TY - JOUR
T1 - Data envelopment analysis based decision model for optimal operator selection in CMS
AU - Ruan, Da
AU - Ertay, Tijen
A2 - Carlé, Benny
A2 - Hardeman, Frank
N1 - Score = 10
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
KW - Manpower planning
KW - Data envelopment analysis
KW - Multiple criteria decision making
KW - Cellular manufacturing system
KW - Simulation modeling
UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_27286
UR - http://knowledgecentre.sckcen.be/so2/bibref/2720
U2 - 10.1016/j.ejor.2004.01.038
DO - 10.1016/j.ejor.2004.01.038
M3 - Article
VL - 164
SP - 800
EP - 810
JO - European Journal of Operational Research
JF - European Journal of Operational Research
ER -