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回收件质量的不确定性使得再制造的加工路径、工序工时具有随机性,极大地增加了生产调度的难度。研究分派规则和回收件输入序列对再制造系统性能和生产调度的影响。采用C++语言编制再制造系统调度仿真程序,用来模拟再制造系统动态运行过程,并求解再制造系统的性能指标。在分析再制造生产线特性的基础上,设计了总流程时间最小、跳跃次数最小等多种分派规则,通过实验设计分析不同规则对生产线性能的影响,评估各分派规则的优劣及其适应性;采用改进的离散人工蜂群算法进行寻优,以获取最优回收件输入序列。通过与标杆Nawaz-Enscore-Ham(NEH)规则的对比分析,验证提出的改进人工蜂群算法在再制造系统生产调度中的有效性。
Uncertainty of the quality of the recovered parts makes the processing path of remanufacturing and the working hours of the process have randomness, which greatly increases the difficulty of production scheduling. The effects of distribution rules and input sequences of recycle on the remanufacturing system performance and production scheduling are studied. C + + language remanufacturing system scheduling simulation program, used to simulate the remanufacturing system dynamic operation process, and to solve the remanufacturing system performance indicators. Based on the analysis of the characteristics of the remanufacturing production line, the distributive rules such as the minimum total flow time and the minimum number of jumps are designed. The influence of different rules on the performance of the production line is analyzed through experimental design, and the advantages and disadvantages of each distribution rule and its adaptability are evaluated. The improved discrete artificial bee colony algorithm is used to optimize the input sequence to get the best recycling item. By comparing with the standard Nawaz-Enscore-Ham (NEH) rule, the validity of the proposed improved ABC algorithm in the production scheduling of remanufactured systems is verified.