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All Journal Journal of Engineering and Management in Industrial System
Teruaki Ito
Faculty of Computer Science and Systems, Okayama Prefectural University
Industrial & Manufacturing Engineering

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DATA ANALYTICS SUPPORTING LEAN MANUFACTURING TOWARDS INDUSTRY 4.0 THROUGH SIMULATION: A REVIEW Soufhwee Abdul Rahman; Effendi Bin Mohamad; Azrul Abdul Rahman; Ihwan Hamdala; Aisyah Larasati; supawi pawenang; Teruaki Ito
Journal of Engineering and Management in Industrial System Vol 8, No 1 (2020)
Publisher : Badan Penerbit Jurnal, Faculty of Engineering, Universitas Brawijaya

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Abstract

The Lean Manufacturing (LM) system has been increasingly used in many industrial applications, worldwide, in the last 3 decades. The LM system is based on sound philosophy and includes several tools and principles, which permit its usage in eliminating wastes and decreasing the production costs. Though the conventional LM is helpful, the new paradigm, i.e., Industry 4.0, has started challenging the system. The traditional LM system cannot analyse the complex issues present in the existing competitive market on its own. This is because the Industry 4.0 is based on data which is more diverse, complex and fast. In this review, the researchers have attempted to identify the solution for the current scenario. Literature survey showed that simulation was a relevant tool that could be used for addressing the complexity-based issues related to the new concept. Though the combination of the simulation and LM system helped in understanding the problems, there still existed a gap in the LM system with regards to the merging of the 2 technologies of Industry 4.0. 
Co-Authors Aisyah Larasati Azrul Abdul Rahman Effendi Bin Mohamad Ihwan Hamdala Soufhwee Abdul Rahman supawi pawenang