TY - JOUR
T1 - Bi-objective optimization for low-carbon product family design
AU - Wang, Qi
AU - Tang, Dunbing
AU - Yin, Leilei
AU - Salido, Miguel A.
AU - Giret, Adriana
AU - Xu, Yuchun
PY - 2016/10/1
Y1 - 2016/10/1
N2 - 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.
AB - 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.
KW - Low carbon design
KW - Multiple objective programming
KW - Platform planning
KW - Product family design
UR - http://www.scopus.com/inward/record.url?scp=84959553734&partnerID=8YFLogxK
U2 - 10.1016/j.rcim.2016.02.001
DO - 10.1016/j.rcim.2016.02.001
M3 - Article
AN - SCOPUS:84959553734
SN - 0736-5845
VL - 41
SP - 53
EP - 65
JO - Robotics and Computer-Integrated Manufacturing
JF - Robotics and Computer-Integrated Manufacturing
ER -