Designing a multi-period multi-stage supply chain network under uncertainty
Purpose: One of the biggest challenges of the 21st century is meeting the needs of the growing world population. The supply chain of perishable goods, including food, dairy products, medicines, and blood products, has recently received attention due to their impact on human life. In this article, th...
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Ayandegan Institute of Higher Education, Tonekabon,
2024-06-01
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| Series: | تصمیم گیری و تحقیق در عملیات |
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| Online Access: | https://www.journal-dmor.ir/article_193264_f0d7acef98aceceeb58adac4d40e9762.pdf |
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| _version_ | 1832577828479041536 |
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| author | Maryam Hemmati Masoud Rabbani Mohammad Reza Mehregan |
| author_facet | Maryam Hemmati Masoud Rabbani Mohammad Reza Mehregan |
| author_sort | Maryam Hemmati |
| collection | DOAJ |
| description | Purpose: One of the biggest challenges of the 21st century is meeting the needs of the growing world population. The supply chain of perishable goods, including food, dairy products, medicines, and blood products, has recently received attention due to their impact on human life. In this article, the design of a sustainable supply chain network for perishable items has been discussed. To optimize this supply chain, a multi-objective Mixed Integer Linear Programming (MILP) model has been developed to formulate the problem. Fixed deterioration rate (expiration date) is considered.Methodology: To perform the research calculations, GAMS software and the combined method of Bander's analysis and Lagrange coefficient were used, and based on the data, results were obtained, and the relative weight of the stability of the solution (ω) was equal to 0.5 and the relative weight of the stability of the model was (ω) equal to 5000 has been developed to meet the proposed objectives. These comparisons show that the presented network was robust in all performance objectives.Findings: The results obtained from the combined method regarding the three objective functions defined for the main model show this fact. The results of the first iteration provide us with better answers compared to the other iterations.Originality/Value: This research can be considered as one of the first optimization papers that presented a multi-level and multi-product-multi-period supply chain with uncertainty in the parameters in the dairy and pharmaceutical industries and the environmental costs of production and transportation and sustainable social costs such as reported accidents and incidents, job satisfaction, safety, reduction of dispatch time and lost working days simultaneously with the economic dimension in management-related decisions. Allocation combines location and routing. |
| format | Article |
| id | doaj-art-9918ec04161b4843806562ef734c926b |
| institution | Kabale University |
| issn | 2538-5097 2676-6159 |
| language | fas |
| publishDate | 2024-06-01 |
| publisher | Ayandegan Institute of Higher Education, Tonekabon, |
| record_format | Article |
| series | تصمیم گیری و تحقیق در عملیات |
| spelling | doaj-art-9918ec04161b4843806562ef734c926b2025-01-30T15:03:40ZfasAyandegan Institute of Higher Education, Tonekabon,تصمیم گیری و تحقیق در عملیات2538-50972676-61592024-06-019120623510.22105/dmor.2023.365539.1679193264Designing a multi-period multi-stage supply chain network under uncertaintyMaryam Hemmati0Masoud Rabbani1Mohammad Reza Mehregan2Department of Industrial Management, Kish International Campus, Tehran University, Kish, Iran.Faculty of Industrial Engineering, Technical Campus, University of Tehran, Tehran, Iran.Department of Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran.Purpose: One of the biggest challenges of the 21st century is meeting the needs of the growing world population. The supply chain of perishable goods, including food, dairy products, medicines, and blood products, has recently received attention due to their impact on human life. In this article, the design of a sustainable supply chain network for perishable items has been discussed. To optimize this supply chain, a multi-objective Mixed Integer Linear Programming (MILP) model has been developed to formulate the problem. Fixed deterioration rate (expiration date) is considered.Methodology: To perform the research calculations, GAMS software and the combined method of Bander's analysis and Lagrange coefficient were used, and based on the data, results were obtained, and the relative weight of the stability of the solution (ω) was equal to 0.5 and the relative weight of the stability of the model was (ω) equal to 5000 has been developed to meet the proposed objectives. These comparisons show that the presented network was robust in all performance objectives.Findings: The results obtained from the combined method regarding the three objective functions defined for the main model show this fact. The results of the first iteration provide us with better answers compared to the other iterations.Originality/Value: This research can be considered as one of the first optimization papers that presented a multi-level and multi-product-multi-period supply chain with uncertainty in the parameters in the dairy and pharmaceutical industries and the environmental costs of production and transportation and sustainable social costs such as reported accidents and incidents, job satisfaction, safety, reduction of dispatch time and lost working days simultaneously with the economic dimension in management-related decisions. Allocation combines location and routing.https://www.journal-dmor.ir/article_193264_f0d7acef98aceceeb58adac4d40e9762.pdfperishable sustainable supply chaindisruption riskuncertaintyrobust programming |
| spellingShingle | Maryam Hemmati Masoud Rabbani Mohammad Reza Mehregan Designing a multi-period multi-stage supply chain network under uncertainty تصمیم گیری و تحقیق در عملیات perishable sustainable supply chain disruption risk uncertainty robust programming |
| title | Designing a multi-period multi-stage supply chain network under uncertainty |
| title_full | Designing a multi-period multi-stage supply chain network under uncertainty |
| title_fullStr | Designing a multi-period multi-stage supply chain network under uncertainty |
| title_full_unstemmed | Designing a multi-period multi-stage supply chain network under uncertainty |
| title_short | Designing a multi-period multi-stage supply chain network under uncertainty |
| title_sort | designing a multi period multi stage supply chain network under uncertainty |
| topic | perishable sustainable supply chain disruption risk uncertainty robust programming |
| url | https://www.journal-dmor.ir/article_193264_f0d7acef98aceceeb58adac4d40e9762.pdf |
| work_keys_str_mv | AT maryamhemmati designingamultiperiodmultistagesupplychainnetworkunderuncertainty AT masoudrabbani designingamultiperiodmultistagesupplychainnetworkunderuncertainty AT mohammadrezamehregan designingamultiperiodmultistagesupplychainnetworkunderuncertainty |