Overview
- Highlights the use of Sequential Interactive Modelling for Urban Systems (SIMUS) for strategic decision making
- Offers answers common questions formulated by decision makers such as number of criteria needed, method to use, how to solve score ties, etc.
- Includes case studies to help understand difficult concepts, especially related to demands from a scenario and in their modeling
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 275)
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Table of contents (12 chapters)
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Front Matter
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History of MCDM and How It Is Performed
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Front Matter
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What Should Be Done in the MCDM Process
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Front Matter
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Proposing the SIMUS Method for a Strategic Procedure to Manage Real-World Scenarios
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Front Matter
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Back Matter
Keywords
About this book
Strategic Approach in Multi-Criteria Decision Making: A Practical Guide for Complex Scenarios is divided into three parts. Part 1 is devoted to exploring the history and development of the discipline and the way it is currently used. It highlights drawbacks and problems that scholars have identified in different MCDM methods and techniques. Part 2 addresses best practices to assure quality MCDM process. Part 3 introduces the concept of Linear Programming and the proposed SIMUS method as techniques to deal with MCDM. It also includes case studies in order to help document and illustrate difficult concepts, especially related to demands from a scenario and also in their modelling. The decision making process can be a complex task, especially with multi-criteria problems. With large amounts of information, it can be an extremely difficult to make a rational decision, due to the number of intervening variables, their interrelationships, potential solutions that might exist, diverse objectives envisioned for a project, etc. The SIMUS method has been designed to offer a strategy to help organize, classify, and evaluate thisinformation effectively.
Authors and Affiliations
About the authors
Fernando Jiménez Sáez Ba. degree in Economics - Universidad Autónoma de Madrid (SPAIN) Ma. degree in Analysis and Management of Science and Technology - Universidad Carlos III de Madrid (SPAIN) Ma. degree in Economics of Technical Change - Maastricht University (THE NETHERLANDS) Ph.D. degree in Engineering Projects Management - Universitat Politècnica de València, (SPAIN) Tenured university professor in the Department of Engineering Projects of the Polytechnic University of Valencia. Researcher at INGENIO (CSIC-UPV) (Spanish Council of Scientific Research and Polytechnic University of Valencia). He has worked on numerous European, national and regional projects and contracts. Currently leading several projects and contracts with European and Latin American partners to study and diagnose the capabilities of Regional Innovation Systems.
Nolberto Munier Mechanical Engineer- National University of Córdoba - Argentina. Master degree in Project Management- Polytechnic University of Valencia- Spain. Ph.D. degree in Project Management - Polytechnic University of Valencia. Extensive experience in large projects in Argentina, Perú, Ecuador, México, USA and Canada. Author of 27 books on Operations Research, Project Management, Multi Criteria Decision-Making, and Risk Analysis, as well as more than 100 papers. Associate Researcher - INGENIO (CSIC-UPV) (Spanish Council of Scientific Research and Polytechnic University of Valencia). Currently a technical writer and reviewer of technical articles for several journals.
Bibliographic Information
Book Title: Strategic Approach in Multi-Criteria Decision Making
Book Subtitle: A Practical Guide for Complex Scenarios
Authors: Nolberto Munier, Eloy Hontoria, Fernando Jiménez-Sáez
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-3-030-02726-1
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer Nature Switzerland AG 2019
eBook ISBN: 978-3-030-02726-1Published: 29 January 2019
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: XV, 273
Number of Illustrations: 42 b/w illustrations, 67 illustrations in colour
Topics: Operations Research/Decision Theory, Operations Research, Management Science, Operations Management