Data envelopment analysis based decision model for optimal operator selection in CMS

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This paper presents a decision making approach based on data envelopment analysis (DEA) for determining the most efficient operator number and the efficient measurement of labor assignment in cellular manufacturing system (CMS). The DEA approach is performed by employing the average lead time, the average operator utilization as the output variables and using the number of operators, transfer batch size, demand level as the input variables. Both inputs and outputs are procured by means of simulation of CMS. The objective is to determine the labor assignment in CMS environment.


Original languageEnglish
Pages (from-to)800-810
JournalEuropean Journal of Operational Research
Publication statusPublished - 2005


  • Manpower planning, Data envelopment analysis, Multiple criteria decision making, Cellular manufacturing system, Simulation modeling

ID: 147865