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SUPPLY CHAIN MANAGEMENT AND ANALYSIS OF PHARMACEUTICAL DISTRIBUTION MODELS IN PHARMACEUTICAL COMPANIES |
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| รหัสดีโอไอ | |
| Creator | Alireza Narenjian, Ahmad Riahi, Maryam Asadollahi Kheirabadi |
| Title | SUPPLY CHAIN MANAGEMENT AND ANALYSIS OF PHARMACEUTICAL DISTRIBUTION MODELS IN PHARMACEUTICAL COMPANIES |
| Contributor | - |
| Publisher | TuEngr Group |
| Publication Year | 2562 |
| Journal Title | International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies |
| Journal Vol. | 10 |
| Journal No. | 15 |
| Page no. | 10A15O: 1-15 |
| Keyword | Supply Chain Management, Risk Management, Drug, Top Supplier Selection Indexes, Fuzzy TOPSIS Method. |
| URL Website | http://tuengr.com/Vol10_15.html |
| Website title | ITJEMAST V10(15) 2019 @ TuEngr.com |
| ISSN | 2228-9860 |
| Abstract | The pharmaceutical industry is defined as a set of processes, operations, and organizations involved in the discovery, creation, and production of drugs. Given the extent of the drug supply chain, this article focuses on supplier selection and what factors should be considered to select a supplier in a supply chain to reduce the risk involved in the supply chain. This study seeks to understand the factors affecting the drug supply chain in the country. This research is practical and developmental in terms of goal and it is descriptive in terms of performance. The data collection method uses interviews and questionnaires. The content validity was used to determine the validity and reliability of the questionnaire and the professors and experts were asked about the relation of question with topic and the visibility and clarity of the question. Cronbach's alpha gives reliability estimation higher than 0.7 using SPSS software. Data were analyzed by factor analysis of SPSS software. MADM algorithm was used with Fuzzy TOPSIS method for weighting the components. In this study, according to risk reduction strategies in supply chain and consulting of supply chain professors and experts and pharmacy, a checklist was obtained for supplier selection with eight main indexes and 30 sub-indexes in the field of selecting top supplier and four main indexes and 9 sub-indexes in the field of influential environmental risks. Finally, seven main indexes "quality, flexibility, delivery, technology, communication, and Information technology system, cost and background" with 24 sub-indexes on top supplier selection and four main indexes "economic, political, natural and cultural/social disasters" with 8 sub-indexes in the field of environmental risks were obtained. This research can be used by pharmaceutical industry activists, professors, researchers, and students to improve the current status of supplier selection. |
