Traditional leveling algorithm is confined to such simple situations as activities with single-mode, finish -to-start precedence relations with zero time-lags between a pair of activities, and conventional allocation mode of resource. However, all of these are not conform to practical working mode between activities and resource. Based on the analysis about practical working mode between activities and resource, some studies are made in this paper, including types of generalized precedence relations, features of activities with multi-mode, and unconventional allocation mode of discrete resource. Then, constraints between a pair of activities with generalized precedence relations are established, and the distribution relation between resource and time is also set up. A leveling optimization model for activities with multi-mode and unconventional allocation of discrete resource is constructed under generalized precedence relations. It is demonstrated by examples and comparative analysis that this optimization model is good in effectiveness and practicality.%传统的均衡算法只是局限于活动单模式,活动间无延迟的完成到开始时序关系以及资源常规配置模式等简单的执行情况,而这些与活动和资源的实际工作模式并不相符.本文在分析了活动与资源实际工作模式的基础上,研究了活动间广义时序关系的类型、活动多模式以及离散型资源非常规配置模式的特点,建立了广义时序关系下的活动间约束关系和资源与时间之间的分布关系,构建了广义时序关系下活动多模式与离散型资源非常规配置的均衡优化模型.通过算例分析及对比分析,验证表明该优化模型具有较好的有效性和实用性.
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