2022 年 59 巻 4 号 p. 182-186
Owing to the advancement in digitization, combinatorial optimization technology that extracts the optimum solution from a large number of options, such as production planning, staffing, and logistic optimization, has garnered attention. In this study, we describe a software developed using an annealing method and present the results of performance evaluation. Furthermore, we introduce an example of its application to production scheduling in a printing factory.