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Performance Evaluation of Stochastic Multi-Echelon Inventory Systems: A Survey

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  • David Simchi-Levi
  • Yao Zhao

Abstract

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.

Suggested Citation

  • David Simchi-Levi & Yao Zhao, 2012. "Performance Evaluation of Stochastic Multi-Echelon Inventory Systems: A Survey," Advances in Operations Research, Hindawi, vol. 2012, pages 1-34, December.
    • Handle: RePEc:hin:jnlaor:126254
    DOI: 10.1155/2012/126254
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    Cited by:

    1. Johnson, Andrew & Carnovale, Steven & Song, Ju Myung & Zhao, Yao, 2021. "Drivers of fulfillment performance in mission critical logistics systems: An empirical analysis," International Journal of Production Economics, Elsevier, vol. 237(C).
    2. Kwon Gi Mun & Yao Zhao & Raza Ali Rafique, 2021. "Designing Hydro Supply Chains for Energy, Food, and Flood," Manufacturing & Service Operations Management, INFORMS, vol. 23(2), pages 274-293, March.
    3. Yazdekhasti, Amin & sharifzadeh, Shila & Ma, Junfeng, 2022. "A two-echelon two-indenture warranty distribution network development and optimization under batch-ordering inventory policy," International Journal of Production Economics, Elsevier, vol. 249(C).

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