Solving Storage Assignment And Order Picking Problem: A Case Study Of Gemadept Logistics Company

Abstract

Currently, the supply chain is critical to the success of any organization. Many major corporations are still concerned about warehouse operations. Warehouse operations that are efficient may relieve pressure on the whole supply chain. Nonetheless, many businesses have used antiquated warehouse management methods, resulting in supply chain bottlenecks. Picking operations are one of the challenges that many experts are interested in when it comes to warehouse operations. Picking in the improper sequence might raise warehouse operating costs. To deal with the problem of choosing activities, organizations must first implement an appropriate storage allocation strategy. This study will use mathematical models and two metaheuristic approaches, a genetic algorithm and particle swam optimization, to solve storage assignment and order picking challenges. These approaches have been tried and proven to handle Gemadept warehouse issues.