In everyday life, a situation often occurs wherein two or more persons with different personal schedules must determine a single job schedule. The authors focus on the practical concept of rent and loan and propose a scheduling system. This system generates a schedule that automatically coordinates with a state involving minimum rent and loan. They also propose a method that employs the analytic network process (ANP) for setting individual priorities based on the rent and loan information. Furthermore, the authors implement the proposed system as a simulation system and verify whether it generates a fair schedule by computing the sum of the rent and loan of different individuals. The result shows that in comparison with human scheduling, the proposed method generates a fairer schedule by computing the rent and loan of each individual.