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A polynomial algorithm for a lot-sizing problem with backlogging, outsourcing and limited inventory

机译:一种用于积压,外包和库存有限的批量问题的多项式算法

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This paper addresses a real-life production planning problem arising in a manufacturer of luxury goods. This problem can be modeled as a single item dynamic lot-sizing model with backlogging, outsourcing and inventory capacity. Setup cost is included in the production cost function, and the production level at each period is unbounded. The holding, backlogging and outsourcing cost functions are assumed to be linear. The backlogging level at each period is also limited. The goal is to satisfy all demands in the planning horizon at minimal total cost. We show that this problem can be solved in O(T~4log T) time where T is the number of periods in the planning horizon.
机译:本文解决了奢侈品制造商中出现的实际生产计划问题。可以将此问题建模为具有积压,外包和库存容量的单项动态批量大小模型。设置成本包括在生产成本功能中,并且每个期间的生产水平都是不受限制的。持有,积压和外包成本函数假定为线性。每个时期的积压水平也受到限制。目标是以最小的总成本满足计划范围内的所有需求。我们证明了这个问题可以在O(T〜4log T)的时间内解决,其中T是计划范围内的周期数。

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