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Computational Management Science

State of the Art 2014

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Raquel J. Fonseca

    1. Faculty of Sciences Operations Research Center, University of Lisbon, Lisbon, Portugal

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    You can also search for this editor in PubMed   Google Scholar

  2. Gerhard-Wilhelm Weber

    1. Middle East Technical University , Ankara, Turkey

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    You can also search for this editor in PubMed   Google Scholar

  3. João Telhada

    1. Faculty of Sciences, University of Lisbon Faculty of Sciences, Lisbon, Portugal

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 682)

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Table of contents (31 papers)

  1. Front Matter

    Pages i-xxi
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  2. Energy

    1. Front Matter

      Pages 1-1
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    2. Evaluating Price Risk Mitigation Strategies for an Oil and Gas Company

      • António Quintino, João Carlos Lourenço, Margarida Catalão-Lopes
      Pages 3-8

    3. Load Shifting, Interrupting or Both? Customer Portfolio Composition in Demand Side Management

      • Johannes Gärttner, Christoph M. Flath, Christof Weinhardt
      Pages 9-15

    4. Stress-Testing for Portfolios of Commodity Futures with Extreme Value Theory and Copula Functions

      • Pierre-Antoine Mudry, Florentina Paraschiv
      Pages 17-22

    5. Integrating Consumption and Reserve Strategies for Large Consumers in Electricity Markets

      • Nigel Cleland, Golbon Zakeri, Geoff Pritchard, Brent Young
      Pages 23-30

    6. Controlled Approximation of the Stochastic Dynamic Programming Value Function for Multi-Reservoir Systems

      • Luckny Zéphyr, Pascal Lang, Bernard F. Lamond, Pascal Côté
      Pages 31-37

    7. A Computational Method for Predicting the Entropy of Energy Market Time Series

      • Francesco Benedetto, Gaetano Giunta, Loretta Mastroeni
      Pages 39-44

  3. Logistics

    1. Front Matter

      Pages 45-45
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    2. Demand Uncertainty for the Location-Routing Problem with Two-dimensional Loading Constraints

      • Thiago Alves de Queiroz, José Fernando Oliveira, Maria Antónia Carravilla, Flávio Keidi Miyazawa
      Pages 47-53

    3. Location Game and Applications in Transportation Networks

      • Vladimir Mazalov, Anna Shchiptsova, Yulia Tokareva
      Pages 55-61

    4. A GRASP Algorithm for the Vehicle-Reservation Assignment Problem

      • Beatriz Brito Oliveira, Maria Antónia Carravilla, José Fernando Oliveira
      Pages 63-71

    5. A Heuristic for the Time-Dependent Vehicle Routing Problem with Time Windows

      • Vincent Huart, Sylvain Perron, Gilles Caporossi, Christophe Duhamel
      Pages 73-78

    6. Integer Programming Based Approaches for Multi-Trip Location Routing

      • Rita Macedo, Bruna Ramos, Cláudio Alves, José Valério de Carvalho, Saïd Hanafi, Nenad Mladenović
      Pages 79-90

    7. An Agent-Based Approach to Schedule Crane Operations in Rail-Rail Transshipment Terminals

      • Sam Heshmati, Zafeiris Kokkinogenis, Rosaldo J. F. Rossetti, Maria Antónia Carravilla, José Fernando Oliveira
      Pages 91-97

    8. Vertical and Horizontal Collaboration in Inventory and Transportation

      • Benedikt De Vos, Birger Raa
      Pages 99-104

  4. Production

    1. Front Matter

      Pages 105-105
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    2. Experimental Study and Statistical Analysis of Human Factors’ Impact in Cell Production System

      • Yanwen Dong, Xiying Hao
      Pages 107-113

    3. Planning Production and Workforce in a Discrete-Time Financial Model: Optimizing Cash-Flows Released

      • Pedro Martins
      Pages 115-121

    4. Evaluating Supply Chain Resilience Under Different Types of Disruption

      • Sónia R. Cardoso, Ana Paula Barbosa-Póvoa, Susana Relvas, Augusto Q. Novais
      Pages 123-129
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Keywords

About this book

This volume contains contributions from the 11th International Conference on Management Science (CMS 2014), held at Lisbon, Portugal, on May 29-31, 2014. Its contents reflect the wide scope of Management Science, covering different theoretical aspects for a quite diverse set of applications. Computational Management Science provides a unique perspective in relevant decision-making processes by focusing on all its computational aspects. These include computational economics, finance and statistics; energy; scheduling; supply chains; design, analysis and applications of optimization algorithms; deterministic, dynamic, stochastic, robust and combinatorial optimization models; solution algorithms, learning and forecasting such as neural networks and genetic algorithms; models and tools of knowledge acquisition, such as data mining; and all other topics in management science with the emphasis on computational paradigms.

Editors and Affiliations

  • Faculty of Sciences Operations Research Center, University of Lisbon, Lisbon, Portugal

    Raquel J. Fonseca

  • Middle East Technical University , Ankara, Turkey

    Gerhard-Wilhelm Weber

  • Faculty of Sciences, University of Lisbon Faculty of Sciences, Lisbon, Portugal

    João Telhada

About the editors

Raquel J. Fonseca is a professor at the Faculty of Sciences, University of Lisbon and a member of the Operations Research Centre. She completed her PhD in robust optimization of international portfolios at Imperial College in 2011. Prior to her Phd, she worked in financial consulting at PricewaterhouseCoopers in Lisbon. Her main research interests are robust optimization and operations research applied to finance and economics.

João Telhada is a professor at the Faculty of Sciences, University of Lisbon and member of the Operations Research Center. He completed his PhD in Statistics and Operations Research at the University of Lisbon in 2004. He took part in several projects with some industry partners, mainly in the transportations and mobility area. His main scientific activity has been on integer programming reformulations, mainly for network optimization problems.

Gerhard-Wilhelm Weber is a professor at Institute of Applied Mathematics, METU, Ankara, Turkey. His research in on optimization and control OR finance, life and human sciences, data mining and inverse problems. He received Diploma and Doctorate in Mathematics and Economics/BA at RWTH Aachen and his Habilitation at TU Darmstadt. He held Professorships by proxy at University of Cologne and TU Chemitz (Germany); he has international affiliations and honorary positions and is “Advisor to EURO Conferences”.

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