Frank Phillips

Senior Consultant Advanced Manufacturing

Bio

With several years of engineering experience within advanced manufacturing environments, Frank works alongside our deep tech partners to deliver solutions to New Zealand organisations that are appropriate to their business needs. His focus is upon fixing problems with simple solutions that give the business a tangible bottom line benefit. “the trick with technology is to make sure it’s in harmony with an organisation’s needs and capabilities, and not just technology for the sake of it”. Frank’s experience with Industry 4.0 began at Rolls Royce Aerospace, where he led a team of 15 engineers using sensors and application techniques on operational test engines, with the goal of optimising digital twins to assess performance and degradation of components. Following a move to BMW, he then worked on automating data collection allowing for variables such as thermal expansion and intelligent machine learning to optimise final product dimensional quality. These experiences build on a solid foundation in traditional operational best practice and continuous improvement, which allows Frank to identify where technology or traditional solutions will complement business requirements best. His experiences have led him to be one of the first certified Smart Industry Readiness Index (SIRI) Assessors – the internationally recognised benchmark for Industry 4.0 maturity and planning.
INDUSTRY PROGRAMME EXPERIENCE
• Aerospace
• Automotive
• SME Manufacturing
• Oil & Gas
• FMCG
• Transactional
• Food processing
EXPERTISE
• Visual & Short Interval Management
• Cross-functional communication
• Process analysis and design
• Leadership coaching
• Stock control and WIP management systems
• Health and Safety

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:

Productivity

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

Flexibility

  • Planning & scheduling effectiveness
  • Production flexibility
  • Workforce flexibility

Speed

  • Time to market
  • Time to delivery

Quality

  • 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.