Data envelopment analysis based decision model for optimal operator allocation in CMS
Data envelopment analysis based decision model for optimal operator allocation in CMS
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DOI：
10.1016/j.ejor.2004.01.038
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发表时间：
2005-08
期刊：
影响因子：
--
通讯作者：
Tijen Ertay;D. Ruan
中科院分区：
文献类型：
--
作者：
Tijen Ertay;D. Ruan
提出了一种基于数据包络分析（DEA）的单元化制造系统（CMS）中最有效的操作人员数量和劳动力分配有效性度量的决策方法。DEA方法以平均提前期、平均操作工利用率为输出变量，以操作工数量、转移批量、需求水平为输入变量。输入和输出都是通过CMS的模拟来获得的。目标是确定CMS环境下的劳动力分配。
This paper presents a decision making approach based on data envelopment analysis (DEA) for determining the most efficient number of operators 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.