Nigel Reaney

Founder and Director


As a graduate Engineer Nigel joined Toyota Motor Manufacturing for what became a 13-year training and development period in The Toyota Production System, Toyota Kata and ultimate man/machine productivity. Since founding and growing LMAC Consulting in New Zealand, China and the UK, Nigel has recently handed over operations to his business partners to allow him to concentrate entirely upon Industry 4.0 research and development. Nigel has a passion for returning manufacturing to our shores in a sustainable way, utilising technology and people to increase productivity rather than relying upon cheap labour from nations with dubious intentions.

Complete the questions below to test your data maturity.

Over the next two years, which three of the 14 key performance indicators do you most want to improve on as a business?

Make a note of these before you carry on reading.

The key 14 performance indicator categories:


  • Asset & equipment efficiency
  • Inventory efficiency
  • Materials efficiency
  • Utilities efficiency
  • Workforce efficiency


  • Planning & scheduling effectiveness
  • Production flexibility
  • Workforce flexibility


  • Time to market
  • Time to delivery


  • Product quality
  • Process quality
  • Safety
  • Security

Now ask yourself – what is your current performance against these three KPIs? Can you tell me how you performed in the last hour, yesterday or last week?

If you can’t answer this question for all three because you aren’t measuring the data, then the next step is clear. Figure out what data you need to enable you to measure it, and decide how you are going to collect that data.

If you can answer it historically; last week or last month – ask yourself, is this retrospective view sufficient for me to really make improvements?

If you can answer it for all three up to the minute, then it is quite possible that shopfloor intelligence isn’t a number one priority for you. Look out for parts 2 and 3 of this blog series for some more insights into how you can make the data work for you.