TY - JOUR
T1 - An integrated fuzzy simulation-fuzzy data envelopment analysis algorithm for job-shop layout optimization
T2 - The case of injection process with ambiguous data
AU - Azadeh, A.
AU - Moghaddam, M.
AU - Asadzadeh, S. M.
AU - Negahban, A.
N1 - Funding Information:
The authors would like to acknowledge the financial support of University of Tehran for this research under grant number 8106013/1/04 .
PY - 2011/11
Y1 - 2011/11
N2 - This paper puts forward an integrated fuzzy simulation-fuzzy data envelopment analysis (FSFDEA) algorithm to cope with a special case of single-row facility layout problem (SRFLP). Discrete-event-simulation, a powerful tool for analyzing complex and stochastic systems, is employed for modeling different layout formations. Afterwards, a range-adjusted measure (RAM) is used as a data envelopment analysis (DEA) model for ranking the simulation results and finding the optimal layout design. Due to ambiguousness associated with the processing times, fuzzy sets theory is incorporated into the simulation model. Since the results of simulation are in the form of possibility distributions, the DEA model is treated on a fuzzy basis; therefore, a recent possibilistic programming approach is used to convert the fuzzy DEA model to an equivalent crisp one. The proposed FSFDEA algorithm is capable of modeling and optimizing small-sized SRFLP's in stochastic, uncertain, and non-linear environments. The solution quality is inspected through a real case study in a refrigerator manufacturing company.
AB - This paper puts forward an integrated fuzzy simulation-fuzzy data envelopment analysis (FSFDEA) algorithm to cope with a special case of single-row facility layout problem (SRFLP). Discrete-event-simulation, a powerful tool for analyzing complex and stochastic systems, is employed for modeling different layout formations. Afterwards, a range-adjusted measure (RAM) is used as a data envelopment analysis (DEA) model for ranking the simulation results and finding the optimal layout design. Due to ambiguousness associated with the processing times, fuzzy sets theory is incorporated into the simulation model. Since the results of simulation are in the form of possibility distributions, the DEA model is treated on a fuzzy basis; therefore, a recent possibilistic programming approach is used to convert the fuzzy DEA model to an equivalent crisp one. The proposed FSFDEA algorithm is capable of modeling and optimizing small-sized SRFLP's in stochastic, uncertain, and non-linear environments. The solution quality is inspected through a real case study in a refrigerator manufacturing company.
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U2 - 10.1016/j.ejor.2011.05.015
DO - 10.1016/j.ejor.2011.05.015
M3 - Article
AN - SCOPUS:84861196711
SN - 0377-2217
VL - 214
SP - 768
EP - 779
JO - European Journal of Operational Research
JF - European Journal of Operational Research
IS - 3
ER -