Product low-carbon design using dynamic programming algorithm

31Citations
Citations of this article
35Readers
Mendeley users who have this article in their library.

Abstract

Greenhouse gas emission has become a recent global concern for green manufacturing. As product low-carbon design is an essential approach to achieve low-carbon manufacturing, which has a profound effect on the product carbon footprint, many researches have been focused on it in recent years with a result of valuable contributions. This paper is devoted to presenting a dynamic programmingbased approach to product low-carbon design. After product low-carbon design is characterized by a multi-stage decision process with interaction effects on each other in the product life cycle, a dynamic programming method is used to optimize the total carbon footprint of each stage while considering interaction effects of solutions at each stage in product life cycle. The low-carbon design of a cold heading machine is used to demonstrate the proposed methodology.

Cite

CITATION STYLE

APA

He, B., Huang, S., & Wang, J. (2015). Product low-carbon design using dynamic programming algorithm. International Journal of Precision Engineering and Manufacturing - Green Technology, 2(1), 37–42. https://doi.org/10.1007/s40684-015-0005-z

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free