A HYBRID GENETIC ALGORITHM FOR RESOURCE-CONSTRAINED PROJECT SCHEDULING WITH STOCHASTIC OVERLAPPING MODES

摘要：

　　In new product Research and Development (R&D) project, the project makespan is often shortened through activities overlapping.However, overlapping will bring rework risk, and lead to additional time and resource consumption.Here, we investigate resource-constrained project scheduling problems with stochastic overlapping modes, with an objective of minimizing the expected project makespan.First, an optimization model is established.Then, we design a hybrid simulation based genetic algorithm to solve the problem.Lastly, a project management example is given to demonstrate the efficiency of our provided algorithm.

关键词： Project scheduling Genetic Algorithm Activity overlapping Overlapping modes Rework risk

作者: Fang Xie Jing Yu Zhe Xu

作者单位: School of Economics and Management, Beihang University, Beijing 100191, China

会议类型: 国际会议

会议名称: The 12th International Conference on Industrial Management(第十二届工业管理国际会议)

会议地点: 成都

会议语种:英文

页码: 286-289

在线出版日期: 2014-09-03（万方平台首次上网日期，不代表论文的发表时间）