SOLVING A STOCHASTIC CELLULAR MANUFACTURING MODEL BY USING GENETIC ALGORITHMS

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ASGHARPOUR M.J.; JAVADIAN N.

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Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF ENGINEERING Year:2004 | Volume:17 | Issue:2 (TRANSACTIONS A: BASICS) Page(s): 145-156

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Information Journal Paper

Title

SOLVING A STOCHASTIC CELLULAR MANUFACTURING MODEL BY USING GENETIC ALGORITHMS

Author(s)

ASGHARPOUR M.J. | JAVADIAN N. | Issue Writer Certificate

Keywords

CELLULAR MANUFACTURING SYSTEMS

MATHEMATICAL MODEL

DYNAMIC AND STOCHASTIC STATES (DSS)

DYNAMIC AND DETERMINISTIC STATES (DDS)

GENETIC ALGORITHMS

Abstract

This paper presents a MATHEMATICAL MODEL for designing CELLULAR MANUFACTURING SYSTEMS (CMSs) solved by GENETIC ALGORITHMS. This model assumes a dynamic production, a stochastic demand, routing flexibility, and machine flexibility. CMS is an application of group technology (GT) for clustering parts and machines by means of their operational and / or apparent form similarity in different aspects of design and production. Most previous researches carried out in CMSs have been embodied in static production and deterministic demand states. Due to real situations of a CM model, if includes a great number of variables and restrictions requiring a long period of time, memory, and process power in order to be solved using available software packages and current optimal methods. Therefore, most researchers pay attention to novel methods. One of these methods is GENETIC ALGORITHMS (Gas). GA is a class of stochastic search techniques used for solving the NP-complete problems, such as CMSs. In this paper, a nonlinear integer model of CMS is designed in dynamic and stochastic states. Then, genetic algorithm is used to solve the problem and finally computational results are compared to existing optimal solutions in order to validate the efficiency of the proposed algorithm.

Cites

DESIGNING STOCHASTIC CELL FORMATION PROBLEM USING QUEUING THEORY

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APA: Copy

ASGHARPOUR, M.J., & JAVADIAN, N.. (2004). SOLVING A STOCHASTIC CELLULAR MANUFACTURING MODEL BY USING GENETIC ALGORITHMS. INTERNATIONAL JOURNAL OF ENGINEERING, 17(2 (TRANSACTIONS A: BASICS)), 145-156. SID. https://sid.ir/paper/355329/en

Vancouver: Copy

ASGHARPOUR M.J., JAVADIAN N.. SOLVING A STOCHASTIC CELLULAR MANUFACTURING MODEL BY USING GENETIC ALGORITHMS. INTERNATIONAL JOURNAL OF ENGINEERING[Internet]. 2004;17(2 (TRANSACTIONS A: BASICS)):145-156. Available from: https://sid.ir/paper/355329/en

IEEE: Copy

M.J. ASGHARPOUR, and N. JAVADIAN, “SOLVING A STOCHASTIC CELLULAR MANUFACTURING MODEL BY USING GENETIC ALGORITHMS,” INTERNATIONAL JOURNAL OF ENGINEERING, vol. 17, no. 2 (TRANSACTIONS A: BASICS), pp. 145–156, 2004, [Online]. Available: https://sid.ir/paper/355329/en

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