Abstract: Flexible job shop energy-saving scheduling and equipment energy-saving control are two key steps to optimize the shop's machine energy consumption and idle energy consumption.In the past,equipment energy-saving control and scheduling were usually optimized in segments,ignoring the strong constraints of the scheduling optimization results on the decision-making process of the equipment state control,limiting the shop's energy-saving optimization potential.For this reason,an integrated optimization method for equipment state control and shop floor energy-saving scheduling was proposed.A job shop scheduling optimization model with integrated equipment state control was established.The overall impact of workpiece sequencing,equipment selection and equipment energy saving control strategy selection on the energy consumption in the job shop was analyzed.A three-layer coding method was designed for integrated optimization problems,involving workpiece sequences,machine sequences and equipment energy-saving strategy sequences.Then,a multi-objective optimization algorithm with adaptive layering strategy and energy-saving scheduling rule was designed to solve the integrated optimization model.Based on standard arithmetic examples in Brandimarte,the effectiveness of the proposed method was verified by comparing the segmented optimization results of flexible job shop scheduling and equipment state control.

Key words: energy-saving scheduling, integrated optimization, equipment status control, flexible job shop, multi-objective optimization algorithm

摘要： 柔性作业车间节能调度与设备节能控制是优化车间加工能耗和空闲能耗的两个关键步骤,但以往设备节能控制与调度通常分段进行优化,忽视了调度优化结果对设备状态控制决策过程的强约束,从而限制了车间的节能优化潜力。为此,提出一种设备状态控制与车间节能调度集成优化的方法。首先,通过分析工件排序、设备选择和设备节能控制策略变化对车间能耗的综合影响,建立集成设备状态控制的车间调度优化模型。其次,根据集成优化问题特性,设计了一种基于工件序列、机器序列和设备状态控制序列的三层式编码方式,同时,提出自适应分层策略和节能调度规则改进多目标优化算法对集成优化模型进行求解。最后,结合Brandimarte中的标准算例,通过对车间调度和设备状态控制分段式优化结果进行对比,验证所提方法的有效性。

关键词: 节能调度, 集成优化, 设备状态控制, 柔性作业车间, 多目标优化算法