| With growth of economic and continuous improvement of people’s living standards,consumers are not only concerned about the safety of food, and have more pursuit of freshand nutrition, and thus it promotes the development of cold chain logistics. Since we arefacing the threat of global warming caused by the greenhouse effect leading to a series ofecological disasters, for this, the world actively promote the development of low-carboneconomy, and China has also a positive response. So the cold chain logistics as high energyconsumption and carbon emissions’ business of logistics industry, its carbon emissions and"low carbon economy" theme contradictory, and resulting in the rapid development it shouldbe considered to reduce carbon emissions, and go development of green logistics road, andadapt to the trend of low-carbon. So it is a very serious issue worth thinking and researchesthat cold chain logistics how to save energy to reduce carbon emissions and seek a win-wineconomic and environmental benefit.This paper studies the path of carbon emissions of Cold Chain Logistics Vehicle FarmDelivery based on agricultural super-docking mode that is the new form of circulation ofagricultural products. Firstly, the paper analyzes similarities and differences of freshagricultural products’ circulation between agricultural super-docking and the traditionaldistribution channels; Then this paper is based on traditional vehicle routing problem, fromthe perspective of fresh agricultural products cold chain logistics enterprises, analyzingfeatures of fresh agricultural products distribution routes based on the agriculturalsuper-docking mode and build functions which is related to carbon emissions, includingwithout considering refrigeration equipment, two aspects’ CO2emissions which are fromvehicle transportation (full load transport) and bulk transport vehicles (non-full load transport)which in turn contains carbon emissions associated with transport distance and cargocapacity (volume) with vehicle traveling; carbon emissions from refrigeration equipment forcustomers in the distribution of goods vehicles traveling; carbon emissions from refrigerationequipment associated with the customer time windows(carbon emissions from the dischargewithin the customer time window and which is not in the specified time window like advanceor delay); carbon emissions from completing the delivery service to return distribution center. In this paper considering the vehicle routing problem with the weight of the goods and thetime window, to meet the customers (supermarket stores) to limit demand, time windows,load, so that the sum of the parts above the minimum carbon emission as targets, build thebasic optimization model of vehicles’ distribution route of fresh agricultural products underthe agricultural super-docking mode, seeking distribution program of smallest CO2emissionsin distribution process, including the required number of delivery vehicles and distributionlines. The paper aims at the shortage of the basic genetic algorithm which is in solving vehiclerouting optimization problem, for coding, selection, crossover and mutation of geneticalgorithm on the basis of the relevant literature on learning, combined with the actualsituation in this study were designed to improve the problem, using genetic algorithm ofadaptive crossover and mutation to solve model constructed herein; Finally, case studies thatis based on relevant data of Shandong Jiajiayue supermarket, using Matlab softwareprogramming to solve the case, to verify rationality and feasibility of the constructed modeland algorithm of this paper.Conclusions of this study can make fresh agricultural productslogistics enterprises in thedistribution process to reduce carbon emissions, saving energy to reduce cost as basis, andreasonably arrange the number of delivery vehicles, distribution lines and distribution of timeto get the economic, social and environmental benefits, and it has a good application value. |
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