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A Simulation-based Methodology for Lot-size Optimization

机译:基于模拟的批量优化方法

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In the process of lot size optimization, various factors such as machine capability and parts assembly lead time need to be considered. Within small batch and multi-items production environment, kitting parts entering to assembly systems in time may valid shorten product manufacturing period, and reduce the quantity of work-in-process (WIP). This paper built up a mathematical model with the objective function of reducing set up costs, shortening cycle of part production and reducing WIP and with constraints of machine capabilities, part process planning and kitting requirement. An object-oriented simulation model is established to control the behavior of logistics objects to meet the target functions through rules aggregation and constraints at the control points, resulting in an optimal production result.
机译:在批次优化的过程中,需要考虑各种因素,例如机器能力和零件组装提前期。在小型批量和多件生产环境中,KITTET部件及时进入装配系统可能有效缩短产品制造期,并减少工程工作量(WIP)。本文建立了一种数学模型,具有降低建立成本,缩短零件生产的循环和减少机器能力,零件过程规划和试剂盒需求的限制。建立面向对象的仿真模型来控制物流对象的行为通过控制点的规则聚合和约束来满足目标功能,从而导致最佳的生产结果。

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