Digital twins are becoming increasingly popular in industry and are being used in various areas, such as production planning and control. Logistics performance still needs to be improved, especially in highly complex and automated production processes such as optoelectronics. The significant challenges faced by industrial companies today, such as stricter quality standards, smaller quantities and shorter product life cycles, exacerbate this phenomenon. In this context, digital twins offer a point of reference for improvement by providing an additional database that can be used to make more informed decisions in realtime. The novel contribution of this paper is the design of a simulation as a digital twin in the context of optoelectronic production. It is used to simulate a variety of backlog scenarios in production planning and to provide an additional source of data for backlog control. We also present an application example of how the digital twin can reduce backlogs in the production process. The simulation indicates that the designed model can effectively support the improvement of logistics performance by addressing the significant challenges in modern production
