A NEW APPROACH FOR JOINT DEMAND MANAGEMENT AND PRODUCTION PLANNING

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.

TORABI S.A.; ALLAHVERDILOU M.; MOGHADDAM M.

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): 31-44

Download Full-Text

Persian Verion

View:

1,401

Download:

Cites:

Information Journal Paper

Title

A NEW APPROACH FOR JOINT DEMAND MANAGEMENT AND PRODUCTION PLANNING

Author(s)

TORABI S.A. | ALLAHVERDILOU M. | MOGHADDAM M. | Issue Writer Certificate

Keywords

GENETIC ALGORITHMQ2

SUPPLY CHAIN INTEGRATIONQ2

CAPACITATED LOT SIZING PLANNING (CLSP)Q2

DEMAND MANAGEMENTQ2

Abstract

Demand management is one of the main subjects in marketing which affects the operations performance of an organization considerably. In the classic production planning approach, demand is considered as an exogenous factor in planning, while in the new approach, it is a factor that can be controlled. In this paper, we focus on a new approach in supply chain planning and present an integrated production planning and DEMAND MANAGEMENT model is formulated in which demand is controlled by price and market selection. We assume the firm faces a number of potential markets whose demands are price-dependent, and the firm desires to select the best portfolio of markets and the best supply size for each market with regard to his production capacity and markets constraints. An MINLP model is developed for this problem. This model is NP-hard, and so a hybrid heuristic algorithm is developed to solve the problem. A numerical example is also provided to show the applicability of the proposed model.

Cites

No record.

References

No record.

Cite

APA: Copy

TORABI, S.A., ALLAHVERDILOU, M., & MOGHADDAM, M.. (2011). A NEW APPROACH FOR JOINT DEMAND MANAGEMENT AND PRODUCTION PLANNING. ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), 45(1), 31-44. SID. https://sid.ir/paper/166396/en

Vancouver: Copy

TORABI S.A., ALLAHVERDILOU M., MOGHADDAM M.. A NEW APPROACH FOR JOINT DEMAND MANAGEMENT AND PRODUCTION PLANNING. ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)[Internet]. 2011;45(1):31-44. Available from: https://sid.ir/paper/166396/en

IEEE: Copy

S.A. TORABI, M. ALLAHVERDILOU, and M. MOGHADDAM, “A NEW APPROACH FOR JOINT DEMAND MANAGEMENT AND PRODUCTION PLANNING,” ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), vol. 45, no. 1, pp. 31–44, 2011, [Online]. Available: https://sid.ir/paper/166396/en

Related Journal Papers