Title of article
Coordination of green supply chain network, considering uncertain demand and stochastic CO2 emission level
Author/Authors
Golpira، H. نويسنده Department of industrial engineering,Islamic Azad University, Sanandaj branch,Kurdistan,Iran , , Zandieh، M. نويسنده Department of Industrial Management,Shahid Beheshti University,Tehran,Iran , , Najafi، E. نويسنده Department of Industrial Engineering,Islamic Azad University, Science and Research Branch,Tehran,Iran , , Sadi-Nezhade، S. نويسنده Department of Statistics and Actuarial Science,University of Waterloo,Ontario,Canada ,
Issue Information
دوفصلنامه با شماره پیاپی سال 2015
Pages
12
From page
43
To page
54
Abstract
Many supply chain problems involve optimization of various conflicting objectives. This paper formulates a green supply chain network throughout a two-stage mixed integer linear problem with uncertain demand and stochastic environmental respects level. The first objective function of the proposed model considers minimization of supply chain costs while the second objective function minimizes CO2 emission level. The Conditional Value at Risk (CVaR) approach is used to deal with the demand uncertainty in supply chain network in addition to the scenario based approach that is employed to deal with the stochastic level of CO2 emission. The implementation of the proposed model has been demonstrated using some randomly selected numbers and the results are analyzed accordingly.
Keywords
Robust optimization , stochastic programming , Green supply chain , uncertainty , Conditional Value at Risk
Journal title
Journal of Industrial Engineering and Management Studies
Serial Year
2015
Journal title
Journal of Industrial Engineering and Management Studies
Record number
2401331
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