Case Studies....why do our programs work?
How? By measuring the KPI's that matter, taking timely corrective action based on the data, and measuring compliance to our control plans daily, we ensure your non-core processes stay in control. We then use the data to identify and drive sustainable Continuous Improvement. Check out some of the stories below that highlight where condition based management has resulted in significant and sustainable total process cost reduction.
Part 1 - A story about an Engineering manager that was looking to move from a reactive culture to a condition based, data driven culture.
Part 2 - How a defined system of implementation can help erase tribal knowledge and move to a KPI driven management strategy to drive improvement.
In this case study, we look at how process variability can impact cost. Variability was built into the infra structure used to deliver coolant to the factory floor. It had been this way for 20 years. Using data to deliver the results we were after, this significant source of variability was 1st identified, then resolved and then validated to ensure its no longer the source of waste and wasteful activity.
Not all products are created equal, and price is not always the right indicator of quality. In this case study, we used our Independent Fluid Evaluation Process to identify a product that would let this facility run longer between clean-outs and run at a lower concentration reducing charging costs and the continual top-up required to maintain target concentrations in a machining environment.
This is an excellent example of how improving the control of the KPI's that impact cost and performance can translate directly into reduced fluid consumption and lower waste generation. This case study shows a dramatic reduction in fluid usage by improving the controls around the concentration management process.
For years this company relied on the operators to determine when their fluids were no longer suitable for continued use. this led to significant waste and hurt their OEE. Moving to a data driven program, their cost per part manufactured dropped in half, increasing up time, and significantly reducing the volume of waste produced.