021). The Effect of Strategic Management on Minimizing the Pollution of Oil Refinery (A case study on Tehran Oil Refinery). Journal of Environmental Science and Technology, 23(3), 41-56. (In Persian)
Pourjamshidi, H., Mehdizadeh, H., & Motamedinia, Z. (2021). Investigating the factors affecting the consumption of green products among the citizens of Khorramabad with the technique (SEM. Journal of Environmental Science and Technology, 22(12), 147-161. (In Persian)
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Brindley, C. (2017). Supply chain risk. Routledge.
Atashsooz, A., Feizi, K., Kazazi, A., & Olfat, L. (2015). A Model for Relationship of Supply Chain Risks in Iran’s Petrochemical Industry. Industrial Management Journal, 7(3), 405-424. (In Persian)
Abdel-Basset, M., & Mohamed, R. (2020). A novel plithogenic TOPSIS-CRITIC model for sustainable supply chain risk management. Journal of Cleaner Production, 247, 119586.
Nath, V., & Agrawal, R. (2020). Agility and lean practices as antecedents of supply chain social sustainability. International Journal of Operations & Production Management.
Agrawal, P., Narain, R., & Ullah, I. (2019). Analysis of barriers in implementation of digital transformation of supply chain using interpretive structural modelling approach. Journal of Modelling in Management.
Karl, A. A., Micheluzzi, J., Leite, L. R., & Pereira, C. R. (2018). Supply chain resilience and key performance indicators: a systematic literature review. Production, 28.
Calvo, J., Olmo, J. L. D., & Berlanga, V. (2020). Supply chain resilience and agility: a theoretical literature review. International Journal of Supply Chain and Operations Resilience, 4(1), 37-69.
Carvalho, A. M., Sampaio, P., & Rebentisch, E. (2019, December). On Agile Metrics for Operations Management: Measuring and Aligning Agility with Operational Excellence. In 2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 1601-1605). IEEE.
Azevedo, S. G., Carvalho, H., & Cruz-Machado, V. (2016). LARG index: A benchmarking tool for improving the leanness, agility, resilience and greenness of the automotive supply chain. Benchmarking: An International Journal.
Sharma, V., Raut, R. D., Mangla, S. K., Narkhede, B. E., Luthra, S., & Gokhale, R. (2021). A systematic literature review to integrate lean, agile, resilient, green and sustainable paradigms in the supply chain management. Business Strategy and the Environment, 30(2), 1191-1212.
Asl, R. S., Khajeh, M. B., Pasban, M., & Rostamzadeh, R. (2021). A systematic literature review on supply chain approaches. Journal of Modelling in Management.
Atefi, M. R., Radfar, R., & Asgharizade, E. (2021). A system dynamics model for balanced performance evaluation of a LARG Supply Chain. Journal of Industrial Management Perspective. (in Persian).
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)
Divsalar, M., Ahmadi, M., & Nemati, Y. (2020). A SCOR-Based model to evaluate LARG supply chain performance using a Hybrid MADM method. IEEE Transactions on Engineering Management.
Dohale, V., Verma, P., Gunasekaran, A., & Ambilkar, P. (2021). COVID-19 and supply chain risk mitigation: a case study from India. The International Journal of Logistics Management.
Fagundes, M. V. C., Teles, E. O., de Melo, S. A. V., & Freires, F. G. M. (2020). Decision-making models and support systems for supply chain risk: literature mapping and future research agenda. European Research on Management and Business Economics, 26(2), 63-70.
Handfield, R., Sun, H., & Rothenberg, L. (2020). Assessing supply chain risk for apparel production in low cost countries using newsfeed analysis. Supply Chain Management: An International Journal.
Ivanov, D., Tsipoulanidis, A., & Schönberger, J. (2021). Supply chain risk management and resilience. In Global Supply Chain and Operations Management (pp. 485-520). Springer, Cham.
Sousa, J. C. D., Alves, M. B., Leocádio, L., & Rossato, J. (2020). Environmental Management of Larg Supply Chain: A Diagnostic Instrument Proposed for Assessing Suppliers. Brazilian Business Review, 16, 537-554.
Raut, R. D., Mangla, S. K., Narwane, V. S., Dora, M., & Liu, M. (2021). Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains. Transportation Research Part E: Logistics and Transportation Review, 145, 102170.
Claypool, E., Norman, B. A., & Needy, K. L. (2014). Modeling risk in a Design for Supply Chain problem. Computers & Industrial Engineering, 78, 44-54.
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.
Chen, X., Luo, J., Wang, X., & Yang, D. (2020). Supply chain risk management considering put options and service level constraints. Computers & Industrial Engineering, 140, 106228.
Moktadir, M. A., Dwivedi, A., Khan, N. S., Paul, S. K., Khan, S. A., Ahmed, S., & Sultana, R. (2021). Analysis of risk factors in sustainable supply chain management in an emerging economy of leather industry. Journal of Cleaner Production, 283, 124641.
Munir, M., Jajja, M. S. S., Chatha, K. A., & Farooq, S. (2020). Supply chain risk management and operational performance: The enabling role of supply chain integration. International Journal of Production Economics, 227, 107667.
Cunha, L., Ceryno, P., & Leiras, A. (2019). Social supply chain risk management: A taxonomy, a framework and a research agenda. Journal of Cleaner Production, 220, 1101-1110.
Masár, M., Hudáková, M., Šimák, L., & Brezina, D. (2019). The current state of project risk management in the transport sector. Transportation Research Procedia, 40, 1119-1126.
Behdani, B., Lukszo, Z., & Srinivasan, R. (2019). Agent-oriented simulation framework for handling disruptions in chemical supply chains. Computers & Chemical Engineering, 122, 306-325.
AKBARZADEH, Z., & SAFAEI, G. A. (2020). Evaluation and Importance-Performance Analysis of LARG Supply Chain Practices in Dairy Industries (Case Study: Kalleh Dairy Company). (In Persian)
Araz, O. M., Choi, T. M., Olson, D., & Salman, F. S. (2020). Data analytics for operational risk management. Decision Sciences, 51(6), 1316-1319.
Singh, N. P., & Singh, S. (2019). Building supply chain risk resilience. Benchmarking: An International Journal.
Ghadge, A., Jena, S. K., Kamble, S., Misra, D., & Tiwari, M. K. (2020). Impact of financial risk on supply chains: a manufacturer-supplier relational perspective. International Journal of Production Research, 1-16.
Sadeghi Moghaddam, M.R., Karimi, T., Bandesi, S. (2018). 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)
DuHadway, S., Carnovale, S., & Hazen, B. (2019). Understanding risk management for intentional supply chain disruptions: Risk detection, risk mitigation, and risk recovery. Annals of Operations Research, 283(1), 179-198.
Dias, G. C., Hernandez, C. T., & Oliveira, U. R. D. (2020). Supply chain risk management and risk ranking in the automotive industry. Gestão & Produção, 27(1).
Hosseinzadeh, M., Mehregan, M. R., & Ghomi, M. (2019). Identifying and Analyzing Supply Chain Risks of Saipa Automobile Company using the Coso Model and Social Network Analysis (SNA). Journal of Production and Operations Management, 10(1), 111-132. (In Persian)
Yahyazadeh Far, M., Azar, A., Aghajani, H. A., & Farhadian, A. (2018). Designing Strategic Management System for Supply Chain Risk. Journal of Strategic Management Studies, 9(33), 97-114. (In Persian)
Rao, S., & Goldsby, T. J. (2009). Supply chain risks: a review and typology. The International Journal of Logistics Management.
Bennett, M., James, P., & Klinkers, L. (Eds.). (2017). Sustainable measures: Evaluation and reporting of environmental and social performance. Routledge.
Arameahinia, P., Shobeiri, S. M., & Larijani, M. (2021). The Effect of Environmental Education on the Amount of Knowledge Level, Attitude and Behavior of Local Society to Protect the Biological Variety (Subject of Study to Reserve Dena Sphere of Living). Journal of Environmental Science and Technology, 23(3), 103-116. (In Persian)
Karimzadegan, H., & Kianous, A. (2021). The Effect of Strategic Management on Minimizing the Pollution of Oil Refinery (A case study on Tehran Oil Refinery). Journal of Environmental Science and Technology, 23(3), 41-56. (In Persian)
Pourjamshidi, H., Mehdizadeh, H., & Motamedinia, Z. (2021). Investigating the factors affecting the consumption of green products among the citizens of Khorramabad with the technique (SEM. Journal of Environmental Science and Technology, 22(12), 147-161. (In Persian)
