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Maximising the Net Present Value for Resource-Constrained Project Scheduling

机译:为资源受限的项目计划最大化净现值

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The Resource-constrained Project Scheduling Problem (Rcpsp), in which a schedule must obey the resource constraints and the precedence constraints between pairs of activities, is one of the most studied scheduling problems. An important variation of the problem (RcpspDc) is to find a schedule which maximises the net present value (discounted cash flow), when every activity has a given cash flow associated with it. Given the success of lazy clause generation (Lcg) approaches to solve Rcpsp with and without generalised precedence relations it seems worthwhile investigating Log's use on RcpspDc. To do so, we must construct propagators for the net-present-value constraint that explain their propagation to the Lcg solver. In this paper we construct three different propagators for net-present-value constraints, and show how they can be used to rapidly solve RcpspDc.
机译:资源受约束的项目计划问题(Rcpsp)是计划中最受关注的计划问题之一,其中计划必须遵循资源约束和活动对之间的优先约束。该问题(RcpspDc)的一个重要变化是,当每个活动都具有给定的现金流时,找到一个使净现值(折现现金流)最大化的时间表。考虑到在有和没有广义优先关系的情况下,懒惰子句生成(Lcg)方法成功地解决了Rcpsp,似乎值得研究Log在RcpspDc上的用法。为此,我们必须为净现值约束构造传播子,以解释它们向Lcg求解器的传播。在本文中,我们针对净现值约束构造了三种不同的传播子,并展示了如何将它们用于快速求解RcpspDc。

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