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Uncertainty in facility location problems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Uncertainty in facility location problemsedited by H. A. Eiselt, Vladimir Marianov.
other author:	Eiselt, Horst A.
Published:	Cham :Springer International Publishing :2023.
Description:	xxii, 431 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Location problems (Programming)
Online resource:	https://doi.org/10.1007/978-3-031-32338-6
ISBN:	9783031323386$q(electronic bk.)

Uncertainty in facility location problems
Uncertainty in facility location problems[electronic resource] /edited by H. A. Eiselt, Vladimir Marianov. - Cham :Springer International Publishing :2023. - xxii, 431 p. :ill. (some col.), digital ;24 cm. - International series in operations research & management science,v. 3472214-7934 ;. - International series in operations research & management science ;v. 140..

Part 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.

This 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.

ISBN: 9783031323386$q(electronic bk.)

Standard No.: 10.1007/978-3-031-32338-6doiSubjects--Topical Terms:

470004
Location problems (Programming)

LC Class. No.: QA402.6

Dewey Class. No.: 658.4034

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505 0 $a Part 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 $a This 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.
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650 0 $a Decision making. $3 183849
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650 0 $a Mathematical optimization. $3 183292
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650 2 4 $a Logistics. $3 200159
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700 1 $a Eiselt, Horst A. $3 929098
700 1 $a Marianov, Vladimir. $3 510540
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830 0 $a International series in operations research & management science ; $v v. 140. $3 490892
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950 $a Business and Management (SpringerNature-41169)