The efficiency management capability within Plant Applications measures and analyzes parameters of efficiency and the degree of use of production resources—tools, machines, and people. Targets are set in production plans on how many thousands of bottles should be filled during an hour and over the entire eight-hour shift. In the event of the targets not being met, the efficiency management capability shows the reason for the lower productivity of the line.
Using analysis of micro-stoppages and breakdowns on production lines, the module reveals if the problem was caused by planned stoppages, machine breakdowns or defects in containers or caps. It could also be caused by a given personnel’s inefficient handling of the line or slow reaction to machine jams or stoppages, or that certain label types cause the machines to jam more frequently.
Efficiency management’s ongoing monitoring of the production line enables up to date verification of whether a shift of employees have met their target, if the realization of the monthly pans are on track, and if any of the parameters are threatened.
At the beginning of the implementation process, technical infrastructure was installed and configured. Connections were made to interfaces at automation controllers on production lines, mainly the necessary devices for data collection. The data comes from sensors on the bottling line machines. It is recorded by GE Vernova’s Proficy Historian data collectors in real-time. The next stage of the implementation was the configuration and analysis of the data in Historian.
The bottling lines include a range of machines used, for example, for washing bottles, verifying their cleanliness, pasteurization, filling, verification of the amount of beer poured into each bottle, capping, labeling, and unpacking and packing of crates. A key task was modeling all these machines together with a description of every state they could be in. A corresponding electrical signal in Proficy Historian was linked to each such description (stoppage, shortage, lowering/ raising of forklift, etc.). Using this information, the software can determine if a machine has stopped, released a faulty product, performed its operation incorrectly, or transferred to another machine a set number of items.
“The biggest challenge was to link the new Manufacturing Execution Systems (MES) to the original control system on the bottling line and this aim was fully achieved,” added Żyrek. “We wanted an application that would be able to pinpoint the culprit machine from amongst a series of machines stopped at the same time. It was also important for us to enable operators to comment on given breakdowns and add planned stoppages—such as breaks, refittings, and overhauls.”
In order to meet the client’s expectations, Bonair altered the concept during the implementation phase and created an additional application enabling machine operators to add more data on production line events. When stoppages occur now, operators can choose the appropriate reason from a list shown on the operator’s touch-screen panel.
“Despite all these modifications, Bonair was still able to meet all the objectives and carried out the full implementation within the specified time,” emphasised Żyrek