CHALLENGE
With manufacturing sites across Europe, it was no surprise to learn that Coca-Cola Enterprises (CCE, now CCEP) had many different systems being employed to manage plant performance and that they were achieving mixed results. The systems varied from manual to fully automated data capture.
The business wanted a single, cutting-edge solution across all their facilities to standardise the system and the approach through which site teams were reviewing performance and driving effective actions to improve plant productivity.
CCE chose the LineView™ system as the standard production line monitoring system for their Supply Chain Division. Over a three-year period, LineView™ has been implemented on every production line in Europe to help increase efficiency and reduce manufacturing costs.
SOLUTION
After a 12-month benchmarking process, LineView™ was chosen as the clear system of choice.
Developed from an operational perspective, LineView™ presents performance information in a format that helps line teams instantly and accurately identify the critical area of focus. Applying 6-Loss Analysis and Theory of Constraints principles, LineView™ identifies the effect of all downtime on the overall line output without the need for any operator intervention, and accurately pinpoints the true cause of productivity loss. The visual user interface presents actionable information in an easy-to-read format, enabling rapid decision making and allowing production teams to focus their efforts on taking effective action rather than spending time analysing and interpreting the data.
Applying 6-Loss Analysis and Theory of Constraints principles, LineView™ identifies the effect of all downtime on the overall line
output without the need for any operator intervention, and accurately pinpoints the true cause of productivity loss.
As part of a three-year development project, LineView™ Solutions have been working with Coca-Cola Enterprises to further enhance the functionality of the system to meet the new challenges of the business as they hit ever-higher levels of performance, including defining the rigour and routines around use-of-data that has driven on-going, sustainable performance improvement.
