Predictive Prevention in HR Management
Harnessing the Internet of Things and Social Media to optimize Staff Scheduling
Predictive Prevention - what's it all about?
In the manufacturing sector, it takes a great deal of time and effort to reduce or completely avoid the risks associated with machine breakdowns and the potential resulting costs. This approach, known as predictive maintenance, is one of the key innovations of Industry 4.0. Its main objective is to deduce certain information and thereby draw conclusions based on various (realtime) data to facilitate early or just-in-time maintenance.
What applies to, and is good for, plant and machinery maintenance should also be implemented as a precaution for company staff, and scheduling of such staff. Ultimately, employees are a company's greatest asset. The procedures underlying predictive maintenance can also be used equally well in HR management where key duties undertaken include workforce planning in relation to employees with suitable qualifications as well as staff scheduling in terms of their working hours and locations. The same also applies here, namely to predict or identify a "breakdown" of resources early on, and to take appropriate preventive action - this is predictive prevention!