A Multi-Periodic Multi-Product Inventory Control Problem with Discount: GA Optimization Algorithm

Journal of Optimization in Industrial Engineering

مقاله 5، Volume 4، Issue 7، فروردین 2011، صفحه 37-44   

نویسندگان

Seyed Mohsen Mousavi¹؛ Seyed Hamidreza Pasandideh^{* 2}

¹MSc, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

²Assistant Professor, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

چکیده

In this article, a finite horizon, multi product and multi period economic order quantity like seasonal items is considered where demand rate is deterministic and known but variable in each period. The order quantities of items come in batch sizes and the end of the period order

quantity and, consequently, demand of customers are zero. In addition, storage space is constrained and the problem was considered under all units discount (AUD) policy. The modeling technique used for this problem is mixed binary integer programming. The objective was to

find the minimization optimal order quantities under time value of money over the finite horizon. The inventory control system costs include three costs: ordering cost, holding cost, and purchase cost. In order to solve the proposed model, a genetic algorithm (GA) is applied. Finally, we provide a number of examples in order to illustrate the algorithms further.

کلیدواژه‌ها

Inventory control system؛ All unit discount؛ Time value of money؛ Multi-item؛ Multi-period؛ Genetic Algorithm