connected supply chains – constantly
monitoring product usage and experience, and tailoring the offering to suit.
Sectors as diverse as construction vehicles and healthcare are leading the way,
and others will soon follow.
7. Extended supply chain (near) real-time
monitoring: While scenario 4 above fo-
cuses on flexible digital factory schedul-
ing, there is a wider opportunity relat-
ing to the complete, end-to-end supply
chain. This involves looking one level
higher at the total network, using data
science, predictive analytics, real-time
risk management, and dynamic re-
source optimization – enabled by dis-
tributed sensors and track-and-trace to
create visualization ‘watch towers’, op-
timize integration, predict disruptions,
and support dynamic decision making.
8. Digital product quality: The vision for
TQM in the digital context involves end-to-end transparency, real-time root cause
analytics and proactive resolution driven
by customer connectivity. The challenge
is to connect a series of ‘traceability islands’ back from customers, across internal operations networks, right through
to suppliers. The prize in terms of faster
problem resolution, problem prevention,
customer satisfaction, performance,
compliance verification, and avoided
warranties, is potentially very large.
9. Digital supply network design: Scenario
10 Future Digital Supply Chain Scenarios
Source: IFM Center for International Manufacturing, University of Cambridge