Abstract
With the development of logistics, a well-designed distribution plan plays an important role in the distribution process. In order to improve the economic benefit of enterprise and customer satisfaction, this paper introduces the consumer value into disruption management for vehicle routing problem (VRP). Based on the consumer value that computed through expert evaluation and cloud model, the cloud model was adopted to classify the target consumers into three levels. Then, a consumer value-based VRP disruption management was established, which measures the deviations from the perspectives of consumer, distribution centre and driver. After that, the tree-seed algorithm (TSA) was improved by the immune algorithm (IA) to solve the established model, and proved valid through simulation. The research findings shed new light on the routing of distribution vehicles in the event of disruptions.
Highlights
Logistics distribution, an important aspect of modern life, can be improved in many ways
In 1959, Dantzig and Ramser [1] proposed the vehicle routing problem (VRP) to find the optimal set of routes for a fleet of vehicles to traverse in order to deliver to a given set of customers
Examined the logistics distribution VRP with backhauls, set up a two-way vehicle scheduling model based on mileage and the number of consumers, and solved the model with the particle swarm optimization (PSO), coupling hill-climbing algorithm
Summary
An important aspect of modern life, can be improved in many ways. INDEX TERMS Vehicle routing, consumer value, disruption management, improved tree-seed algorithm. It is significant to consider the consumer value into disruption management for vehicle routing problem. Examined the logistics distribution VRP with backhauls, set up a two-way vehicle scheduling model based on mileage and the number of consumers, and solved the model with the particle swarm optimization (PSO), coupling hill-climbing algorithm.
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