报告1题目：Getting your paper published - A personal perspective for the field of Operations Research

报告2题目：A model for scheduling with activity failures

报告时间：2018年7月5号（周四）14:30-17:30

报告地点：大学城校区工学二号馆614室

Biography：

Roel Leus is professor of Operations Research at the Department of Decision Sciences and Information Management, which is part of the Faculty of Economics and Business of KU Leuven (the University of Leuven, Belgium). During the period 2012-2016, he was also the head of the research group ORSTAT (Operations Research and Business Statistics). He currently serves as the program director of the Business Engineering programs of his faculty. Prof. Roel Leus received his PhD degree in Applied Economics from KU Leuven in 2003. His research interests are diverse in the field of operations research and operations management, in particular sequencing and scheduling, project planning, scheduling under uncertainty, discrete optimization, capacity management, decision making under uncertainty, and practical quantitative decision support. Up to now, Roel Leus has published over 60 papers in international journals such as Production and Operations Management, Journal of Operations Management, INFORMS Journal on Computing, IIE Transactions, Decision Sciences, Naval Research Logistics, European Journal of Operational Research, Journal of Scheduling, etc. He has 1424 citations (h-index 18) according to Thomson Web of Science and 4377 citations (h-index 25) according to Google scholar. Prof. Roel Leus is currently also associate editor of the journal OR Spectrum, and special-issue editor of the Journal of Scheduling.

Abstract of presentation 1:

With more than 60 articles published in international journals, Roel Leus is an experienced author in the field of Operations Research. The goal of this seminar is to provide some tips and tricks for getting your paper published. Although we focus mostly on the field of Operations Research, we will also include a number of suggestions that are not specific for this particular field.

Abstract of presentation 2:

An R&D project typically consists of several stages. Due to technological risks, the project may have to be terminated before completion, each stage having a specific likelihood of success. In the project planning and scheduling literature, this technological uncertainty has typically been ignored and project plans are developed only for scenarios in which the project succeeds. In this work we examine how to schedule projects in order to maximize their expected net present value when the project activities have a probability of failure and when an activity’s failure leads to overall project termination. We describe a general model, develop an exact algorithm and establish a link with stochastic scheduling.