Vol.70, No.1, 2022, pp.1667-1681, doi:10.32604/cmc.2022.019833
OPEN ACCESS
ARTICLE
Improving Supply Chain Performance Through Supplier Selection and Order Allocation Problem
  • Chia-Nan Wang1, Ming-Cheng Tsou2,*, Chih-Hung Wang3, Viet Tinh Nguyen4, Pham Ngo Thi Phuong5
1 Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung, 80778, Taiwan
2 Department of Shipping Technology, National Kaohsiung University of Science and Technology, Kaohsiung, 80778, Taiwan
3 Department of International Business, Shih Chien University, Taipei, 80778, Taiwan
4 Faculty of Commerce, Van Lang University, Ho Chi Minh City, 70000, Vietnam
5 Faculty of Industrial Engineering and Management, International University, Ho Chi Minh City, 70000, Vietnam
* Corresponding Author: Ming-Cheng Tsou. Email:
(This article belongs to this Special Issue: Big Data for Supply Chain Management in the Service and Manufacturing Sectors)
Received 26 April 2021; Accepted 27 May 2021; Issue published 07 September 2021
Abstract
Suppliers play the vital role of ensuring the continuous supply of goods to the market 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 with multiple 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 problem under 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 the model 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 can make a good decision on supplier selection; therefore, the company can improve the quality and quantity of their final product. This is because, the best supplier can supply raw material using just-in-time application and reduce production risk on the manufacturing process.
Keywords
Supplier selection; multi-objective; linear programming; multi-price level; multi-product; fuzzy sets
Cite This Article
Wang, C., Tsou, M., Wang, C., Nguyen, V. T., Ngo, P. (2022). Improving Supply Chain Performance Through Supplier Selection and Order Allocation Problem. CMC-Computers, Materials & Continua, 70(1), 1667–1681.
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