Selecting an Optimal Production Order and Its Corresponding Configuration in a Reconfigurable Manufacturing System with Multiple Product Groups

National audienceIntegrated process planning and scheduling (IPPS) is a manufacturing strategy that considers process planning and scheduling as an integrated function rather than two separated functions performed sequentially. In this paper, we propose a new heuristic to IPPS problem for reconfigurable manufacturing systems (RMS). An RMS consists mainly of reconfigurable machine tools (RMTs), each with multiple configurations, and can perform different operations with different capacities. The proposed heuristic takes into account the multi-configuration nature of machines to integrate both process planning and scheduling. To illustrate the applicability and the efficiency of the proposed heuristic, a numerical example is presented where the heuristic is compared to a classical sequential process planning and scheduling strategy using a discrete-event simulation framework. The results show an advantage of the proposed heuristic over the sequential process planning and scheduling strategy

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Configuration design in scalable reconfigurable manufacturing systems (RMS); a case of single-product flow line (SPFL)

Moghaddam

Houshmand

Valilai

2017

International Journal of Production Research

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Selecting an Optimal Production Order and Its Corresponding Configuration in a Reconfigurable Manufacturing System with Multiple Product Groups

Cited by 11 publications

References 13 publications

An Adapted NSGA-II Algorithm for a Reconfigurable Manufacturing System (RMS) Design Under Machines Reliability Constraints

An Adapted NSGA-II Algorithm for a Reconfigurable Manufacturing System (RMS) Design Under Machines Reliability Constraints

A new heuristic for integrated process planning and scheduling in reconfigurable manufacturing systems

Configuration design in scalable reconfigurable manufacturing systems (RMS); a case of single-product flow line (SPFL)

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