An online intelligent vehicle routing and scheduling approach for B2C e-commerce urban logistics distribution

This paper investigates a large-scale vehicle routing and scheduling problem of B2C e -commerce urban logistics distribution in China. A qualitative and quantitative combined online intelligent scheduling approach is developed by means of incorporating operations research methods and artificial intelligence technologies. This approach aims to make good use of advantages of qualitative and quantitative methods by the complementarily of model-based computing in operations research and knowledgebased searching in artificial intelligence. A case study from a Chinese e-commerce company demonstrates its effectiveness. (C) 2019 The Authors. Published by Elsevier B.V.