Resource Allocation Design using Multi-objective Particle Swarm Optimization for Service Improvement

Abstract

In service design, the quality of service content is very important for the customer service value. However, the content cannot be designed to be a certain value because the providers have limited time and monetary resources to improve the content quality. In this study, we propose a method of multi-objective optimization for balancing of the resources and the customer satisfaction using particle swarm optimization. In addition, we verify the proposed method with a zoo service.