Assisting decision making in component design for sustainable manufacturing Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/41687m33d

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  • Current life cycle assessment tools are often deficient in assisting design for sustainable manufacturing efforts. Integrating an improved assessment method into a decision support framework will provide a means for designers and engineers to better understand the impacts of their decisions. A unit process modeling-based sustainability assessment method is presented to assist design decision making by accounting for and quantifying economic, environmental, and social attributes. A set of these sustainability metrics is defined as a basis for comparison of component design alternatives. The method is demonstrated using two titanium component production alternatives that represent typical design for manufacturing scenarios. The modeling method significantly increases the resolution of sustainable manufacturing metrics over conventional assessment techniques, and is one aspect of the overall decision support framework developed. Additionally, fixed sum importance weighting, weighted sum modeling, and scenario analysis were selected as easily employed and transparent design decision techniques to provide the remaining elements of the framework. The demonstration of the decision support framework for titanium component manufacturing illustrates that the sequential approach developed can assist engineers in developing more sustainable components and products.
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  • description.provenance : Approved for entry into archive by Julie Kurtz(julie.kurtz@oregonstate.edu) on 2012-04-03T19:50:43Z (GMT) No. of bitstreams: 3 EastlickDaneD2012.pdf: 708672 bytes, checksum: 5f9177a20f7c4c167f595182ee3b6f6b (MD5) license_rdf: 19965 bytes, checksum: 225316337756db2af069c3edfe03a49f (MD5) license_text: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)
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  • description.provenance : Made available in DSpace on 2012-04-03T23:22:58Z (GMT). No. of bitstreams: 3 EastlickDaneD2012.pdf: 708672 bytes, checksum: 5f9177a20f7c4c167f595182ee3b6f6b (MD5) license_rdf: 19965 bytes, checksum: 225316337756db2af069c3edfe03a49f (MD5) license_text: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2012-03-15

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