A low-carbon game-based job scheduling considering material transit

this paper proposes a low-carbon game-based job scheduling considering material transit. In the proposed method: (1)The players refer to job scheduling and material transit respectively; The strategy of each player refers to the selectable machines about submitted jobs; The payoffs of job scheduling refer to completed time and carbon emissions; The payoffs of material transit refer to transit cost and transit carbon emissions. (2)To solve the model, this paper introduces the concept of Nash-Pareto and the solving of the presented model is transferred to find the Nash-Pareto Equilibrium points in the solving space. (3)To get the Nash-Pareto Equilibrium points of this game, a NSGA-II algorithm is consequently developed to effectively solve the mathematical model. Finally, case study is designed to demonstrate the feasibility of the approach, and comparison result proves that the proposed method can balance the interests of job scheduling and material transit.