Mohamad, Effendi, Shafee, Nur ain qistina Muhammad, Rahman, Mohd Soufhwee Abd, Ito, Teruaki, Yuniawan, Dani ORCID: https://orcid.org/0000-0001-9343-0349 and Larasati, Aisyah (2023) Big Data and Simulation In Lean Manufacturing From The Industry 4.0 Perspective. In: https://www.researchgate.net/publication/369171708_Big_Data_and_Simulation_In_Lean_Manufacturing_From_The_Industry_40_Perspective, March 2023, Kyushu Institute of Technology.

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Abstract

Among industry players, the success rate with the adoption of Lean Manufacturing (LM) has been growing significantly year-over-year, by leveraging the Industrial Revolution of 4.0. The boom in Industry 4.0 has resulted in exponential data growth in all fields. This has been possible due to the big data exchange system in real-time, which enables engineers to gain complete control of the system to deal with any forthcoming situation, including data collection and machine control. This scenario also results in competition encouraging the manufacturing industry to grow, thereby increasing the demand pool to cater to the market requirements. However, in real industry, engineers face issue with time, with regards to shortening the notification time when a mistake occurs, which is critical for decision making. Thus, in this review, researchers have tried to find a solution. Simulation can be employed to exploit a new concept of the solution to address complex data-based problem, and concentrate on the decision support system. This research tries to discern and diagnose the gap between the merging of both simulation as well as implementation of LM.

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