Multi-Criteria Decision Analysis for Sustainable Medicinal Supply Chain Problems with Adaptability and Challenges Issues
<i>Background:</i> The supply chain refers to the full process of creating and providing a good or service, starting with the raw materials and ending with the final customer. It requires cooperation and coordination between many parties, including the suppliers, manufacturers, distribut...
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MDPI AG
2025-02-01
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| Series: | Logistics |
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| author | Alaa Fouad Momena Kamal Hossain Gazi Sankar Prasad Mondal |
| author_facet | Alaa Fouad Momena Kamal Hossain Gazi Sankar Prasad Mondal |
| author_sort | Alaa Fouad Momena |
| collection | DOAJ |
| description | <i>Background:</i> The supply chain refers to the full process of creating and providing a good or service, starting with the raw materials and ending with the final customer. It requires cooperation and coordination between many parties, including the suppliers, manufacturers, distributors, retailers, and customers. <i>Methods:</i> In the medicinal supply chain (MSC), the critical nature of these processes becomes more complicated. It requires strict regulation, quality control, and traceability to ensure patient safety and compliance with regulatory standards. This study is conducted to suggest a smooth channel to deal with the challenges and adaptability of the MSC. Different MSC challenges are considered as criteria which deal with various adaptation plans. Multi-criteria decision-making (MCDM) methodologies are taken as optimization tools and probabilistic linguistic term sets (PLTSs) are considered for express uncertainty. <i>Results:</i> The subscript degree function (SDF) and deviation degree function (DDF) are introduced to evaluate the crisp value of the PLTSs. An MSC model is constructed to optimize the sustainable medicinal supply chain and overcome various barriers to MSC problems. <i>Conclusions:</i> Additionally, sensitivity analysis and comparative analysis were conducted to check the robustness and flexibility of the system. Finally, the conclusion section determines the optimal weighted criteria for the MSC problem and identifies the best possible solutions for MSC using PLTS-based MCDM methodologies. |
| format | Article |
| id | doaj-art-097dd60673c64875bcff4ce7664cfbad |
| institution | DOAJ |
| issn | 2305-6290 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Logistics |
| spelling | doaj-art-097dd60673c64875bcff4ce7664cfbad2025-08-20T03:16:03ZengMDPI AGLogistics2305-62902025-02-01913110.3390/logistics9010031Multi-Criteria Decision Analysis for Sustainable Medicinal Supply Chain Problems with Adaptability and Challenges IssuesAlaa Fouad Momena0Kamal Hossain Gazi1Sankar Prasad Mondal2Department of Industrial Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Al Kharaj 11942, Saudi ArabiaDepartment of Applied Mathematics, Maulana Abul Kalam Azad University of Technology, West Bengal, Haringhata 741249, West Bengal, IndiaDepartment of Applied Mathematics, Maulana Abul Kalam Azad University of Technology, West Bengal, Haringhata 741249, West Bengal, India<i>Background:</i> The supply chain refers to the full process of creating and providing a good or service, starting with the raw materials and ending with the final customer. It requires cooperation and coordination between many parties, including the suppliers, manufacturers, distributors, retailers, and customers. <i>Methods:</i> In the medicinal supply chain (MSC), the critical nature of these processes becomes more complicated. It requires strict regulation, quality control, and traceability to ensure patient safety and compliance with regulatory standards. This study is conducted to suggest a smooth channel to deal with the challenges and adaptability of the MSC. Different MSC challenges are considered as criteria which deal with various adaptation plans. Multi-criteria decision-making (MCDM) methodologies are taken as optimization tools and probabilistic linguistic term sets (PLTSs) are considered for express uncertainty. <i>Results:</i> The subscript degree function (SDF) and deviation degree function (DDF) are introduced to evaluate the crisp value of the PLTSs. An MSC model is constructed to optimize the sustainable medicinal supply chain and overcome various barriers to MSC problems. <i>Conclusions:</i> Additionally, sensitivity analysis and comparative analysis were conducted to check the robustness and flexibility of the system. Finally, the conclusion section determines the optimal weighted criteria for the MSC problem and identifies the best possible solutions for MSC using PLTS-based MCDM methodologies.https://www.mdpi.com/2305-6290/9/1/31supply chain managementmedicinal supply chainPLTSCRITICMOORA |
| spellingShingle | Alaa Fouad Momena Kamal Hossain Gazi Sankar Prasad Mondal Multi-Criteria Decision Analysis for Sustainable Medicinal Supply Chain Problems with Adaptability and Challenges Issues Logistics supply chain management medicinal supply chain PLTS CRITIC MOORA |
| title | Multi-Criteria Decision Analysis for Sustainable Medicinal Supply Chain Problems with Adaptability and Challenges Issues |
| title_full | Multi-Criteria Decision Analysis for Sustainable Medicinal Supply Chain Problems with Adaptability and Challenges Issues |
| title_fullStr | Multi-Criteria Decision Analysis for Sustainable Medicinal Supply Chain Problems with Adaptability and Challenges Issues |
| title_full_unstemmed | Multi-Criteria Decision Analysis for Sustainable Medicinal Supply Chain Problems with Adaptability and Challenges Issues |
| title_short | Multi-Criteria Decision Analysis for Sustainable Medicinal Supply Chain Problems with Adaptability and Challenges Issues |
| title_sort | multi criteria decision analysis for sustainable medicinal supply chain problems with adaptability and challenges issues |
| topic | supply chain management medicinal supply chain PLTS CRITIC MOORA |
| url | https://www.mdpi.com/2305-6290/9/1/31 |
| work_keys_str_mv | AT alaafouadmomena multicriteriadecisionanalysisforsustainablemedicinalsupplychainproblemswithadaptabilityandchallengesissues AT kamalhossaingazi multicriteriadecisionanalysisforsustainablemedicinalsupplychainproblemswithadaptabilityandchallengesissues AT sankarprasadmondal multicriteriadecisionanalysisforsustainablemedicinalsupplychainproblemswithadaptabilityandchallengesissues |