Concept and Methods for the Development of Blockchain based Cloud Manufacturing

Wang, Binni

Concept and Methods for the Development of Blockchain based Cloud Manufacturing

dc.contributor.advisor	Tu, Paul
dc.contributor.author	Wang, Binni
dc.contributor.committeemember	Li, Simon
dc.contributor.committeemember	Xue, Deyi
dc.contributor.committeemember	Thekinen, Joseph
dc.contributor.committeemember	Patterson, Raymond
dc.contributor.committeemember	Zeng, Yong
dc.date	2023-06
dc.date.accessioned	2023-05-02T14:49:16Z
dc.date.available	2023-05-02T14:49:16Z
dc.date.issued	2023-04-30
dc.description.abstract	Cloud manufacturing is seen as a promising improvement for networked manufacturing, with potential for achieving higher service quality at a lower cost, although the progress of its application has not met expectations. The main obstacle hindering its adoption is the reluctance of potential users to share data with cloud manufacturing due to concerns about data safety issues caused by central management. To address this drawback, the integration of a decentralized blockchain system has been proposed as a promising solution. However, the traceable data and provable system features of blockchain technology cannot guarantee data security, particularly for small or moving objects that lack the ability for data verification. Therefore, blockchain-based cloud manufacturing systems must have the ability to ensure data reliability. Moreover, the scalability problem must be addressed for the adoption of a blockchain-based system. This PhD thesis proposes a feasible architecture for a blockchain-based cloud manufacturing system and evaluates the reliability of perceived data through data similarity measurement. Firstly, the architecture of the system is outlined, with the use of rollup technology to address scalability issues. Second, the proper fee setting for the system is analyzed. For data similarity measurement, comparable data is selected using a modified clustering algorithm, and the data is described using polygon-based descriptions, including existing and proposed polygon descriptions. Finally, data similarity measurement is transformed into a similarity comparison of polygon descriptions, with methods such as multi-objective programming-based similarity comparison and overlap area-based similarity comparison applied for this purpose. The feasibility of the proposed methods is verified through a case study.
dc.identifier.citation	Wang, B. (2023). Concept and methods for the development of blockchain based cloud manufacturing (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.
dc.identifier.uri	http://hdl.handle.net/1880/116141
dc.identifier.uri	https://dx.doi.org/10.11575/PRISM/dspace/40986
dc.language.iso	en
dc.publisher.faculty	Graduate Studies
dc.publisher.institution	University of Calgary
dc.rights	University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subject	cloud manufacturing
dc.subject	blockchain
dc.subject	architecture
dc.subject	clustering algorithm
dc.subject	similarity measurement
dc.subject.classification	Engineering--Industrial
dc.title	Concept and Methods for the Development of Blockchain based Cloud Manufacturing
dc.type	doctoral thesis
thesis.degree.discipline	Engineering – Mechanical & Manufacturing
thesis.degree.grantor	University of Calgary
thesis.degree.name	Doctor of Philosophy (PhD)
ucalgary.thesis.accesssetbystudent	I do not require a thesis withhold – my thesis will have open access and can be viewed and downloaded publicly as soon as possible.