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Simulation-based metamodels for the analysis of dynamic due-date assignment in a flexible manufacturing system

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  • O.A. Joseph
  • R. Sridharan

Abstract

This paper investigates the effects of dynamic due-date assignment models (DDDAMs), routing flexibility levels (RFLs), sequencing flexibility levels (SFLs) and part sequencing rules (PSRs) on the performance of a flexible manufacturing system (FMS). The existing DDDAMs considered are dynamic processing plus waiting (DPPW) time and dynamic total work (DTWK) content. A new model known as dynamically estimated flow allowance (DEFA) has also been developed and investigated. The routing flexibility of the system and the sequencing flexibility of parts are both set at three levels. A discrete-event simulation model of the FMS is used as a test-bed for experimentation. The performance measures evaluated are mean tardiness, percentage of tardy parts and mean flow allowance. The statistical analysis of the simulation results reveals that there are significant interactions among DDDAMs, RFLs, SFLs and PSRs. Multiple regression-based metamodels have been developed using the simulation results. The proposed DEFA model provides the minimum percentage of tardy parts.

Suggested Citation

  • O.A. Joseph & R. Sridharan, 2011. "Simulation-based metamodels for the analysis of dynamic due-date assignment in a flexible manufacturing system," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 3(4), pages 341-367.
    • Handle: RePEc:ids:injams:v:3:y:2011:i:4:p:341-367
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    Cited by:

    1. Toly Chen & Hsin-Chieh Wu, 2017. "A new cloud computing method for establishing asymmetric cycle time intervals in a wafer fabrication factory," Journal of Intelligent Manufacturing, Springer, vol. 28(5), pages 1095-1107, June.

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