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008			230920s2023 sz | s |||| 0|eng d
020			_a9783031323386
024	7		_a10.1007/978-3-031-32338-6 _2doi
040			_aES-VaUEC _bspa _cES-VaUEC
050	0	4	_aT57.6-.97 _b2024
245	0	0	_aUncertainty in Facility Location Problems _cedited by H A Eiselt, Vladimir Marianov
250			_a1st ed 2023
264		1	_aCham _c2023 _bSpringer International Publishing
300	0	0	_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 ; _v347
505	0		_aPart I: Sources of uncertainty, risk, and imprecision -- Sources of Uncertainty in Location Analysis -- Risk, hazard and exposure time in Hazmat Location and Routing -- Customer related uncertainties in Facility Location Problems -- Part II: Models that protect against acts of nature, attackers, and competitors -- Humanitarian Logistics under Uncertainty: Planning for Sheltering and Evacuation -- Stochastic Components of the Attraction Function in Competitive Facilities Location -- Location and Strategies in Stackelberg Security Games with Risk Aversion -- Facility Location and Supply Chain Risk Analytics -- Designing for Resilience and Protection -- Part III: Facility-customer response time and congested facilities -- Uncertainty in Facility Location Models for Emergency Medical Services -- Location of Public Facilities Under Congestion -- tochastic Gradual Covering Location Models -- Equity in Stochastic Healthcare Facility Location -- Part IV: Methods and approaches location models with uncertainty -- Hub Location Models Under Uncertainty -- On risk management of multistage multiscale FLP under uncertainty -- Some heuristic methods for discrete facility location with uncertain demands.
520			_aThis book deals with an often-neglected feature of location problems, namely uncertainty, by combining two related fields: location theory and optimization. Written by leading researchers and practitioners in these fields, each chapter examines one aspect of the location process in different contexts, such as supply chains; location decisions under congestion; disaster management; design of resilient facilities; uncertainty in the health sector; and facility location in the retail sector under uncertainty. The book also addresses methodological aspects, such as chance-constrained approaches, heuristic algorithms, scenario approaches, and simulation. As such, it provides decision-makers with essential methods, tools and approaches to help them deal with these uncertainties. It is mainly intended for graduate students in the fields of operations research and logistics, as well as professionals in logistics and supply chain management.
830		0	_aInternational Series in Operations Research & Management Science, _x2214-7934 ; _v347
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-32338-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
912			_aZDB-2-BUM
912			_aZDB-2-SXBM
942			_2lcc _cLE
988			_aSpringer_Business_2023
999			_c238697 _d238697