logistics decision making: accuracy, confidence & speed to convert data & questions to...
TRANSCRIPT
World Codification Forum
Connecting Global Logistics Through Technology
24 - 25 May 2017
Steve Cannon
Deputy Director Logistics Information Stewardship
Materiel Logistics Disposals & Sales
Australian DoD
Logistics Decision Making: Accuracy, Confidence & Speed
Where is the Data
Requirement
• Right Item
• Right Quantity
• Right Place
• Right Time
Data Location
• Configuration
• Engineering & Maintenance
• User Planning
• User Scheduling
The causal data required to answer to these questions is often not found in our logistics systems all we can see are the effects (EG consumption)
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Data >> Planning >> Process >> Outcomes
Flowchart Alternate
When your only tool is a hammer, everything looks like a nail. Abraham Maslow
Decision Making
Rational • Analytical • Calculative • Statistical
Non - Rational • Perception • Judgement • Experience
Forecast System Recommendation = 5 Human Recommendation = 12 Actual over forecast period = 6 Q: Which was most accurate?
Combining Data and Cognition
Data triggers analytical response Visual triggers cognitive response
BRIDGE DATA SHEET
• Suspension bridge
• Constructed 1978
• Concrete cable anchor points
• Steel cables supporting suspended
wooden footway 1.2 metres wide
• Foot traffic only
• 163 metres long
• Maximum load 900 Kg
• Horizontal movement 1.5 metres
• Vertical movement 0.6 metres
Cognitive Interface
Machine centric
Triggers analytical response
Human centric
Triggers cognitive response
Human Centric User Interface
Its easy to make things more complex, its hard to make them simpler Richard Branson
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Data >> Planning >> Process >> Outcomes
Flowchart Alternate
Automatically extract data from ALL relevant sources
AI to convert data & questions to answers and present in a HUMAN CENTRIC way
AUTOMATE residual go-do steps
X X
X X X X
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Shift decision making from process driven to
• Data driven
Shift from manual searching for data to
• Automatically bring all relevant data to the end-user
Shift from purely rational representation of data to include
• Cognitive representation (computing with pictures)
Shift from domain specific decision making to
• Enterprise wide decision making
Madness is doing the same thing over and over again and expecting a different result. Albert Einstein
Speed, Confidence & Accuracy