A model for optimizing the assembly and disassembly of electronic systems Export

@article{citeulike:972898, abstract = {This paper presents a methodology that incorporates simultaneous consideration of economic and environmental merit during the virtual prototyping phase of electronic product design. A model that allows optimization of a product life cycle, which includes primary assembly, disassembly, and secondary assembly using a mix of new and salvaged components, is described. Optimizing this particular life cycle scenario is important for products that are leased to customers or subject to product take-back laws. Monte Carlo simulation is used to account for uncertainty in the data, and demonstrates that high-level design and process decisions may be made with a few basic metrics and without highly specific data sets for every material and component used in a product. A web-based software tool has been developed that implements this methodology}, author = {Sandborn, P. A. and Murphy, C. F.}, citeulike-article-id = {972898}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=778170}, journal = {Electronics Packaging Manufacturing, IEEE Transactions on [see also Components, Packaging and Manufacturing Technology, Part C: Manufacturing, IEEE Transactions on]}, keywords = {design}, number = {2}, pages = {105--117}, posted-at = {2006-12-04 07:05:39}, priority = {3}, title = {A model for optimizing the assembly and disassembly of electronic systems}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=778170}, volume = {22}, year = {1999} }

TY - JOUR ID - citeulike:972898 L3 - citeulike-article-id:972898 N2 - This paper presents a methodology that incorporates simultaneous consideration of economic and environmental merit during the virtual prototyping phase of electronic product design. A model that allows optimization of a product life cycle, which includes primary assembly, disassembly, and secondary assembly using a mix of new and salvaged components, is described. Optimizing this particular life cycle scenario is important for products that are leased to customers or subject to product take-back laws. Monte Carlo simulation is used to account for uncertainty in the data, and demonstrates that high-level design and process decisions may be made with a few basic metrics and without highly specific data sets for every material and component used in a product. A web-based software tool has been developed that implements this methodology IS - 2 JF - Electronics Packaging Manufacturing, IEEE Transactions on [see also Components, Packaging and Manufacturing Technology, Part C: Manufacturing, IEEE Transactions on] EP - 117 TI - A model for optimizing the assembly and disassembly of electronic systems VL - 22 SP - 105 KW - design AU - Sandborn, PA AU - Murphy, CF PY - 1999/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=778170 ER -