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Performance analysis of CONWIP systems with batch size constraints

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  • Kumar Satyam
  • Ananth Krishnamurthy

Abstract

Multi-product manufacturing systems operating under CONWIP control are often modeled as closed queuing networks with synchronization stations. Performance analysis of these systems can be challenging, especially when batch size constraints are explicitly considered. This research develops a new approach for evaluating the performance of these systems based on parametric characterizations and traffic process approximations. The approach explicitly models the effect of batch size constraints on the departure process and waiting times at the different stations in the network to derive new characterization equations. These equations are used to derive a set of linking equations that is solved using an iterative algorithm to obtain estimates of network performance. Numerical studies indicate that the proposed method is yields fairly accurate performance estimates and can be useful in evaluating tradeoffs that guide managerial decisions. Copyright Springer Science+Business Media, LLC 2013

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  • Kumar Satyam & Ananth Krishnamurthy, 2013. "Performance analysis of CONWIP systems with batch size constraints," Annals of Operations Research, Springer, vol. 209(1), pages 85-114, October.
    • Handle: RePEc:spr:annopr:v:209:y:2013:i:1:p:85-114:10.1007/s10479-011-0870-y
    DOI: 10.1007/s10479-011-0870-y
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    1. George Liberopoulos & Yves Dallery, 2000. "A unified framework for pull control mechanisms in multi‐stage manufacturing systems," Annals of Operations Research, Springer, vol. 93(1), pages 325-355, January.
    2. Maria Di Mascolo & Yannick Frein & Yves Dallery, 1996. "An Analytical Method for Performance Evaluation of Kanban Controlled Production Systems," Operations Research, INFORMS, vol. 44(1), pages 50-64, February.
    3. Mark L. Spearman & Michael A. Zazanis, 1992. "Push and Pull Production Systems: Issues and Comparisons," Operations Research, INFORMS, vol. 40(3), pages 521-532, June.
    4. Gabriel R. Bitran & Devanath Tirupati, 1988. "Multiproduct Queueing Networks with Deterministic Routing: Decomposition Approach and the Notion of Interference," Management Science, INFORMS, vol. 34(1), pages 75-100, January.
    5. Georg Krieg & Heinrich Kuhn, 2004. "Analysis of Multi-Product Kanban Systems with State-Dependent Setups and Lost Sales," Annals of Operations Research, Springer, vol. 125(1), pages 141-166, January.
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