Keynote speakers

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     Professor Fouad Ben Abdelaziz 
 
     NEOMA Business School, France
     
     E-mail: fouad.abdelaziz@gmail.com
 
 
 
 
Title: From Optimization to Decision
Abstract: In this presentation, I will present a typology of decision making problems and the different transformations used to solve these problems. I will show that optimization problems are degenerate decision making models that can be considered under some special conditions. Relaxing any of these special conditions can lead to situations that might not be solvable through meaningful transformations. I will provide some applications of these models.
 
Short Bio:
Fouad Ben Abdelaziz is currently Professor at NEOMA Business School, France and the head of the MSc Program in Supply Chain Management. He was a Senior Fulbright scholar at the Rutgers Center for Operations Research, Rutgers University, NJ. He received his PhD in Operations and Decision Systems from Laval University, Canada. He has been working at the University of Tunis, American University of Beirut and the American University of Sharjah. He is a leading researcher in multi-objective stochastic optimization. He was among the first to propose solutions to the combinatorial multi-objective problems. Aside his publications in outstanding journals, like EJOR, FSS, JORS etc., he served as Co-Editor as well as Guest Editor of special issues for the European Journal of Operation Research and Fuzzy Sets and Systems. He was the chair of many international conferences.

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     Professor Jacques Teghem 
 
     Polytechnic Institute of Mons, University of Mons, Belgium
     
     E-mail: jacques.teghem@umons.ac.be
 
 
 
 
Title: Three problems of combinatorial optimization
Abstract: These three problems concern last chapters of recent PhD – respectively of Semya Elaoud, Emna Dhouib and Walid Besbes – jointly at University of Sfax and Polytechnic Faculty of University of Mons.
- The first is a new approach – called « Logical Dominance Method « - to determine the set of efficient solutions for a multi-objective travelling salesman problem. Many logical rules are described to eliminate large parts of the research space, before to apply a Branch and Bound method.
- The second concerns a non-permutation flowshop with minimal and maximal time-lags constraints. First a new sufficient condition of domination of permutations is established for the makespan criterion. Then, for the case of two machines,  a heuristic and a MILP model are proposed to determine a better non-permutation solution and compared.
- The third is a 3-stage supply chain (suppliers, manufacturers and customers) under specific conditions : fixed road of each job, batch and time transportation between successive stages. The objective is to minimize the makespan. A lower bound of the optimal value is determined and the results of a heuristic and a genetic algorithm are compared.
 
Short Bio:
Born in 1948 at Brussels. Belgian. Ph.D. in mathematics (Applied probability) from University of Brussels. Professor of Mathematics and Operations Research at Polytechnic Institute of Mons, University of Mons.(Belgium). Emeritus professor since 2012 . Chairman of the “EURO XVI” conference; editor of EJOR (European Journal of Operational Research) from 1999 till 2007; member of the programme committee of many international conferences. Author or co-author of 8 books and 100 papers on Operations Research, in the fields of : - control of queuing systems; - treatment of uncertainty in O.R. models; - multi-objective optimization; - combinatorial optimization; - applications of metaheuristics to combinatorial optimization and scheduling problems. He recently published – in French – two volumes of 624 pages on all the sub-fields of Operations Research.
 
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     Professor Leandro C. Coelho 
 
     Administration Sciences Faculty, University of Laval Quebec, Canada
     
     E-mail: leandro.coelho@fsa.ulaval.ca
 
 
 
 
Title: Integrated Logistics: Inventory Management and Vehicle Routing
Abstract: In this talk we will present the Inventory‐Routing Problem, namely the combination of two well‐known logistics problems: inventory management and vehicle routing. We first introduce the business environment where this problem arises, and review a few practical and theoretical aspects. We then present the state‐of‐the‐art algorithms used for the resolution of this difficult optimization problem. Some applications will be detailed, emphasizing on the gains obtained by the companies. We finally present other features that can be used to further integrate the problem and present some new ideas for its resolution.
 
Short Bio:
Leandro C. Coelho obtained his Ph.D. from HEC Montréal and is currently professor at the Administration Sciences Faculty at Université Laval (Canada), where he teaches logistics, operations management and operations research. He is also visiting professor at the University of Groningen (the Netherlands) and at the Federal University of Minas Gerais (Brazil). He is interested in practical logistics problems arising in transportation and in inventory management, solving them using mathematical programming, mixed-integer optimization and heuristic methods (also meta- and matheuristics). His papers have been published in journals such as EJOR, C&OR, IJPE, Transportation Science, among others. www.leandro-coelho.com
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