HA424 : Identification of evaluation criteria and ranking of drug suppliers in coronary crisis conditions with the approach of fuzzy multi-criteria decision-making methods (Case study: Khorasan Razavi province)
Thesis > Central Library of Shahrood University > Industrial Engineering & Management > MSc > 2023
Authors:
Mohammadhosein Vahdataparast [Author], Mojtaba Ghiyasi[Supervisor], Seyed Hosein Seyedi[Advisor]
Abstarct: The pharmaceutical industry is always considered one of the most important industries that, in addition to high costs, has an impact on human life and health. There are different sectors in this industry, one of the most important sectors is the drug supply chain, which includes the stages of production or import to the stage of delivering the drug to the final consumer. In any supply chain, the issue of supplier selection is very important; Because it directly affects things like cost, timeliness, quality, etc. The pharmaceutical industry is no exception, and supplier selection is considered one of its most important and effective processes. In December 2019, shortly after the outbreak of Covid-19, which was considered a global crisis, an epidemic occurred and quickly involved all countries and nations. With the onset of the Corona crisis, the issue of medicine and its supply became one of the biggest and most challenging issues in the world. Therefore, the current research was studied in Razavi Khorasan province of Iran. In the first step of the research, after studying past studies and interviewing experts, using the crisis management category, 34 criteria were identified in 4 sections; In the following, using the design and distribution of fuzzy Delphi questionnaire, 13 criteria were screened. In the next step, using the fuzzy DANP method, the criteria were weighted and the causal relationships of the criteria were determined, and as a result, the persuasion power of the company representatives had the highest value. In the final step of the research, using four methods, fuzzy TOPPSIS, fuzzy ARAS, fuzzy COPRAS and fuzzy SECA criteria were ranked and their results were combined using the COPLAND method, as a result of which, Daroopakhsh got the best rank.
Keywords:
#Keywords: Identify criteria #Supplier selection #pharmaceutical industry #Covid-19 #Crisis supply chain #multi-criteria decision making #Fuzzy DANP. Keeping place: Central Library of Shahrood University
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