BIML-03 - TMCnet · Service Event Management Sales Order Mgmt. ... B2B Complex Machines 2,100 parts...
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© 2017 OnProcess Technology, Inc. All rights reserved. BIML-03
Transcript of BIML-03 - TMCnet · Service Event Management Sales Order Mgmt. ... B2B Complex Machines 2,100 parts...
© 2017 OnProcess Technology, Inc. All rights reserved.
BIML-03
© 2017 OnProcess Technology, Inc. All rights reserved.
Dan GettensChief Analytics OfficerOnProcess Technology, Inc.
(508) 520-2711, x1115
© 2017 OnProcess Technology, Inc. All rights reserved.
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Revenue RecognitionRevenue AssuranceContract Service Sale
Triage Service Order Mgmt.Service Event Asset Mgmt.Resolved Issue w/Minimal
Customer Effort
Sales Order Management
Service Event Management
Sales Order Mgmt.
Post-Sales Order Management and Customer Experience Transformation
Post-Sales Lifecycle
© 2017 OnProcess Technology, Inc. All rights reserved.
The networking of devices, vehicles and buildings with embedded sensors and software that allows
capturing and exchanging data to achieve business outcomes and an enhanced end customer
experience
An Expanded Definition of IoT
© 2017 OnProcess Technology, Inc. All rights reserved.
Service parts inventory to support
parts dispatch
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Transportation order management
to support parts dispatch
Inbound service queue / triage
Remorse returns / no trouble found
Reverse logistics
© 2017 OnProcess Technology, Inc. All rights reserved.
5 Post-Sale Supply Chain Opportunities
© 2017 OnProcess Technology, Inc. All rights reserved.
IoT Examples: Understanding the Process / Network
B2BComplex Machines
2,100 parts$75,000
6 sensorsB2C
End Customer
Client
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Machine Test Data
Machine Dispatch Data
Machine Test Data
Outcome Events (Failures)
Analytics Can Transform This…
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Days of InventoryR
esu
lts:
Fai
lure
Rat
esInto This…
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Transform data into probabilities (machine failures)
Translate probabilities into actions
Translate actions into business outcomes
Transform business outcomes into economic value
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IoT Data to Cash Cycle
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Transform data into probabilities (machine failures)
Translate probabilities into actions
Translate actions into business outcomes
Transform business outcomes into economic value
Predictive Analytics
VOC
Causal-EffectAnalytics
Causal-EffectAnalytics
IoT Data to Cash Cycle
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Inputs• Demand
• Install Base
• Machine Failure
• Machine Signals
• Level of Service
• Cost
• Lead time
• Review Period
Outputs
• Holding Cost
• Ordering Cost
• Purchasing Cost
• Total System Cost
• Safety Stock
• Re-Order Point
• Item Fill Rate
Time Series Forecasting
Installed Base
Predictive Voice of the Machine
Models
IoT Example: Service Parts Inventory
© 2017 OnProcess Technology, Inc. All rights reserved.
IoT Example: Service Parts Inventory
S-Level (Time Series)
S-Level (Time Series Plus Trend)
S-Level (Time Series Plus Voice of Machine)
© 2017 OnProcess Technology, Inc. All rights reserved.
Traditional vs. Innovative Approach
Traditional Approach
Ad hoc IoTdata
collection
Time-series based
algorithm
Static stock up
inventory levels
Rules of thumb
Innovative Approach
IoT data collection
Algorithm, demand signal & machine
data
Dynamic, responsive inventory
levels
Rigorous business
rules
