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Cites:

1

Information Journal Paper

Title

MODELING OF THE MATERIAL FLOW OF SUPPLY CHAIN WITH GENETIC ALGORITHM APPROACH

Pages

  211-226

Abstract

 Among flows in every SUPPLY CHAIN (finance, information, and material), MATERIAL FLOW according to its part in product cost is very important. Many studies in the field of MATERIAL FLOW showed that MATERIAL FLOWs are often single level. This study offers a comprehensive model for appropriate order assignment in different levels of SUPPLY CHAIN according to minimizing related cost to with GENETIC ALGORITHM method. Results based on GENETIC ALGORITHM are compared to other common PATTERN SEARCH methods such as Latin Hypercub and Mead-Nelder. The evidence shows that GENETIC ALGORITHM method is the best method among other methods.

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  • Cite

    APA: Copy

    SADEGHI MOGHADAM, M.R., AFSAR, A., & SOHRABI, B.. (2006). MODELING OF THE MATERIAL FLOW OF SUPPLY CHAIN WITH GENETIC ALGORITHM APPROACH. MODARRES HUMAN SCIENCES, 10((TOME 46) MANAGEMENT), 211-226. SID. https://sid.ir/paper/7015/en

    Vancouver: Copy

    SADEGHI MOGHADAM M.R., AFSAR A., SOHRABI B.. MODELING OF THE MATERIAL FLOW OF SUPPLY CHAIN WITH GENETIC ALGORITHM APPROACH. MODARRES HUMAN SCIENCES[Internet]. 2006;10((TOME 46) MANAGEMENT):211-226. Available from: https://sid.ir/paper/7015/en

    IEEE: Copy

    M.R. SADEGHI MOGHADAM, A. AFSAR, and B. SOHRABI, “MODELING OF THE MATERIAL FLOW OF SUPPLY CHAIN WITH GENETIC ALGORITHM APPROACH,” MODARRES HUMAN SCIENCES, vol. 10, no. (TOME 46) MANAGEMENT, pp. 211–226, 2006, [Online]. Available: https://sid.ir/paper/7015/en

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