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Manuscript ID : JEST-2108-5469 (R2) Visit : 173 Page: 1 - 15

10.30495/jest.2022.61734.5469

Article Type: Original Research

A framework for identifying LARG supply chain risks

Subject Areas : مدیریت ، برنامه ریزی و آموزش محیط زیست

Mohammad Ghoroghchian 1 , Omid Ali Adeli 2 , Mozhgan safa 3 , Mohammad Reza Pourfakharan 4

1 - PhD of Industerial Management, Qom branch, Islamic Azad University, Qom, Iran.
2 - Associate professor of Economics, University of Qom, Qom, Iran. *(Corresponding Author)
3 - Assistant professor of Accounting, Qom Branch, Islamic Azad University, Qom, Iran.
4 - Assistant professor of Accounting, Qom Branch, Islamic Azad University, Qom, Iran.

Received: 2021-08-14 Accepted : 2021-12-14 Published : 2022-06-22

Keywords: Mixed Approach, Supply Chain Risk, LARG Supply Chain, Automotive industry,

Abstract :

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. 

References:


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    43.




 

 

 

 

_||_

  1. Brindley, C. (2017). Supply chain risk. Routledge.
    2.
  2. 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)
    3.
  3. Abdel-Basset, M., & Mohamed, R. (2020). A novel plithogenic TOPSIS-CRITIC model for sustainable supply chain risk management. Journal of Cleaner Production, 247, 119586.
    4.
  4. Nath, V., & Agrawal, R. (2020). Agility and lean practices as antecedents of supply chain social sustainability. International Journal of Operations & Production Management.
    5.
  5. 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.
    6.
  6. 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.
    7.
  7. 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.
    8.
  8. 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.
    9.
  9. 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.
    10.
  10. 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.
    11.
  11. Asl, R. S., Khajeh, M. B., Pasban, M., & Rostamzadeh, R. (2021). A systematic literature review on supply chain approaches. Journal of Modelling in Management.
    12.
  12. 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).
    13.
  13. 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)
    14.
  14. 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.
    15.
  15. 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.
    16.
  16. 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.
    17.
  17. 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.
    18.
  18. 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.
    19.
  19. 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.
    20.
  20. 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.
    21.
  21. Claypool, E., Norman, B. A., & Needy, K. L. (2014). Modeling risk in a Design for Supply Chain problem. Computers & Industrial Engineering, 78, 44-54.
    22.
  22. 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.
    23.
  23. 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.
    24.
  24. 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.
    25.
  25. 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.
    26.
  26. 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.
    27.
  27. 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.
    28.
  28. Behdani, B., Lukszo, Z., & Srinivasan, R. (2019). Agent-oriented simulation framework for handling disruptions in chemical supply chains. Computers & Chemical Engineering, 122, 306-325.
    29.
  29. 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)
    30.
  30. Araz, O. M., Choi, T. M., Olson, D., & Salman, F. S. (2020). Data analytics for operational risk management. Decision Sciences, 51(6), 1316-1319.
    31.
  31. Singh, N. P., & Singh, S. (2019). Building supply chain risk resilience. Benchmarking: An International Journal.
    32.
  32. 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.
    33.
  33. 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)
    34.
  34. 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.
    35.
  35. 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).
    36.
  36. 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)
    37.
  37. 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)
    38.
  38. Rao, S., & Goldsby, T. J. (2009). Supply chain risks: a review and typology. The International Journal of Logistics Management.
    39.
  39. Bennett, M., James, P., & Klinkers, L. (Eds.). (2017). Sustainable measures: Evaluation and reporting of environmental and social performance. Routledge.
    40.
  40. 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)
    41.
  41. 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)
    42.
  42. 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)
    43.




 

 

 

 

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