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A directed acyclic graph representation of routing manufacturing flexibility

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  • Borenstein, Denis

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  • Borenstein, Denis, 2000. "A directed acyclic graph representation of routing manufacturing flexibility," European Journal of Operational Research, Elsevier, vol. 127(1), pages 78-93, November.
    • Handle: RePEc:eee:ejores:v:127:y:2000:i:1:p:78-93
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    References listed on IDEAS

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    1. Fernando F. Suarez & Michael A. Cusumano & Charles H. Fine, 1996. "An Empirical Study of Manufacturing Flexibility in Printed Circuit Board Assembly," Operations Research, INFORMS, vol. 44(1), pages 223-240, February.
    2. Chandra, Pankaj & Tombak, Mihkel M., 1992. "Models for the evaluation of routing and machine flexibility," European Journal of Operational Research, Elsevier, vol. 60(2), pages 156-165, July.
    3. Averill M. Law & John S. Carson, 1979. "A Sequential Procedure for Determining the Length of a Steady-State Simulation," Operations Research, INFORMS, vol. 27(5), pages 1011-1025, October.
    4. Donald Gerwin, 1993. "Manufacturing Flexibility: A Strategic Perspective," Management Science, INFORMS, vol. 39(4), pages 395-410, April.
    5. Gupta, Yash P. & Goyal, Sameer, 1989. "Flexibility of manufacturing systems: Concepts and measurements," European Journal of Operational Research, Elsevier, vol. 43(2), pages 119-135, November.
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    Cited by:

    1. Zhengcai Cao & Lijie Zhou & Biao Hu & Chengran Lin, 2019. "An Adaptive Scheduling Algorithm for Dynamic Jobs for Dealing with the Flexible Job Shop Scheduling Problem," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(3), pages 299-309, June.
    2. Ströhle, Philipp & Flath, Christoph M., 2016. "Local matching of flexible load in smart grids," European Journal of Operational Research, Elsevier, vol. 253(3), pages 811-824.
    3. Chang, An-Yuan, 2007. "On the measurement of routing flexibility: A multiple attribute approach," International Journal of Production Economics, Elsevier, vol. 109(1-2), pages 122-136, September.
    4. Xuan Jing & Xifan Yao & Min Liu & Jiajun Zhou, 2024. "Multi-agent reinforcement learning based on graph convolutional network for flexible job shop scheduling," Journal of Intelligent Manufacturing, Springer, vol. 35(1), pages 75-93, January.

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