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Development of robust design-for-remanufacturing guidelines to further the aims of sustainable development

Ijomah, W. L., McMahon, C. A., Hammond, G. P., Newman, S. T.·2007·International Journal of Production Research

Abstract

Key manufacturing challenges include pollution, natural resource depletion, waste management and landfill space. Remanufacturing, a process of bringing used products to a ‘like-new’ functional state with warranty to match, is being regarded as a vital strategy in waste management and environmentally conscious manufacturing. There is a paucity of remanufacturing knowledge, particularly in design-for-remanufacturing (DFRem) because of its relative novelty in research terms. This paper outlines the elements of the remanufacturing concept, details existing design-for-remanufacturing research and describes findings from recent UK industrial case studies undertaken to verify and augment previous research. It proposes some fundamental steps required to build on past work to improve the robustness of DFRem methodologies.

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Metadata

Authors
Ijomah, W. L., McMahon, C. A., Hammond, G. P., & Newman, S. T.
Venue
International Journal of Production Research
Published
2007-09-15
Volume
45
Issue
18-19
Pages
4513-4536
ISSN
  • 0020-7543 (ISSN-L)
  • 1366-588X
OpenAlex
W2153610878
Cited by
224
References
0
FWCI
21.03
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Development of robust design-for-remanufacturing guidelines to further the aims of sustainable development. https://app.cochat.ai/papers/10.1080/00207540701450138
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Ijomah, W. L., McMahon, C. A., Hammond, G. P., & Newman, S. T. (2007). Development of robust design-for-remanufacturing guidelines to further the aims of sustainable development. International Journal of Production Research. https://doi.org/10.1080/00207540701450138

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.