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.
Original language | English |
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Article number | 8922591 |
Pages (from-to) | 176051-176064 |
Number of pages | 14 |
Journal | IEEE Access |
Volume | 7 |
DOIs | |
Publication status | Published - 2019 |
Bibliographical note
Funding Information:This work was supported in part by the Korea Institute for Advancement of Technology (KIAT) grant funded by the Korea Government (MOTIE) (The Competency Development Program for Industry Specialist) under Grant P0008691, and in part by the Research and Development Program of the Korea Railroad Research Institute.
Publisher Copyright:
© 2013 IEEE.
Keywords
- Yield
- decentralized supply chain
- lead-time
- optimal order quantity
- optimal production quantity
- retailer-managed inventory
- single-period inventory
- vendor-managed inventory
ASJC Scopus subject areas
- General Computer Science
- General Materials Science
- General Engineering