identyfication factors resilience of supply chain using fuzzy delphi method and mathematical model for optimal allocation of order
Subject Areas :
Industrial Management
batool askaryan
1
,
mohammad ebrahim pourzarandi.
2
,
Jala Haghighat monfared
3
1 - Department of Industrial Management،Centeral Tehran Branch,Islamic Azad University,Tehran,Iran
2 - Department of industrial Management,Central Tehran Branch,Islamic Azad University,Tehran,Iran (Corresponding Author),
3 - گروه مدیریت صنعتی،واحد تهران مرکزی ،دانشگاه آزاد اسلامی،تهران،ایران (نویسنده مسؤول)
Received: 2021-11-12
Accepted : 2022-05-26
Published : 2022-06-22
Keywords:
demateel fuzzy,
Supply Chain,
fuzzy Delphi,
Abstract :
The supply chain disruptions have caused hundreds of drug shortages since 2011, when a disruption occurs because the supply chain needs to be limited in terms of ability to adapt, so the supply chain needs to provide medicine to the amount and at the right time and acceptable quality, but any risk in the supply chain can not only waste resources but also threaten the lives of patients. In such situations, the perceived notion of an organization reflects the organization's ability to face unpredictable situations and if the organization can identify the supplier with suitable stakeholders. The organization has more resistance to disorders. so, in this paper, supplier selection in the تاب supply chain was introduced, first using library analysis and delphi method, the کنندگان factors were identified, and in the end, the mathematical model for optimal allocation of order to suppliers has been identified and then the mathematical model for the optimal allocation of order to suppliers has been developed, and the supply chain transparency is increased to increase managers ' knowledge to understand the necessary changes.
References:
Azadeh, A., Abdollahi, M., Farahani, M. H., & Soufi, H. R. (2014). Green-resilient supplier selection: an integrated approach. In International IEEE Conference, Istanbul. july 26(Vol. 28).
Yusoff, M., Fkrudin, A., Hashim, A., Muhamadm, N., Hamat, W., & Norina, W. (2021). Application of Fuzzy Delphi Technique to Identify the Elements for Designing and Developing the e-PBM PI-Poli Module. Asian Journal of University Education, 17(1), 292-304.
Haghighat, A. (2017). Presenting Prioterizing Model of Factors Affecting On Open Innovation by Using Dematel Method. Roshd-E-Fanavari, 13(51), 8-15. https://www.sid.ir/en/journal/ViewPaper.aspx?id=551460
Hosseini, S., & Barker, K. (2016). A Bayesian network model for resilience-based supplier selection. International Journal of Production Economics, 180, 68-87.
Tsai, H. C., Lee, A. S., Lee, H. N., Chen, C. N., & Liu, Y. C. (2020). An application of the fuzzy Delphi method and fuzzy AHP on the discussion of training indicators for the regional competition, Taiwan national skills competition, in the trade of joinery. Sustainability, 12(10), 4290.
Kamalahmadi, M., & Mellat-Parast, M. (2016). Developing a resilient supply chain through supplier flexibility and reliability assessment. International Journal of Production Research, 54(1), 302-321.
Khaki, GH. (2013). Research Methodology (dissertation writing approach). Tehran, Fozhan publishing.
Khedry, H., Jamali, G., Ghorbanpour, A. (2020). A Mixed Approach for Evaluation Preventive Maintenance Performance Based on Anti-Fragility Factors. Journal of Production and Operations Management, 11(3), 73-94. doi: 10.22108/jpom.2021.124605.1287
Karimmian, Z., Ghodsypour, S. H., & Gheidar-Kheljani, J. (2018). Supplier Selection Problem Considering Relationships between Suppliers and Supply Disruption Risk in complex products. Journal of Production and Operations Management, 8(2), 135-150.
Lima Junior, F. R., Osiro, L., & Carpinetti, L. C. R. (2014). A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection. Applied Soft Computing, 21,194-209.
Namdar, J., Li, X., Sawhney, R., & Pradhan, N. (2018). Supply chain resilience for single and multiple sourcing in the presence of disruption risks. International Journal of Production Research, 56(6), 2339-2360.
Pettit, T. J., Fiksel, J., & Croxton, K. L. (2010). Ensuring supply chain resilience: development of a conceptual framework. Journal of business logistics, 31(1), 1-21.
Pramanik, D., Haldar, A., Mondal, S. C., Naskar, S. K., & Ray, A. (2017). Resilient supplier selection using AHP-TOPSIS-QFD under a fuzzy environment. International Journal of Management Science and Engineering Management, 12(1), 45-54.
Qian, L. (2014). Market-based supplier selection with price, delivery time, and service level dependent demand. International Journal of Production Economics, 147, 697-706.
Shirinfar, M., & Haleh, H. (2011). Supplier Selection and Evaluation by Fuzzy Multi-Criteria Decision Making Methodology. IUST, 22(4), 271-280. http://ijiepr/iust/ac/ir/article-1-370-en/html. 17.
Szmelter-Jarosz, A. (2019). DEMATEL Method in Supplier Evaluation and Selection. Transport Economics and Logistics, 82, 129-142. https://doi.org/10.26881/etil.2019.82.11
Saaty, T.L. (1970). The Analytical Hierarchy Process. Mcgraw Hill, New York.
Torabi, S., M. Baghersad, & S. Mansouri. (2015). Resilient supplier selection and order allocation under operational and disruption risks. Transportation Research Part E: Logistics and Transportation Review.79, 22-48.
Tavana, M/, Kaviani, M. A., Di Caprio, D., & Rahpeyma, B. (2016). A two-stage data envelopment analysis model for measuring performance in three-level supply chains. Measurement, 78, 322-333.
Vecchi, A & Valisi, V. (2021). Supply chain resilience. Retrieved at https://www.thebci.org/static/e02a3e5f-82e5-4ff1-b8bc61de9657e9c8/BCI-0007h-Supply-Chain-Resilience-ReportLow-Singles.pdf.
Wang, T.-K., Zhang, Q., Chong, H.-Y., & Wang, X. (2017). Integrated supplier selection framework in a resilient construction supply chain: An approach via analytic hierarchy process (AHP) and grey relational analysis (GRA). Sustainability, 9(2), 289.
Wilson, Prentice D. (2000). Managing a global supply chain whit durable arm’s-length supplier relationship. Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2000.
Zare, S., Shirvan, H. E., Hemmatjo, R., Faridan, M., Hajghani, M., & Dehaghi, B. F. (2018). Using the analytic network process method for prioritizing and weighing shift work disorders among the personnel of hospitals of Kerman University of Medical Sciences. Journal of circadian rhythms, 16.
Piprani, A. Z., Mohezar, S., & Jaafar, N. I. (2020). Supply chain integration and supply chain performance: The mediating role of supply chain resilience. Int J Supply Chain Manage, 9, 58-73.
Davoudabadi, R., Mousavi, S. M., & Sharifi, E. (2020). An integrated weighting and ranking model based on entropy, DEA and PCA considering two aggregation approaches for resilient supplier selection problem. Journal of Computational Science, 40, 101074.
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Azadeh, A., Abdollahi, M., Farahani, M. H., & Soufi, H. R. (2014). Green-resilient supplier selection: an integrated approach. In International IEEE Conference, Istanbul. july 26(Vol. 28).
Yusoff, M., Fkrudin, A., Hashim, A., Muhamadm, N., Hamat, W., & Norina, W. (2021). Application of Fuzzy Delphi Technique to Identify the Elements for Designing and Developing the e-PBM PI-Poli Module. Asian Journal of University Education, 17(1), 292-304.
Haghighat, A. (2017). Presenting Prioterizing Model of Factors Affecting On Open Innovation by Using Dematel Method. Roshd-E-Fanavari, 13(51), 8-15. https://www.sid.ir/en/journal/ViewPaper.aspx?id=551460
Hosseini, S., & Barker, K. (2016). A Bayesian network model for resilience-based supplier selection. International Journal of Production Economics, 180, 68-87.
Tsai, H. C., Lee, A. S., Lee, H. N., Chen, C. N., & Liu, Y. C. (2020). An application of the fuzzy Delphi method and fuzzy AHP on the discussion of training indicators for the regional competition, Taiwan national skills competition, in the trade of joinery. Sustainability, 12(10), 4290.
Kamalahmadi, M., & Mellat-Parast, M. (2016). Developing a resilient supply chain through supplier flexibility and reliability assessment. International Journal of Production Research, 54(1), 302-321.
Khaki, GH. (2013). Research Methodology (dissertation writing approach). Tehran, Fozhan publishing.
Khedry, H., Jamali, G., Ghorbanpour, A. (2020). A Mixed Approach for Evaluation Preventive Maintenance Performance Based on Anti-Fragility Factors. Journal of Production and Operations Management, 11(3), 73-94. doi: 10.22108/jpom.2021.124605.1287
Karimmian, Z., Ghodsypour, S. H., & Gheidar-Kheljani, J. (2018). Supplier Selection Problem Considering Relationships between Suppliers and Supply Disruption Risk in complex products. Journal of Production and Operations Management, 8(2), 135-150.
Lima Junior, F. R., Osiro, L., & Carpinetti, L. C. R. (2014). A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection. Applied Soft Computing, 21,194-209.
Namdar, J., Li, X., Sawhney, R., & Pradhan, N. (2018). Supply chain resilience for single and multiple sourcing in the presence of disruption risks. International Journal of Production Research, 56(6), 2339-2360.
Pettit, T. J., Fiksel, J., & Croxton, K. L. (2010). Ensuring supply chain resilience: development of a conceptual framework. Journal of business logistics, 31(1), 1-21.
Pramanik, D., Haldar, A., Mondal, S. C., Naskar, S. K., & Ray, A. (2017). Resilient supplier selection using AHP-TOPSIS-QFD under a fuzzy environment. International Journal of Management Science and Engineering Management, 12(1), 45-54.
Qian, L. (2014). Market-based supplier selection with price, delivery time, and service level dependent demand. International Journal of Production Economics, 147, 697-706.
Shirinfar, M., & Haleh, H. (2011). Supplier Selection and Evaluation by Fuzzy Multi-Criteria Decision Making Methodology. IUST, 22(4), 271-280. http://ijiepr/iust/ac/ir/article-1-370-en/html. 17.
Szmelter-Jarosz, A. (2019). DEMATEL Method in Supplier Evaluation and Selection. Transport Economics and Logistics, 82, 129-142. https://doi.org/10.26881/etil.2019.82.11
Saaty, T.L. (1970). The Analytical Hierarchy Process. Mcgraw Hill, New York.
Torabi, S., M. Baghersad, & S. Mansouri. (2015). Resilient supplier selection and order allocation under operational and disruption risks. Transportation Research Part E: Logistics and Transportation Review.79, 22-48.
Tavana, M/, Kaviani, M. A., Di Caprio, D., & Rahpeyma, B. (2016). A two-stage data envelopment analysis model for measuring performance in three-level supply chains. Measurement, 78, 322-333.
Vecchi, A & Valisi, V. (2021). Supply chain resilience. Retrieved at https://www.thebci.org/static/e02a3e5f-82e5-4ff1-b8bc61de9657e9c8/BCI-0007h-Supply-Chain-Resilience-ReportLow-Singles.pdf.
Wang, T.-K., Zhang, Q., Chong, H.-Y., & Wang, X. (2017). Integrated supplier selection framework in a resilient construction supply chain: An approach via analytic hierarchy process (AHP) and grey relational analysis (GRA). Sustainability, 9(2), 289.
Wilson, Prentice D. (2000). Managing a global supply chain whit durable arm’s-length supplier relationship. Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2000.
Zare, S., Shirvan, H. E., Hemmatjo, R., Faridan, M., Hajghani, M., & Dehaghi, B. F. (2018). Using the analytic network process method for prioritizing and weighing shift work disorders among the personnel of hospitals of Kerman University of Medical Sciences. Journal of circadian rhythms, 16.
Piprani, A. Z., Mohezar, S., & Jaafar, N. I. (2020). Supply chain integration and supply chain performance: The mediating role of supply chain resilience. Int J Supply Chain Manage, 9, 58-73.
Davoudabadi, R., Mousavi, S. M., & Sharifi, E. (2020). An integrated weighting and ranking model based on entropy, DEA and PCA considering two aggregation approaches for resilient supplier selection problem. Journal of Computational Science, 40, 101074.
