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首页> 外文会议>International conference on precision engineering;Sino-Japan joint seminar on ultraprecision technology;ICPE;SJSUT; 19960923-25;19960923-25;19960923-25;19960923-25; Shenyang(CN);Shenyang(CN);Shenyang(CN);Shenyang(CN) >Simulation on the Machine Tools Arrangement in the Random Production Process
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Simulation on the Machine Tools Arrangement in the Random Production Process

机译：随机生产过程中机床布置的仿真

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摘要

In general, an enterprise's production process includes: Order => Production Plan => Manufaqturing => Sale, in which order form arrival and manufacturing encompass many random events. An order comes into a factory at random and each equipment's machining time is indefinite, therefore a production process can be hardly forseen and controlled because of these random elements. In order not to postpone the date of delivery, an organization ususlly has to quicken the schedule by the way to add shifts, which brings about the rise of production cost and the unbalance of production arrangement. In this paper, a concrete simulation method for production process is put forward, which is based on queuing theory with the help of the Monte Carlo method. This simulation starts from the order, then makes parts pass through every machine tool one by one according to the machine tool sequence which the traveller determined, finally totals the waiting time of elements for each machine tool and the idle time of machine tools to find out the "bottleneck" in processing route, then adds machine tool to simulate again. This simulation program can automatically select the idle ones to machine parts from the same functional machine tools. At last a set of more satisfactory machine tools can be determined and the production course can be foreseen.
机译：通常，企业的生产过程包括：订单=>生产计划=>制造=>销售，其中订单的到达和制造包含许多随机事件。订单随机送到工厂，每个设备的加工时间不确定，因此由于这些随机因素，很难预见和控制生产过程。为了不推迟交货日期，组织通常不得不通过增加班次的方式加快进度，这导致生产成本的上升和生产安排的不平衡。本文提出了一种具体的生产过程仿真方法，该方法基于排队论，并借助蒙特卡洛方法。该模拟从顺序开始，然后根据行进者确定的机床顺序使零件逐个通过每个机床，最后将每个机床的元素等待时间和机床的空闲时间相加加工过程中的“瓶颈”，然后添加机床再次进行仿真。该仿真程序可以从相同功能的机床上自动选择闲置零件来加工零件。最后，可以确定一组更令人满意的机床，并可以预见生产过程。

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