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Effects of Yield and Lead-Time Uncertainty on Retailer-Managed and Vendor-Managed Inventory Management

Authors
Lee, SoonkyoKim, Young JooCheong, TaesuYoo, Seung Ho
Issue Date
2019
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Yield; lead-time; vendor-managed inventory; retailer-managed inventory; decentralized supply chain; optimal production quantity; optimal order quantity; single-period inventory
Citation
IEEE ACCESS, v.7, pp.176051 - 176064
Indexed
SCIE
SCOPUS
Journal Title
IEEE ACCESS
Volume
7
Start Page
176051
End Page
176064
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/68955
DOI
10.1109/ACCESS.2019.2957595
ISSN
2169-3536
Abstract
Generally, there are various elements of uncertainty in a supply chain. In particular, uncertainties in lead time, demand, and yield are very important in the semiconductor industry. Higher uncertainty can lead to bullwhip effects that can undermine the performance of the entire supply chain. This study examines the relationship between uncertainty in the supply chain and the outcome of inventory replenishment policies. Specifically, we analyze the effects of well-known uncertainties on manufacturer production quantity and retailer order quantity decisions in a decentralized supply chain. In addition, we also analyze and compare the effects of these uncertainties for the retailer-managed inventory and the vendor-managed inventory policies. Using numerical experiments, a comparative analysis of the two alternatives is conducted to determine suitable options for improving supply chain performance. In general, the performance of vendor-managed inventory is better than that of retailer-managed inventory, but we observe from the numerical experiments that there exist circumstances under which retailer-managed inventory shows better supply chain performance.
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