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Performance Evaluation of Stochastic Multi-Echelon Inventory Systems : A Survey
Joint Authors
Source
Advances in Operations Research
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-34, 34 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-12-27
Country of Publication
Egypt
No. of Pages
34
Main Subjects
Information Technology and Computer Science
Abstract EN
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 widefspread 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.
American Psychological Association (APA)
Simchi-Levi, David& Zhao, Yao. 2011. Performance Evaluation of Stochastic Multi-Echelon Inventory Systems : A Survey. Advances in Operations Research،Vol. 2012, no. 2012, pp.1-34.
https://search.emarefa.net/detail/BIM-447688
Modern Language Association (MLA)
Simchi-Levi, David& Zhao, Yao. Performance Evaluation of Stochastic Multi-Echelon Inventory Systems : A Survey. Advances in Operations Research No. 2012 (2012), pp.1-34.
https://search.emarefa.net/detail/BIM-447688
American Medical Association (AMA)
Simchi-Levi, David& Zhao, Yao. Performance Evaluation of Stochastic Multi-Echelon Inventory Systems : A Survey. Advances in Operations Research. 2011. Vol. 2012, no. 2012, pp.1-34.
https://search.emarefa.net/detail/BIM-447688
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-447688