COVID 19
Rapid Restart Program for NZ Manufacturing
The Rapid Restart Program is based upon Toyota’s Jishuken approach to underperforming processes. (Jishuken, unlike Lean & CI is an activity, not a culture). Management lead with our expert support. Rapid in achieving massive productivity increase in a short period of time.
For many, it will be the tool to use now.
Step 01.
Diagnose the problem – 2 days
Step 02.
Design the solutions – 3 days
Step 03.
Implement rapid change – 5 days
Trebling of productivity in 2 weeks – we’ve done it.
“
Through the Rapid Jishuken activity we were able to re-engineer our processes to produce 300% of our previous maximum capacity within 2 weeks.
”
Chris Patient,
Group Logistics, Manufacturing and Supply Chain Manager,
Tait Communications
Different funding options available
Please enquire for details
Ready to begin your rapid restart? Register your interest below:
e. enquiries@lmac.co.nz
p. 0800 112 251 (+64 3 443 9424 Int’l)
m. 021 2468 529 (+64 21 2468 529 Int’l)
e. enquiries@lmac.co.nz
p. 0800 439 424 (+64 3 443 9424 Int’l)
m. 021 2400 212 (+64 21 240 0212 Int’l)
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
Flexibility
Speed
Quality
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.