Flexible supplier selection and order allocation in the big data era with various quantity discounts

• Published in: PloS one Vol. 18; no. 3; p. e0283585
• Main Author: Wang, Qing
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 27.03.2023; Public Library of Science (PLoS)
• Subjects: Algorithms; Analysis; Big Data; Biology and Life Sciences; Component and supplier management; Costs; Decision making; Discounts; Dynamic programming; Ecology and Environmental Sciences; Engineering and Technology; Greedy algorithms; Integer programming; Knapsack problem; Logistics; Mathematical programming; Modelling; Optimization; Order processing; Physical Sciences; Research and Analysis Methods; Social Sciences; Suppliers; Supply chains; Vendor relations; China; Iran

This paper studies the flexible large-scale supplier selection and order allocation problem with various quantity discounts, i.e., no discount, all-unit discount, incremental discount, and carload discount. It fills a literature gap that models usually formulate one or seldom two types because of th...