مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

335
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

124
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

1

Information Journal Paper

Title

AN ARCHIVED MULTI-OBJECTIVE SIMULATED ANNEALING FOR A DYNAMIC CELLULAR MANUFACTURING SYSTEM

Pages

  1-17

Abstract

 To design a GROUP LAYOUT of a cellular manufacturing system (CMS) in a dynamic environment, a multi-objective mixed-integer non-linear programming model is developed. The model integrates cell formation, GROUP LAYOUT and PRODUCTION PLANNING (PP) as three interrelated decisions involved in the design of a CMS. This paper provides an extensive coverage of important manufacturing features used in the design of CMSs and enhances the flexibility of an existing model in handling the fluctuations of part demands more economically by adding machine depot and PP decisions. Two conflicting objectives to be minimized are the total costs and the imbalance of workload among cells. As the considered objectives in this model are in conflict with each other, an ARCHIVED MULTI-OBJECTIVE SIMULATED ANNEALING (AMOSA) algorithm is designed to find Pareto-optimal solutions. Matrix-based solution representation, a heuristic procedure generating an initial and feasible solution and efficient mutation operatorsare the advantages of the designed AMOSA. To demonstrate the efficiency of the proposed algorithm, the performance of AMOSA is compared with an exact algorithm (i.e., Î-constraint method) solved by the GAMS software and a well-known evolutionary algorithm, namely NSGAII for some randomly generated problems based on some comparison metrics. The obtained results show that the designed AMOSA can obtain satisfactory solutions for the multi-objective model.

Cites

References

Cite

APA: Copy

SHIRAZI, HOSSEIN, KIA, REZA, JAVADIAN, NIKBAKHSH, & TAVAKKOLI MOGHADDAM, REZA. (2014). AN ARCHIVED MULTI-OBJECTIVE SIMULATED ANNEALING FOR A DYNAMIC CELLULAR MANUFACTURING SYSTEM. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, 10(2), 1-17. SID. https://sid.ir/paper/309969/en

Vancouver: Copy

SHIRAZI HOSSEIN, KIA REZA, JAVADIAN NIKBAKHSH, TAVAKKOLI MOGHADDAM REZA. AN ARCHIVED MULTI-OBJECTIVE SIMULATED ANNEALING FOR A DYNAMIC CELLULAR MANUFACTURING SYSTEM. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL[Internet]. 2014;10(2):1-17. Available from: https://sid.ir/paper/309969/en

IEEE: Copy

HOSSEIN SHIRAZI, REZA KIA, NIKBAKHSH JAVADIAN, and REZA TAVAKKOLI MOGHADDAM, “AN ARCHIVED MULTI-OBJECTIVE SIMULATED ANNEALING FOR A DYNAMIC CELLULAR MANUFACTURING SYSTEM,” JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, vol. 10, no. 2, pp. 1–17, 2014, [Online]. Available: https://sid.ir/paper/309969/en

Related Journal Papers

  • No record.
  • Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button