DESIGN OF A CELLULAR MANUFACTURING SYSTEM IN DYNAMIC AND STOCHASTIC STATES AND ITS SOLUTION BY USING GENETIC ALGORITHMS

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

ASGHARPOOR M.J.; JAVADIAN N.

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

Journal Paper

Paper Information

Journal: Year:2004 | Volume:38 | Issue:1 (83) Page(s): 107-119

Download Full-Text

Persian Verion

View:

3,003

Download:

Cites:

Information Journal Paper

Title

DESIGN OF A CELLULAR MANUFACTURING SYSTEM IN DYNAMIC AND STOCHASTIC STATES AND ITS SOLUTION BY USING GENETIC ALGORITHMS

Author(s)

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

Keywords

Not Registered.

Abstract

In this paper, cellular manufacturing (CM) problems in dynamic and stochastic states have been solved by using a genetic algorithm. In fact, cellular manufacturing system is an application of group technology in a production system. The aim of such system is to cluster parts and machines into the related families in such a way that operational similarity in different production and planning aspects is considered. In most previous researches, cellular manufacturing problems in static production or deterministic demand have been considered continuously. However in a real-world situation, dynamic production and demand for products are non-deterministic. So in order to adapt a CM model with real situation, a great number of variables and restrictions are required. Thus, solution to the above model requires more computational time, memory, and high processing power of computer with traditional optimization methods. Consequently nowadays, modern heuristic methods such as genetic algorithms has been applied in a group of stochastic search techniques in order to solve such a NP-complete problem. In this paper, first a non-linear integer model is developed and then it is solved by genetic algorithms. Finally, obtained results are compared with optimal solutions to show the validity of the proposed algorithm.

Cites

No record.

References

No record.

Cite

APA: Copy

ASGHARPOOR, M.J., & JAVADIAN, N.. (2004). DESIGN OF A CELLULAR MANUFACTURING SYSTEM IN DYNAMIC AND STOCHASTIC STATES AND ITS SOLUTION BY USING GENETIC ALGORITHMS. JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN), 38(1 (83)), 107-119. SID. https://sid.ir/paper/14572/en

Vancouver: Copy

ASGHARPOOR M.J., JAVADIAN N.. DESIGN OF A CELLULAR MANUFACTURING SYSTEM IN DYNAMIC AND STOCHASTIC STATES AND ITS SOLUTION BY USING GENETIC ALGORITHMS. JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN)[Internet]. 2004;38(1 (83)):107-119. Available from: https://sid.ir/paper/14572/en

IEEE: Copy

M.J. ASGHARPOOR, and N. JAVADIAN, “DESIGN OF A CELLULAR MANUFACTURING SYSTEM IN DYNAMIC AND STOCHASTIC STATES AND ITS SOLUTION BY USING GENETIC ALGORITHMS,” JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN), vol. 38, no. 1 (83), pp. 107–119, 2004, [Online]. Available: https://sid.ir/paper/14572/en

Related Journal Papers