Advanced Models and Tools for Effective Decision Making Under Uncertainty and Risk Contexts

Advanced Models and Tools for Effective Decision Making Under Uncertainty and Risk Contexts

Vicente González-Prida (University of Seville, Spain) and María Carmen Carnero (University of Castilla-La Mancha, Spain)
Projected Release Date: September, 2020|Copyright: © 2021 |Pages: 300
ISBN13: 9781799832461|ISBN10: 1799832465|EISBN13: 9781799832485|DOI: 10.4018/978-1-7998-3246-1

Description

Business industries depend on advanced models and tools that provide an optimal and objective decision-making process, ultimately guaranteeing improved competitiveness, reducing risk, and eliminating uncertainty. Thanks in part to the digital era of the modern world, reducing these conditions has become much more manageable.

Advanced Models and Tools for Effective Decision Making Under Uncertainty and Risk Contexts provides research exploring the theoretical and practical aspects of effective decision making based not only on mathematical techniques, but also on those technological tools that are available nowadays in the Fourth Industrial Revolution. Featuring coverage on a broad range of topics such as industrial informatics, knowledge management, and production planning, this book is ideally designed for decision makers, researchers, engineers, academicians, and students.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Asset Assessment
  • Business Research
  • Fuzzy Data
  • Industrial Informatics
  • Knowledge Management
  • Maintenance Engineering
  • Predictive Maintenance
  • Production Planning
  • Renewable Energy
  • Risk Management

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Vicente González-Prida received a PhD in Industrial Engineering from the University of Seville, and an Executive MBA from the Chamber of Commerce. He currently works as Program Manager in the company General Dynamics – European Land Systems. He shares his professional performance with the development of research projects in the Department of Industrial Organization and Management at the University of Seville. He has written a multitude of articles for conferences and publications. His main interest is related to industrial asset management, specifically the reliability (design specification, data analysis), maintenance (outsourcing, e-maintenance), and sales management (cost analysis, logistics, organization). Recently, he has published the book After-Sales Service of Engineering Industrial Assets from Springer-Verlag.
María Carmen Carnero has a Doctorate in Industrial Engineering from the University of Castilla-La Mancha (2001) and is a lecturer at the Higher Technical School of Industrial Engineering at the University of Castilla-La Mancha. She has edited one book, published two books, 14 chapters in science books, and has published research articles in Omega, Energy, Decision Support System, European Journal of Operational Research, Reliability Engineering and System Safety, Sustainability, European Journal of Industrial Engineering, Journal of Manufacturing Systems, The International Journal of Advanced Manufacturing Technology, Mechanical Systems and Signal Processing, Production Planning and Control, etc. She has 70 contributions to conferences. She was the lead researcher in three projects financed by the regional government, and has been a part of 16 other European, national, regional and local projects, and of 10 contracts.