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Uncertainty in facility location problems
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 context...
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Corporate Author: | |
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Other Authors: | , |
Format: | eBook |
Language: | English |
Published: |
Cham :
Springer,
[2023]
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Series: | International series in operations research & management science ;
347. |
Physical Description: |
1 online resource (xxii, 431 pages) : illustrations (some color). |
Subjects: | |
Online Access: | SpringerLink - Click here for access |
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245 | 0 | 0 | |a Uncertainty in facility location problems / |c H.A. Eiselt, Vladimir Marianov, editors. |
264 | 1 | |a Cham : |b Springer, |c [2023] | |
264 | 4 | |c ©2023. | |
300 | |a 1 online resource (xxii, 431 pages) : |b illustrations (some color). | ||
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490 | 1 | |a International series in operations research & management science ; |v volume 347. | |
504 | |a Includes bibliographical references. | ||
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. | ||
505 | 0 | |6 880-01 |a Intro -- 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. | |
505 | 8 | |a 2.1 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. | |
505 | 8 | |a 4.2 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. | |
505 | 8 | |a 4 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. | |
588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed September 26, 2023). | |
650 | 0 | |a Location problems (Programming) |0 https://id.loc.gov/authorities/subjects/sh2002004443. | |
650 | 0 | |a Decision making. |0 https://id.loc.gov/authorities/subjects/sh85036199. | |
650 | 0 | |a Operations research. |0 https://id.loc.gov/authorities/subjects/sh85095020. | |
650 | 0 | |a Mathematical optimization. |0 https://id.loc.gov/authorities/subjects/sh85082127. | |
650 | 6 | |a Problèmes de localisation (Programmation) | |
650 | 6 | |a Prise de décision. | |
650 | 6 | |a Recherche opérationnelle. | |
650 | 6 | |a Optimisation mathématique. | |
650 | 7 | |a decision making. |2 aat. | |
650 | 7 | |a Decision making. |2 fast. | |
650 | 7 | |a Location problems (Programming) |2 fast. | |
650 | 7 | |a Mathematical optimization. |2 fast. | |
650 | 7 | |a Operations research. |2 fast. | |
700 | 1 | |a Eiselt, Horst A., |d 1950- |0 https://id.loc.gov/authorities/names/n86032462 |1 https://isni.org/isni/0000000109829403, |e editor. | |
700 | 1 | |a Marianov, Vladimir |0 https://id.loc.gov/authorities/names/nb2011003655 |1 https://isni.org/isni/0000000115017874, |e editor. | |
710 | 2 | |a SpringerLink (Online service) |0 https://id.loc.gov/authorities/names/no2005046756. | |
776 | 0 | 8 | |i Print version: |z 3031323378 |z 9783031323379 |w (OCoLC)1374815810. |
830 | 0 | |a International series in operations research & management science ; |0 https://id.loc.gov/authorities/names/n95066827 |v 347. | |
880 | 8 | |6 505-01/(S |a 3 Proposed Estimators of Adverse Effects -- 3.1 Hazard at a Population Center -- 3.2 Period of Exposure of the Population -- 4 Hazardous Materials Routing Models with Multiple OD Pairs/Multiple Materials -- 5 Application -- 5.1 Results for M1, M1*, and M1** -- 5.2 Model M2 -- 5.2.1 Analysis of M2 for Different Values of αk and βk -- 5.2.2 Effects of Constraining Hazard and Period of Exposure at Individual Points -- 6 Conclusions and Future Research -- References -- Customer-Related Uncertainties in Facility Location Problems -- 1 Introduction -- 2 Sources of Uncertainty. | |
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