管理评论 ›› 2022, Vol. 34 ›› Issue (10): 201-208.

• 组织与战略管理 • 上一篇    下一篇

基于状态转移预测的关键链活动监控周期确定

张俊光, 张旭   

  1. 北京科技大学经济管理学院, 北京 100083
  • 收稿日期:2020-04-22 出版日期:2022-10-28 发布日期:2022-11-24
  • 作者简介:张俊光,北京科技大学经济管理学院教授,博士生导师,博士;张旭,北京科技大学经济管理学院硕士研究生。
  • 基金资助:
    国家自然科学基金项目(71572010)。

Determination of Critical Chain Activity Monitoring Cycle Based on State Transition Prediction

Zhang Junguang, Zhang Xu   

  1. School of Economics and Management, University of Science and Technology Beijing, Beijing 100083
  • Received:2020-04-22 Online:2022-10-28 Published:2022-11-24

摘要: 项目执行过程中管理者无法实时监控项目,为此研究了一种周期性项目缓冲监控的模型。该模型考虑了通过设置预警阀值进行缓冲监控的不足,在缓冲监控领域提出了监控周期的概念。基于马尔科夫链预测活动状态概率和转移概率,根据活动状态转移情况对突发事故采取合理的应急处理措施,以活动成本和工期综合效用为优化目标确定活动的最优监控周期。仿真实验表明,该模型能够有效提升项目应对突发事件的鲁棒性、避免监控资源和成本浪费并突出监控重点,实现缩短工期和减少成本的双重优化目标。

关键词: 项目管理, 关键链, 缓冲监控, 监控周期, 马尔科夫链

Abstract: Given the fact that real-time monitoring of a project being implemented is impossible for managers, we propose a periodical project buffer monitoring method. The new method fully considers the shortage of setting warning threshold for real-time buffer monitoring, and proposes the concept of monitoring cycle in the field of buffer monitoring. The proposed method predicts the probability of active state and transition based on Markov chain, then takes reasonable emergency measures according to the activity state transition situation, and determines the optimal monitoring period with the lowest total activity cost and the shortest activity duration as the optimization objective. The Monte Carlo simulation experiment is eventually carried out to validate the model system. The results show that, as opposed to the classic buffer monitoring methods, the proposed method can effectively improve the robustness of a project in response to emergencies, avoid the waste of monitoring resources and cost, and highlight the monitoring focus, thus achieving the double optimization of project duration and cost under the premise of guaranteeing the completion probability.

Key words: project management, critical chain, buffer monitoring, monitoring period, Markov chain