jbJohn Bartholdi

Georgia Institute of Technology

John Bartholdi is the Manhattan Associates Chair in Supply Chain Management and the Director of the Research Program of the Supply Chain & Logistic Institute’s at the Stewart School of Industrial & Systems Engineering at Georgia Tech.

Self-coordinating buses improve service

The main challenge for an urban bus system is to maintain constant headways between successive buses.  Most bus systems try to adhere to a schedule, but the natural dynamics of the system tend to collapse headways so that buses travel in bunches.  We have devised a method of coordinating buses that abandons the idea of a target schedule or even any target headway and instead allows equal headways to emerge spontaneously. Read More


Fotografia-JClimaco v2João Carlos Namorado Clímaco

Universidade de Coimbra Portugal

João Carlos Namorado Clímaco is a Researcher and Member of Conselho Geral of INESC-Coimbra. Prof. Clímaco will be the key speaker for the RED-M event in CLAIO 2016.

Multi-­Criteria Analysis in Sustainability Assessment

The concept of sustainability development is still arguable. However, the major idea was established by the famous Brundtland Report characterizing it as “meeting the needs of the present without compromising the ability of future generations to meet their own needs”. Nowadays, sustainability is a multidimensional subject, involving social, economical and environmental conflicting issues and several actors. So, Multi-­‐Criteria Analysis is an adequate tool for Sustainability Assessment. Read More


foto philipePhilippe Chevalier

Université Catholique de Louvain

Philippe Chevalier is Professor  at the Institut d’Administration et de gestion, Université Catholique de Louvain and currently is the President of the Center for Operations Research and Econometrics, CORE, at the same university.

Economic models for horizontal collaboration

Horizontal collaboration can be seen as the sharing of resources between firms either competing or at least active on similar markets. Such collaboration initiatives are driven by the participants desire to obtain economies of scale. Given that this involves at least two independent decision makers, the traditional profit maximization approach to determine the best outcome is not adequate here. Read More


Roberto-Cominetti-verticalRoberto Cominetti

Universidad Adolfo Ibáñez

Roberto Cominetti is Professor at the Faculty of Engineer and Sciences, Universidad Adolfo Ibañez.

Equilibrium routing under uncertainty

We review some recent developments in the modeling of traffic in congested networks in urban transport and telecommunications. The focus is on situations where link travel times are subject to random fluctuations, including how to deal with risk averse agents. We consider both atomic and non-atomic equilibrium models, and discuss a class of adaptive dynamics that provide a plausible micro-foundation for the emergence of equilibrium. Read More


Juan Carlos FerrerJuan Carlos Ferrer

Pontificia Universidad Católica de Chile

Juan Carlos Ferrer is Professor at the Faculty of Engineer, Pontificia Universidad Católica de Chile.

Building a bridge from research to practice: Our experience at PUC creating OR-based startup companies

Operations Research (OR) deals with all class of important real world problems. In this talk we want to share our experience at creating startups to better serve our society through the use of effective OR developments in academics domains such as vehicle routing, public transport operations, workforce management, revenue management and pricing among others. Read More


partyMonique Guignard-Spielberg, IFORS Distinguished Lecture

University of Pennsylvania

Monique Guignard is Professor at the Department of Operations and Information Management of the Wharton School, University of Pennsylvania.

Lagrangean relaxation and different ways it can be used

Lagrangean relaxation has gone a long way since Held and Karp introduced it in their pioneering work on the TSP. It has been used effectively and widely in integer programming, for nonlinear as well as linear models. This talk will look at different ways it has been used, either by itself, or in combination with other techniques. It will show how flexible a tool it can be by presenting applications in different areas of optimization. Read More


AbdelAbdel_Lisser Lisser, IFORS Tutorial Lecture

Université Paris Sud

Abdel Lisser is Professor at the Laboratoire de Recherche en Informatique (LRI) at the Université Paris Sud.

Introduction to chance constrained optimization

Chance constrained optimization, also called probabilistic constrained optimization, is one of the main topics in stochastic optimization for dealing with random parameters in optimization problems. A chance constraint involving random parameters should hold with a prescribed probability which is in practice close to one. The use of chance constraints goes back to the late fifties. Read More


jnJorge Nocedal

Northwestern University

Jorge Nocedal is the Walter P. Murphy Professor of Industrial Engineering and Management Sciences at Northwestern University.

Stochastic Gradient Methods for Machine Learning

This talk provides an overview of recent advances in stochastic gradient methods for large-scale machine learning. We begin by summarizing the main convergence results for the convex and nonconvex cases, as well as computational complexity bounds. We then consider new variants of the method that reduce the variance of the search direction. We conclude with a discussion of some key issues arising in distributed computing implementations. Read More


shShmuel Oren

University of California, Berkeley

Dr. Shmuel S. Oren is the Earl J. Isaac Professor in the Science and Analysis of Decision Making in the Department of Industrial Engineering and Operations Research at the University of California at Berkeley and former Chairman of that department.

Opportunities and Challenges for OR in Electricity Markets

Socio economic forces, technological developments and environmental considerations have led to restructuring of the electric power systems in part of the USA and in many systems worldwide, transforming them from vertically integrated regulated monopolies to competitive market based systems. From a supply chain perspective competitive electricity markets represent, perhaps, the most challenging supply chain. Read More


slRoman Słowiński

Poznań University of Technology

Roman Słowiński is a Professor and Founding Chair of the Laboratory of Intelligent Decision Support Systems at the Institute of Computing Science, Poznań University of Technology, Poland.

Constructive learning of preferences with robust ordinal regression 

The talk is devoted to preference learning in Multiple Criteria Decision Aiding. It is well known that the dominance relation established in the set of alternatives (also called actions, objects, solutions) evaluated on multiple criteria is the only objective information that comes from a formulation of a multiple criteria decision problem (ordinal classification, or ranking, or choice, with multiobjective optimization being a particular case) Read More

foto rene villalobos 2René Villalobos

Arizona State University

Rene Villalobos is Associate Professor at Department of Industrial Engineering, Arizona State University.

Challenges and opportunities for Operations Research in fresh agri-food supply chains

Over the past few decades, the global fresh agri-food supply chains have undergone major changes, in the way they compete, and operate, where the main driver of such change has been the shifting demand and consumer expectations. Today’s consumer demands a wide assortment of products of high quality, at competitive prices, available at all times; and if possible, produced locally. Read More

Digital StillCameraStefan Voß

University of Hamburg

Stefan Voß is Professor and Director of the Institute of Information Systems at the University of Hamburg.

Matheuristics: A Primer with Applications in Transportation and Logistics

Matheuristics are heuristic algorithms made by the interoperation of metaheuristics and mathematical programming (MP) techniques. That is, we are concerned with works that are, e.g., exploiting mathematical programming techniques in (meta)heuristic frameworks or with granting to mathematical programming approaches the cross-problem robustness and constrained CPU-time effectiveness which characterize metaheuristics. Read More

andresAndrés Weintraub

Universidad de Chile

Andrés Weintraub Pohorille is Professor at the Department of Industrial Engineering of the School of Engineering, Universidad de Chile and Director of the Institute for Complex Systems in Engineering (ISCI).

Is it necessary to incorporate uncertainty into decision models?

All decision problems have a quota of uncertainty involved. These may be, among others,  in terms of market demands, production rates, transportation times,  catastrophes. One question a decision maker needs to answer is how to consider these uncertainties when developing decision making models. Read More