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Design for rebirth (DFRb) and data structure

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  • Mascle, Christian

Abstract

In this paper, rebirth, the methodology of design for rebirth and the data structure which it requires will be examined. Rebirth is a global strategy of product analysis for sustainable development. A methodology is developed to conceive a product according to objectives defined by its end of life and its generic engineering requirements, and this methodology is implanted in a framework. Our data structure is based on topological information from a boundary representation (B-rep) model and it processes all information relative to the life cycle of the product. The software, based on this data structure, allows predefining certain characteristics based on knowledge of the company or on the data base. This facilitates its use for a wide range of applications.

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  • Mascle, Christian, 2013. "Design for rebirth (DFRb) and data structure," International Journal of Production Economics, Elsevier, vol. 142(2), pages 235-246.
    • Handle: RePEc:eee:proeco:v:142:y:2013:i:2:p:235-246
    DOI: 10.1016/j.ijpe.2010.12.001
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    1. Da Silveira, Giovani & Borenstein, Denis & Fogliatto, Flavio S., 2001. "Mass customization: Literature review and research directions," International Journal of Production Economics, Elsevier, vol. 72(1), pages 1-13, June.
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    4. Mascle, Christian & Zhao, Hong Ping, 2008. "Integrating environmental consciousness in product/process development based on life-cycle thinking," International Journal of Production Economics, Elsevier, vol. 112(1), pages 5-17, March.
    5. Fynes, Brian & Voss, Chris & de Burca, Sean, 2005. "The impact of supply chain relationship quality on quality performance," International Journal of Production Economics, Elsevier, vol. 96(3), pages 339-354, June.
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    Cited by:

    1. Subramanian, Nachiappan & Gunasekaran, Angappa, 2015. "Cleaner supply-chain management practices for twenty-first-century organizational competitiveness: Practice-performance framework and research propositions," International Journal of Production Economics, Elsevier, vol. 164(C), pages 216-233.
    2. Ameli, Mariam & Mansour, Saeed & Ahmadi-Javid, Amir, 2016. "A multi-objective model for selecting design alternatives and end-of-life options under uncertainty: A sustainable approach," Resources, Conservation & Recycling, Elsevier, vol. 109(C), pages 123-136.
    3. Chun-Che Huang & Wen-Yau Liang & Shan-Ru Yi, 2017. "Cloud-based design for disassembly to create environmentally friendly products," Journal of Intelligent Manufacturing, Springer, vol. 28(5), pages 1203-1218, June.
    4. Hanuv Mann & I.J. Mann & Nehul Gullaiya, 2018. "A Case in Medical Equipment Design for Strategic Sustainability," South Asian Journal of Business and Management Cases, , vol. 7(2), pages 111-119, December.

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