Title:
PLATFORM-DRIVEN CROWDSOURCED MANUFACTURING FOR MANUFACTURING AS A SERVICE

dc.contributor.advisor Jiao, Jianxin (Roger)
dc.contributor.advisor Gebraeel, Nagi
dc.contributor.author Gong, Xuejian
dc.contributor.committeeMember Choi, Seung-Kyum
dc.contributor.committeeMember Liang, Steven Y.
dc.contributor.committeeMember Yao, Donggang
dc.contributor.committeeMember Hora, Manpreet S.
dc.contributor.department Mechanical Engineering
dc.date.accessioned 2022-01-14T16:13:41Z
dc.date.available 2022-01-14T16:13:41Z
dc.date.created 2021-12
dc.date.issued 2021-12-15
dc.date.submitted December 2021
dc.date.updated 2022-01-14T16:13:42Z
dc.description.abstract Platform-driven crowdsourced manufacturing is an emerging manufacturing paradigm to instantiate the adoption of the open business model in the context of achieving Manufacturing-as-a-Service (MaaS). It has attracted attention from both industries and academia as a powerful way of searching for manufacturing solutions extensively in a smart manufacturing era. In this regard, this work examines the origination and evolution of the open business model and highlights the trends towards platform-driven crowdsourced manufacturing as a solution for MaaS. Platform-driven crowdsourced manufacturing has a full function of value capturing, creation, and delivery approach, which is fulfilled by the cooperation among manufacturers, open innovators, and platforms. The platform-driven crowdsourced manufacturing workflow is proposed to organize these three decision agents by specifying the domains and interactions, following a functional, behavioral, and structural mapping model. A MaaS reference model is proposed to outline the critical functions and inter-relationships. A series of quantitative, qualitative, and computational solutions are developed for fulfilling the outlined functions. The case studies demonstrate the proposed methodologies and can pace the way towards a service-oriented product fulfillment process. This dissertation initially proposes a manufacturing theory and decision models by integrating manufacturer crowds through a cyber platform. This dissertation reveals the elementary conceptual framework based on stakeholder analysis, including dichotomy analysis of industrial applicability, decision agent identification, workflow, and holistic framework of platform-driven crowdsourced manufacturing. Three stakeholders require three essential service fields, and their cooperation requires an information service system as a kernel. These essential functions include contracting evaluation services for open innovators, manufacturers' task execution services, and platforms' management services. This research tackles these research challenges to provide a technology implementation roadmap and transition guidebook for industries towards crowdsourcing.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/66174
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Manufacturing-as-a-Service
dc.subject Crowdsourcing
dc.subject Open business model
dc.title PLATFORM-DRIVEN CROWDSOURCED MANUFACTURING FOR MANUFACTURING AS A SERVICE
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Jiao, Jianxin (Roger)
local.contributor.advisor Gebraeel, Nagi
local.contributor.corporatename George W. Woodruff School of Mechanical Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication 48ca5e07-55f0-41b0-a2f4-9c033612965f
relation.isAdvisorOfPublication 7475bd6a-cb04-4f7f-a4b1-323201edc9e2
relation.isOrgUnitOfPublication c01ff908-c25f-439b-bf10-a074ed886bb7
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
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