A: The path to digitization starts with moving all production information assets and production processes into digital form: sales orders, work preparation instructions, production orders, production schedules, unloading information for parts, packaging instructions for deliveries, etc. When done effectively, digitization leads to virtually paperless production with full transparency. Everyone involved in the production process has access to the real-time information needed to execute up-to-date tasks and provide feedback into the system. Elimination of outdated and lost work instructions increases efficiency and flexibility, reduces waste, eliminates tribal knowledge, and transforms into financial rewards that increase competitiveness.

One key component of digitization is paperless production. Machine operators, nesting engineers and other staff running production tickets through the factory is wasteful and limits agility in production. Another equally important component is the connected machine. Only when machines have the capability to cultivate and share relevant data and are a part of the digital environment, can the full benefits be leveraged. Digitization at the machine level starts with automatically transmitting the most up-to-date production orders to machines so operators always have the latest production plan. Moving further along the digital path offers real-time status of machines and the information about the progress of each and every production order. Furthermore, transparency of what happens on the shop floor provides the data necessary for continuous improvement of production processes and material flow. Key performance indicators (KPIs) are easily developed and tracked with access to appropriate data.

As an example, customers report production efficiency increases of over 10 percent by using Machine Insight, our real-time production monitoring and reporting system. This module increases transparency in the production process and spotlights waste to aid in continuous improvement. Problems become much easier to solve when you have the relevant data to see the full picture of your production environment.