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020 _a9783031238765
024 7 _a10.1007/978-3-031-23876-5
_2doi
040 _aES-VaUEC
_bspa
_cES-VaUEC
_dES-VaUE
050 4 _aT57.6
_b2023 EB
100 1 _aEiselt, Horst A.
_d1950-
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9518384
245 1 0 _aMulticriteria Location Analysis
_cby H. A. Eiselt, Vladimir Marianov, Joyendu Bhadury
250 _a1st ed 2023
264 1 _aCham
_c2023
_bSpringer International Publishing
300 _a1 recurso en línea
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
490 0 _aInternational Series in Operations Research & Management Science
_x2214-7934 ;
_v338
505 0 _aPreface -- Introduction -- Chapter 1: Single-objective optimization -- Chapter 2: Multicriteria decision making -- Chapter 3: Location models -- Chapter 4: Mathematical and geospatial tools -- Chapter 5: Locating a landfill with vector optimization -- Chapter 6: Using goal programming to locate a new fire hall -- Chapter 7: Locating a hospital with a zoom approach -- "Chapter 8: Locating a private school with a generic method -- Chapter 9: Locating jails with a target value approach -- "Chapter 10: A rejection approach to locate a new city park -- Chapter 11: Locating a new fulfillment center with the domain criterion -- Chapter 12: Locating fast food restaurants with the analytic hierarchy process -- Chapter 13: Locating billboards with the Jefferson-d'Hondt method -- Chapter 14: Locating an airport by voting -- Chapter 15: How location works in practice: a perspective from the United States.
520 _aThis book applies Multicriteria Decision Making (MCDM) tools and techniques to problems in location analysis. It begins with a generic model for MCDM and subsequently develops specific versions of the technique for particular location problems. Throughout the book, MCDM is understood to encompass all tools and techniques that choose or rank existing or feasible solutions, including discrete multi-attribute decision making (MADM) problems, which typically include an attribute table that specifies the consequences of each decision with regard to the given criteria, as well as multi-objective linear problems (MOLPs), which incorporate all objectives in a single optimization problem. The book is organized as follows: the first four chapters introduce readers to the basic tools and techniques used in single-objective optimization, multicriteria decision making, location analysis, and other tools, such as statistical regression and geographical information systems. This is followed by ten chapters on model applications, each of which introduces readers to a specific location problem and applies one technique to solve it. The book is then wrapped up in a closing chapter that looks at the location process from a practitioner's point of view. This book is intended as a textbook for upper-undergraduate and master-level courses on location analysis. It will also benefit decision-makers who actually need to locate facilities. .
988 _aSpringer_Business_2023
650 7 _2embne
_96736
_aAnálisis de sistemas
700 1 _9518385
_aMarianov, Vladimir
_eautor
700 1 _9518386
_aBhadury, Joyendu
_d1964-
_eautor
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-23876-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942 _2lcc
_cLE
_n0
998 _b02/2024
_db
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_zSI