Investigation of Alternative Attendants Selection Methods Using Multi-Agent Simulation

Abstract

Shift scheduling has been studied in various fields for many years, but little consideration has been given to absence which occurs after determining shift. Recent years, research on shift rerostering has been carried out, but most of them tries to correct shift with minimum cost. While alternative attendants selection requires an enormous amount of labor, this operation hasn't been taken into account. In this research, we make an agent-based simulation environment, then investigate alternative attendants selection methods on some easy cases.