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

Hongfei Jia; Yingjun Xu; Guangdong Tian; Mengchu Zhou; June Zhang; Honghao Zhang

doi:10.1109/ACCESS.2018.2870596

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

Hongfei Jia, Yingjun Xu, Guangdong Tian, Mengchu Zhou, June Zhang, Honghao Zhang

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

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.

Original language	English (US)
Article number	8466770
Pages (from-to)	72757-72765
Number of pages	9
Journal	IEEE Access
Volume	6
DOIs	https://doi.org/10.1109/ACCESS.2018.2870596
State	Published - Sep 15 2018

All Science Journal Classification (ASJC) codes

General Computer Science
General Materials Science
General Engineering

Keywords

Sustainable facility location
data processing
modeling and simulation
transportation

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10.1109/ACCESS.2018.2870596

Cite this

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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.",

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AU - Jia, Hongfei

AU - Xu, Yingjun

AU - Tian, Guangdong

AU - Zhou, Mengchu

AU - Zhang, June

AU - Zhang, Honghao

PY - 2018/9/15

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

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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