Novel Implementation of Multiple Mathematical Models in Automated Storage and Retrieval Warehouse Systems by Using Optimization Algorithms

Abstract

Warehouses and distribution centers are among the essential components in the supply chain, and their management is crucial. In the classifications made in the literature, warehouse management methods and distribution centers are divided into manual and machine forms. This system has advantages over previous systems, such as increased flexibility, accuracy, and order preparation speed. In this project, this storage system is called an automatic reverse storage system (ARWS). In this research, a complete and comprehensive explanation about the automatic reverse storage system and its components and their relationship with each other is provided. The following are mathematical models related to ordering items, assigning items to shelves, and completing orders and routing. For validation, the proposed models for small-size problems have been carefully solved with GAMS software. Then, to select the appropriate metaheuristic method, the landscape analysis method has been used. Hence using the analysis method, population-based methods were selected. Taguchi is used to determining the parameters of this method, and its results are presented.