Real-Time Asset Brokering for Integrated Value Chains in Personalized Manufacturing

 




 

Charles, Donovan Sheldon (2023) Real-Time Asset Brokering for Integrated Value Chains in Personalized Manufacturing. Masters thesis, Tunku Abdul Rahman University of Management and Technology.

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Abstract

Industry 4.0 introduces many new technologies to the manufacturing process that allows digitisation of data. In the past, most products were mass produced to cut down on unnecessary costs, but slowly a demand is increased for personalised items. With Industry 4.0 in the manufacturing line, customisation can be easily achieved due to the flexibility that is incorporated into the machines of today. One of the issues that exists when sharing data is there is no platform to host an organisations’ assets, and to have other organisations’ view and purchase said assets. This research showcases an asset brokering system to manage information published by organisations that enables real-time transaction of asset values. This system also features authentication on both ends to ensure that the correct data provider and data consumer is connected to each other. The Asset Brokering Management System for personalised manufacturing has been demonstrated through a prototype deployed in a cloud environment, showcasing a specific use case. Upon demonstrating the use case, the proposed system is also supported with a host of experiments to support the objectives of this research, which further shows how such a system can be used in the industry. The performance of the system is also measured in latency (milliseconds) for the effectiveness of the real-time solution proposed.

Item Type: Thesis / Dissertation (Masters)
Subjects: Technology > Manufactures
Science > Computer Science > Databases
Technology > Technology (General) > Information technology. Information systems
Faculties: Faculty of Computing and Information Technology > Master of Information Technology
Depositing User: Library Staff
Date Deposited: 02 May 2024 02:18
Last Modified: 02 May 2024 02:18
URI: https://eprints.tarc.edu.my/id/eprint/28469