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oai:www.ideals.illinois.edu:2142/24230 2023-07-10 col_2142_5131 col_2142_16359 com_2142_5130 com_2142_16358 com_2142_234

Component Kim, Harrison H.M. Schroeder, Nathan B. 2011-05-25T15:06:12Z 2011-05-25T15:06:12Z 2011-05-25T15:06:12Z 2011-05 This thesis presents a method of solving a newly posed Second Life Product Family Design problem. This is unique in that the architecture of the product is not speci ed to be identical to one of the recaptured products, rather it is determined through optimization. The problem is framed using Conjoint Analysis and the Multi Nomial Logit Model, formatted with respect to components available for inclusion in the nal products and then solved using an implementation of Genetic Algorithms. The solution method is also encapsulated in a software module which can be disseminated to industrial users without a background in optimization or familiarity with Genetic Algorithms. A case study is performed to determine the e ectiveness of the proposed solution method, and analyze the in uences di erent market conditions and component similarities can have on the optimal design. It is concluded that the proposed method converges to an optimal Second Life Product Family Design. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2011-04-27T19:17:13Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Schroeder_Nathan.pdf: 1106991 bytes, checksum: 3ce00e55319d40be3ddde0d435365d44 (MD5) Made available in DSpace on 2011-05-25T15:06:12Z (GMT). No. of bitstreams: 2 Schroeder_Nathan.pdf: 1106991 bytes, checksum: 3ce00e55319d40be3ddde0d435365d44 (MD5) license.txt: 4066 bytes, checksum: 27ef283da72f7dd4b3f6f6771ebf91e0 (MD5) http://hdl.handle.net/2142/24230 en Copyright 2011 Nathan B. Schroeder Remanufacturing Second Life Product Design Genetic Algorithm Design of a second life product family from the perspective of the remanufacturing agent Industrial&Enterprise Sys Eng 1422 Systems & Entrepreneurial Engr 3846 University of Illinois at Urbana-Champaign Thesis M.S. MS:Sys & Entreprnural Eng-UIUC 10KS3846MS