不确定环境下再制造生产调度研究

针对再制造过程中存在的再制造件质量状况和加工时间不确定性调度问题,分别采用随机数和三角模糊数表示质量状况和加工时间的不确定性。在满足工序顺序、机器等限制下,将各自带有权重系数的最大完工时间和总成本之和最小值当做目标函数,构造不确定环境下再制造生产调度模糊模型且转换成确定的单目标非线性规划模型。应用多层编码遗传算法求解某个再制造子系统算例得到,决策者对于最大完工时间和总成本的重视程度不同,调度方案不同,其需要根据自身关注的重点做出决策,选择合适的调度方案。并且调度结果会受到决策者消极或积极态度的影响,态度越积极,结果越好,反之,态度越消极,结果越差,从而检验了再制造生产调度模型的正确性。希望为再制造实现产业化,规模化提供相关参考意见。

Research on Remanufacturing Scheduling under Uncertain Conditions

Aiming at the scheduling problem in the remanufacturing process under uncertain conditions(quality condition of used parts and reprocessing time), the random numbers and triangular fuzzy numbers are used to represent the uncertainties of the quality condition and the reprocessing time respectively. The minimum value of the sum of makespan and total cost with weight coefficients respectively is regarded as objective function under the constraints of operation sequence and machine, and the fuzzy model of remanufacturing production scheduling under uncertain environment is constructed and converted into a deterministic single objective nonlinear programming model. An example of a remanufacturing subsystem is solved by using multilayer genetic algorithm. The results shows that the scheduling scheme depends on the decision makers’ different emphasis on the makespan and total cost. Therefore, it needes to make decisions according to the focus of its own attention and select the appropriate scheduling scheme. And the schedule results are influenced by the negative or positive attitude of decision maker. The more active the attitude is, the better the result is, and in contrast, the more negative the attitude is, the worse the result is. Thus, the correctness of the remanufacturing production scheduling model is verified. These investigations are expected to provide relevant reference for the industrialization and scale of remanufacturing.