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Information Journal Paper

Title

EVOLUTIONARY MULTI-OBJECTIVE ALGORITHM FOR CONTINUOUS REVIEW STOCHASTIC INVENTORY SYSTEMS

Pages

  81-99

Abstract

 Different inventory control systems try to determine how much and when to order at the least relevant cost while maintaining a desirable service level for customers. In this article, a continuous review stochastic inventory system, with three objectives, is optimized. In this model, contrary to the traditional inventory models, customer service is not considered a shortage cost in the objective function. But the frequency of stock out occasions and the number of items stocked out annually are to be minimized. For determining the Pareto optimal set, multi-objective EVOLUTIONARY ALGORITHMS are used. First, NSGA-II, MOGA, VEGA, RWGA are developed. Then some improvements in NSGA-II mechanisms are made and R-NSGA-II is developed.Subsequently, these algorithms are examined for some criteria such as set coverage and spacing, and the best algorithms for each criteria are presented. The Result shows that R-NSGA-II has good scores for most criteria. Afterwards, Pareto optimal set is ranked using the method of global criteria.

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  • Cite

    APA: Copy

    KHISHTANDAR, SOHEILA, FARZAD, FARHAD, & ZANDIEH, MOSTAFA. (2011). EVOLUTIONARY MULTI-OBJECTIVE ALGORITHM FOR CONTINUOUS REVIEW STOCHASTIC INVENTORY SYSTEMS. JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, 8(20), 81-99. SID. https://sid.ir/paper/213144/en

    Vancouver: Copy

    KHISHTANDAR SOHEILA, FARZAD FARHAD, ZANDIEH MOSTAFA. EVOLUTIONARY MULTI-OBJECTIVE ALGORITHM FOR CONTINUOUS REVIEW STOCHASTIC INVENTORY SYSTEMS. JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES[Internet]. 2011;8(20):81-99. Available from: https://sid.ir/paper/213144/en

    IEEE: Copy

    SOHEILA KHISHTANDAR, FARHAD FARZAD, and MOSTAFA ZANDIEH, “EVOLUTIONARY MULTI-OBJECTIVE ALGORITHM FOR CONTINUOUS REVIEW STOCHASTIC INVENTORY SYSTEMS,” JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, vol. 8, no. 20, pp. 81–99, 2011, [Online]. Available: https://sid.ir/paper/213144/en

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