We’ve been beating the industry 4.0 drum loudly to our clients for some time. And for good reason – we’ve seen first-hand how clients are benefiting from increased visibility, data probity and response time across utilities, transport, and smart manufacturing.
Given the manufacturing industry accounts for eighteen per cent of Australia’s energy consumption, it has the most to gain from implementing energy saving improvements.
Industrial operators widely recognize that preventative maintenance extends the life of assets, increases productivity, improves overall efficiency and reduces maintenance costs, with a significant margin on a run-to-failure maintenance approach..
There’s an overwhelming pile of advice out there on how industrial operators can reduce unplanned downtime and improve facility maintenance practices.
As a company that delivers control system and automation maintenance support across manufacturing, food and beverage, defence, utilities, infrastructure, transport and resources we see a lot. And an increasing trend we’re seeing is the amount of clients doing ‘run-to-failure’ maintenance.
In large scale operations or small workshop environments the right manufacturing maintenance KPIs can have enormous impact on operability and maintainability.
By now you should have clearly identified the process that needs improving, collected the data, and analysed it to come up with the root causes for the problem. Phase four of DMAIC: Improve, is where it gets fun.
Our previous blog outlined the first phase of the DMAIC (Define, Measure, Analyse, Improve, Control) process in Six Sigma: Define. In Define, you should have developed a problem statement, calculated the problem’s business impact and defined a goal.