Journal of Engineering and Management in Industrial System
Vol 8, No 1 (2020)

DATA ANALYTICS SUPPORTING LEAN MANUFACTURING TOWARDS INDUSTRY 4.0 THROUGH SIMULATION: A REVIEW

Soufhwee Abdul Rahman (Fakulti Teknologi Kejuruteraan Mekanikal dan Pembuatan , Universiti Teknikal Malaysia Melaka)
Effendi Bin Mohamad (Fakulti Kejuruteraan Pembuatan , Universiti Teknikal Malaysia Melaka)
Azrul Abdul Rahman (Fakulti Kejuruteraan Pembuatan , Universiti Teknikal Malaysia Melaka)
Ihwan Hamdala (Department of Industrial Engineering, University of Brawijaya,Indonesia)
Aisyah Larasati (Department of Industrial Engineering, State University of Malang)
supawi pawenang (Faculty of Business and Management, Universitas Isalam Batik Surakta)
Teruaki Ito (Faculty of Computer Science and Systems, Okayama Prefectural University)



Article Info

Publish Date
28 May 2020

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. 

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Journal Info

Abbrev

jemis

Publisher

Subject

Industrial & Manufacturing Engineering

Description

Journal of Engineering and Management in Industrial System is a peer reviewed journal. The journal publishes original papers at the forefront of industrial and system engineering research, covering theoretical modeling, inventory, logistics, optimizations methods, artificial intelligence, bioscience ...