Forbes estimates the cost of downtime alone is over $50 billion each year for industrial manufacturers. This is more than substantial and can often be the difference between a company making or losing money. The article points toward predictive maintenance gaining prominence to significantly reduce downtime, to learn faster and predict failures long before stoppages can ever happen.
A common misconception when it comes to Digital Transformation and Industry 4.0 is that with the rapid adoption of the technology gamut associated with them, the manufacturing operation would, as a step change, transform into a fully automated endeavor, orchestrated almost entirely by autonomous AI applications, self-optimizing and self-driven.
“To win in the marketplace you must first win in the workplace.” Doug Conant
Every organization needs qualified, capable, dedicated, loyal, and hardworking employees to deliver the best possible product or service and keep their customers satisfied. Manufacturing companies rely on their workers for not only delivering the required products per specifications but over the years for improving the very processes that create the products the company sells. The frontline workforce plays a major role in the creation of institutional know-how and shaping the way things are done in a given organization, plant, and process, right down to individual tasks which comprise an activity.
Digitizing tasks and activities for frontline workers, while providing real-time operational visibility and driving process optimization and improvement, across all areas of business operations.
