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首页> 外文期刊>International Journal of Production Research >Electricity cost minimisation for optimal makespan solution in flow shop scheduling under time-of-use tariffs
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Electricity cost minimisation for optimal makespan solution in flow shop scheduling under time-of-use tariffs

机译：在使用时间关税下流店调度中最佳Mapspan解决方案的电力成本最小化

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The industrial sector consumes half of the world delivered energy and is responsible for a third of carbon dioxide emissions which cause severe environmental pollution. The industry has to change its behaviour concerning the energy consumption. Since two-machine flow shop scheduling () is one of the typical problems of the manufacturing industry, this paper aims to build an energy-cost-aware scheduling plan. This work tackles the joint optimisation of makespan and electricity cost in two-machine flow shop scheduling problem under electricity pricing. We enhance the financial aspect of the optimal solution of by minimising the electricity cost without increasing the makespan. Firstly, we show the contribution of the generation of several optimal equivalent solutions of . The optimal equivalent solutions have different electricity costs but present the same makespan. Then, we determine the optimal starting time of jobs on several equivalent optimal solutions to get the best production plan. Finally, the numerical tests show that our proposed approach improves the electricity cost significantly under optimal makespan. The results provide good solutions to managers and decision makers to achieve energy cost savings without sacrificing the productivity which can contribute to sustainable development of the manufacturing industry.
机译：工业部门消耗了世界各地的一半能源，负责三分之一的二氧化碳排放，导致严重的环境污染。该行业必须改变其能源消耗的行为。由于双机流店调度（）是制造业的典型问题之一，本文旨在建立能量成本感知的调度计划。这项工作解决了电力定价下两机流量店调度问题的Mapespan和电力成本的联合优化。通过在不增加Makespan的情况下，通过最小化电费来提高最佳解决方案的财务方面。首先，我们展示了产生几种最佳等效解决方案的贡献。最佳的等效解决方案具有不同的电力成本，但呈现相同的MEPESPAN。然后，我们确定几个等效最佳解决方案的最佳启动时间，以获得最佳生产计划。最后，数值测试表明，我们所提出的方法在最佳的Mapspan下显着提高了电力成本。结果为管理人员和决策者提供了良好的解决方案，以实现能源成本节省，而不会牺牲能够为制造业的可持续发展提供促进的生产力。

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