Abstract
The development of the sharing economy has provided new ideas for a vehicle-sharing urban logistics network cooperative distribution strategy. In view of the lack of dispatching capacity or transportation capacity of logistics enterprises with multiple distribution centers, this paper proposes a vehicle-sharing urban logistics network cooperative distribution strategy. Based on the comprehensive consideration of a multi-distribution center, multi-model, rental vehicle, load, speed, fuel consumption, and other factors, the calculation method of vehicle energy consumption is introduced, the network collaborative distribution model with vehicle sharing is established, and an adaptive genetic algorithm combined with a scanning algorithm is designed. Finally, the validity and reliability of the mathematical model and algorithm are validated and analyzed by an example. The research results show that vehicle sharing can improve the efficiency of the distribution network and effectively reduce costs.
Highlights
With the vigorous development of electronic logistics and urban express delivery, especially holiday promotions, the transportation capacity of the logistics and distribution industry has become increasingly demanding
How to adjust the transportation capacity of enterprises to adapt to the dramatic changes in logistics demand has become crucial
Based on the comprehensive consideration of multi-distribution center, multi-model, rental vehicle, load, speed, fuel consumption, and other factors, the calculation method of vehicle energy consumption was introduced, and the network collaborative distribution model with vehicle sharing was established on the basis of considering multi-constraint conditions
Summary
With the vigorous development of electronic logistics and urban express delivery, especially holiday promotions, the transportation capacity of the logistics and distribution industry has become increasingly demanding. How to adjust the transportation capacity of enterprises to adapt to the dramatic changes in logistics demand has become crucial. The logistics system optimization strategy of networked collaborative distribution, timely sharing, and rental vehicles has become important research content to solve this problem. The vehicle routing problem has been developed for more than 50 years. Many scholars have researched it in depth, and the factors considered are more and more comprehensive. Compared with the single depot problem, the multi-depot vehicle routing problem (MDVRP) becomes more complex, especially in the case of sharing and leasing of vehicles and vehicle type selection, which is more difficult to solve effectively. Wang et al [1]
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