A carbon sensitive supply chain network problem with green procurement

Tarek Abdallah, Ali Diabat, David Simchi-Levi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publication40th International Conference on Computers and Industrial Engineering
Subtitle of host publicationSoft Computing Techniques for Advanced Manufacturing and Service Systems, CIE40 2010
DOIs
StatePublished - 2010
Event40th International Conference on Computers and Industrial Engineering, CIE40 2010 - Awaji, Japan
Duration: Jul 25 2010Jul 28 2010

Publication series

Name40th International Conference on Computers and Industrial Engineering: Soft Computing Techniques for Advanced Manufacturing and Service Systems, CIE40 2010

Other

Other40th International Conference on Computers and Industrial Engineering, CIE40 2010
CountryJapan
CityAwaji
Period7/25/107/28/10

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Software

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    Abdallah, T., Diabat, A., & Simchi-Levi, D. (2010). A carbon sensitive supply chain network problem with green procurement. In 40th International Conference on Computers and Industrial Engineering: Soft Computing Techniques for Advanced Manufacturing and Service Systems, CIE40 2010 [5668278] (40th International Conference on Computers and Industrial Engineering: Soft Computing Techniques for Advanced Manufacturing and Service Systems, CIE40 2010). https://doi.org/10.1109/ICCIE.2010.5668278