A proposal of Muda Indicator agent to estimate Lean Manufacturing verification

Mohamad, Effendi and Ito, Teruaki and Yuniawan, Dani and Ibrahim, M. A. and Saptari, Adi and Kasim, Mohd Shahir and Raja Abdullah, Raja Izamshah and Shibghatullah, Abdul Samad and Md Ali, Mohd Amran (2014) A proposal of Muda Indicator agent to estimate Lean Manufacturing verification. Journal of Advanced Manufacturing Technology (JAMT) , 8 (2). pp. 71-82. ISSN 1985-3157

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Abstract

Lean Manufacturing (LM) is the philosophy to improve productivity of manufacturing system by eliminating wastes. LM tools have been implemented as software tools in order to implement this philosophy. However, implementing LM in factories does not always succeed because of several reasons; insufficient expertise and knowledge on LM practitioners, dynamic feature of complicated manufacturing processes, difficulty in quantifying the benefits of LM implementation, and etc. Simulation-based approaches have been proposed to support LM implementation, and their effectiveness has been reported in several papers. However, they are not suitable for LM practitioners who are not familiar with simulation software. Therefore, some appropriate niche techniques to bridge the gap between LM practitioners and simulation-based approaches are expected to achieve successful LM implementation. This research proposes an agent-based approach to LM implementation using Muda Indicator (MI) agent to narrow the gap. This paper presents the overview of MI agent, defines quartile calculation to determine Muda level, explains MI indication by MI agent, and shows the feasibility of MI agent using a manufacturing process model. The feasibility study showed how MI agent presents transition of quantifying wastes during simulation in a dynamic manner.

Item Type:	Article
Uncontrolled Keywords:	Lean manufacturing, Quantifying waste, Manufacturing simulation, Intelligent agent
Subjects:	T Technology > T Technology (General) T Technology > TS Manufactures
Divisions:	Faculty of Manufacturing Engineering > Department of Manufacturing Management
Depositing User:	Muhammad Afiz Ahmad
Date Deposited:	20 Sep 2017 09:01
Last Modified:	26 May 2023 15:44
URI:	http://eprints.utem.edu.my/id/eprint/19385
Statistic Details:	View Download Statistic

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