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

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Information Journal Paper

Title

DESIGNING A MULTI-OBJECTIVE NONLINEAR CROSS-DOCKING LOCATION ALLOCATION MODEL USING GENETIC ALGORITHM

Pages

  27-42

Abstract

 In this study, a CROSS-DOCKING system is designed at strategic and tactical levels. For making the strategic decisions, a multi-objective nonlinear LOCATION ALLOCATION model for cross-docks is presented based on a distribution LOCATION ALLOCATION model by Andreas Klose and Andreas Drexl. The model is further developed to include the whole supply chain members and the objective functions are weighted by implementing AHP. A GENETIC ALGORITHM solution is designed for sample cross-dock LOCATION ALLOCATION problems. In the tactical stage, model was further simulated under two different distribution strategies to decide on the tactical parameters. As an example, the performance of the model is verified.

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    • Cite

    APA: Copy

    MAKOUI, A., HAERIAN, L., & EFTEKHAR, M.. (2006). DESIGNING A MULTI-OBJECTIVE NONLINEAR CROSS-DOCKING LOCATION ALLOCATION MODEL USING GENETIC ALGORITHM. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, 2(3), 27-42. SID. https://sid.ir/paper/309818/en

    Vancouver: Copy

    MAKOUI A., HAERIAN L., EFTEKHAR M.. DESIGNING A MULTI-OBJECTIVE NONLINEAR CROSS-DOCKING LOCATION ALLOCATION MODEL USING GENETIC ALGORITHM. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL[Internet]. 2006;2(3):27-42. Available from: https://sid.ir/paper/309818/en

    IEEE: Copy

    A. MAKOUI, L. HAERIAN, and M. EFTEKHAR, “DESIGNING A MULTI-OBJECTIVE NONLINEAR CROSS-DOCKING LOCATION ALLOCATION MODEL USING GENETIC ALGORITHM,” JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, vol. 2, no. 3, pp. 27–42, 2006, [Online]. Available: https://sid.ir/paper/309818/en

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