물류센터 일괄상하역체계 개선을 위한 설계지원 시뮬레이터

Abstract

Warehousing operations include palletizing operations that consist of container handling with forklift dock, and container shifting between rack areas and docking area using forklists. However, the loading and unloading operations are subject to the waiting time needed to perform lifting operations by the forklift. To solve this problem of increased waiting time, the loading and unloading system can perform the operation by batched pallet with its own power. Recently, a design that uses a simulation method was proposed to minimize the error in the new system in warehouses and utilize multiple simulation techniques to reduce design time. Previous studies reviewed the simulation model to check specific changes in the performance of the new system when it was introduced in a warehouse. This study dose a comparative analysis of the performance of the proposed alternative and the current designs. In order to efficiently perform repeated work in a limited space, we provide three alternatives to support the batch loading and unloading operation. They are the general-purpose system, dedicated system, and system for a wing-body truck. The simulation model has been developed to compare the productivity of the proposed system to that of the current system. The alternatives proposed to improve the performance of forklift system for use in current warehouse operations of loading and unloading improves each palletizing operation by simultaneously reversing the batch up and down the upper and lower stations as opposed to the batch lifting method for individual tasks, thereby, decreasing the waiting time of the forklift. The cargo loading and unloading system that uses the specification designed to target a prototype testing phase, with the input data as presented in this study, does not reflect the operating conditions of a complete warehouse. As a result, it means that if the truck service is improved and the waiting time of the forklift is greatly reduced, then the number of forklifts required to handle external trucks can be reduced sufficiently. However, the introduction of the new system requires the generation of a large initial investment, which also depends on the application of warehouse specific size and volume needed to perform a productivity level analysis using quantitative economics. The design support simulator plays a role in periodically simulating and calculating the actual forklift’s movement, according to the operational rules, and the transfers of cargos by stacking rules. By using statistics measures, we can design its physical layout. This study aim to provide feasible alternatives for batch loading and unloading systems used in warehouses. The result of this study should take into consideration the design of warehouses as well.