TY - JOUR
ID - 65
TI - A Multi-Periodic Multi-Product Inventory Control Problem with Discount: GA Optimization Algorithm
JO - Journal of Optimization in Industrial Engineering
JA - JOIE
LA - en
SN - 2251-9904
AU - Mousavi, Seyed Mohsen
AU - Pasandideh, Seyed Hamidreza
AD - MSc, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
AD - Assistant Professor, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Y1 - 2011
PY - 2011
VL - Volume 4
IS - Issue 7
SP - 37
EP - 44
KW - Inventory control system
KW - All unit discount
KW - Time value of money
KW - Multi-item
KW - Multi-period
KW - Genetic Algorithm
DO -
N2 - 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.
UR - http://www.qjie.ir/article_65.html
L1 - http://www.qjie.ir/article_65_c5ed9d22c6a9038cbfe2ac60d30cc86b.pdf
ER -