Computational Management Science

State of the Art 2014

  • Raquel J. Fonseca
  • Gerhard-Wilhelm Weber
  • João Telhada

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

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Energy

    1. Front Matter
      Pages 1-1
    2. António Quintino, João Carlos Lourenço, Margarida Catalão-Lopes
      Pages 3-8
    3. Johannes Gärttner, Christoph M. Flath, Christof Weinhardt
      Pages 9-15
    4. Nigel Cleland, Golbon Zakeri, Geoff Pritchard, Brent Young
      Pages 23-30
    5. Luckny Zéphyr, Pascal Lang, Bernard F. Lamond, Pascal Côté
      Pages 31-37
    6. Francesco Benedetto, Gaetano Giunta, Loretta Mastroeni
      Pages 39-44
  3. Logistics

    1. Front Matter
      Pages 45-45
    2. Thiago Alves de Queiroz, José Fernando Oliveira, Maria Antónia Carravilla, Flávio Keidi Miyazawa
      Pages 47-53
    3. Vladimir Mazalov, Anna Shchiptsova, Yulia Tokareva
      Pages 55-61
    4. Beatriz Brito Oliveira, Maria Antónia Carravilla, José Fernando Oliveira
      Pages 63-71
    5. Vincent Huart, Sylvain Perron, Gilles Caporossi, Christophe Duhamel
      Pages 73-78
    6. Rita Macedo, Bruna Ramos, Cláudio Alves, José Valério de Carvalho, Saïd Hanafi, Nenad Mladenović
      Pages 79-90
    7. Sam Heshmati, Zafeiris Kokkinogenis, Rosaldo J. F. Rossetti, Maria Antónia Carravilla, José Fernando Oliveira
      Pages 91-97
  4. Production

    1. Front Matter
      Pages 105-105
    2. Sónia R. Cardoso, Ana Paula Barbosa-Póvoa, Susana Relvas, Augusto Q. Novais
      Pages 123-129

About these proceedings

Introduction

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.

Keywords

Computational models Decision making Optimization Risk management Robust optimization Uncertainty

Editors and affiliations

  • Raquel J. Fonseca
    • 1
  • Gerhard-Wilhelm Weber
    • 2
  • João Telhada
    • 3
  1. 1.Faculty of Sciences Operations Research CenterUniversity of LisbonLisbonPortugal
  2. 2.Middle East Technical University AnkaraTurkey
  3. 3.Faculty of SciencesUniversity of Lisbon Faculty of SciencesLisbonPortugal

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-20430-7
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Business and Management
  • Print ISBN 978-3-319-20429-1
  • Online ISBN 978-3-319-20430-7
  • Series Print ISSN 0075-8442
  • Series Online ISSN 2196-9957
  • About this book
Industry Sectors
Pharma
Automotive
Biotechnology
Consumer Packaged Goods
Energy, Utilities & Environment
Oil, Gas & Geosciences