Title of article :
GLOBAL SUPPLY CHAIN MANAGEMENT UNDER THE CARBON EMISSION TRADING PROGRAM USING MIXED INTEGER PROGRAMMING AND GENETIC ALGORITHM
Author/Authors :
Sadegheih, A. yazd university, يزد, ايران , Drake, P. R. University of Liverpool - Management School - E-Business and Operations Management Division, U.K , Li, D. University of Liverpool - Management School - E-Business and Operations Management Division, U.K , Sribenjachot, S. University of Liverpool - Management School - E-Business and Operations Management Division, U.K
Abstract :
In this paper, the transportation problem under the carbon emission trading program ismodelled by mathematical programming and genetic algorithm. Since green supply chain issuesbecome important and new legislations are taken into account, carbon emissions costs are included inthe total costs of the supply chain. The optimisation model has the ability to minimise the total costsand provides the best solutions, which are both cost-effective and environmentally friendly.Moreover, a mathematical model and genetic algorithm are used to simulate the developments whencarbon emission costs are changed and when companies are committed penalty charge. Finally, theresult is shown the genetic algorithm technique is feasible in transportation network planning
Keywords :
Discrete models , Genetic algorithm , Supply chain , Carbon emission trading , Network planning
Journal title :
International Journal of Engineering
Journal title :
International Journal of Engineering
