Abstract
Material Transportation System (MTS) is required to move materials within a factory, warehouse, or other facilities. This study focused on AGV where the optimization of MTS is further studied. Although there is increasing demand in AGV control architecture, there is still unexplored potential in optimizing AGV performance measures. Applying AGVs in logistic factory may help in improving the efficiency in material flow and distribution among workstation at the right time and the right place. The aim of this study is to propose a simulation-based vehicle requirement analysis of AGVs in warehouse area with low mixed product variation. Simulations results show optimized number of AGV in warehouse area is achieved and succeed in produce short cycle time with high throughput.
Highlights
The material transport system (MTS) is one of the basic components in material handling system (MHS)
This article focuses on the multi-objective optimization of multiple Automated Guided Vehicles (AGVs) used for automated Warehouse based on low mixed product variation whereby the simulation-based vehicle requirement analysis for distributed MTS is proposed
A different parameter has produced different output. This output is in terms of system throughput and cycle time
Summary
The material transport system (MTS) is one of the basic components in material handling system (MHS). AGVs in the factory logistic plays important mechanism which effecting production efficiency since, it provides flexibility in routing parts among element present in the system and energy consumption [9]. It takes care of moving raw materials or finished goods from or to warehouse and the production shop floor because any bottleneck or inefficiency in the factory can increase the productivity of the whole factory. This article focuses on the multi-objective optimization of multiple AGVs used for automated Warehouse based on low mixed product variation whereby the simulation-based vehicle requirement analysis for distributed MTS is proposed
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