Performance evaluation of stochastic multi-echelon inventory systems: a survey
type: Item
instance of: scholarly article
title: Performance evaluation of stochastic multi-echelon inventory systems: a survey
zbMATH Open document ID: 1233.90047
DOI: 10.1155/2012/126254
author: David Simchi-Levi
author: Yao Zhao
published in: Advances in Operations Research
publication date: 2012-03-08T00:00:00Z
review text: Summary: Globalization, product proliferation, and fast product innovation have significantly increased the complexities of supply chains in many industries. One of the most important advancements of supply chain management in recent years is the development of models and methodologies for controlling inventory in general supply networks under uncertainty and their widespread applications to industry. These developments are based on three generic methods: the queueing-inventory method, the lead-time demand method and the flow-unit method. In this paper, we compare and contrast these methods by discussing their strengths and weaknesses, their differences and connections, and showing how to apply them systematically to characterize and evaluate various supply networks with different supply processes, inventory policies, and demand processes. Our objective is to forge links among research strands on different methods and various network topologies so as to develop unified methodologies.
Mathematics Subject Classification ID: 90B05
zbMATH DE Number: 6013019
Wikidata QID: Q58698792
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/126254
OpenAlex ID: W2060729553
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DBLP publication ID: journals/advor/Simchi-LeviZ12