Graduate Thesis Or Dissertation

 

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/2b88qf47w

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  • Risk is a crucial decision factor besides traditional cost and performance during collaborative decision making in a distributed environment. Three main challenges exist: 1) stakeholders' different perspectives and/or diverse cultures can lead to inconsistent risk probability evaluations; 2) risk consequence is hard to be quantified in concrete unit; 3) risk evaluations uncertainties exist during collaborations. In this work, a risk-based global negotiation (RBN) methodology is developed to support integrative risk negotiation among distributed stakeholders. Two main aspects are covered to manage the challenges: risk content preparation and risk negotiation. Three steps are included in risk preparation: 1) a uniform risk structure is constructed to capture and synthesize heterogeneous risk evaluations at both intra- and inter- stakeholders; 2) risk hierarchy is introduced to quantify risk consequence in notional monetary unit; 3) a consistency scheme is proposed to achieve consistent risk probability evaluations across stakeholders. In risk negotiation aspect, two models are proposed: 1) a static model is constructed to evaluate expected risk values and associated risk preferences systematically; 2) a dynamic uncertainty model is built to address risk uncertainty, and assist collaborative decision making problems such as resource allocation. Two engineering examples are chosen to demonstrate the methodology. The first hypothetical example illustrates risk consequence notional quantification and corresponding resource allocation decision making. The second application focuses on local risk analysis and risk probability global consistency. The results show effectiveness and efficiency of the RBN. Innovations can be summarized: 1) risk probability consistency and risk consequence notional quantification are first introduced in distributed collaborative design; 2) varying weights method is first developed to aggregate multiple stakeholders' preference utilities; 3) static and dynamic uncertainty models are constructed to evaluate risk conditions and assist risk negotiation. Contribution of the work exists in both design research and practice domains. For design research, risk is notionally quantified, and then it can directly combine with traditional cost and performance analysis, and provide more effective and comprehensive negotiation support; for design practice, the methodology in a mathematical form is ready to be embedded into existing commercial Product Data Management tools, which can help stakeholders achieve maximum market profits with acceptable cost-effective risk in the global economy.
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  • description.provenance : Approved for entry into archive by Julie Kurtz(julie.kurtz@oregonstate.edu) on 2008-12-05T16:47:50Z (GMT) No. of bitstreams: 1 Qiu_Dissertation.pdf: 1243351 bytes, checksum: 57a55d9832de54d1577697e79d86dad4 (MD5)
  • description.provenance : Approved for entry into archive by Laura Wilson(laura.wilson@oregonstate.edu) on 2008-12-10T22:28:36Z (GMT) No. of bitstreams: 1 Qiu_Dissertation.pdf: 1243351 bytes, checksum: 57a55d9832de54d1577697e79d86dad4 (MD5)
  • description.provenance : Submitted by Yuming Qiu (qiuy@onid.orst.edu) on 2008-11-29T00:34:10Z No. of bitstreams: 1 Qiu_Dissertation.pdf: 1243351 bytes, checksum: 57a55d9832de54d1577697e79d86dad4 (MD5)
  • description.provenance : Made available in DSpace on 2008-12-10T22:28:37Z (GMT). No. of bitstreams: 1 Qiu_Dissertation.pdf: 1243351 bytes, checksum: 57a55d9832de54d1577697e79d86dad4 (MD5)

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