Research Article
Research on Compensation Mechanism for Two-Stage Delayed Delivery Problems Based on Whole Vehicle Logistics
@INPROCEEDINGS{10.4108/eai.27-10-2023.2342026, author={Lei Zhou and Xiaonan Sun}, title={Research on Compensation Mechanism for Two-Stage Delayed Delivery Problems Based on Whole Vehicle Logistics }, proceedings={Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27--29, 2023, Tianjin, China}, publisher={EAI}, proceedings_a={ICEMBDA}, year={2024}, month={1}, keywords={full truck delivery; delayed delivery; compensation mechanism; expected value; stochastic programming}, doi={10.4108/eai.27-10-2023.2342026} }
- Lei Zhou
Xiaonan Sun
Year: 2024
Research on Compensation Mechanism for Two-Stage Delayed Delivery Problems Based on Whole Vehicle Logistics
ICEMBDA
EAI
DOI: 10.4108/eai.27-10-2023.2342026
Abstract
With the continuous development of China's economic opening up to the outside world, the logistics market benefit expansion, the competitiveness of the automobile industry is more and more dependent on the service level of the vehicle logistics industry, so the efficient automobile distribution program has become the focus of attention of the logistics industry. Aiming at the problem that there are a lot of delays in the actual distribution, which leads to the decline of customer satisfaction, this paper proposes a compensation mechanism for delayed distribution to protect the rights and interests of customers. First of all, through the expected value model to solve the residual volume that does not meet the requirements of vehicle distribution and the randomness of the new phase demand; after that, according to the idea that the distribution cost saved by the logistics enterprise delayed distribution is compensated to the customer according to a certain proportion of the cost analysis, and established the compensation model of the first phase of the residual volume obeying different distributions; finally, combined with the case study to determine the compensation mechanism.