CIVILICA We Respect the Science
(ناشر تخصصی کنفرانسهای کشور / شماره مجوز انتشارات از وزارت فرهنگ و ارشاد اسلامی: ۸۹۷۱)

گواهی نمایه سازی مقاله A Hybrid Genetic and Imperialist Competitive Algorithm to Optimize a Multi-Product Multi-Constraint EOQ Model

عنوان مقاله: A Hybrid Genetic and Imperialist Competitive Algorithm to Optimize a Multi-Product Multi-Constraint EOQ Model
شناسه (COI) مقاله: ICOAC01_265
منتشر شده در ششمین کنفرانس بین المللی اقتصاد، مدیریت و علوم مهندسی در سال ۱۳۹۴
مشخصات نویسندگان مقاله:

Mohammad Hadji Molana - Department of Industrial Engineering, Islamic Azad University, Science & Research Branch, Tehran,
Mojtaba Sajadi - Faculty of Entrepreneurship, University of Tehran, Tehran, Iran
Esmaeil Najafi - Department of Industrial Engineering, Islamic Azad University, Science & Research Branch, Tehran,Iran,
Sina Miri-Nargesi - Department of Industrial Engineering, Islamic Azad University, Science & Research Branch, Tehran,Iran,

خلاصه مقاله:
This research formulates a multi-product economic order quantity (EOQ) problem with an order-quantity-dependent permissible delay in Payment. It should be mentioned that, in business transactions, sometimes customers are allowed to pay in a grace period, i.e., permissible delay in payment occurs. The amount of discount and thelength of the grace period depend on the order quantity and all the costs increase by an inflation rate. Moreover, the shortage is backlogged andthe limited warehouse space leads to a constraint for storage. In order to make the model more applicable to real-world production and inventorycontrol problems, we expand this model by assuming a multi-product economic order quantity problem with limited warehouse-space andcapital limitation. Thus, the problem of this paper is a constrained nonlinear-integer program (NIP) and we propose a hybrid genetic andimperialist competitive algorithm (HGA) to find a near-optimum solution with the objective of minimizing the total cost of the supplychain. A numerical example is presented to demonstrate the application of the proposed methodology.

کلمات کلیدی:
Genetic algorithm; Imperialist Competitive Algorithm; Economic order quantity; Mathematical modeling

صفحه اختصاصی مقاله و دریافت فایل کامل: https://www.civilica.com/Paper-ICOAC01-ICOAC01_265.html