Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/65439
Title: Industry 4.0 Gap analysis for Thai industries with association rules mining
Authors: Wimalin Laosiritaworn
Wichai Chattinnawat
Keywords: Business, Management and Accounting
Decision Sciences
Engineering
Issue Date: 1-Jan-2019
Abstract: © IEOM Society International. 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.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85067246485&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/65439
ISSN: 21698767
Appears in Collections:CMUL: Journal Articles

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