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020 _a9783031444531
_9978-3-031-44453-1
024 7 _a10.1007/978-3-031-44453-1
_2doi
050 4 _aT57.6-.97
072 7 _aKJT
_2bicssc
072 7 _aKJMD
_2bicssc
072 7 _aBUS049000
_2bisacsh
072 7 _aKJT
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072 7 _aKJMD
_2thema
100 1 _aMunier, Nolberto.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_973279
245 1 0 _aStrategic Approach in Multi-Criteria Decision Making
_h[electronic resource] :
_bA Practical Guide for Complex Scenarios /
_cby Nolberto Munier.
250 _a2nd ed. 2024.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2024.
300 _aXXII, 397 p. 119 illus., 89 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aInternational Series in Operations Research & Management Science,
_x2214-7934 ;
_v351
505 0 _aPart 1: Theory and analysis of MCDM problems: History of MCDM and how it is performed -- Multicriteria decision making, evolution and characteristics -- The initial decision matrix and its relation with modelling a scenario -- Part 2: Theory and analysis of MCDM problems: What can be done by using the MCDM process? -- How to shape multiples scenarios -- The decision-maker, a vital component of the decision-making process -- Design of a decision-making method reality-wise – how should it be done? -- Part 3: Theory and analysis of MCDM problems: proposes SIMUS as a strategic procedure to tackle real-world scenarios -- Linear programming fundamentals -- The SIMUS method -- Sensitivity analysis by SIMUS – the IOSA procedure -- Group decision-making -- SIMUS applied to quantify SWOT strategies -- Analysis of lack of agreement between MSDM methods related to the solution of a problem-proposing a methodology for comparing methods to a reference -- Part 4: Practice of problem solving using MCDM– support for practitioners -- Support and guidance to practitioners by simulation of questions formulated by readers, and detailed answers and examples -- Best practices - modeling and sensitivity analysis in MCDM -- Some complex and uncommon cases solved by SIMUS.
520 _aThis book examines multiple criteria decision making (MCDM) and presents the Sequential Iterative 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 increments/decrements of criteria 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 Multi-Criteria Decision Making: A Practical Guide for Complex Scenarios is divided into four 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 refers to what can be done using the MCDM process. Part 3 proposes the SIMUS method as a strategic procedure to deal with MCDM problems, and addressing how to approach complicate scenarios. Part 4 is entirely devoted to support practitioners through more than 100 questions a user may ask, and their corresponding answers, as well as a collection of solved six complex real-life scenarios. 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.
650 0 _aOperations research.
_957943
650 0 _aManagement science.
_957941
650 0 _aProduction management.
_967141
650 1 4 _aOperations Research and Decision Theory.
_967143
650 2 4 _aOperations Research, Management Science.
_965527
650 2 4 _aOperations Management.
_967304
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031444524
776 0 8 _iPrinted edition:
_z9783031444548
776 0 8 _iPrinted edition:
_z9783031444555
830 0 _aInternational Series in Operations Research & Management Science,
_x2214-7934 ;
_v351
_969480
856 4 0 _uhttps://doi.org/10.1007/978-3-031-44453-1
912 _aZDB-2-BUM
912 _aZDB-2-SXBM
999 _c58424
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