论文部分内容阅读
在考虑员工学习率和相邻工序间搬运时间的基础上,对人工作业系统的批量加工模式进行研究.以严格理论证明的方式给出小组作业模式和生产线作业模式的批量零件生产周期公式;在给定算例的情况下,得出与传统模型不同的结果:小组作业模式具有最短的生产周期.建立各道工艺工序和运输工序加工与搬运时间模型,分析搬运设备每次搬运的零件数量,并设计运输工序所需搬运设备数量的全局优化算法.决策者利用时间模型和搬运设备每次搬运零件数量的信息,可以有效安排某批零件的加工与搬运任务;利用运输工序所需搬运设备数量的全局优化算法可求解运输工序所需搬运设备的最小数量,并可明确搬运设备的投入时间.
Based on the study of staff’s learning rate and the transit time between adjacent processes, the batch processing mode of manual operation system is studied, and the batch production cycle formula of group operation mode and production line operation mode is given in the way of rigorous theoretical proof. Given a case study, the result is different from the traditional model: the groupwork mode has the shortest production cycle.Establish each process and transport process processing and handling time model, analyze the handling equipment each handling parts , And design the global optimization algorithm for the number of handling equipment required in the transportation process.Due to the use of the time model and the information of the number of parts transported by the handling equipment, the decision-maker can effectively arrange the processing and handling tasks of a batch of parts; The number of global optimization algorithms solves the minimum number of handling equipment required for a shipping process and can specify the time invested in moving the equipment.