Abstract

Recently, the problem of climate is becoming more and more serious and the low carbon idea is accepted by people gradually. Meanwhile, the China’s logistic develop rapidly. Whereas, distribution as the key part, its importance is obvious to see. So, it is significant to research the distribution of logistic activity based on low-carbon with the low-carbon economy put forward. In this dissertation, the paper analyzes and summarizes the research at home and abroad. And then it distinguishes the different distribution model from economy, service and carbon. Besides, it also combines the joint distribution, the green logistic, circular logistic and reverse logistic to contrast. Based on this, the paper propose the way of calculating carbon emission and then build the math model of calculating carbon emission during distribution activity. At last, it uses the genetic algorithm as a tool to set up a experience platform. By using the platform, it researches the distribution math model based on the carbon emission. It also analyzes the result of the experience, and improve the data of the genetic algorithm.

Highlights

  • In recent years, climate issues have attracted more and more attention

  • The results show that the carbon emissions at various stages of the supply chain may threaten the guarantee of each stage of the supply chain [2]; Ding Lianhong and Yang Mingrong analyzed the model research, relevance research and feasibility of low carbon logistics [6]; Jiang Yan and Wu Xiuguo discussed the development of low-carbon logistics from the aspects of logistics technology, logistics information system, logistics mode and laws and regulations [7]

  • Referring to the IPCC mobile carbon source carbon emissions, assuming that there is only one type of distribution vehicle in the distribution process, the calculation of the vehicle carbon emissions during the logistics distribution process can be calculated in the following order: 1) Defining the CO2 unit distance emissions of fuel; 2) Defining the total distance traveled by the delivery vehicle; 3) Defining the maximum load capacity of the vehicle; 4) Calculate the vehicle full load rate; 5) Determine the carbon emission calculation method; 6) Calculate the total carbon emissions during the logistics distribution process

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Summary

Introduction

According to the International Energy Agency, the logistics industry represented by the transportation industry is responsible for 23% of global CO2 emissions. The McKinsey Global Survey (2008) shows that the world's top management is clearly aware of the significant impact of carbon emissions management on future markets in many areas, including the logistics market. Vaidyanathan Jayaraman and Ram Ganeshan pointed out in their book "Sustainable Supply Chain: Models, Methods and Public Policy Applications" that sustainable supply chain development should consider logistics The emission of various CO2 in the process, and divide the sustainable development of the supply chain into national, urban and industrial product development [1]. Sushmera Manikandan's "Modeling carbon footprints across the supply chain" examine supply chain CO2 emissions, and provide theoretical and practical experience for green supply chain management. The results show that the carbon emissions at various stages of the supply chain may threaten the guarantee of each stage of the supply chain [2]; Ding Lianhong and Yang Mingrong analyzed the model research, relevance research and feasibility of low carbon logistics [6]; Jiang Yan and Wu Xiuguo discussed the development of low-carbon logistics from the aspects of logistics technology, logistics information system, logistics mode and laws and regulations [7]

Carbon Emission Measurement Method
Establishment of a Logistics Distribution Model Considering Carbon Emissions
Description of the Problem The known conditions of the problem are as follows
Determination of Algorithm Strategy
Genetic Algorithm Structure
Simulation Platform
Study Description
Simulation Results and Analysis
Conclusion
Full Text
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