From advanced machining to lean continuous improvement, the OPTIS blog provides the insights you need to think like the machine.

Lean Forward: Continuous Improvement for Future Fit Factories

Lean manufacturing principles have been around a long time. They’ve not only been around, they’ve been successful. So it’s concerning to see that some think Lean is outdated. How can it be? Surely resource optimization and ROI maximization will never go out of style. We’re in an era of expanding opportunity, so focus has to be on affording the time and technology to realize those ‘first’ ambitions.  The stakes are high and it’s often hidden opportunities that hold the most potential.  Re-evaluating a company’s Lean status may uncover previously unexplored threads that could make the competitive difference. Lean principles helped Read more…

Point of cut

Does the IIoT need a reality check?

Industry Week’s recent research paper, ‘2016 Reality Check: Transforming industrial Businesses with the IIoT’ found that 82% feel the adoption of IIoT technology will be critical to the future success of their business. But only a quarter have a clear IIoT strategy. This is reflective of exactly what we are finding: many talk the talk on IIoT, understand its importance and want to harness its benefits – but don’t actually know where to start. On the bright side: the survey found that companies headquartered in North America are more likely to have an IIoT strategy than those headquartered elsewhere, so Read more…

Seeing the invisible: mitigating hidden risks

Too often, risks are hidden from view and only identified once product quality starts to suffer. This is already too late, incurring unnecessary scrap and expense. At OPTIS, we often say you can only improve on what you can measure – and you can only measure what you give yourself a chance to see! Often the biggest challenges to quality are obscured within processes and only become apparent in what would be the final part. A key challenge, then, is to ensure full and clear sight of operations. Machine utilization data is critical, at a microscopic level, to determine where Read more…