APPLYING GENETIC ALGORITHM FOR AN INTEGRATED SUPPLY AND PRODUCTION / DISTRIBUTION PLANNING IN ASSEMBLY SYSTEMS

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.

MOTLAGH MOHAMMAD SABET; MOHAGHAR ALI

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

Journal Paper

Paper Information

Journal: INDUSTRIAL MANAGEMENT JOURNAL Year:2016 | Volume:8 | Issue:2 Page(s): 163-190

Download Full-Text

Persian Verion

View:

918

Download:

Cites:

Information Journal Paper

Title

APPLYING GENETIC ALGORITHM FOR AN INTEGRATED SUPPLY AND PRODUCTION / DISTRIBUTION PLANNING IN ASSEMBLY SYSTEMS

Author(s)

MOTLAGH MOHAMMAD SABET | MOHAGHAR ALI | Issue Writer Certificate

Keywords

A PURE INTEGER PROGRAMMINGQ2

GENETIC ALGORITHMQ1

INVENTORY MANAGEMENTQ1

MATHEMATICAL MODELINGQ2

SUPPLY CHAIN MANAGEMENTQ1

Abstract

An efficient supply chain system operates under a strategy to minimize costs by integrating the different functions inside the system and by meeting customer demands in time. In this paper, an integrated supply-production and distribution planning (SPDP) is considered despite the fact that in most of the Papers, Part of the supply chain has been studied, not all parts. Therefore, we develop a mathematical model that calculate the optimal inventory lot sizing for each supplier and minimize the total cost associated in the process of procuring raw material, transferring and holding raw materials, manufacturing and, finally, delivering the finished product. The problem is formulated as a pure integer programming and heuristic genetic algorithm (GA) method applied to solve it. Then we test the proposed model in a case study conducted in Iran. Experimental results show that such a model can reduce the costs of the case study by 8.4694%.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

MOTLAGH, MOHAMMAD SABET, & MOHAGHAR, ALI. (2016). APPLYING GENETIC ALGORITHM FOR AN INTEGRATED SUPPLY AND PRODUCTION / DISTRIBUTION PLANNING IN ASSEMBLY SYSTEMS. JOURNAL OF INDUSTRIAL MANAGEMENT, 8(2 ), 163-190. SID. https://sid.ir/paper/140058/en

Vancouver: Copy

MOTLAGH MOHAMMAD SABET, MOHAGHAR ALI. APPLYING GENETIC ALGORITHM FOR AN INTEGRATED SUPPLY AND PRODUCTION / DISTRIBUTION PLANNING IN ASSEMBLY SYSTEMS. JOURNAL OF INDUSTRIAL MANAGEMENT[Internet]. 2016;8(2 ):163-190. Available from: https://sid.ir/paper/140058/en

IEEE: Copy

MOHAMMAD SABET MOTLAGH, and ALI MOHAGHAR, “APPLYING GENETIC ALGORITHM FOR AN INTEGRATED SUPPLY AND PRODUCTION / DISTRIBUTION PLANNING IN ASSEMBLY SYSTEMS,” JOURNAL OF INDUSTRIAL MANAGEMENT, vol. 8, no. 2 , pp. 163–190, 2016, [Online]. Available: https://sid.ir/paper/140058/en

Related Journal Papers