A. An analysis of multi-item inventory model using particle swarm optimization under discrete delivery orders and limited storage space


Öztürk H. , Şenel F. A.

International Journal of Intelligent Systems and Applications in Engineering (IJISAE), cilt.7, ss.124-132, 2019 (Diğer Kurumların Hakemli Dergileri)

  • Cilt numarası: 7 Konu: 3
  • Basım Tarihi: 2019
  • Doi Numarası: 10.18201/ijisae.2019355374
  • Dergi Adı: International Journal of Intelligent Systems and Applications in Engineering (IJISAE)
  • Sayfa Sayıları: ss.124-132

Özet

This study explores an economic production quantity (EPQ) model designed with the assumptions of discrete delivery orders
and storage capacity c
onstraints for a multi
-
item production inventory system. The main purpose of this study is to determine the optimal
order quantity, the optimal number of deliveries and the optimal delivery quantity. First, the developed model as part of thi
s study
is
analyzed using Genetic Algorithm (GA). Numerical analysis results
are
compared with those of previous studies and it was found that it is
possible to have better results with an increasing number of iteration. The same model
is
then analyzed using Particle
Swarm Optimization
(PSO) algorithm. A comparison of the optimization methods showed that PSO gives better results over the GA under the same num
ber of
iterations and using the same population. The effects of important model parameters such as number of it
erations, population, crossover,
mutation rate on the optimal solution
are
analyzed. The results showed that PSO performs better than the GA with respect to the total cost
and the total runtime as the solution of the problem in question.