Keynote Speakers

magdalena1Magdalena Osińska

Professor: Nicolaus Copernicus University of Torun, Poland

Editor in Chief: Statistical Review



Biography: She graduated in economics in 1987. She obtained a PhD degree in 1994 and a habilitation degree in 2000 with specialization of econometrics; both at Nicolaus Copernicus University (NCU) of Torun, Poland. Since 2009 she is full professor in economics. Since 2011 she is the Head of Doctoral Studies in Economics, Finance and Management at the Faculty of Economic Sciences and Management NC University in Torun. Since 2012 Prof. Osinska has been an expert of Polish Accreditation Committee (for study program assessment) and an international expert for quality assurance in Lithuania. Furthermore she was a member of the team for the AACSB accreditation for NC University (succeeded in 2015).

She was an advisor for 9 doctoral thesis and a reviewer of 22. She was the leader of various research teams, awarded by the Rector of the NCU for research activity.

Her publication activity is related to the subject of time series analysis, econometric modeling, financial econometrics and logistics and transportation. She published 109 research articles and 8 books, among them Financial econometrics (a book, Polish Economic Publ. 2006) and On the Interpretation of Granger Causality (Dyn. Econometric Models; 2011) became most widely cited. In the last years her research interest has been concentrated on risk measurement in logistics. In the years 2010-2012 Prof. Osinska prepared three independent reports about the impact of the newly introduced electronic toll collect system on financial situation of Polish road transport enterprises upon request of the Association of International Road Transport Operators (ZMPD) in Poland, Warsaw.

Her teaching experience consists of lectures in the following areas: Econometrics, Applied Econometrics, Financial Econometrics, Business Forecasting,  Basic Statistics and Statistics in Management, Statistics in Audit, Economic Analysis in Transportation for graduates, post graduates and MBA level (in cooperation with Dominican University of Chicago, USA), Causality Analysis in Economics at PhD level. She was a supervisor of 293 MA theses and 240 BA theses.

Title: Quality of information in logistics and methods of its analysis

Abstract :  The problem of information in logistics is crucial for operational realization of a supply chain tasks. At present the amount of information is huge due to a great popularity and availability of information systems that are stored in different ways (i.e. in a cloud). However sources and availability of information are different that creates threats of non-satisfying all the logistic obligations at each stage of the supply chain and generating additional costs. Particularly the division on internal and external information sources seems to be of a great importance. The purpose of the presentation is to identify possible sources of discrepancy between a “true” information and a “false” information that occur in a logistic system. A long-term-impact and a short-term-impact information will be then defined and discussed. As a result, a general model of informational risk in a logistic system, combining both: sources of risk and methods of its measurement will be analyzed. Two case studies will be also provided. One of them concerns logistics in a medical care and the second is related to transportation.

Chengbin CHUChengbin Chu

Professor: CentraleSupélec, Université Paris-Saclay, France

Director/Chair Professor of Supply Chain Management


Biography: Chengbin Chu received the B.Sc. degree in Electrical Engineering from Hefei University of Technology, Hefei, China, in 1985 and the Ph.D. degree in Computer Science from Metz University, Metz, France, in 1990. He was with the National Research Institute in Computer Science and Automation (INRIA), France, as a Research Officer (chargé de recherche) from 1987 to 1996. He was a Professor with the University of Technology of Troyes, France, from 1996 to 2008, where he was also the Founding Director of the Industrial Systems Optimization Laboratory. He currently holds a Chair Position in Supply Chain Management at CentraleSupélec, Université Paris-Saclay, France, sponsored by Carrefour, LVMH, SAFRAN and SANOFI. He is interested in research areas related to operationsresearchand modeling, analysis,and optimization ofsupplychainandproduction systems. He is author or co-author of three books and more than 140 articles in international journals such as Operations Research, SIAM Journal of Computing, European Journal of Operational Research, IEEE Transactions on Robotics and Automation, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Systems, Man and Cybernetics, Parts A and C, International Journal of Production Research, Naval Research Logistics, and so on. He also published many papers in conference proceedings. For his research and application activities, he received the First Prize of Robert Faure Award in 1996. He also received the “1998 Best Transactions Paper Award” from the IEEE Robotics and Automation Society. Three of his articles have been awarded in international conferences. Dr. Chu was named “Chang Jiang Scholars Programme” Chair Professor by the Chinese Ministry of Education in 2005. He was an Overseas Visiting Professor and Overseas Director of the Department of Industrial Engineering at Xi’an Jiaotong University from 2006 to 2010. He is currently a Visiting Chair Professor at Tongji University, Shanghai, China. He served as an Associate Editor of the IEEE Transactions on Robotics and Automation from 2001 to 2004. He is currently an Associate Editor of the IEEE Transactions on Automation Science and Engineering and the IEEE Transactions on Industrial Informatics and a member of the Editorial Board of Computers & Industrial Engineering.

Title: Research issues in agile supply chains 

Abstract : In this talk, we discuss the concept of agile supply chains. Especially we present major concerns of practioners and the gap between their expectations and academic research, identify some interesting topics for academic research. To illustrate, we address a reallife problem in flexible quantity contrating between a supplier and a manufacturer, discuss its mathematical modeling under deterministic and stochastical settings and the challenges, present other relevant topics for future research.

Ruben RuizRubén Ruiz

Professor: Polytechnic University of Valencia, Spain




Biography: Rubén Ruiz is Full Professor of Statistics and Operations Research at the Polytechnic University of Valencia, Spain. He is co-author of more than 50 papers in International Journals and has participated in presentations of more than a hundred papers in national and international conferences. He is editor of the Elsevier’s journal Operations Research Perspectives (ORP) and co-editor of the JCR-listed journal European Journal of Industrial Engineering (EJIE). He is also associate editor of other important journals like TOP or Applied Mathematics and Computation as well as member of the editorial boards of several journals most notably European Journal of Operational Research and Computers and Operations Research. He is the director of the Applied Optimization Systems Group (SOA, at the Instituto Tecnológico de Informática (ITI, where he his or has been principal investigator of several public research projects as well as privately funded projects with industrial companies. His research interests include scheduling and routing in real life scenarios.

Title: Realistic scheduling with simple metaheuristics

Abstract :  In practice, industrial finite capacity scheduling problems are complex and varied, as it is the nature of the products being manufactured. After all, a car (and its manufacturing process) has little in common with a toothbrush, to name just one example. Expectedly, the resulting scheduling problems of different products, differ wildly and so do the needed scheduling algorithms. Furthermore, developing scheduling methods for each different manufacturing problem is extremely time consuming.Such scheduling algorithms, even if successful, are hardly a viable choice as continuous changes in products, machines, tooling, processes, methodologies,etc. might render them quickly obsolete. A potential solution to this situation is to employ simple metaheuristics without too much problem-specific knowledge and working on a problem agnosticsolution representation abstraction. Effective metaheuristics might still produce state-of-the-art results on most situations and can result in good solutions for instances of realistic size in a matter of minutes.In this presentation, we will introduce simple metaheuristics based on the Iterated Greedy (IG) principles. These methods are inherently simple with very few parameters. They are easy to code and results are easy to reproduce. We will show that for all tested problems so far they showstate-of-the-art performance despite their simplicity. Special emphasis will be put on realistic scheduling problems coming from several industrial applications. We will move from flowshops to real hybrid flexible flowline problems with several side constraints.We will defend the choice of simpler, yet good performing approaches over complicated metaphor-based algorithms in a solid attempt to close the long-standing research gap between the theory and the practice of scheduling.