Simulation-based metamodels for the analysis of dynamic due-date assignment in a flexible manufacturing system
AbstractThis 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.
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Bibliographic InfoArticle provided by Inderscience Enterprises Ltd in its journal Int. J. of Applied Management Science.
Volume (Year): 3 (2011)
Issue (Month): 4 ()
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Web page: http://www.inderscience.com/browse/index.php?journalID=286
flexible manufacturing systems; FMS performance; due date assignment; modelling; routing flexibility; sequencing flexibility; part sequencing rules; discrete-event simulation; applied management science.;
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