The Beta Research School for Operations Management and Logistics is a national university research school that educates PhD students and in which several scientific disciplines contribute to a deeper understanding of the performance of operational processes. These disciplines range from mathematics and computer science to labor psychology and organizational behavior. Each of these disciplines provides additional scientific knowledge necessary for the analysis, design and control of operational processes. As operational processes only exist in practice, Beta emphasizes science-based engineering of solutions and empirical validation of these solutions. The Beta PhD education program reflects the multidisciplinary nature of research within Beta, while providing the disciplinary depth necessary to contribute to science.
In Beta researchers of two Dutch universities work together. The Beta Research School combines research by several groups of the department of Industrial Engineering & Innovation Sciences (IE&IS), the department of Mathematics and Computer Science (MCS) and the department of Mechanical Engineering at Eindhoven University of Technology (TU/e), and the Center for Telematica and Information Technology (CTIT) of the University of Twente (UT). About 80 researchers and over 70 PhD students participate in Beta.
Beta has officially been recognized by the Royal Dutch Academy for Sciences (KNAW) since 1998.
The Data-Driven Operations Management workshop, organized Beta and Eurandom, is taking place at Eurandom on October 24-26, 2016.
Location: Eurandom, Eindhoven University of Technology, the Netherlands
Dates: October 24, 25 and 26 2016
Workshop description: We identify a noticeable paradigm shift in Operations Management problems towards an integration of statistics and Operations Management. This shift can be mainly attributed to technological developments, such as the Internet of Things, sensor technology, and social networks. With the aforementioned developments, all kind of data becomes highly available and may be exploited so as to lead to better strategic, tactical, and operational decisions. For example, one may decide to reschedule activities more often at the operational decision level so as to minimize performance costs, or one may use the available data so as to come to better forecasts for demand, or one may use the available data for failure prediction of equipment, or one may be better able to distinguish customer groups, and so on and so forth. The workshop will focus on the following practical application Data-Driven Operations Management areas: behavioral operations management, production, maintenance and inventory management, retail, health-care operations, road traffic and communication networks, logistics and revenue management. The aim of the workshop is to identify the relevant methodological needs within the interface of statistics and operations management and to bridge the corresponding scientific communities. Our focus will be on answering questions such as: What are the new performance evaluation and decision problems that one obtains by the use of the extra data? How can these problems be solved? What is the value of the extra data? Do we need new methodologies to study these problems, e.g., methods that combine statistics and operations research? How do we interpret decisions based on statistical data, e.g., how do we deal with the risk involved and should there be a behavioral operations research/management?
Keynote speakers (alphabetical order): Alexander Goldenshluger (University of Haifa), Georg Pflug (Universität Wien), George Shanthikumar (Purdue University)
Organisers: Alp Akcay (Eindhoven University of Technology), Jasper Goseling (Twente University), Bernd Heidergott (Vrije Universiteit), Stella Kapodistria (Eindhoven University of Technology)