The success of an industry today depends on its ability to innovate. In terms of energy performance, this innovation is reflected in the ability of manufacturers to implement new solutions or technologies that enable better energy management. In this regard, this paper aims to address this gap by incorporating energy consumption as an explicit criterion in flowshop scheduling of jobs and flexible preventive maintenance. Leveraging the variable speed of machining operations leading to different energy consumption levels, we explore the potential for energy saving in manufacturing. We develop a mixed integer linear multiobjective optimization model for minimizing the makespan and the total energy consumption. In the literature, no papers considering both production scheduling and flexible periods of maintenance with minimizing both objective the total of energy consumption in flowshop and makespan. The performance of the proposed mixed binary integer programming model is evaluated based on the exact method of branch and bound algorithm. A study of the results proved the performance of the model developed.

中文翻译：

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在两台机器的流水车间进行绿色作业计划和灵活的维护周期，以最大程度地减少制造时间，这是服务水平和总能耗的一种衡量标准

当今行业的成功取决于其创新能力。在能源性能方面，这项创新体现在制造商实施能够改善能源管理的新解决方案或技术的能力上。在这方面，本文旨在通过将能耗作为流水车间作业调度和灵活的预防性维护的明确标准来解决这一差距。利用加工操作的可变速度导致不同的能耗水平，我们探索了制造中节能的潜力。我们开发了一个混合整数线性多目标优化模型，以最小化制造周期和总能耗。在文献中 没有文件同时考虑生产计划和灵活的维护周期，同时最大程度地减少了流水车间和工期的总能耗。基于分支定界算法的精确方法，对所提出的混合二进制整数规划模型的性能进行了评估。对结果的研究证明了所开发模型的性能。