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Data envelopment analysis for dispatching rule selection
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DOI：10.1080/095372899232984.png)
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Abstract
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Scheduling techniques and dispatching rules are widely studied because of their strategic role in achieving optimal management of manufacturing systems. In the case of flexible manufacturing, it is essential to evaluate the effects of different dispatching rules to foresee the overall system performance. This paper addresses the issue of performance measurement and comparison of different dispatching rules with respect to several possible evaluation criteria by using data envelopment analysis (DEA) Based on simulation data retrieved from a recent study on dispatching rules in a dynamic hybrid flow shop environment, DEA methodology seems a suitable technique for ranking competing dispatching rules according to the set of selected performance criteria.
Keywords:
multi-criteria analysis
scheduling
hybrid flow shop
production planning
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