A vector projection method to evaluating machine tool alternatives for green manufacturing
A vector projection method to evaluating machine tool alternatives for green manufacturing
- Author(s): Jiang Zhigang and Zhang Hua
- DOI: 10.1049/cp:20060838
For access to this article, please select a purchase option:
Buy conference paper PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
International Technology and Innovation Conference 2006 (ITIC 2006) — Recommend this title to your library
Thank you
Your recommendation has been sent to your librarian.
- Author(s): Jiang Zhigang and Zhang Hua Source: International Technology and Innovation Conference 2006 (ITIC 2006), 2006 p. 640 – 643
- Conference: International Technology and Innovation Conference 2006 (ITIC 2006)
- DOI: 10.1049/cp:20060838
- ISBN: 0 86341 696 9
- Location: Hangzhou, China
- Conference date: 6-7 Nov. 2006
- Format: PDF
Machine tool selection for green manufacturing is a practical approach for reducing the resource consumption and negative environmental impact in mechanical processes. On the other hand, selecting the best machine tool from its increasing number of existing alternatives in market are multiple-criteria decision making problem in the presence of many quantitative and qualitative attributes. Therefore, in this paper, a reference index system is setup for the machine tool selection by the consideration of resource consumption and environmental impact. A machine tool selection model is established, and a methodology so called vector projection method is developed to justify machine tool alternatives. Lastly, an example is discussed.
Inspec keywords: manufacturing systems; machine tools; vectors; design for environment; decision making
Subjects: Design; Environmental issues; Manufacturing systems; Algebra; Production equipment
Related content
content/conferences/10.1049/cp_20060838
pub_keyword,iet_inspecKeyword,pub_concept
6
6