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Simulation-Based Multi-Objective Optimization for Distributed Material Transportation System
Author(s) -
Norhidayah Mohamad,
Muhammad Hafidz Fazli Md Fauadi,
Fairul Azni Jafa,
Ahamad Zaki Mohamed Noor,
M.H. Nordin
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.34.18987
Subject(s) - factory (object oriented programming) , workstation , material flow , material handling , throughput , warehouse , computer science , automated guided vehicle , product (mathematics) , industrial engineering , simulation , engineering , operating system , ecology , geometry , mathematics , marketing , artificial intelligence , business , wireless , biology , programming language
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.  

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