分时电价策略因其显著的削峰填谷作用，已被广泛用于调节电网高峰负荷和提升电网效率。制造企业可以通过合理的生产调度响应分时电价以节省能源成本，尤其是高能耗批加工企业。作为一类典型的生产系统，批处理机器制造系统因其在提高生产效率、降低生产成本等方面的优势，在制造业中得到广泛应用。本项目旨在为分时电价下考虑开关机策略的平行机批调度问题提出有效的理论与方法。首先，理清分时电价下考虑开关机策略的批处理机器能源成本节省机制，构建问题的多目标混合整数非线性规划模型。然后，在模型结构特性分析和线性化的基础上，提出融合问题特性的改进ε-约束法和两阶段启发式方法相结合的多目标调度算法以求得问题满意Pareto解集。最后，以典型平行批处理机器制造系统为例，对所提出的理论与方法进行验证、评价和应用。本项目研究将为批加工企业在分时电价下科学安排生产提供理论与技术支撑，为促进企业能源成本节省和提升电网效率发挥积极作用。

Time-of-use (TOU) tariffs has been widely implemented to alleviate the grid’s peak load and enhance the efficiency of electrical power grid because of its significant peak-shaving effect. Manufacturing enterprises can reduce its energy cost by responding TOU tariffs with reasonable production scheduling, especially for energy intensive batch processing enterprises. As a typical production system, batch processing production systems are extensively involved in modern manufacturing owing to their advantages in improving production efficiency and reducing production cost. This project intends to develop effective scheduling theories and methods for parallel batch processing machines with on/off switching strategy under TOU tariffs. This project will firstly investigate energy cost saving mechanism of batch processing machines considering on/off switching strategy under TOU tariffs, and then formulate a multi-objective mixed integer nonlinear programming model for the problem. Then, based on the property analysis of the formulated model and nonlinear model's linearization, an improved ε-constraint method and two-stage heuristic combined multi-objective scheduling algorithm will be developed to obtain satisfactory Pareto solutions. Finally, we will validate and apply the proposed theories and methods by taking typical real-life cases of parallel batch processing machines production systems. The research results of this project will not only provide theoretical and technological support for the production scheduling of batch processing enterprises under TOU tariffs, but also contribute to promoting enterprises' energy cost saving and improving power grid's efficiency.