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Resource Leveling Optimization for Multi-Mode Activities with Generalized Precedence Relations

机译:具有广义优先关系的多模式活动的资源调平优化

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Traditional leveling optimization algorithms are confined to such simple situations as single-mode activities and start-to-finish precedence relations with zero time-lag between a pair of activities. However, they are not correspondent with the practical working mode. In this paper, according to the analysis on practical working mode, types of generalized precedence relations between a pair of activities and characteristics of multi-mode activities are studied, and constraints between a pair of activities with generalized precedence relations are established, and an leveling optimization model for multi-mode activities with generalized precedence relations is also constructed. It is proved by examples and comparative analysis that this optimization model is good in effectiveness and practicality.
机译:传统的调平优化算法仅限于单模活动的简单情况,以及在一对活动之间的零时间滞后开始完成优先关系。但是,它们与实际工作模式没有记错。本文根据实际工作模式的分析,研究了一对活动与多模式活动的特征之间的广义优先关系类型,并建立了一对具有广义优先关系的活动之间的约束,以及一个平整还构建了具有广义优先关系的多模式活动的优化模型。通过实施例和比较分析证明了这种优化模型的有效性和实用性良好。

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