个人简介
Prof. Jun Lin
Prof. Jun Lin
Xi’an Jiaotong University, China
标题: Minimizing the Rework Time of Complex Projects with Design Structure Matrix (DSM)
摘要: 
Complex projects, such as product development projects, usually involve myriads of interrelated activities. Identifying an appropriate sequence of these activities is critical to project managers. Researchers have developed a series of methods to find a schedule minimizing the first order reworks of interrelated activities using design structure matrix (DSM). Differently, this study proposes an exact branch-and-prune algorithm and two local search heuristics to find a schedule minimizing both first-order and second-order reworks. Experimental results indicate that compared to the methods related to first order reworks only, the proposed methods perform better for the projects in multiple high-order rework situations that may occur in reality. Finally, our approach is illustrated by applying it to four practical instances.
简介: 
Jun Lin is a Professor of School of Management, Xi’an Jiaotong University. He got his joint Ph.D. from the National University of Singapore and the Eindhoven University of Technology (in Netherlands). Dr. Jun Lin was recognized as one of the top 22 China’s Highly-cited researchers in Decision Science by Elsevier. His research interests include “Internet +” business model, management and decision-making based on big data, new product and technology management. He has published more than 60 articles in refereed journals such as European Journal of Operational Research, IEEE Transactions on Engineering Management, International Journal of Production Research, International Journal of Information Management, European Management Journal, and Journal of Cleaner Production. He is a member of the Editorial Review Board of IEEE Transactions on Engineering Management, a leading journal of engineering management. He is a reviewer of more than 11 SCI / SSCI academic journals and a member of the Youth Work Committee of Systems Engineering Society of China. He has hosted 3 research projects supported by National Natural Science Foundation of China, and other 4 projects supported by Chinese government.