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

Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
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ICOAC01_265

تاریخ نمایه سازی: 9 مرداد 1395

Abstract:

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.

Authors

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,

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