A GENETIC ALGORITHM FOR A BI-OBJECTIVE MATHEMATICAL MODEL FOR DYNAMIC VIRTUAL CELL FORMATION PROBLEM

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.

MORADGHOLI MOSTAFA; PAYDAR MOHAMMAD MAHDI; MAHDAVI IRAJ; JOUZDANI JAVID

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

Journal Paper

Paper Information

Journal: JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL Year:2016 | Volume:12 | Issue:3 Page(s): 0-0

Download Full-Text

View:

208

Download:

130

Cites:

Information Journal Paper

Title

A GENETIC ALGORITHM FOR A BI-OBJECTIVE MATHEMATICAL MODEL FOR DYNAMIC VIRTUAL CELL FORMATION PROBLEM

Author(s)

MORADGHOLI MOSTAFA | PAYDAR MOHAMMAD MAHDI | MAHDAVI IRAJ | JOUZDANI JAVID | Issue Writer Certificate

Keywords

VIRTUAL CELL FORMATION

GENETIC ALGORITHM

WORKFORCE ASSIGNMENT

BI-OBJECTIVE MATHEMATICAL PROGRAMMING

FUZZY GOAL PROGRAMMING

Abstract

Nowadays, with the increasing pressure of the competitive business environment and demand for diverse products, manufacturers are force to seek for solutions that reduce production costs and rise product quality. Cellular manufacturing system (CMS), as a means to this end, has been a point of attraction to both researchers and practitioners. Limitations of cell formation problem (CFP), as one of important topics in CMS, have led to the introduction of virtual CMS (VCMS). This research addresses a bi-objective dynamic VIRTUAL CELL FORMATION problem (DVCFP) with the objective of finding the optimal formation of cells, considering the material handling costs, fixed machine installation costs and variable production costs of machines and workforce. Furthermore, we consider different skills on different machines in WORKFORCE ASSIGNMENT in a multi-period planning horizon. The biobjective model is transformed to a single-objective FUZZY GOAL PROGRAMMING model and to show its performance; numerical examples are solved using the LINGO software. In addition, GENETIC ALGORITHM (GA) is customized to tackle large-scale instances of the problems to show the performance of the solution method.

Cites

No record.

References

No record.

Cite

APA: Copy

MORADGHOLI, MOSTAFA, PAYDAR, MOHAMMAD MAHDI, MAHDAVI, IRAJ, & JOUZDANI, JAVID. (2016). A GENETIC ALGORITHM FOR A BI-OBJECTIVE MATHEMATICAL MODEL FOR DYNAMIC VIRTUAL CELL FORMATION PROBLEM. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, 12(3), 0-0. SID. https://sid.ir/paper/310062/en

Vancouver: Copy

MORADGHOLI MOSTAFA, PAYDAR MOHAMMAD MAHDI, MAHDAVI IRAJ, JOUZDANI JAVID. A GENETIC ALGORITHM FOR A BI-OBJECTIVE MATHEMATICAL MODEL FOR DYNAMIC VIRTUAL CELL FORMATION PROBLEM. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL[Internet]. 2016;12(3):0-0. Available from: https://sid.ir/paper/310062/en

IEEE: Copy

MOSTAFA MORADGHOLI, MOHAMMAD MAHDI PAYDAR, IRAJ MAHDAVI, and JAVID JOUZDANI, “A GENETIC ALGORITHM FOR A BI-OBJECTIVE MATHEMATICAL MODEL FOR DYNAMIC VIRTUAL CELL FORMATION PROBLEM,” JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, vol. 12, no. 3, pp. 0–0, 2016, [Online]. Available: https://sid.ir/paper/310062/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops