A carbon sensitive supply chain network problem with green procurement

Faced with growing concerns over the environmental impact of human activities and increasing regulatory pressure, companies are beginning to recognize the importance of greening their supply chains by minimizing carbon emissions of their activities. An original equipment manufacturer that is concern...

Full description

Bibliographic Details
Main Authors: Abdallah, Tarek (Author), Diabat, Ali (Author), Simchi-Levi, David (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Civil and Environmental Engineering (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2011-10-27T18:08:20Z.
Subjects:
Online Access:Get fulltext
LEADER 01650 am a22002293u 4500
001 66601
042 |a dc 
100 1 0 |a Abdallah, Tarek  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Civil and Environmental Engineering  |e contributor 
100 1 0 |a Simchi-Levi, David  |e contributor 
100 1 0 |a Simchi-Levi, David  |e contributor 
700 1 0 |a Diabat, Ali  |e author 
700 1 0 |a Simchi-Levi, David  |e author 
245 0 0 |a A carbon sensitive supply chain network problem with green procurement 
260 |b Institute of Electrical and Electronics Engineers,   |c 2011-10-27T18:08:20Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/66601 
520 |a Faced with growing concerns over the environmental impact of human activities and increasing regulatory pressure, companies are beginning to recognize the importance of greening their supply chains by minimizing carbon emissions of their activities. An original equipment manufacturer that is concerned with minimizing the environmental impact of its activities should choose its suppliers based on the trade off between costs and respective emissions. In this paper, we develop an MIP model for the carbon-sensitive supply chain that minimizes emissions throughout the supply chain by taking into consideration green procurement. A sensitivity analysis of our model and results on several small problems are included. 
520 |a Massachusetts Institute of Technology 
520 |a Masdar Institute of Science and Technology 
546 |a en_US 
655 7 |a Article 
773 |t Proceedings of the 40th International Conference on Computers and Industrial Engineering (CIE), 2010