A Genetic Algorithm Approach for A Dynamic Cell Formation Problem Considering Machine Breakdown and Buffer Storage

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.

RABBANI MASOUD; Elahi Saeed; RAFIEI HAMED; FARSHBAF GERANMAYEH AMIR

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

Journal Paper

Paper Information

Journal: JOURNAL OF QUALITY ENGINEERING AND PRODUCTION OPTIMIZATIO Year:2015 | Volume:1 | Issue:2 Page(s): 1-18

Download Full-Text

View:

127

Download:

Cites:

Information Journal Paper

Title

A Genetic Algorithm Approach for A Dynamic Cell Formation Problem Considering Machine Breakdown and Buffer Storage

Author(s)

RABBANI MASOUD | Elahi Saeed | RAFIEI HAMED | FARSHBAF GERANMAYEH AMIR | Issue Writer Certificate

Keywords

Buffer storage

Dynamic cell formation problem

Genetic algorithm

Machine breakdown

Mathematical programming

Abstract

Cell formation problem mainly addresses how machines should be grouped and parts be processed in cells. In dynamic environments, product mix and demand are changed in each period of the planning horizon. Incorporating such assumption in the model increases flexibility of the system to meet customers’ requirements. In this model, to ensure the reliability of the system in presence of unreliable machines, alternative routing process as well as buffer storage are considered to reduce detrimental effects of machine failure. This problem is presented by a nonlinear mixed integer programming model attempting to minimize the overall cost of the system. To solve the model in large scale for practical purposes, a genetic algorithm approach is adopted as the model belongs to NP-hard class of problems. Sensitivity analysis is used to show the validity of the proposed model. Besides, numerical examples are used both, for small-sized and large-sized instances to show the efficiency of the method in finding near optimal solution.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

RABBANI, MASOUD, Elahi, Saeed, RAFIEI, HAMED, & FARSHBAF GERANMAYEH, AMIR. (2015). A Genetic Algorithm Approach for A Dynamic Cell Formation Problem Considering Machine Breakdown and Buffer Storage. JOURNAL OF QUALITY ENGINEERING AND PRODUCTION OPTIMIZATIO, 1(2), 1-18. SID. https://sid.ir/paper/352204/en

Vancouver: Copy

RABBANI MASOUD, Elahi Saeed, RAFIEI HAMED, FARSHBAF GERANMAYEH AMIR. A Genetic Algorithm Approach for A Dynamic Cell Formation Problem Considering Machine Breakdown and Buffer Storage. JOURNAL OF QUALITY ENGINEERING AND PRODUCTION OPTIMIZATIO[Internet]. 2015;1(2):1-18. Available from: https://sid.ir/paper/352204/en

IEEE: Copy

MASOUD RABBANI, Saeed Elahi, HAMED RAFIEI, and AMIR FARSHBAF GERANMAYEH, “A Genetic Algorithm Approach for A Dynamic Cell Formation Problem Considering Machine Breakdown and Buffer Storage,” JOURNAL OF QUALITY ENGINEERING AND PRODUCTION OPTIMIZATIO, vol. 1, no. 2, pp. 1–18, 2015, [Online]. Available: https://sid.ir/paper/352204/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops