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


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
Early online date3 Mar 2016
Publication statusPublished - 1 Oct 2016


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


Dive into the research topics of 'Bi-objective optimization for low-carbon product family design'. Together they form a unique fingerprint.

Cite this