Issue |
E3S Web Conf.
Volume 426, 2023
The 5th International Conference of Biospheric Harmony Advanced Research (ICOBAR 2023)
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Article Number | 01012 | |
Number of page(s) | 7 | |
Section | Integrated Sustainable Science and Technology Innovation | |
DOI | https://doi.org/10.1051/e3sconf/202342601012 | |
Published online | 15 September 2023 |
An Analysis and Design of Adaptive Assessment System for Manufacturing Industry 4.0 Implementation in Indonesia
1 Industrial Engineering Department, BINUS Graduate Program — Master of Industrial Engineering, 11480 Bina Nusantara University, Jakarta, Indonesia.
2 Department of Artificial Intelligence, 05006 Sejong University, Seoul, Republic of Korea.
* Corresponding author: muhammad.asrol@binus.edu
The implementation of Industry 4.0 technology has developed rapidly. Despite its development, Indonesia is still nascent and requires some implementation monitoring in its priority industries. This study aims to design a system for assessing the readiness of implementing Industry 4.0 in priority manufacturing industries in Indonesia. A Fuzzy Inference System framework with six main dimensions has been developed to assess the level of readiness for Industry 4.0 in priority manufacturing industries. The six assessment dimensions are Legal Consideration, Products and Service, Manufacturing and Operations, Strategy and Organization, Supply Chain, and Business Model. These dimensions have been developed into a complete assessment system for evaluating the level of readiness for implementing Industry 4.0. Validation of the system has shown that the multi-dimensional assessment system can provide appropriate assessment results to assess the level of readiness for Industry 4.0 in priority manufacturing industries.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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