Publication:
Improving Supply Chain Performance Through Supplier Selection and Order Allocation Problem

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datacite.subject.fos oecd::Social sciences::Economics and Business
dc.contributor.author Chia-Nan Wang
dc.contributor.author Ming-Cheng Tsou
dc.contributor.author Chih-Hung Wang
dc.contributor.author Viet Tinh Nguyen
dc.contributor.author Pham Ngo Thi Phuong
dc.date.accessioned 2022-11-02T00:54:05Z
dc.date.available 2022-11-02T00:54:05Z
dc.date.issued 2022
dc.description.abstract Suppliers play the vital role of ensuring the continuous supply of goods to themarket for businesses. If businesses do not maintain a strong bond with their suppliers, they may not be able to secure a steady supply of goods and products for their customers. As a result of failure to deliver products, the production and business activities of the business can be delayed which leads to the loss of customers. Normally, each trading enterprise will have a variety of commodity supply chains withmultiple suppliers. Suppliers play an important role and contribute to the value of the entire supply chain. Should any supplier encounters a problem, the whole supply chain of businesses will be affected and could lead to not guaranteeing the stable supply to the market. Thus, suppliers can be seen as a threat to businesses where they have the ability to increase input prices or decrease the quality of the required products and services they provide. The quantity of the business, and the supply lead time directly affect the operations and reduce the profitability of the business. The paper mainly focuses on the supplier selection problemunder a variety of price level and product families when using a two-phase fuzzy multi-objective linear programming. The objectives of the proposed model are to minimize the total purchasing and ordering cost in order to reduce the quantity of defective materials and the late-delivery components from suppliers. Moreover, the piecewise linear membership function is applied in themodel to determine an optimal solution which is based on the requirement of decision makers under their fuzzy environment. The results of this study can be applied in various business environment and provide a reliable decision tool for choosing potential suppliers relating to these objectives. Based on the results, the company canmake a good decision on supplier selection; therefore, the company can improve the quality and quantity of their final product
dc.identifier.doi 10.32604/cmc.2022.019833
dc.identifier.uri http://repository.vlu.edu.vn:443/handle/123456789/552
dc.language.iso en_US
dc.relation.ispartof Computers, Materials & Continua
dc.relation.issn 1546-2226
dc.subject "Supplier selection
dc.subject multi-objective
dc.subject linear programming
dc.subject multiprice level
dc.subject multi-product
dc.subject fuzzy sets"
dc.title Improving Supply Chain Performance Through Supplier Selection and Order Allocation Problem
dc.type journal-article
dspace.entity.type Publication
oaire.citation.issue 1
oaire.citation.volume 70
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Journal Articles - Business and Management - 2022