A comprehensive survey of recent advances in facility location problems: Models, solution methods, and applications

Logistics management research has significantly benefited from the increased prominence of warehouse management challenges in recent years, which are now extensively utilized in analyzing logistics distribution and transportation networks. Concerning Facility Location Problems and their variations,...

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Main Authors: Ishan Dissanayake, Manishi Gunathilake
Format: Article
Language:English
Published: Centre of Sociological Research, Szczecin, Poland 2024-11-01
Series:Journal of Sustainable Development of Transport and Logistics
Subjects:
Online Access:https://jsdtl.sciview.net/index.php/jsdtl/article/view/227
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author Ishan Dissanayake
Manishi Gunathilake
author_facet Ishan Dissanayake
Manishi Gunathilake
author_sort Ishan Dissanayake
collection DOAJ
description Logistics management research has significantly benefited from the increased prominence of warehouse management challenges in recent years, which are now extensively utilized in analyzing logistics distribution and transportation networks. Concerning Facility Location Problems and their variations, this work attempts to perform an extensive literature assessment of current model advances and improvements. This study also aims to ascertain the influence and developments in Facility Location Problems, which are classic optimization problems with numerous applications in manufacturing, distribution, transportation, and supply chain management decisions. This study thoroughly analyzes current developments in facility location problems, a category of optimization issues frequently used in network architecture, logistics, and supply chain management. The review analyzes literature from the past decade, categorizing works based on problem variants, mathematical formulations, solution methods, and exact approaches. Key findings highlight significant progress in solving complex facility location problems through advances in mathematical programming, scalable exact methods, and hybrid metaheuristics. Emerging trends such as uncertainty modeling, multi-objective optimization, and sustainability are also discussed. Sustainable Development Goals (SDGs): SDG 9: Industry, Innovation and Infrastructure; SDG 11: Sustainable Cities and Communities; SDG 12: Responsible Consumption and Production; SDG 13: Climate Action
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spelling doaj-art-18df419090094c65aef7495977fd66ae2024-11-30T10:14:37ZengCentre of Sociological Research, Szczecin, PolandJournal of Sustainable Development of Transport and Logistics2520-29792024-11-019210.14254/jsdtl.2024.9-2.6A comprehensive survey of recent advances in facility location problems: Models, solution methods, and applicationsIshan Dissanayake0Manishi Gunathilake1CINEC Campus Pvt Ltd, Millennium Drive, IT Park, MalabeCINEC Campus Pvt Ltd, Millennium Drive, IT Park, Malabe Logistics management research has significantly benefited from the increased prominence of warehouse management challenges in recent years, which are now extensively utilized in analyzing logistics distribution and transportation networks. Concerning Facility Location Problems and their variations, this work attempts to perform an extensive literature assessment of current model advances and improvements. This study also aims to ascertain the influence and developments in Facility Location Problems, which are classic optimization problems with numerous applications in manufacturing, distribution, transportation, and supply chain management decisions. This study thoroughly analyzes current developments in facility location problems, a category of optimization issues frequently used in network architecture, logistics, and supply chain management. The review analyzes literature from the past decade, categorizing works based on problem variants, mathematical formulations, solution methods, and exact approaches. Key findings highlight significant progress in solving complex facility location problems through advances in mathematical programming, scalable exact methods, and hybrid metaheuristics. Emerging trends such as uncertainty modeling, multi-objective optimization, and sustainability are also discussed. Sustainable Development Goals (SDGs): SDG 9: Industry, Innovation and Infrastructure; SDG 11: Sustainable Cities and Communities; SDG 12: Responsible Consumption and Production; SDG 13: Climate Action https://jsdtl.sciview.net/index.php/jsdtl/article/view/227exact methodsstrikethroughfacility location modelscenter problems
spellingShingle Ishan Dissanayake
Manishi Gunathilake
A comprehensive survey of recent advances in facility location problems: Models, solution methods, and applications
Journal of Sustainable Development of Transport and Logistics
exact methods
strikethrough
facility location models
center problems
title A comprehensive survey of recent advances in facility location problems: Models, solution methods, and applications
title_full A comprehensive survey of recent advances in facility location problems: Models, solution methods, and applications
title_fullStr A comprehensive survey of recent advances in facility location problems: Models, solution methods, and applications
title_full_unstemmed A comprehensive survey of recent advances in facility location problems: Models, solution methods, and applications
title_short A comprehensive survey of recent advances in facility location problems: Models, solution methods, and applications
title_sort comprehensive survey of recent advances in facility location problems models solution methods and applications
topic exact methods
strikethrough
facility location models
center problems
url https://jsdtl.sciview.net/index.php/jsdtl/article/view/227
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AT ishandissanayake comprehensivesurveyofrecentadvancesinfacilitylocationproblemsmodelssolutionmethodsandapplications
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