A fuzzy linear fractional programming approach to design of distribution networks

This paper studies the distribution network design problem considering the uncertain information in the demand, capacities, costs and prices in a multi-product environment and multiple periods. We consider a fractional objective function that consist in maximize the ratio between total profit and to...

Full description

Autores:
Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/23749
Acceso en línea:
https://doi.org/10.1007/978-3-030-00350-0_9
https://repository.urosario.edu.co/handle/10336/23749
Palabra clave:
Costs
Electric power distribution
Fuzzy sets
Linear programming
Mathematical transformations
Product design
Facility location problem
Fuzzy-constraint
Linear fractional programming
Multi objective
Multi-products
Network design problems
Objective functions
Uncertain informations
Problem solving
Distribution network
Fuzzy linear fractional programming
Fuzzy sets
Linear fractional programming
Rights
License
http://purl.org/coar/access_right/c_abf2
id EDOCUR2_1f8077951c84bb43662d24e4dbd0212b
oai_identifier_str oai:repository.urosario.edu.co:10336/23749
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling A fuzzy linear fractional programming approach to design of distribution networksCostsElectric power distributionFuzzy setsLinear programmingMathematical transformationsProduct designFacility location problemFuzzy-constraintLinear fractional programmingMulti objectiveMulti-productsNetwork design problemsObjective functionsUncertain informationsProblem solvingDistribution networkFuzzy linear fractional programmingFuzzy setsLinear fractional programmingThis paper studies the distribution network design problem considering the uncertain information in the demand, capacities, costs and prices in a multi-product environment and multiple periods. We consider a fractional objective function that consist in maximize the ratio between total profit and total cost. We use a model that integrates a facility location problem with a distribution network problem with fuzzy constraints, technological coefficients, and costs. To solve the problem, we use a method that transform the fuzzy linear fractional programming model in an equivalent multi-objective linear fractional programming problem to calculate the upper, middle and lower bounds of the original problem. © 2018, Springer Nature Switzerland AG.Springer Verlag20182020-05-26T00:05:04Zinfo:eu-repo/semantics/conferenceObjecthttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fapplication/pdfhttps://doi.org/10.1007/978-3-030-00350-0_918650929https://repository.urosario.edu.co/handle/10336/23749instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURenghttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85054056046&doi=10.1007%2f978-3-030-00350-0_9&partnerID=40&md5=92973cc0e56965d9f470f8cef19f1b81http://purl.org/coar/access_right/c_abf2López-Santana E.Franco Franco, Carlos AlbertoFigueroa-García J.C.oai:repository.urosario.edu.co:10336/237492022-05-02T07:37:16Z
dc.title.none.fl_str_mv A fuzzy linear fractional programming approach to design of distribution networks
title A fuzzy linear fractional programming approach to design of distribution networks
spellingShingle A fuzzy linear fractional programming approach to design of distribution networks
Costs
Electric power distribution
Fuzzy sets
Linear programming
Mathematical transformations
Product design
Facility location problem
Fuzzy-constraint
Linear fractional programming
Multi objective
Multi-products
Network design problems
Objective functions
Uncertain informations
Problem solving
Distribution network
Fuzzy linear fractional programming
Fuzzy sets
Linear fractional programming
title_short A fuzzy linear fractional programming approach to design of distribution networks
title_full A fuzzy linear fractional programming approach to design of distribution networks
title_fullStr A fuzzy linear fractional programming approach to design of distribution networks
title_full_unstemmed A fuzzy linear fractional programming approach to design of distribution networks
title_sort A fuzzy linear fractional programming approach to design of distribution networks
dc.subject.none.fl_str_mv Costs
Electric power distribution
Fuzzy sets
Linear programming
Mathematical transformations
Product design
Facility location problem
Fuzzy-constraint
Linear fractional programming
Multi objective
Multi-products
Network design problems
Objective functions
Uncertain informations
Problem solving
Distribution network
Fuzzy linear fractional programming
Fuzzy sets
Linear fractional programming
topic Costs
Electric power distribution
Fuzzy sets
Linear programming
Mathematical transformations
Product design
Facility location problem
Fuzzy-constraint
Linear fractional programming
Multi objective
Multi-products
Network design problems
Objective functions
Uncertain informations
Problem solving
Distribution network
Fuzzy linear fractional programming
Fuzzy sets
Linear fractional programming
description This paper studies the distribution network design problem considering the uncertain information in the demand, capacities, costs and prices in a multi-product environment and multiple periods. We consider a fractional objective function that consist in maximize the ratio between total profit and total cost. We use a model that integrates a facility location problem with a distribution network problem with fuzzy constraints, technological coefficients, and costs. To solve the problem, we use a method that transform the fuzzy linear fractional programming model in an equivalent multi-objective linear fractional programming problem to calculate the upper, middle and lower bounds of the original problem. © 2018, Springer Nature Switzerland AG.
publishDate 2018
dc.date.none.fl_str_mv 2018
2020-05-26T00:05:04Z
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_c94f
dc.identifier.none.fl_str_mv https://doi.org/10.1007/978-3-030-00350-0_9
18650929
https://repository.urosario.edu.co/handle/10336/23749
url https://doi.org/10.1007/978-3-030-00350-0_9
https://repository.urosario.edu.co/handle/10336/23749
identifier_str_mv 18650929
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054056046&doi=10.1007%2f978-3-030-00350-0_9&partnerID=40&md5=92973cc0e56965d9f470f8cef19f1b81
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer Verlag
publisher.none.fl_str_mv Springer Verlag
dc.source.none.fl_str_mv instname:Universidad del Rosario
reponame:Repositorio Institucional EdocUR
instname_str Universidad del Rosario
institution Universidad del Rosario
reponame_str Repositorio Institucional EdocUR
collection Repositorio Institucional EdocUR
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1803710532618813440

Publicaciones similares