Low-Carbon Planning and Design in B&R Logistics Service: A Case Study of an E-Commerce Big Data Platform in China

Abstract

Abstract:The concept of sustainable development requires us to explore a completeness model of low carbon transport and service in the light of the advancement of changes in world cooperation policy. Various kinds of carbon constraints not only limit emissions of contaminants from E-commerce Enterprise of different countries, but they also ensure the market activity around the Belt and Road, so as to avoid the implementation reducing the company's profits significantly. This paper discusses of the strictest periodic low-carbon constraints_(PLC) and the expansion of the mainstream with three relatively weak attributes-cumulative_(CLC), full cycle_(FCLC), and volatility_(VLC)-taking into account the offline delivery of lead time and the online relationship between supply and demand on the platform. We have established four decision models with different carbon confinement intensities and inferred the impact of more detailed carbon constraints on E-commerce delivery strategies. The appropriate operational decisions, under a wide spectrum of carbon constraints, help e-companies develop scientific delivery plans, and provide some inspiration for the promotion of low carbon economy system construction and environmental significance.

A New TS Algorithm for Solving Low-Carbon Logistics Vehicle Routing Problem with Split Deliveries by Backpack—From a Green Operation Perspective

“…They also pointed out that whether highway logistics enterprises implement low-carbon strategies is the consequence of the game between government and highway logistics enterprises and concerns a variety of issues. In order to help the e-commerce enterprise develop low-carbon logistics, Ji et al [ 15 ] studied the strategies of low-carbon transport and service in e-commerce business. They established four decision models with different carbon confinement intensities and inferred the impact of more detailed carbon constraints on e-commerce delivery strategies.…”

“…The VRP is an NP-hard problem [ 33 ]. An exact algorithm is difficult to use to solve large-scale VRP, so lots of scholars usually use a metaheuristic algorithm to solve it [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 ]. For example, the survey of metaheuristics for the VRP by Gendreau et al [ 36 ] shows that a tabu search (TS) algorithm emerges as the most effective approach.…”

Innovation Mode and Optimization Strategy of B2C E-Commerce Logistics Distribution under Big Data

“…Logistics distribution becomes a key indicator in terms of evaluating the competitiveness of e-commerce companies [8][9][10][11][12][13][14][15]. Distribution mode directly determines the cost and the quality of logistics distribution of e-commerce companies, as well as the supply chain [16][17][18][19][20]. Logistics distribution of B2C e-commerce under big data has taking on the information concentration, sharing distribution resource and integration of data resources, etc.…”

A Contract Coordination Model of Dual-Channel Delivery between UAVs and Couriers Considering the Uncertainty of Delivery for Last Mile

“…e market for the last-kilometer logistics in urban areas is huge, and when combined with the UAV model, consumer demand is fully re ected [8]. Consumers are gradually forming the habit of online shopping, and the trend of globalization provides consumers with richer and safer choices [9]. With the ever-increasing size of the e-commerce market, only the matching high-e cient last-kilometer distribution can help achieve this goal [10].…”