Motivated by a situation observed by our industry partner, we test if changingdispatch methods within a job-shop can reduce the percentage of late jobs whilenot reducing the maximum lateness across all jobs, the two key performanceindicators (KPIs) of interest. Using data provided by our industry partner, weshow that the earliest operation due date (EODD) dispatch rule is the best rulefor them. In addition, we propose an alternative idea for random job shop data,the routing distribution, and we compare dispatching rules performance usingKPI frontiers under different routing distributions. We find that EODD is oneof several dispatching rule which consistently lie on the KPI frontier for differentjob routing distributions. We further show that using multiple dispatch rulesacross several job-shop departments does improve a job-shop’s performance onthe KPIs, though the improvement is small. Lastly, we leave the readers withsome insight into determining which dispatch rules should be considered fordifferent job-shops.
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Dispatching Work: Finding the best dispatching method for real job-shops
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