BLOCKCHAIN-ENABLED INFORMATION AS A SERVICE AND OPTIMAL FULFILMENT CAPACITY BALANCING IN CYBER PLATFORM-DRIVEN CROWDSOURCED MANUFACTURING
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Song, Mulang
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Abstract
As a new emerging manufacturing paradigm, platform-driven crowdsourced manufacturing utilizes the cooperation between the platform, designer, and service providers to configure and fulfill the supply chain. In this value creation and delivery process, the cyber platform enables and manages the interaction between each participant in the supply chain to respond to varieties of customer needs which lets platform-driven crowdsourced manufacturing become a persuasive approach to seeking manufacturing solutions.
This thesis examines platform-driven crowdsourced manufacturing based on two unique perspectives: Information as a Service (IaaS) fulfillment and operational excellence of the platform. From the first perspective, this thesis analyzes the use case of the cyber platform in the platform-driven crowdsourced manufacturing system based on its workflow. An IaaS fulfillment system is designed based on the analysis using blockchain and distributed file-sharing technologies. The proposed system is distributed, which fulfills IaaS by providing secured information upload, sharing, and management services. The decentralization feature of the system reduces the cost of trust for using the system. From the perspective of operational excellence, the thesis models the interactions between users and their decision-making process in the system based on ECC game theory, population dynamics, and the Moran process. Based on the models, an optimization strategy is proposed to manage the fulfillment capacity balance by facilitating the participation level of users.
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2022-04-20
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