Читать книгу The Digital Transformation of Logistics - Группа авторов - Страница 50

Data from the sensors to trigger specific actions or decisions enable new business models. For example, if the measured data of the sensors deviate from the target level, a truck driver gets an alert that the condition of the products on the truck needs to be checked or actions like adjusting the cooling function must be taken. Another use case can be machine monitoring. Based on information provided by the sensors on a machine, the next maintenance can be scheduled with minimum impact on downtime. A machine could even automatically order necessary spare parts preventively or once it breaks down. To gain full advantage of these actions, the logistics systems have to be prepared to quickly facilitate the transport of these necessary spare parts. In connected systems, the signal from the machine will already trigger the picking in the warehouse, prepare the necessary transport devices, and synchronize the material flow with the availability of the service technician.