Establishment and Application of Logistics Enterprises’ Low-Carbon Factors Index System

Yang, Meng; Tian, Yuan

doi:10.1007/978-3-642-32054-5_58

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Journal Of Clean Energy Technologies Vol 4 No 3 May 20161

Introduction1

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“…The more non-renewable energy the logistics industry uses, the more carbon the logistics industry will emit [9].…”

Section: Journal Of Clean Energy Technologies Vol 4 No 3 May 2016mentioning

confidence: 99%

Analysis of Influence Factors for Low-Carbon Logistics

Nie¹,

Cao²,

Xiao³

et al. 2015

JOCET

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“…The more non-renewable energy the logistics industry uses, the more carbon the logistics industry will emit [9].…”

Section: Journal Of Clean Energy Technologies Vol 4 No 3 May 2016mentioning

confidence: 99%

Analysis of Influence Factors for Low-Carbon Logistics

Nie¹,

Cao²,

Xiao³

et al. 2015

JOCET

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show abstract

“…Low carbon logistics is one frontier domain of research, which catches more and more attention of scholars. Most low carbon logistics researches are focused on the macroscopic aspects, which are the qualitative researches of low carbon logistics, including low carbon logistics itself analysis [2][3][4][5], low carbon logistics system analysis [6][7][8], and low carbon logistics network analysis [9][10][11]. However, there are only few researches about microscopic aspects of low carbon logistics.…”

Section: Introductionmentioning

confidence: 99%

The Research on Low Carbon Logistics Routing Optimization Based on DNA-Ant Colony Algorithm

Zhang

Wang

Teng

et al. 2014

Discrete Dynamics in Nature and Society

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As the energy conservation and emission reduction and sustainable development have become the hot topics in the world, low carbon issues catch more and more attention. Logistics, which is one of the important economic activities, plays a crucial role in the low carbon development. Logistics leads to some significant issues about consuming energy and carbon emissions. Therefore, reducing energy consumption and carbon emissions has become the inevitable trend for logistics industry. Low carbon logistics is introduced in these situations. In this paper, from the microcosmic aspects, we will bring the low carbon idea in the path optimization issues and change the amount of carbon emissions into carbon emissions cost to establish the path optimization model based on the optimization objectives of the lowest cost of carbon emissions. According to different levels of air pollution, we will establish the double objectives path optimization model with the consideration of carbon emissions cost and economy cost. Use DNA-ant colony algorithm to optimize and simulate the model. The simulation indicates that DNA-ant colony algorithm could find a more reasonable solution for low carbon logistics path optimization problems.

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Establishment and Application of Logistics Enterprises’ Low-Carbon Factors Index System

Cited by 2 publications

References 1 publication

Analysis of Influence Factors for Low-Carbon Logistics

Analysis of Influence Factors for Low-Carbon Logistics

The Research on Low Carbon Logistics Routing Optimization Based on DNA-Ant Colony Algorithm

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