An Allocation of Insurance Surveyors Based on a Covering of the Number of Accidents: A Case Study of an Insurance Company in Nakhon Ratchasima

Abstract

In this paper, an integer programming model is presented to determine the optimal number of surveyors in a case study of an Insurance Company in Nakhon Ratchasima. The proposed model has applied the principle of the set covering problem by considering the coverage of the number of accidents and the length of time to travel to the accident scene that surveyors can travel within the customer satisfied. When testing the proposed model with an insurance company's data, the results show that the optimal number of surveyors is 15, and surveyors can travel to the accident scene in 42 minutes, which can reach about 81.82 percent of all cases. If the company requires surveyors to travel to the scene within 30 minutes, it can reach 36.36 percent of all cases. By the results, insurance companies can use the proposed integer programming model to determine the allocation of surveys to cover the number of accidents, which will enhance customer satisfaction.