A dependent-chance programming model for proactive scheduling

作者：Ke Hua; Wang Lei^*; Huang Hu

来源：Journal of Dong Hua University (english Edition), 2015, 32(2): 199-202.

• Activity duration
• Dependent-chance programming
• Dependent-chance programming model
• Expected value model
• Hybrid intelligent algorithms
• Proactive scheduling
• Project scheduling
• Stochastic simulations

Proactive scheduling based on expected value model is an effective method to develop robust schedules in consideration of minimizing project cost caused by deviations between realized and planed activity starting times. However, these schedules may be realized with low probabilities. In this paper, a novel model based on dependent-chance programming (DCP) is proposed, considering probability as well as solution robustness. A hybrid intelligent algorithm integrating stochastic simulation and genetic algorithm (GA) is designed to solve the proposed model. Moreover, a numerical example is conducted to reveal the effectiveness of the proposed model and the algorithm.

• 出版日期2015-4-30
• 单位同济大学