Bi-objective carbon-efficient distributed flow-shop scheduling with multistep electricity pricing
研究了多步电价和碳排放约束下的双目标分布式流水车间调度问题，提出混合整数规划模型和两阶段知识型协同算法，为政府和企业的电价方案及管理决策提供参考。
A bi-objective distributed flow-shop scheduling problem with multistep electricity pricing and carbon emissions is studied. One objective is to minimise the completion time of production, and the other is to minimise the total cost of multistep electricity pricing and carbon emissions. A mixed integer programming model and a two-stage knowledge based cooperative algorithm with a local reinforcement strategy are proposed for the problem. The extensive numerical experiments show that the two-stage algorithm was effective statistical significantly in generating non-dominated solution sets and Pareto frontiers. Simulations on Electricity Prices are applied to examine different multistep electricity pricing schemes, and management implications were drawn for both government and companies.