9th Annual International Conference on Industrial Engineering and Operations Management

Industry 4.0 Gap Analysis for Thai Industries with Association Rules mining

Wimalin Laosiritaworn & Wichai Chattinnawat
Publisher: IEOM Society International
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Track: Industry 4.0 - Special Track
Abstract

Industry 4.0 is an emerging term that has drawn great attention the past few years. It consists of variety of technologies including internet of things, cloud computing, sensor, mobile devices, big data. The goal of industry 4.0 is to incorporate these technologies to create the factories that are highly efficient and highly adaptive to meet organizational goals. The adoption of this concepts has been reported worldwide in various name such as “Industrial Internet of Things” in the US or “the Made in China 2025 initiative” in China. However, there is no publication of the current situation of the adoption in Thailand. This paper presents a survey of current adoption of the concept of industry 4.0 in Thai industries in the attempt to identify the gap between the current situation and the ideal situation that the industries want to position themselves. The survey was conducted using questionnaires with 50 factories located throughout Thailand and across many sectors.  The results were analyzed using association rule mining techniques. It was founded that industry 4.0 technologies that has highest percentage of implementation at presents are mobile devices and sensor technologies but still there are gaps of need for both technologies. The technology that has not yet implemented but has highest need is big data technology. The overall results suggested that, at the moment, it was not found the evident that Thai industries have explicit plan to transform their organization with respect to industry 4.0 concept.

Published in: 9th Annual International Conference on Industrial Engineering and Operations Management, Bangkok, Thailand

Publisher: IEOM Society International
Date of Conference: March 5-7, 2019

ISBN: 978-1-5323-5948-4
ISSN/E-ISSN: 2169-8767