Research Article

Green Smart Factory Information Transparency—Self-Healing Network Decision Analysis System

Xin-Xiu Yin 1, Wei-Jie Guo 1, Hung-Wei Chang 1, Chun-Pin Chang 1 *
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1 Department of Information Management, Chia Nan University of Pharmacy and Science, Tainan City 71710, Taiwan* Corresponding Author
International Journal of Business Studies and Innovation, 3(2), June 2023, 1-14, https://doi.org/10.35745/ijbsi2023v03.02.0001
Submitted: 28 April 2023, Published: 30 June 2023
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ABSTRACT

We proposed a management system with the concepts of decision analysis and on-site management for the transformation of the traditional manufacturing industry into smart factories (such as opaque and non-real-time information). The system was developed to achieve information transparency through a low-power customized communication protocol and make supply chain management clearer. In conjunction with the on-site management concept, it provided real-time on-site status information which integrated decision-making analysis methods to comprehensively evaluate the current situation of the factory. In the system, message queuing telemetry transport (MQTT) protocol was used to push emergency messages and quickly respond to emergencies. In this study, the system developed effectively improved the factory’s information transparency, production quality and efficiency, and process optimization which were in line with ESG goals and achieved sustainable development goals.

CITATION (APA)

Yin, X.-X., Guo, W.-J., Chang, H.-W., & Chang, C.-P. (2023). Green Smart Factory Information Transparency—Self-Healing Network Decision Analysis System. International Journal of Business Studies and Innovation, 3(2), 1-14. https://doi.org/10.35745/ijbsi2023v03.02.0001