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001481011 003__ OCoLC
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001481011 019__ $$a1399168501
001481011 020__ $$a9783031323386$$q(electronic bk.)
001481011 020__ $$a3031323386$$q(electronic bk.)
001481011 020__ $$z9783031323379
001481011 020__ $$z3031323378
001481011 0247_ $$a10.1007/978-3-031-32338-6$$2doi
001481011 035__ $$aSP(OCoLC)1398567559
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001481011 050_4 $$aQA402.6
001481011 08204 $$a658.4/034$$223/eng/20230926
001481011 24500 $$aUncertainty in facility location problems /$$cH.A. Eiselt, Vladimir Marianov, editors.
001481011 264_1 $$aCham :$$bSpringer,$$c[2023]
001481011 264_4 $$c©2023
001481011 300__ $$a1 online resource (xxii, 431 pages) :$$billustrations (some color).
001481011 336__ $$atext$$btxt$$2rdacontent
001481011 337__ $$acomputer$$bc$$2rdamedia
001481011 338__ $$aonline resource$$bcr$$2rdacarrier
001481011 4901_ $$aInternational series in operations research & management science ;$$vvolume 347
001481011 504__ $$aIncludes bibliographical references.
001481011 5050_ $$6880-01$$aIntro -- Preface -- Contents -- Contributors -- Part I Sources of Uncertainty, Risk, and Imprecision -- Sources of Uncertainty in Location Analysis -- 1 Introduction -- 2 Uncertainty -- 3 Modeling Implications -- 3.1 Abstraction Uncertainty Implications -- 3.2 Model Specification Uncertainty Implications -- 3.3 Location Uncertainty Implications -- 3.4 Spatial Properties Uncertainty Implications -- 3.5 Solution Uncertainty Implications -- 4 Discussion -- 5 Conclusions -- References -- Risk, Hazard, and Exposure Time in Hazmat Location and Routing -- 1 Introduction -- 2 Literature Review
001481011 5058_ $$a2.1 Planned and Unplanned Purchases -- 2.2 Product and Facility Heterogeneity or Differentiation -- 2.3 Taste for Variety -- 2.4 Imperfect Information Available to the Customer -- 2.5 Imperfect Information of the Decision-Maker on Customers -- 3 Effects of Uncertainties on Customer and Firm Behavior -- 3.1 Purchases Are Distributed Among All Available Stores -- 3.2 Search Behavior, Comparison Shopping, Multipurpose-Shopping Trips. Firms Agglomerate -- 4 Most Representative User Choice Rules Addressing Uncertainty -- 4.1 Brief Overview of the Fundamental Deterministic Rules
001481011 5058_ $$a4.2 Choice Rules Explicitly Assuming Uncertainty: Proportional and Gravity -- 4.3 Choice Rules Explicitly Assuming Uncertainty: Random Utility Models (RUM) -- 5 Integrating User Choice Rules with Uncertainty in Facility Location Models -- 6 Conclusions -- References -- Part II Models that Protect Against Acts of Nature, Attackers, and Competitors -- Humanitarian Logistics Under Uncertainty: Planning for Sheltering and Evacuation -- 1 Introduction -- 2 The Shelter Site Location Problem -- 3 Hedging Against Uncertainty in the Shelter Site Location Problem
001481011 5058_ $$a4 Evacuation Traffic Assignment Approaches -- 5 Planning for Shelter Locations for an Effective Evacuation Management: An Integrated View -- 6 Conclusions -- References -- Stochastic Components of the Attraction Function in Competitive Facilities Location -- 1 Introduction -- 2 Probabilistic Models -- 2.1 The Probabilistic Gravity Model -- 2.2 Random Utility -- 2.3 Cover-Based Model -- 3 Estimating Model Parameters -- 3.1 Distance Correction -- 3.2 On the Attractiveness Level of Competing Facilities -- 4 Uncertainty-Based Objectives -- 4.1 Minimax Regret Criterion -- 4.2 The Threshold Objective
001481011 506__ $$aAccess limited to authorized users.
001481011 520__ $$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.
001481011 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 26, 2023).
001481011 650_0 $$aLocation problems (Programming)
001481011 650_0 $$aDecision making.$$xDecision making$$0(DLC)sh2009113439
001481011 650_0 $$aOperations research.$$0(DLC)sh 85095020
001481011 650_0 $$aMathematical optimization.$$vCongresses$$0(DLC)sh2008107548
001481011 655_0 $$aElectronic books.
001481011 7001_ $$aEiselt, Horst A.,$$d1950-$$eeditor.$$1https://isni.org/isni/0000000109829403
001481011 7001_ $$aMarianov, Vladimir,$$eeditor.$$1https://isni.org/isni/0000000115017874
001481011 77608 $$iPrint version:$$z3031323378$$z9783031323379$$w(OCoLC)1374815810
001481011 830_0 $$aInternational series in operations research & management science ;$$v347.
001481011 852__ $$bebk
001481011 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-32338-6$$zOnline Access$$91397441.1
001481011 909CO $$ooai:library.usi.edu:1481011$$pGLOBAL_SET
001481011 980__ $$aBIB
001481011 980__ $$aEBOOK
001481011 982__ $$aEbook
001481011 983__ $$aOnline
001481011 994__ $$a92$$bISE