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METHOD FOR SIZING PRODUCTION LOT STARTS WITHIN A LINEAR SYSTEM PROGRAMMING ENVIRONMENT

机译:在线性系统编程环境中确定批量生产起点的方法

摘要

Allocating limited manufacturing resources to achieve a feasible production plan that is consistent with customer demand is a difficult and common problem faced in many manufacturing industries. For large-scale multi-stage manufacturing systems, existing methods are typically based either on allocating limited resources sequentially, according to a priority ranked list of production starts, or on linear programming based models. The output of such planning models is a production plan which specifies the quantity of each part to produce at each plant, using resources available to the enterprise. Typically there are lot-sizing rules defining the permissible production start quantities. The invention disclosed herein is a method for applying these rules to the lot-sizing of production starts within a linear program. It employs advanced heuristics that consider both established operational objectives (e.g. customer service, short lead times, low inventory, and prioritized allocation of supply and capacity) and lot-size rules to efficiently compute a feasible production plan for the division.
机译:在许多制造业中,分配有限的制造资源以实现符合客户需求的可行生产计划是一个困难而普遍的问题。对于大规模多阶段制造系统,现有方法通常基于根据生产开始的优先级排序列表顺序地分配有限的资源,或者基于基于线性规划的模型。这种计划模型的输出是一个生产计划,该计划使用企业可用的资源指定每个工厂要生产的每个零件的数量。通常,有很多规则来定义允许的生产开始数量。本文公开的发明是一种用于将这些规则应用于线性程序内的生产开始的批量确定的方法。它采用先进的启发式方法,同时考虑既定的运营目标(例如客户服务,较短的交货时间,较低的库存以及按优先顺序分配供应和产能)和批量规则,以有效计算该部门的可行生产计划。

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