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基于价值密度的Job-shop车间生产计划控制
引用本文:崔峻华,陈进,邓玉锋,刘琴.基于价值密度的Job-shop车间生产计划控制[J].计算机系统应用,2015,24(6):1-7.
作者姓名:崔峻华  陈进  邓玉锋  刘琴
作者单位:江南大学机械工程学院,无锡,214122
摘    要:针对离散型生产中工艺路线不确定,工时不准确,加工中变化快,物流速度快的生产现状,提出计划期内生产的价值作为追求目标,排产不必追求任务完成的时间节点,而应制定投产的顺序,以保证企业在单位时间内实现的价值最高,即价值密度作为排产依据。确定车间的瓶颈设备之后,通过排产保证该设备前面有足够的零部件等待加工,将人力资源和设备混合排产,在动态中实现任务计划的改变、时间窗口的锁定或拒绝,兼顾了订单的重要性和交货时间,发挥出了车间设备的最大能力。每个任务的计算量仅有一次,特别适合动态中的快速排产。

关 键 词:离散型生产  约束理论  价值密度  动态  生产计划
收稿时间:2014/9/25 0:00:00
修稿时间:2014/10/24 0:00:00

Workshop Production Planning Control Based on the Value Density of Job-shop
CUI Jun-Hu,CHEN Jin,DENG Yu-Feng and LIU Qin.Workshop Production Planning Control Based on the Value Density of Job-shop[J].Computer Systems& Applications,2015,24(6):1-7.
Authors:CUI Jun-Hu  CHEN Jin  DENG Yu-Feng and LIU Qin
Affiliation:School of Mechanical Engineering, Jiangnan University, Wuxi 214122, China;School of Mechanical Engineering, Jiangnan University, Wuxi 214122, China;School of Mechanical Engineering, Jiangnan University, Wuxi 214122, China;School of Mechanical Engineering, Jiangnan University, Wuxi 214122, China
Abstract:To solve the problems of route uncertainty, inaccuracy of work time, fast changes of the process and fast logistics in the status of discrete production process, a method is proposed that makes the value of production in plan period as the pursuit goals. The completion time node is not needed to be pursued in schedule but the production order. So that enterprise can get the highest value in unit time, namely making production scheduling based on the value density. After determining the bottleneck of workshop equipment, this method ensures that there are enough parts for processing in front of the equipment through scheduling and mixes human resources and equipment in scheduling, making implementation of task changes and lock or refuse of time window in dynamic status. Both the importance of order and time of delivery are considered in order to make full use of the workshop equipment capacity. Each task is computed for only one time, which is especially suitable for rapid production scheduling in dynamics.
Keywords:discrete production  constraint theory  value density  dynamic  production scheduling
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