報告時間：2021年1月6日（周三）下午3：30

報告地點：旭日樓306教室

報告主題：Optimal Intraproject Learning

報告簡介：

Motivated by a project management problem faced by the CBG of Huawei Corporation, we study the problem of intraproject learning, where information gained from certain completed tasks in a project may be used to complete similar later tasks in the same project more efficiently. While the project management literature suggests the potential value of using this information within the same project, our work is apparently the first to model and optimize intraproject learning.

We model the tradeoff between investing time in learning from completed tasks and achieving reduced durations for subsequent tasks, to minimize total project cost. We show intractability of the model and develop a heuristic that finds near optimal solutions and a strong relaxation that allows some learning from partially completed tasks. For the project at Huawei Corporation, our model and algorithm provide more than 20% improvement in project duration. In general, our model and algorithm provide learning solutions that enable reductions in project duration averaging 7% for projects with 40 tasks and 22% for those with 200 tasks. Our sensitivity analysis results identify project characteristics where intraproject learning is most beneficial, thus motivate project managers to understand and apply intraproject learning to improve the performance of their ongoing projects.

報告人簡介：

萬國華，現任上海交通大學安泰經濟與管理學院教授。主要研究興趣是：排序與調度的理論和算法、運營與供應鍊管理、企業信息管理。研究成果發表于Management Science, Operations Research, Mathematics of Operations Research, Production and Operations Management, INFORMS Journal on Computing等國際學術刊物。現任美國生産與運作管理學會（POMS）旗艦刊物Production and Operations Management的Senior Editor，Journal of Management Analytics的Associate Editor和《系統管理學報》編委，中國運籌學會常務理事/醫療管理分會理事長和上海市運籌學會副理事長。