Publication:
Sustainable Supplier Selection Model in Supply Chains During the COVID-19 Pandemic
Sustainable Supplier Selection Model in Supply Chains During the COVID-19 Pandemic
| datacite.subject.fos | oecd::Social sciences::Economics and Business | |
| dc.contributor.author | Chia-Nan Wang | |
| dc.contributor.author | Chao-Fen Pan | |
| dc.contributor.author | Viet Tinh Nguyen | |
| dc.contributor.author | Syed Tam Husain | |
| dc.date.accessioned | 2022-11-02T00:51:51Z | |
| dc.date.available | 2022-11-02T00:51:51Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | As global supply chains become more developed and complicated, supplier quality has become increasingly influential on the competitiveness of businesses during the Covid-19 pandemic. Consequently, supplier selection is an increasingly important process for any business around the globe. Choosing a supplier is a complex decision that can result in lower procurement costs and increased profits without increasing the cost or lowering the quality of the product. However, these decision-making problems can be complicated in caseswithmultiple potential suppliers.Vietnam’s textile and garment industry, for example, has made rapid progress in recent years but is still facing great difficulties as the supply of raw materials and machinery depends heavily on foreign countries. Therefore, it is extremely important for textile and garment manufacturing companies in Vietnam to implement an effective supplier evaluation and selection process. While multicriteria decision-making models are frequently employed to assist with supplier evaluation and selection problems, few of these models consider the problem under the condition of a fuzzy decision-making environment. The aim of this paper is to create a hybrid MCDM model using the Fuzzy Analytical Hierarchy Process (FAHP) model and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to assist the supplier selection process in the garment industry in a fuzzy decision-making environment. In this study, the FAHP method is used to evaluate the performance and the weight of each criterion. TOPSIS is then used to rank all potential suppliers. The proposed model is then applied to a real-world case study to demonstrate both the process of calculation as well as its real-world applicability. The results from the case study provide empirical evidence that the model is feasible. The proposed approach can also be used in combination with other MCDM models to better support decision makers and can be modified to be applied in similar supplier selection processes for different industries. | |
| dc.identifier.doi | 10.32604/cmc.2022.020206 | |
| dc.identifier.uri | http://repository.vlu.edu.vn:443/handle/123456789/549 | |
| dc.language.iso | en_US | |
| dc.relation.ispartof | Computers, Materials & Continua | |
| dc.relation.issn | 1546-2226 | |
| dc.subject | "MCDM model | |
| dc.subject | FAHP | |
| dc.subject | fuzzy theory | |
| dc.subject | TOPSIS | |
| dc.subject | garment industry | |
| dc.subject | covid-19" | |
| dc.title | Sustainable Supplier Selection Model in Supply Chains During the COVID-19 Pandemic | |
| dc.type | journal-article | |
| dspace.entity.type | Publication | |
| oaire.citation.issue | 2 | |
| oaire.citation.volume | 70 |
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