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...
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Autor*in:	Hongfei Jia [verfasserIn] Yingjun Xu [verfasserIn] Guangdong Tian [verfasserIn] Mengchu Zhou [verfasserIn] June Zhang [verfasserIn] Honghao Zhang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	Sustainable facility location transportation data processing modeling and simulation

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 6(2018), Seite 72757-72765
Übergeordnetes Werk:	volume:6 ; year:2018 ; pages:72757-72765

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2018.2870596

Katalog-ID:	DOAJ072263261

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spelling	10.1109/ACCESS.2018.2870596 doi (DE-627)DOAJ072263261 (DE-599)DOAJ13094bebc4b441f4b5e52714a8ab401b DE-627 ger DE-627 rakwb eng TK1-9971 Hongfei Jia verfasserin aut Random Energy-Efficient Models for Sustainable Facility Location Subject to Carbon Emission, Economical, Capacitated and Regional Constraints 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Sustainable facility location transportation data processing modeling and simulation Electrical engineering. Electronics. Nuclear engineering Yingjun Xu verfasserin aut Guangdong Tian verfasserin aut Mengchu Zhou verfasserin aut June Zhang verfasserin aut Honghao Zhang verfasserin aut In IEEE Access IEEE, 2014 6(2018), Seite 72757-72765 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:6 year:2018 pages:72757-72765 https://doi.org/10.1109/ACCESS.2018.2870596 kostenfrei https://doaj.org/article/13094bebc4b441f4b5e52714a8ab401b kostenfrei https://ieeexplore.ieee.org/document/8466770/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2018 72757-72765
allfields_unstemmed	10.1109/ACCESS.2018.2870596 doi (DE-627)DOAJ072263261 (DE-599)DOAJ13094bebc4b441f4b5e52714a8ab401b DE-627 ger DE-627 rakwb eng TK1-9971 Hongfei Jia verfasserin aut Random Energy-Efficient Models for Sustainable Facility Location Subject to Carbon Emission, Economical, Capacitated and Regional Constraints 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Sustainable facility location transportation data processing modeling and simulation Electrical engineering. Electronics. Nuclear engineering Yingjun Xu verfasserin aut Guangdong Tian verfasserin aut Mengchu Zhou verfasserin aut June Zhang verfasserin aut Honghao Zhang verfasserin aut In IEEE Access IEEE, 2014 6(2018), Seite 72757-72765 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:6 year:2018 pages:72757-72765 https://doi.org/10.1109/ACCESS.2018.2870596 kostenfrei https://doaj.org/article/13094bebc4b441f4b5e52714a8ab401b kostenfrei https://ieeexplore.ieee.org/document/8466770/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2018 72757-72765
allfieldsGer	10.1109/ACCESS.2018.2870596 doi (DE-627)DOAJ072263261 (DE-599)DOAJ13094bebc4b441f4b5e52714a8ab401b DE-627 ger DE-627 rakwb eng TK1-9971 Hongfei Jia verfasserin aut Random Energy-Efficient Models for Sustainable Facility Location Subject to Carbon Emission, Economical, Capacitated and Regional Constraints 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Sustainable facility location transportation data processing modeling and simulation Electrical engineering. Electronics. Nuclear engineering Yingjun Xu verfasserin aut Guangdong Tian verfasserin aut Mengchu Zhou verfasserin aut June Zhang verfasserin aut Honghao Zhang verfasserin aut In IEEE Access IEEE, 2014 6(2018), Seite 72757-72765 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:6 year:2018 pages:72757-72765 https://doi.org/10.1109/ACCESS.2018.2870596 kostenfrei https://doaj.org/article/13094bebc4b441f4b5e52714a8ab401b kostenfrei https://ieeexplore.ieee.org/document/8466770/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2018 72757-72765
allfieldsSound	10.1109/ACCESS.2018.2870596 doi (DE-627)DOAJ072263261 (DE-599)DOAJ13094bebc4b441f4b5e52714a8ab401b DE-627 ger DE-627 rakwb eng TK1-9971 Hongfei Jia verfasserin aut Random Energy-Efficient Models for Sustainable Facility Location Subject to Carbon Emission, Economical, Capacitated and Regional Constraints 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Sustainable facility location transportation data processing modeling and simulation Electrical engineering. Electronics. Nuclear engineering Yingjun Xu verfasserin aut Guangdong Tian verfasserin aut Mengchu Zhou verfasserin aut June Zhang verfasserin aut Honghao Zhang verfasserin aut In IEEE Access IEEE, 2014 6(2018), Seite 72757-72765 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:6 year:2018 pages:72757-72765 https://doi.org/10.1109/ACCESS.2018.2870596 kostenfrei https://doaj.org/article/13094bebc4b441f4b5e52714a8ab401b kostenfrei https://ieeexplore.ieee.org/document/8466770/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2018 72757-72765
language	English
source	In IEEE Access 6(2018), Seite 72757-72765 volume:6 year:2018 pages:72757-72765
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topic_facet	Sustainable facility location transportation data processing modeling and simulation Electrical engineering. Electronics. Nuclear engineering
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authorswithroles_txt_mv	Hongfei Jia @@aut@@ Yingjun Xu @@aut@@ Guangdong Tian @@aut@@ Mengchu Zhou @@aut@@ June Zhang @@aut@@ Honghao Zhang @@aut@@
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callnumber-first	T - Technology
author	Hongfei Jia
spellingShingle	Hongfei Jia misc TK1-9971 misc Sustainable facility location misc transportation misc data processing misc modeling and simulation misc Electrical engineering. Electronics. Nuclear engineering Random Energy-Efficient Models for Sustainable Facility Location Subject to Carbon Emission, Economical, Capacitated and Regional Constraints
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topic_title	TK1-9971 Random Energy-Efficient Models for Sustainable Facility Location Subject to Carbon Emission, Economical, Capacitated and Regional Constraints Sustainable facility location transportation data processing modeling and simulation
topic	misc TK1-9971 misc Sustainable facility location misc transportation misc data processing misc modeling and simulation misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc Sustainable facility location misc transportation misc data processing misc modeling and simulation misc Electrical engineering. Electronics. Nuclear engineering
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title	Random Energy-Efficient Models for Sustainable Facility Location Subject to Carbon Emission, Economical, Capacitated and Regional Constraints
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title_auth	Random Energy-Efficient Models for Sustainable Facility Location Subject to Carbon Emission, Economical, Capacitated and Regional Constraints
abstract	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.
abstractGer	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.
abstract_unstemmed	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.
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title_short	Random Energy-Efficient Models for Sustainable Facility Location Subject to Carbon Emission, Economical, Capacitated and Regional Constraints
url	https://doi.org/10.1109/ACCESS.2018.2870596 https://doaj.org/article/13094bebc4b441f4b5e52714a8ab401b https://ieeexplore.ieee.org/document/8466770/ https://doaj.org/toc/2169-3536
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Random Energy-Efficient Models for Sustainable Facility Location Subject to Carbon Emission, Economical, Capacitated and Regional Constraints

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