PROPOSED A GENETIC ALGORITHM FOR INVENTORY PLANNING MODEL IN PROJECT SUPPLY CHAIN

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.

TEIMOURY E.; MOUSAVI F.S.

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

Journal Paper

Paper Information

Journal: Advances in Industrial Engineering Year:2011 | Volume:45 | Issue:1 Page(s): 45-58

Download Full-Text

Persian Verion

View:

1,030

Download:

Cites:

Information Journal Paper

Title

PROPOSED A GENETIC ALGORITHM FOR INVENTORY PLANNING MODEL IN PROJECT SUPPLY CHAIN

Author(s)

TEIMOURY E. | MOUSAVI F.S. | Issue Writer Certificate

Keywords

GENETIC ALGORITHMQ2

PROJECT SUPPLY CHAINQ2

INVENTORY PLANNINGQ2

Abstract

On time supply of materials in construction projects is very important. Therefore, coordinating a project with key suppliers, while ensuring the timely supply of materials, make the minimum costs of project. One way to create this coordination is integrated INVENTORY PLANNING which has been accomplished in this study. It is necessary to mention that such a model is considered NP_hard in terms of complexity class, because the model is compound of the INVENTORY PLANNING and planning with limited resources, that in literature, the class of programs with limited resources is considered NP_hard. Therefore, in this paper while introducing the INVENTORY PLANNING model in PROJECT SUPPLY CHAIN, a model based on GENETIC ALGORITHM is proposed to determine the solution. The proposed algorithm has been run for the suitable size problem and the results show that the introduced algorithm, in actual sizes, within a reasonable time, provides an appropriate response.

Cites

No record.

References

No record.

Cite

APA: Copy

TEIMOURY, E., & MOUSAVI, F.S.. (2011). PROPOSED A GENETIC ALGORITHM FOR INVENTORY PLANNING MODEL IN PROJECT SUPPLY CHAIN. ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), 45(1), 45-58. SID. https://sid.ir/paper/166395/en

Vancouver: Copy

TEIMOURY E., MOUSAVI F.S.. PROPOSED A GENETIC ALGORITHM FOR INVENTORY PLANNING MODEL IN PROJECT SUPPLY CHAIN. ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)[Internet]. 2011;45(1):45-58. Available from: https://sid.ir/paper/166395/en

IEEE: Copy

E. TEIMOURY, and F.S. MOUSAVI, “PROPOSED A GENETIC ALGORITHM FOR INVENTORY PLANNING MODEL IN PROJECT SUPPLY CHAIN,” ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), vol. 45, no. 1, pp. 45–58, 2011, [Online]. Available: https://sid.ir/paper/166395/en

Related Journal Papers