An integrated fuzzy simulation-fuzzy data envelopment analysis algorithm for job-shop layout optimization: The case of injection process with ambiguous data

A. Azadeh, M. Moghaddam, S. M. Asadzadeh, Ashkan Negahban

Research output: Contribution to journalArticle

39 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)768-779
Number of pages12
JournalEuropean Journal of Operational Research
Volume214
Issue number3
DOIs
StatePublished - Jan 1 2011

Fingerprint

Fuzzy Simulation
Fuzzy Data
Data envelopment analysis
Job Shop
Data Envelopment Analysis
Ambiguous
Layout
Injection
Optimization
Facility Layout
Possibility Distribution
Fuzzy set theory
Stochastic systems
Refrigerators
Discrete event simulation
Fuzzy Set Theory
Discrete Event Simulation
Modeling
Stochastic Systems
Convert

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Modeling and Simulation
  • Management Science and Operations Research
  • Information Systems and Management

Cite this

@article{fd9eebe9c9554e63870775523d4f2f21,
title = "An integrated fuzzy simulation-fuzzy data envelopment analysis algorithm for job-shop layout optimization: The case of injection process with ambiguous data",
abstract = "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.",
author = "A. Azadeh and M. Moghaddam and Asadzadeh, {S. M.} and Ashkan Negahban",
year = "2011",
month = "1",
day = "1",
doi = "10.1016/j.ejor.2011.05.015",
language = "English (US)",
volume = "214",
pages = "768--779",
journal = "European Journal of Operational Research",
issn = "0377-2217",
publisher = "Elsevier",
number = "3",

}

An integrated fuzzy simulation-fuzzy data envelopment analysis algorithm for job-shop layout optimization : The case of injection process with ambiguous data. / Azadeh, A.; Moghaddam, M.; Asadzadeh, S. M.; Negahban, Ashkan.

In: European Journal of Operational Research, Vol. 214, No. 3, 01.01.2011, p. 768-779.

Research output: Contribution to journalArticle

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, Ashkan

PY - 2011/1/1

Y1 - 2011/1/1

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.

UR - http://www.scopus.com/inward/record.url?scp=84861196711&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84861196711&partnerID=8YFLogxK

U2 - 10.1016/j.ejor.2011.05.015

DO - 10.1016/j.ejor.2011.05.015

M3 - Article

AN - SCOPUS:84861196711

VL - 214

SP - 768

EP - 779

JO - European Journal of Operational Research

JF - European Journal of Operational Research

SN - 0377-2217

IS - 3

ER -