Evaluating the resilience of the drug supply chain based on SWARA and CoCoSo multi criteria decision making approach with type 1 and interval type 2 fuzzy data (case study: Bojnord drug supply chain)
Purpose: Based on the uncertainty in the supply chains, one of the important issues for public health is to assess the resilience of drug supply chains. The purpose of the current research is to determine and weigh the effective criteria for the resilience of the supply chain and the ranking of drug...
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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_188158_f47077995d5ed40eaab4fca337db0fb5.pdf |
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| author | Fatemeh Bahman Alireza Shahraki Sayyid Ali Banihashemi |
| author_facet | Fatemeh Bahman Alireza Shahraki Sayyid Ali Banihashemi |
| author_sort | Fatemeh Bahman |
| collection | DOAJ |
| description | Purpose: Based on the uncertainty in the supply chains, one of the important issues for public health is to assess the resilience of drug supply chains. The purpose of the current research is to determine and weigh the effective criteria for the resilience of the supply chain and the ranking of drug distribution companies based on the criteria.Methodology: The current research is quantitative-qualitative and applied. The statistical population was 83 people, and the sample was 68 people based on Morgan's table with a margin of error of 5%, which were selected by simple random sampling. Data collection was implemented with field methods, library studies, interviews and questionnaires. The questionnaire was approved by experts, and its reliability with Cronbach's alpha coefficient of 0.965. The percentage of personal characteristics was calculated using SPSS-26 software. Due to linguistic uncertainty, the weighting of the criteria was done with the fuzzy SWARA decision-making method and the ranking of the options for more accurate evaluation was performed by the interval type-2 fuzzy CoCoSo method in Excel software.Findings: The identified criteria in order of importance are knowledge management, agility, readiness and prediction, management method, supply chain design and structure, visibility and control, adaptability, collaboration, complementarity, innovation, complexity management, flexibility, uncertainty in the number of changes, and integration. The top three drug distribution companies are DarouPakhsh, AdoraTeb, and Ferdous, respectively.Originality/Value: The weighting of the criteria indicates which criteria have a greater impact on the resilience of the supply chain. Therefore, the company will be given a higher priority if it pays attention to criteria with higher weights. |
| format | Article |
| id | doaj-art-af45d6ab07264ed08da9053a57c0d17a |
| 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-af45d6ab07264ed08da9053a57c0d17a2025-01-30T15:03:40ZfasAyandegan Institute of Higher Education, Tonekabon,تصمیم گیری و تحقیق در عملیات2538-50972676-61592024-06-019116719310.22105/dmor.2024.410472.1779188158Evaluating the resilience of the drug supply chain based on SWARA and CoCoSo multi criteria decision making approach with type 1 and interval type 2 fuzzy data (case study: Bojnord drug supply chain)Fatemeh Bahman0Alireza Shahraki1Sayyid Ali Banihashemi2Department of Industrial Engineering, University of Sistan and Baluchestan, Zahedan, Iran.Department of Industrial Engineering, University of Sistan and Baluchestan, Zahedan, Iran.Department of Industrial Engineering, Payame Noor University, Tehran, Iran.Purpose: Based on the uncertainty in the supply chains, one of the important issues for public health is to assess the resilience of drug supply chains. The purpose of the current research is to determine and weigh the effective criteria for the resilience of the supply chain and the ranking of drug distribution companies based on the criteria.Methodology: The current research is quantitative-qualitative and applied. The statistical population was 83 people, and the sample was 68 people based on Morgan's table with a margin of error of 5%, which were selected by simple random sampling. Data collection was implemented with field methods, library studies, interviews and questionnaires. The questionnaire was approved by experts, and its reliability with Cronbach's alpha coefficient of 0.965. The percentage of personal characteristics was calculated using SPSS-26 software. Due to linguistic uncertainty, the weighting of the criteria was done with the fuzzy SWARA decision-making method and the ranking of the options for more accurate evaluation was performed by the interval type-2 fuzzy CoCoSo method in Excel software.Findings: The identified criteria in order of importance are knowledge management, agility, readiness and prediction, management method, supply chain design and structure, visibility and control, adaptability, collaboration, complementarity, innovation, complexity management, flexibility, uncertainty in the number of changes, and integration. The top three drug distribution companies are DarouPakhsh, AdoraTeb, and Ferdous, respectively.Originality/Value: The weighting of the criteria indicates which criteria have a greater impact on the resilience of the supply chain. Therefore, the company will be given a higher priority if it pays attention to criteria with higher weights.https://www.journal-dmor.ir/article_188158_f47077995d5ed40eaab4fca337db0fb5.pdfdrug supply chainfuzzy swarainterval type-2 fuzzy cocosomulti-criteria decision-making methodsresilient supply chain |
| spellingShingle | Fatemeh Bahman Alireza Shahraki Sayyid Ali Banihashemi Evaluating the resilience of the drug supply chain based on SWARA and CoCoSo multi criteria decision making approach with type 1 and interval type 2 fuzzy data (case study: Bojnord drug supply chain) تصمیم گیری و تحقیق در عملیات drug supply chain fuzzy swara interval type-2 fuzzy cocoso multi-criteria decision-making methods resilient supply chain |
| title | Evaluating the resilience of the drug supply chain based on SWARA and CoCoSo multi criteria decision making approach with type 1 and interval type 2 fuzzy data (case study: Bojnord drug supply chain) |
| title_full | Evaluating the resilience of the drug supply chain based on SWARA and CoCoSo multi criteria decision making approach with type 1 and interval type 2 fuzzy data (case study: Bojnord drug supply chain) |
| title_fullStr | Evaluating the resilience of the drug supply chain based on SWARA and CoCoSo multi criteria decision making approach with type 1 and interval type 2 fuzzy data (case study: Bojnord drug supply chain) |
| title_full_unstemmed | Evaluating the resilience of the drug supply chain based on SWARA and CoCoSo multi criteria decision making approach with type 1 and interval type 2 fuzzy data (case study: Bojnord drug supply chain) |
| title_short | Evaluating the resilience of the drug supply chain based on SWARA and CoCoSo multi criteria decision making approach with type 1 and interval type 2 fuzzy data (case study: Bojnord drug supply chain) |
| title_sort | evaluating the resilience of the drug supply chain based on swara and cocoso multi criteria decision making approach with type 1 and interval type 2 fuzzy data case study bojnord drug supply chain |
| topic | drug supply chain fuzzy swara interval type-2 fuzzy cocoso multi-criteria decision-making methods resilient supply chain |
| url | https://www.journal-dmor.ir/article_188158_f47077995d5ed40eaab4fca337db0fb5.pdf |
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