Optimal joint replenishment policy for multiple non-instantaneous deteriorating items
Author:
Affiliation:
1. School of Management, Huazhong University of Science and Technology, Wuhan, China
Funder
National Natural Science Foundation of China
National Natural Science Foundation Program of China
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2016.1276306
Reference49 articles.
1. Computational complexity of uncapacitated multi-echelon production planning problems
2. Use of genetic algorithms to solve production and operations management problems: A review
3. Review of inventory systems with deterioration since 2001
4. An EOQ model with deteriorating items under inflation when supplier credits linked to order quantity
5. An EOQ model for deteriorating items under supplier credits linked to ordering quantity
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