Real-Time Control and Optimization of Internal Logistics Systems with Collaborative Robots

This study explores the benefits and challenges of using robotic process automation (RPA) and collaborative robots (CoBot) in transport management. The combination of RPA and CoBot can streamline processes, minimize errors, and boost productivity. However, the implementation of such technology comes with challenges and costs [1].This study aims to provide valuable insights into the role of RPA and CoBot in transport management, adding to the growing body of research on the use of automation in logistics and supply chain management [2]. Our analysis indicates that RPA and CoBot can revolutionize transport management, but their implementation requires careful consideration of factors such as security and investment. The study fills a gap in the literature by providing an in-depth examination of the benefits and challenges of using RPA and CoBot in transport management, offering practical recommendations for organizations considering implementing such technology.