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Operations & Data Analytics

Philosophy

ODA is an interdisciplinary concentration of ESSEC Business School PhD Program. It provides students a structured education in quantitative research methods and complex tools for management science. It focuses on theoretical, empirical and methodological research of managerial decisions that drive all disciplines interested in the process of formulating, evaluating and executing high quality decision making, possibly applied to economics, management, marketing, digital business, finance, risk management, operations, supply chain management. The period of courses lasts for 1,5 year, with Research Apprenticeship Modules (RAMs) that start in the first year (under the supervision of a Professor) and aim at producing a first research paper before the Dissertation Proposal, which takes place at the end of the second year.

The concentration has two specializations:
• Operations: Operations Management & Operations Research (OM/OR)
• Data Analytics (DA): Statistics, Big Data, Econometrics and Risk

Each applicant has to choose a single specialization in the application file BEFORE entering the program, explaining her specific motivation for the selected specialization. There are open positions in both specializations each year.

Subfields

The two specializations have a few courses in common, but are well separated in terms of content with specific introductory and advanced courses in each field.

Operations Management & Operations Research (OM/OR)

Operations Management not only concerns the traditional creation, production, and delivery of products and services, but it takes a broader view that comprises several areas such as supply chain management, logistics, purchasing management, project management, and new product development. All these fields have a strong operational focus and a potential impact on the successful management of operations. This subfield is hosted by the OMOR cluster and the OM department.

Recent research interests of our faculty include:
- Environmental management and monitoring
- Humanitarian logistics and relief operations
- Supply Chain Management and coordination
- New product development
- Digital operations

Operations Research concerns both the application of quantitative methods to optimally solve planning decision problems. Our faculty performs research on the development of new methods and applications in Operations and Supply Chain management (production planning, transportation and routing, facility location, network design, sustainable operations). This subfield is hosted by the OMOR cluster comprising professors of the IDS and OM departments.

Recent research interests of our faculty include:
- Advanced Decision Theory
- Continuous-time Dynamic Games
- Optimal control Theory
- Robust optimization
- Selection problems with choice models (application to assortment, facility location)
- Bilevel programming
- Decomposition methods (Column Generation, Branch-and-Price-and-Cut, Benders decomposition)

The courses in OM/OR cover the following topics: introductory optimization methods (Linear Programming, duality, graph problems, dynamic programming), advanced optimization methods (decomposition methods, Column Generation, Benders decomposition, cutting plane methods, robust optimization), technology management and new product development, sustainable operations, optimal control, game theory, dynamic games, dynamic methods, advanced decision theory, SCM, applied statistics, econometrics, simulation for operations management.

Coding skills are important to implement models, methodologies and solving algorithms. Coding languages and softwares are presented in various courses.

 

Data Analytics (DA)

Data Analytics combine economic, mathematical, statistical and computer tools to solve business problems. The approach may involve e.g. model building, analysis of big data, empirical testing of theories, risk management, stochastic processes, econometrics and forecasting.

This subfield is hosted by the IDS department and the CREAR research center.

Recent research interests of our faculty include:
- Agent based models of learning
- Assessment of Climate Change
- Extreme Value Theory
- Multivariate Statistics
- Predictive Path Modeling
- Risk analysis & Risk Management

The courses in the DA specialization cover the following topics: advanced statistics, time series analysis, forecasting, stochastic processes, introductory and advanced econometrics, big data analytics, quantitative risk management, statistical modelling.

Several softwares and programming languages are also presented to the students in the courses.

The PhD students in this DA specialization should be able at the end of the program to combine two skills: a) design and develop new models and methods for statistics and/or econometrics with proven analytical properties, and b) apply tools and methods to applications in economics, finance, marketing, operations or business as a whole.

Faculty

Operations Management & Operations Research

Laurent ALFANDARI is Professor in the Department of Information Systems, Decision Science & Statistics and holds a Doctorate in Operations Research from Université Paris IX Dauphine. His research fields are: operations research, discrete optimization and applications to operations management (network design, city logistics, scheduling, production planning, routing problems and facility location).

Philippe-Pierre DORNIER is Professor in the Department of Operations Management and holds a Doctorat en Ingénierie et Gestion from École des Mines de Paris. His research is focused on change management in supply chain and on optimization of the sales point within the supply chain.

Pietro DE GIOVANNI is Associate Professor in the Department of Operations Management and holds a PhD in Management Science from Essec Business School. His research interests are game theory and differential games applied to closed-loop supply chain, supply chain coordination, marketing and operations management.

Fouad El OUARDIGHI is Professor in the Department of Operations Management and holds a doctorate in Business Administration from Université Paris Ouest (Paris 10 Nanterre). His main research interests are in the interface of operations management and marketing, in R&D competition, and in pollution control. He is Associate Editor for International Game Theory Review.

Ivana LJUBIC is Professor at the Department of Information Systems, Decision Science & Statistics and holds a Doctorate in Computer Science from the Vienna University of Technology. She serves as Associate Editor for the journal Omega and she is member of Editorial Advisory Board for the journal Computers and Operations Research. She also served as guest-editor of journals: European Journal of Operational Research and Annals of Operations Research and she is currently vice-president of the INFORMS Network Analytics and Telecommunication Section. Her research interests include network design problems, combinatorial optimization, optimization under uncertainty and bilevel optimization.

Felix PAPIER is Associate Professor in the Department of Operations Management and holds a Doctorate from the University of Cologne. His research interests include supply chain and inventory management, sustainable operations, rental fleet optimization, and spare parts management.

Sara REZAEE VESSAL is Assistant Professor at the Department of Operations Management. She received her Doctorate in Operations and Supply Chain Management from HEC Paris. Her research interests include collaboration in supply chain, new product development and collaboration in highly uncertain projects, value of information in coordinating supply chains, and sustainable supply chain.

Data Analytics

Guillaume CHEVILLON is Professor in the Department of Information Systems, Decision Science & Statistics and holds a D.Phil., in Economics from the University of Oxford. His research interests lie in time series econometrics and forecasting, with a special interest in Macroeconomics and Finance.

Vincenzo ESPOSITO VINZI is Dean of the Faculty, Professor in the Department of Information Systems, Decision Science & Statistics and holds a Ph.D., in Computational Statistics from the University of Naples. . His research interests focus on multivariate statistics, structural equation modeling, PLS regression and path modeling, with business and industry-oriented applications. He is the President of the International Society for Business and Industrial Statistics and the Chairman of the European Board of Directors of the International Association for Statistical Computing. He is an Associate Editor of Computational Statistics and Data Analysis, Computational Statistics, Advances in Data Analysis and Classification and Statistical Methods & Applications. He is the Editor-in-Chief of the "Handbook of Partial Least Squares: Concepts, Methods and Applications" by Springer.

Olga KLOPP is Associate Professor in Statistics at ESSEC Business School. She holds a Ph.D. in Mathematics & Applied Mathematics (National University of Mexico) and an Habilitation degree (HDR) in high-dimensional Statistics (Nanterre University, Paris X). Olga’s research focus is in high-dimensional statistics, and especially, in matrix completion and network models. She is a member of the ESSEC risk research center CREAR and of CREST, as well as associated editor of Bernoulli.

Marie KRATZ is Professor in the Department of Information Systems, Decision Science & Statistics and holds a Doctorate in Applied Mathematics (UPMC Paris 6 & Center for Stochastic Processes, UNC Chapel Hill, USA). Her research addresses a range of topics in applied probability, mathematical statistics and actuarial mathematics, with a focus on extreme value theory, risk analysis and Gaussian processes. She is the director of CREAR, the Center on Risk at ESSEC, launched with the collaboration of the insurance industry and international academic partners. She is also President of the group “Banque, Finance, Assurance” at the French Society of Statistics.

Jeroen V.K. ROMBOUTS is Professor in the Department of Information Systems, Decision Science & Statistics and holds a Ph.D., in Economics from CORE, Universite Catholique de Louvain.  His research interests focus on econometrics, finance, time series, nonparametric statistics and Bayesian inference with forecasting applications in the field of macroeconomics and finance. He is elected member of the International Statistical Institute and serves on the editorial board of International Journal of Forecasting, and Computational Statistics and Data Analysis.

Recent placement of Alumni

Bocconi University (Italy), Mercy College, New York (USA)The Lebanese American University (Lebanon),Tecnologico de Monterrey (Mexico), Curtin Business School, Perth, (Australia).

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