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APPLYING A META HEURISTIC ALGORITHM FOR MULTI-ITEM SUPPLIER SELECTION PROBLEM IN PRESENCE OF MULTIPLE PRICE DISCOUNTS

عنوان مقاله: APPLYING A META HEURISTIC ALGORITHM FOR MULTI-ITEM SUPPLIER SELECTION PROBLEM IN PRESENCE OF MULTIPLE PRICE DISCOUNTS
شناسه ملی مقاله: ICIORS02_223
منتشر شده در دومین کنفرانس بین المللی تحقیق در عملیات ایران در سال 1388
مشخصات نویسندگان مقاله:

R Mohammad Ebrahim - Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
J Razmi - Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

خلاصه مقاله:
In order to provide decision makers with a practical model for multi criteria, multi-item supplier selection problem under the situation that suppliers may offer different discount models a linear integer model is developed in which a weighted sum of four objective functions (cost, defective items, late deliveries and total weight of purchasing which projects the effects of qualitative criteria) is used to develop the main objective function. Due to the complexity of the problem, a Meta heuristic algorithm is proposed based on the Scatter Search Algorithm (SSA) to solve this problem. Then, its performance is evaluated through solving some sample problems and comparing the results with the Branch and Bound’s (B&B) outcomes. This evaluation shows that the proposed SSA can find high quality solutions within reasonably shorter computational times.

کلمات کلیدی:
Supplier selection, Scatter Search, MCDM, linear optimization

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/67984/