Paper
27 February 2004 Optimizing decision making at the end of life of a product
Author Affiliations +
Proceedings Volume 5262, Environmentally Conscious Manufacturing III; (2004) https://doi.org/10.1117/12.515493
Event: Photonics Technologies for Robotics, Automation, and Manufacturing, 2003, Providence, RI, United States
Abstract
European environmental legislation has significantly evolved over the last few years, forcing manufacturers to be more environmentally aware and to introduce ecological criteria in their traditional practices. One of the most important goals of this set of regulations is to reduce the amount of solid waste generated per unit of time by promoting recycling, repair, reuse and other recovery strategies at the product end of life (EOL). However, one of the most difficult steps for manufacturers is that of deciding which of these options or which combination of them should be implemented to get the maximum recovery value taking into account the specific characteristics of each product. In this paper, a recurrent algorithm is proposed to determine the optimal end-of-life strategy. On the basis of the product bill of materials and its graphical CAD/CAM representation, the model will determine to what extent the product should be disassembled and what the final end of each disassembled part should be (reuse, recycling or disposal). The paper starts by presenting an overview of the model, to then focus on the CAD-integrated algorithm for determining the optimum disassembly sequence, a necessary step in EOL decision-making.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Beatriz Gonzalez-Torre and Belarmino Adenso-Diaz "Optimizing decision making at the end of life of a product", Proc. SPIE 5262, Environmentally Conscious Manufacturing III, (27 February 2004); https://doi.org/10.1117/12.515493
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Cited by 10 scholarly publications.
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KEYWORDS
Computer aided design

Manufacturing

Solid modeling

CAD systems

Robotics

Chemical elements

3D modeling

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