A Fuzzy Bi-objective Mathematical Model for Perishable Medical Goods Supply Chain Network Considering Crisis Situations: An Empirical Study.
In case of crisis, the salvation of injuries depends on the timely provision of medical goods, relief supplies, and equipment. The aim of this study is to present a mathematical model for the supply chain network of perishable medical goods in crisis situation considering the uncertain environment....
| Publicado en: | Health Services Insights pp. 1 - 25 |
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| Autores principales: | , , , |
| Formato: | algorithm equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
11/2/2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=180624305&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 180624305 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11786329 B10H jtl: Health Services Insights issn: 11786329 maglogo: Y pubinfo: dt: 11/2/2024 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 180624305 180624305 180624305 10.1177/11786329241288772 180624305 ppf: 1 ppct: 24 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A Fuzzy Bi-objective Mathematical Model for Perishable Medical Goods Supply Chain Network Considering Crisis Situations: An Empirical Study. aug: au: Shahrabadi, Fereshteh Kia, Hamidreza Heidari, Ali Khalilzadeh, Mohammad affil: School of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran sug: subj: Drug Storage Evaluation Equipment and Supplies Supply and Distribution Disaster Planning Health Services Accessibility Materials Management Models, Theoretical Human Descriptive Statistics Empirical Research Decision Making Drugs Healthcare Supply Chain Humanitarian Aid Uncertainty Questionnaires ab: In case of crisis, the salvation of injuries depends on the timely provision of medical goods, relief supplies, and equipment. The aim of this study is to present a mathematical model for the supply chain network of perishable medical goods in crisis situation considering the uncertain environment. In this paper, a three-level supply chain including suppliers, intermediate warehouses, and final customers is developed for perishable medical items. The uncertainty of customer demand for service and the spent time in the intermediate warehouses are considered using the exponential distribution functions. Also, it is assumed that the life-cycle of perishable medical goods follow the Weibull distribution function. The model attempts to minimize the total costs of the supply chain and total presence time of perishable items in the whole chain. The LP-Metric method is employed for solving small-sized problems. Due to the NP-Hardness of the problem, the modified Multi-objective Particle Swarm Optimization (MOPSO) and Non-dominated Sorting Genetic Algorithm (NSGA-II) are utilized as 2 well-known and efficient meta-heuristic algorithms for solving large-sized problems. The findings indicate that the meta-heuristic algorithms are efficient in achieving close to the optimal solution for large-size problems in a reasonable time. Also, the results demonstrate that NSGA-II outperforms MOPSO in terms of the high quality solution. Finally, the applicability of the model to real-world problems is demonstrated using a real case study. This paper can assist the planners and decision-makers of perishable drugs supply chain networks in crisis conditions with on-time supplying and distributing the required emergency items. pubtype: Academic Journal doctype: algorithm equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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