Bi-objective optimization for low-carbon product family design

Qi Wang, Dunbing Tang*, Leilei Yin, Miguel A. Salido, Adriana Giret, Yuchun Xu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Consumers, industry, and government entities are becoming increasingly concerned about the issue of global warming. With this in mind, manufacturers have begun to develop products with consideration of low-carbon. In recent years, many companies are utilizing product families to satisfy various customer needs with lower costs. However, little research has been conducted on the development of a product family that considers environmental factors. In this paper, a low-carbon product family design that integrates environmental concerns is proposed. To this end, a new method of platform planning is investigated with considerations of cost and greenhouse gas (GHG) emission of a product family simultaneously. In this research, a low-carbon product family design problem is described at first, and then a GHG emission model of product family is established. Furthermore, to support low-carbon product family design, an optimization method is applied to make a significant trade-off between cost and GHG emission to implement a feasible platform planning. Finally, the effectiveness of the proposed method is illustrated through a case study.

Original languageEnglish
Pages (from-to)53-65
Number of pages13
JournalRobotics and Computer-Integrated Manufacturing
Volume41
Early online date3 Mar 2016
DOIs
Publication statusPublished - 1 Oct 2016

Keywords

  • Low carbon design
  • Multiple objective programming
  • Platform planning
  • Product family design

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