Random Energy-Efficient Models for Sustainable Facility Location Subject to Carbon Emission, Economical, Capacitated and Regional Constraints

An uncertainty facility location allocation (FLA) problem is a complex nonlinear optimization problem. Currently, researchers have discussed the stochastic cost/profit issues of FLA. However, rising energy conservation awareness and environmental concerns, energy-efficientcy and low-carbon emission...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Hongfei Jia, Yingjun Xu, Guangdong Tian, Mengchu Zhou, June Zhang, Honghao Zhang
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2018
Materias:	Sustainable facility location transportation data processing modeling and simulation Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/13094bebc4b441f4b5e52714a8ab401b
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:13094bebc4b441f4b5e52714a8ab401b
record_format	dspace
spelling	oai:doaj.org-article:13094bebc4b441f4b5e52714a8ab401b2021-11-19T00:02:12ZRandom Energy-Efficient Models for Sustainable Facility Location Subject to Carbon Emission, Economical, Capacitated and Regional Constraints2169-353610.1109/ACCESS.2018.2870596https://doaj.org/article/13094bebc4b441f4b5e52714a8ab401b2018-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/8466770/https://doaj.org/toc/2169-3536An uncertainty facility location allocation (FLA) problem is a complex nonlinear optimization problem. Currently, researchers have discussed the stochastic cost/profit issues of FLA. However, rising energy conservation awareness and environmental concerns, energy-efficientcy and low-carbon emission should be regarded as key criteria in solving it. To do so, this paper presents a new FLA problem from a sustainable development point of view. By taking a typical facility service enterprise as a case, a new stochastic energy-efficient FLA model subject to carbon emission, economical, capacitated, and regional constraints is formulated. Then, stochastic simulation and scatter search are integrated as an intelligent algorithm to resolve it. Some examples are demonstrated to prove the availability of the proposed model and solution algorithm.Hongfei JiaYingjun XuGuangdong TianMengchu ZhouJune ZhangHonghao ZhangIEEEarticleSustainable facility locationtransportationdata processingmodeling and simulationElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 6, Pp 72757-72765 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Sustainable facility location transportation data processing modeling and simulation Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Sustainable facility location transportation data processing modeling and simulation Electrical engineering. Electronics. Nuclear engineering TK1-9971 Hongfei Jia Yingjun Xu Guangdong Tian Mengchu Zhou June Zhang Honghao Zhang Random Energy-Efficient Models for Sustainable Facility Location Subject to Carbon Emission, Economical, Capacitated and Regional Constraints
description	An uncertainty facility location allocation (FLA) problem is a complex nonlinear optimization problem. Currently, researchers have discussed the stochastic cost/profit issues of FLA. However, rising energy conservation awareness and environmental concerns, energy-efficientcy and low-carbon emission should be regarded as key criteria in solving it. To do so, this paper presents a new FLA problem from a sustainable development point of view. By taking a typical facility service enterprise as a case, a new stochastic energy-efficient FLA model subject to carbon emission, economical, capacitated, and regional constraints is formulated. Then, stochastic simulation and scatter search are integrated as an intelligent algorithm to resolve it. Some examples are demonstrated to prove the availability of the proposed model and solution algorithm.
format	article
author	Hongfei Jia Yingjun Xu Guangdong Tian Mengchu Zhou June Zhang Honghao Zhang
author_facet	Hongfei Jia Yingjun Xu Guangdong Tian Mengchu Zhou June Zhang Honghao Zhang
author_sort	Hongfei Jia
title	Random Energy-Efficient Models for Sustainable Facility Location Subject to Carbon Emission, Economical, Capacitated and Regional Constraints
title_short	Random Energy-Efficient Models for Sustainable Facility Location Subject to Carbon Emission, Economical, Capacitated and Regional Constraints
title_full	Random Energy-Efficient Models for Sustainable Facility Location Subject to Carbon Emission, Economical, Capacitated and Regional Constraints
title_fullStr	Random Energy-Efficient Models for Sustainable Facility Location Subject to Carbon Emission, Economical, Capacitated and Regional Constraints
title_full_unstemmed	Random Energy-Efficient Models for Sustainable Facility Location Subject to Carbon Emission, Economical, Capacitated and Regional Constraints
title_sort	random energy-efficient models for sustainable facility location subject to carbon emission, economical, capacitated and regional constraints
publisher	IEEE
publishDate	2018
url	https://doaj.org/article/13094bebc4b441f4b5e52714a8ab401b
work_keys_str_mv	AT hongfeijia randomenergyefficientmodelsforsustainablefacilitylocationsubjecttocarbonemissioneconomicalcapacitatedandregionalconstraints AT yingjunxu randomenergyefficientmodelsforsustainablefacilitylocationsubjecttocarbonemissioneconomicalcapacitatedandregionalconstraints AT guangdongtian randomenergyefficientmodelsforsustainablefacilitylocationsubjecttocarbonemissioneconomicalcapacitatedandregionalconstraints AT mengchuzhou randomenergyefficientmodelsforsustainablefacilitylocationsubjecttocarbonemissioneconomicalcapacitatedandregionalconstraints AT junezhang randomenergyefficientmodelsforsustainablefacilitylocationsubjecttocarbonemissioneconomicalcapacitatedandregionalconstraints AT honghaozhang randomenergyefficientmodelsforsustainablefacilitylocationsubjecttocarbonemissioneconomicalcapacitatedandregionalconstraints
_version_	1718420651681775616

Random Energy-Efficient Models for Sustainable Facility Location Subject to Carbon Emission, Economical, Capacitated and Regional Constraints

Ejemplares similares