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Abstract and Bio Speakers NGB/LNMB Seminar

Back to school,
learn about the latest developments in Operations Research

Michel Mandjes (University of Amsterdam, CWI)

Short Bio: Michel Mandjes received M.Sc. (in both mathematics and econometrics) and Ph.D. degrees from the Vrije Universiteit (VU), Amsterdam, the Netherlands. After having worked as a member of technical staff at KPN Research (Leidschendam, the Netherlands) and Bell Laboratories/Lucent Technologies (Murray Hill NJ, USA), as a part-time full professor at the University of Twente, and as department head at CWI, Amsterdam, he currently holds a full professorship (chair of Applied Probability) at the University of Amsterdam, the Netherlands. He is also affiliated as an advisor with EURANDOM, Eindhoven, the Netherlands, and as a guest with CWI. In 2008, Mandjes spent a sabbatical at Stanford. His research interests include performance analysis of communication networks, queueing theory, advanced simulation methods, Gaussian traffic models, traffic management and control, and pricing in multi-service networks. He is the author of "Large Deviations for Gaussian Queues", Wiley, 2007, and he coauthored a book on Levy Fluctuation Theory, Springer, 2015. He is the main applicant and project leader of the NWO Gravitation grant NETWORKS.

Title: Scaling Limits for Stochastic Networks

Abstract: In this talk I will sketch a body of recent results obtained in the context of a stochastic network of dependently operating resources. These could be thought of to represent real-life networks of all sorts, such as traffic or communication networks, but I will point out that this setup is also highly relevant in economic and biological applications. For such large networks, one would typically like to describe their dynamic behavior, and to devise procedures that can deal with various undesired events (link failures, sudden overload, etc.). I will show how for systems that do not allow explicit analyses, various parameter scalings help shedding light on their behavior. More specifically, I discuss situations in which the time-scale corresponding to the fluctuations of the available resources differs from that of the fluctuations of the customer's demand, leading to various appealing limit results.

Ana Barros (TNO/NLDA)

Short Bio: A.I. Barros is principal scientist at TNO, Senior Research Fellow at the Netherlands Defence Academy (NLDA) and examiner for the Dutch Police Academy. After completing her Master degree on Operational Research and Statistics at the University of Lisbon, she obtained a PhD degree at the Erasmus University Rotterdam in 1995. In the last eighteen years she has been involved in a wide scope of military and security operational research projects in national and international fora varying from intelligence analysis, command and control, to logistics modeling, including strategic/operational mission planning. Besides being an author of numerous papers her academic experience also includes supervision of several Master and PhD. students, as well teaching, as part of the regular curriculum at several Universities, the Netherlands Defense Academy and the Dutch Police Academy.

Title: The power of social network analysis

Abstract: Today' interconnected society yields the need to better analyse and study the underlying networks. As such it is not surprising that Social network analysis is widely used in the social and behavioural sciences, as well as in economics, marketing, biology and security. By investigating social structures through, among others, the use of network and graph theory, social network analysis provides unexpected new insights as this presentation will show.

Pieter Cornelisse (KLM)

Short Bio: Pieter Cornelisse works at KLM since 1988 and had several functions within Engineering & Maintenance, Sales, Marketing, Information Services, Network, and the Passenger Business.
His core competence is a broad understanding of aircraft economics, how to "market" the product, and the airline's strategy. He has more than 7 years experience in developing new destinations, and optimizing existing routes with the exploitation as key driver of routes including short- and long-haul stretches. Furthermore, he has been closely involved during two major "Wave" migration projects for the hub-network of KLM at Schiphol.
Currently, he is Vice President Mainport Strategy at KLM and leads a staff department (14 employees) that sets up proposals for the strategic positioning of the KLM network at mainport Schiphol. The main focus of the department is to formulate the strategic positioning for accommodating the KLM network at Schiphol airport, through setting up the demand for capacity and the "translation" into the needed infrastructure for the mid- and long-term period. Strategic Schiphol related matters, and their interrelation, are being monitored by his team continuously. Through participation in the consultation process for the Airport Charges Schiphol, the team safeguards that the company's formulated requirements are addressed properly in order to have the ground infrastructure and the right airport layout available for the Hub-network in time and at a competitive cost level. The Vice President Mainport Strategy reports to the Board directly.

Title: The hub-network of KLM: importance and succesfactors

Abstract: KLM is proud on their large worldwide network and its contribution to the Dutch economy. A strong and powerful hub supports the Dutch economic position in the worldwide competition and the regional and national job market. Based on the network of KLM and their partners Schipol belongs to the four largest mainports of Europe.
A large fraction of the air transport at Schipol is carried out by the KLM group and their SkyTeam partners. By this Schipol was able to develop itself to a competing hub-airport. However, the size and the diversity of the Schipol hub-network is not self-evident. It is even rather vulnerable, due to the hard international competition, the used transfer hub-model and the small home market of KLM. The success of the mainport Schipol is to a larger extend depending on the (operational) cooperation between the network carrier (KLM), the airport Schipol, the air traffic control Netherland and the government.
This presentation starts with a description of the importance of the mainport Schipol for the Dutch economy and the contribution of KLM herein. Next, the building blocks of the KLM network and the business model of KLM are given. Finally, the infrastructural constraints following from the hub-network of KLM and the importance of a good collaboration between the different actors are discussed.

Rommert Dekker (Erasmus University Rotterdam)

Short Bio: Rommert Dekker is a professor of operations research, quantitative logistics, and IT at the Erasmus School of Economics (ESE). He currently leads an industry-sponsored research program on service logistics.
He has received numerous accolades for his research including ERIM's impact award which honours ERIM researchers who have successfully impacted management practice and the OR Society's Goodeeve medal for best applied paper.
Professor Dekker began his career working at Shell Research. During his seven years at the company he published over 100 papers on topics including reverse logistics, service logistics, inventory control, maintenance optimisation, container logistics and transport optimisation. He was also co-founder of the well-known network for reverse logistics REVLOG.

Title: Design and analysis of container liner shipping networks

Abstract: Container shipping lines operate worldwide networks under a fixed schedule, just like railway companies and airlines. With an increasing ship size and containerization the costs to transport goods through these networks have been lowered substantially over time and hence these networks have been a main driver behind globalization. In this lecture we present mathematical models to design and analyze such a network for a given cargo demand matrix. In such a network one has to specify the line structure, the transshipment ports, the ship type, the ship speed and the call frequency, which makes it very complex. The line structure consists of a cyclic list of ports to be visited by a ship in course of time. As the total number of ports worldwide is very large (over 100) it will be clear that there are a lot of combinations possible. The shipping line network problem is therefore more complex than the airline network problem, where planes fly often back and forth to a hub. Accordingly only in the last decade mathematical formulations have appeared for liner shipping networks. We will give an illustration of the methods for the case of connecting Indonesian ports. Finally we also list a number of open problems, like incorporating transit time in the demand function, treating networks under competition and demand uncertainty.

Jan van Doremalen (CQM)

Short Bio: After a graduation in mathematics at the University of Technology Eindhoven, Jan van Doremalen attained a Ph.D. defending a thesis on the analysis of queuing network systems at the same university. As a consultant for the Centre for Quantitative Methods CQM, at that time a staff department of Philips Electronics NV, he specialized in the application of operations research techniques to a wide range of business issues in the period of 1986 through 1990. He then joined the Philips Research Lab in Briarcliff Manor (NY) as a senior member of research staff. There Jan van Doremalen was the bridge between the research staff and the operational units of Philips in the US. In 1993 he joined the buy-out of CQM and became a team leader and member of the management team. Since that time he has specialized in the application of soft and hard operations research techniques to the (re)design and improvement of logistics processes and systems working on strategic, tactical, and operational issues. As a team leader Jan van Doremalen is responsible for a group of 10 consultants.

Title:Supply Network Analytics - Operations Research in the Supply Chain

Abstract: My talk will be about applying operations research techniques to business challenges in the supply chain a creative and value adding way.
The applications will include some or all of the below
- integral goods flow control using multi-echelon inventory control theory
- optimal supply chain design using mixed integer programming
- optimal allocation of service engineers using heuristic search techniques,
- spare parts management using spare parts inventory control theory
- robust supply chain design using queueing theory


Richa Malhotra (SURFnet)

Short Bio: Richa Malhotra holds a BSc degree in Mathematics from the Indian Institute of Technology, Kharagpur, India, a MSc degree (Distinction, 1999) in Applied Mathematics and a PhD degree (2008) in Computer Science both from the University of Twente, the Netherlands. From 1999 till 2009 she was a Member of Technical Staff at Bell Labs, Lucent Technologies and later Alcatel-Lucent, where she performed research on network protocols and algorithms for both wired and wireless networks. Since May 2009 she is working at SURFnet. She was initially a network architect involved in the network design and architectural activities of the SURFnet network. She also co-ordinated the research activities with respect to network modeling, design and performance. She is currently a product manager for network services at SURFnet responsible for developing and managing SURFnet's network service portfolio. She has authored numerous publications and holds several patents.

Title: Design and operational challenges of communication networks

Abstract: The talk will start by providing an overview of the SURFnet network which is the National Research and Education Network (NREN) in the Netherlands. Besides operating such a network, SURFnet also continuously innovates its network to improve the quality of research and education. This combination of innovation and providing a reliable and robust network connectivity pose special challenges for SURFnet. Furthermore, new trends such as cloud computing and outsourcing of ICT are demanding new service features and agility from the network. The talk will provide an overview of challenges these trends are posing for the network and highlight issues which could be addressed using mathematical models and analysis.

Maaike Snelder (TNO and TU Delft)

Short Bio: Since 2011, Maaike Snelder has been a part time assistant professor at the Department of Transport and Planning, Civil Engineering at the Delft University of Technology. Besides this, she has been employed at TNO since 2004. Maaike has a broad experience in acquiring , managing and executing projects. Her work focuses on the robustness of road networks and the reliability of travel times. She also has a broad experience in the development, application and testing of static and dynamic online and real-time traffic and transport models for road traffic and inland waterways. For example, in 2013 she oversaw the development of the first real-time waterway traffic model for the canals of Amsterdam and currently she leads the development of realtime short-term travel time prediction models based on a smart routing advice given in the context of the 'Praktijkproef' (field trial) in Amsterdam. Maaike has a background in Econometrics. In addition to her work at TNO she completed her PhD research on designing robust road networks in 2005-2010 (cum laude).

Title: Towards data-driven models for the mobility system

Abstract: For decades experts in the field of transportation have used traffic and transport models to describe and predict mobility patterns and traffic conditions. Most of these models mainly use 'static' data of regions as input and the models are validated based on questionnaires and average workday traffic counts. In the past years, large open data sources have allowed for a paradigm shift towards more data-driven modelling. Large real-time loop-detector, floating device and camera data sets enable us to use the data as a starting point to develop real-time self-learning models. These data-driven models give more improved insights for strategic measures and tactical and operational traffic management. In this presentation traffic and transport models are briefly introduced and examples are given of data driven models for the road network and for the canals of Amsterdam.