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A Game Analysis of Standardization of Aquatic Production Enterprises and Cold Chain Logistics Enterprises Read chapter Read first chapter

2015 | OriginalPaper | Chapter

A Multi-echelon Inventory Control Model with Random Leadtime and Stochastic Demand

Authors : Liang Zhao, Hongjie Lan

Published in: LISS 2014

Publisher: Springer Berlin Heidelberg

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Abstract

Multi-echelon inventory control is aimed at coordinate the inventory levels in the supply chain nodes, which can help reach the optimal operating strategy of the whole supply chain. On the basis of previous studies, this paper considers a three-echelon inventory control model with random leadtime and stochastic demand, which can be more practical. This paper discuss a three-echelon distribution inventory system with a central warehouse, wholesalers, A retailers (large and medium retailers) and B retailers (small retailers), which are all approximated by different types of distribution. The system is controlled by continuous review installation stock (R, Q) policies. The model is illustrated by numerical examples and sensitivity analysis is conducted.

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previous chapter Supply Chain Coordination based on Effort and Service Level with False Failure Returns
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Literature
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David SL, Zhao Y (2012) Performance evaluation of stochastic multi-echelon inventory systems: a survey. Int J Hindawi Publ Corp Adv Oper Res 10:1155
Gumus AT, Guneri AF (2009) A multi-echelon inventory management framework for stochastic and fuzzy supply chains. Int J Expert Syst Appl 36(3):5565–5575CrossRef
Gumus AT, Guneri AF (2010) A new methodology for multi-echelon inventory management in stochastic and neuro-fuzzy environments. Int J IJPE 128(1):248–260
Jianchun C, Yuzhong Y (2010) Multi-echelon inventory system optimization with random leadtime. Int J Stat Decis (3):65–68
Zhou W et al (2012) A multi-product multi-echelon inventory control model with joint replenishment strategy. Int J Appl Math Model 4(54):2039–2050
Metadata
Title
A Multi-echelon Inventory Control Model with Random Leadtime and Stochastic Demand
Authors
Liang Zhao
Hongjie Lan
Copyright Year
2015
Publisher
Springer Berlin Heidelberg
Book
LISS 2014

Print ISBN: 978-3-662-43870-1

Electronic ISBN: 978-3-662-43871-8

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-662-43871-8_193