Issue |
RAIRO-Oper. Res.
Volume 58, Number 6, November-December 2024
|
|
---|---|---|
Page(s) | 5185 - 5209 | |
DOI | https://doi.org/10.1051/ro/2024172 | |
Published online | 06 December 2024 |
Development of industry 4.0 based technology selection index using multi criteria decision making
School of Mechanical Engineering, Shri Mata Vaishno Devi University, Katra 182320, Jammu and Kashmir, India
* Corresponding author: amitsinha5050@gmail.com
Received:
12
August
2023
Accepted:
30
August
2024
Selecting an appropriate technology to perform a specific operation has always been an uphill task while setting up a new industry. There exist a large number of decision making challenges, while selecting a technology related to industry 4.0 in a manufacturing environment, as it augments the analysis of various technological elements, which are otherwise not considered in traditional manufacturing systems. The analysis of attributes is a holistic exercise, which needs understanding the co-relationship among the identified attributes from industry 4.0 perspective (i.e., data analysis, cloud, IIoT, real time data monitoring, sensors, etc). In this research paper, an effort has been made to address the issue of selecting appropriate technology using graph theory based multi criteria decision making approach in industry 4.0 environment. The proposed methodology has been applied to two case studies. The first case study is for illustration purpose. However, to validate the concept, the second case study has been included for the benefit of readers.
Key words: Industry 4.0 / Multi criteria decision making / technology selection index / big data handling / graph theory
© The authors. Published by EDP Sciences, ROADEF, SMAI 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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