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Strategic Approach in Multi-Criteria Decision Making [[electronic resource] ] : A Practical Guide for Complex Scenarios / / by Nolberto Munier, Eloy Hontoria, Fernando Jiménez-Sáez



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Autore: Munier Nolberto Visualizza persona
Titolo: Strategic Approach in Multi-Criteria Decision Making [[electronic resource] ] : A Practical Guide for Complex Scenarios / / by Nolberto Munier, Eloy Hontoria, Fernando Jiménez-Sáez Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Edizione: 1st ed. 2019.
Descrizione fisica: 1 online resource (XV, 273 p. 109 illus., 67 illus. in color.)
Disciplina: 658.40301
Soggetto topico: Operations research
Decision making
Management science
Production management
Operations Research/Decision Theory
Operations Research, Management Science
Operations Management
Persona (resp. second.): HontoriaEloy
Jiménez-SáezFernando
Nota di contenuto: Chapter 1. Multicriteria decision making, evolution and characteristics -- Chapter 2. The initial decision matrix (IDM) and its fundamental role in modelling a scenario -- Chapter 3. How to shape multiple scenarios -- Chapter 4. The Decision-Maker, a vital component of the decision-making process -- Chapter 5. Design of a decision-making model reality-wise. How should it be done?- Chapter 6. Linear Programming fundamentals -- Chapter 7. The SIMUS method -- Chapter 8. Sensitivity analysis by SIMUS – The IOSA procedure -- Chapter 9. Group decision-making -- Chapter 10. SIMUS applied to quantify SWOT strategies -- Chapter 11. Analysis of lack of agreement between MCDM methods related to the solution of a problem - Proposing a methodology for comparing methods to a reference -- Chapter 12. Some complex and interesting cases solved by SIMUS -- Appendix.
Sommario/riassunto: This book examines multiple criteria decision making (MCDM) and presents the Sequential Interactive Modelling for Urban Systems (SIMUS) as a method to be used for strategic decision making. It emphasizes the necessity to take into account aspects related to real world scenarios and incorporating possible real life aspects for modelling. The book also highlights the use of sensitivity analysis and presents a method for using criteria marginal values instead of weights, which permits the drawing of curves that depicts the variations of the objective function due to variations of these marginal values. In this way it also gives quantitative values of the objective function allowing stakeholders to perform a comprehensive risk analysis for a solution when it is affected by exogenous variables. 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 this information effectively.
Titolo autorizzato: Strategic Approach in Multi-Criteria Decision Making  Visualizza cluster
ISBN: 3-030-02726-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910337792603321
Lo trovi qui: Univ. Federico II
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Serie: International Series in Operations Research & Management Science, . 0884-8289 ; ; 275