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A Proposal Of Muda Indicator Agent To Estimate Lean Manufacturing Verification

Mohamad, Effendi, Ito, Teruaki, Yuniawan, Dani ORCID:, Ibrahim, M.A., Saptari, Adi, Kasim, M.S, Izamshah, R, Shibghatullah, A.S. and Ali, M.A. Md (2014) A Proposal Of Muda Indicator Agent To Estimate Lean Manufacturing Verification. Journal of Advanced Manufacturing Technology (JAMT), 8 (2). pp. 71-82. ISSN 2289-8107 (E)

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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
Additional Information: Dani Yuniawan NIDN: 0004067501
Uncontrolled Keywords: Lean Manufacturing, Quantifying Waste, Manufacturing Simulation, Intelligent Agent
Subjects: T Technology > TS Manufactures
Divisions: Fakultas Teknik > S1 Teknik Industri
Depositing User: Rita Juliani
Date Deposited: 20 Jul 2023 14:06
Last Modified: 20 Jul 2023 14:06

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