Lean manufacturing has been embraced for over 30 years by the most competitive companies as an essential component of manufacturing excellence.
The drive to remove waste has streamlined operations, eliminated idle inventory and helped to achieve continuous process improvement ... each now an accepted element of Lean manufacturing and Six Sigma initiatives.
nSight's operational intelligence solutions uniquely offer a unified approach that spans the enterprise and extended supply chain. This allows you to streamline not only your local plant floor processes, but all associated processes and material flows beyond the plant and across your enterprise.
You are no longer constrained by applying manual processes to analyze processes. Electronic signals can be used to expand CI programs, enabling you to see, manage and optimize how materials flow through your value chain, adding new efficiency to your Plan-Do-Check-Act cycle across production and supply chain processes.
Our solutions can positively impact schedule attainment, quality, equipment utilization and other factors, giving you the ability to manage Lean manufacturing and Lean inventory for a Lean Material Flow across all operations.
nSight's solutions enable Lean initiatives that contribute to improved manufacturing efficiency and excellence by:
- Eliminating waste, cutting process complexity and reducing business process cycle-times as new processes are embraced
- Modeling and abstracting business processes through an easy to use interface to visualize updates for operations execution at the level of detail required to eliminate potential waste
- Providing deep and broad histories of process data, allowing Lean "Kaizen" teams to quickly locate waste for continuous improvement of your processes
- Identifying the location of best-practice processes, which can then be deployed consistently to any plant
- Extending the power of Lean concepts "beyond the plant's four walls" by providing economical and flexible data collection, strict identification of process control issues, rigorous reporting.