Evaluation of dispatching rules in manufacturing using simulation and data envelopment analysis

Abdulaziz Ahmed, Mohammed Al-Mashraie, Faisal Aqlan

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In manufacturing environments, many decisions are involved to improve the production systems. An important decision that can impact the performance of a production system is the selection of appropriate dispatching rules for parts and/or products. Selecting the dispatching rules involves multiple conflicting objectives such as maximizing machine utilization and profit and minimizing work-in-process (WIP). In this research, a hybrid push-pull production system is considered which combines push and pull production control strategies. A simulation model is developed for the system to account for the uncertainty in processing times and order arrivals. eight dispatching rules are considered: earliest due date (EDD), fist-in-fist-out (FIFO), last-in-first-out (LIFO), shortest processing time (SPT), longest processing time (LPT), longest imminent processing time (LIPT), shortest imminent processing time (LIPT), least work next queue (LWNQ). Data envelopment analysis (DEA) is then used to evaluate the dispatching rules based on lead time, average WIP, total profit and tardiness. For the manufacturing system considered in this study, it was found that the best dispatching rule is the LPT and the least efficient is the LIFO. The results can be useful for engineers, production managers, supervisors and directors of production operations.

Original languageEnglish (US)
Title of host publicationIIE Annual Conference and Expo 2015
PublisherInstitute of Industrial Engineers
Number of pages10
ISBN (Electronic)9780983762447
StatePublished - Jan 1 2015
EventIIE Annual Conference and Expo 2015 - Nashville, United States
Duration: May 30 2015Jun 2 2015

Publication series

NameIIE Annual Conference and Expo 2015


OtherIIE Annual Conference and Expo 2015
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering


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