Open Access

ARTICLE

Supplier Selection Fuzzy Model in Supply Chain Management: Vietnamese Cafe Industry Case

by Chia-Nan Wang¹, Hoang Tuyet Nhi Thai^1,*, Nguyen Van Thanh²

1 Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, 80778, Taiwan
2 Faculty of Commerce, Van Lang University, Ho Chi Minh City, Vietnam

* Corresponding Author: Hoang Tuyet Nhi Thai. Email:

Computers, Materials & Continua 2022, 72(2), 2291-2304. https://doi.org/10.32604/cmc.2022.025477

Received 25 November 2021; Accepted 12 January 2022; Issue published 29 March 2022

Abstract

Supplier selection is a vital part of the supply chain and is also a current issue that concerns businesses today as supplier quality directly affects the operations of the organization. Choosing the right supplier can help businesses increase productivity, competitiveness in the market, and profits without having to lower the quality of the products. However, choosing a supplier is not a simple matter, it requires businesses to consider many aspects about their suppliers. Therefore, the goal of this study is to propose an integrated model consisting of two models: Fuzzy Analytics Network Process (Fuzzy-ANP) model and Weighted Aggregated Sum Product Assessment (WASPAS) to solve the problem above. The Fuzzy-ANP model was developed to evaluate the weightings of the supplier selection criteria, and the WASPAS Model was used to rank the suppliers. An example of supplier selection in the coffee industry in Vietnam was studied to validate the model, namely 5 main criteria, with 16 sub-criteria, and 7 suppliers. The model test results show that the Fuzzy ANP and WASPAS integration model was suitable. In future, these developing models can apply to other industries or integrate with other models.

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Keywords

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