Apply Particle Swarm Optimization To Storage Warehouse Design:A Case Study Of Terumo Company

Abstract

A significant part of this industry is the operation of warehouses. Layout design is one important factor that has a bearing on the effectiveness of warehouse operations. In this study, the layout of the warehouses where different suppliers gather and store products for a specified period then deliver to various customers will be examined with regard to aisle design and shelf configuration. In the distribution centre, piece and pack picking are mainly carried out. The study aims at designing a storage configuration that minimises the yearly total handling costs after rearrangement products into racks. For the placement or pick of products from the storage area in relation to the distances between the shelves and docks, account shall be taken of ordering frequency and weight. A particle swarm optimization algorithm is proposed as a novel heuristic approach to find the optimal solution. The result shows that the total annual handling cost when changing in the number of iterations, the computational times, and the yearly throughput do not make a change in the shelf configuration except the annual handling cos