Combinatorial Optimization Solver Using Annealing Method and Application to Automatic Production Scheduling in Printing Factory

Abstract

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.