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Copyright © 2017, Oracle and/or its affiliates. All rights reserved.
L’approche Inspiragepar les exemples industriels
Denis SENPERE / Luc GIROUARD
Annecy, le 4 décembre 2018
1
© Copyright 2007-2016 Inspirage. All rights reserved.2
Integrate Information | Accelerate Innovation | Deliver Operational Excellence
SUPPLY CHAIN
MANAGEMENT
ERP &
FINANCIALS
PRODUCT
LIFECYCLE
MANAGEMENT
LOGISTICS
MANAGEMENT
THE DIGITAL & INTEGRATED SUPPLY CHAIN SPECIALISTS
© Copyright 2007-2016 Inspirage. All rights reserved.
Leaders with background
Strong Oracle experience
Healthy company structure
10 years implementation experience
BEST PEOPLE
IN THE BUSINESS
Low turnover rate
Over 550 employees
Global presence
© Copyright 2007-2016 Inspirage. All rights reserved.5
COUNTRIES41Worked and deployed teams worldwide in 2017
HQ: SEATTLE
INDIA
NETHERLANDS
IRELAND
UNITED KINGDOM
MALAYSIA
SWITZERLAND
ISRAEL
FRANCE
GERMANY
DUBAI
CHINA
© Copyright 2007-2016 Inspirage. All rights reserved.
INDUSTRY KNOWLEDGE
6
INDUSTRIALMANUFACTURING
HIGH TECH SERVICESCONSUMER PRODUCTSAND RETAIL
LIFE SCIENCES
© Copyright 2007-2016 Inspirage. All rights reserved.
450+
CUSTOMERSLARGE, MEDIUM,
SMALL
WELL ENGAGED IN THE DIGITAL
TRANSFORMATION
7 © 2006 - 2017 Inspirage . All rights reserved
© Copyright 2007-2016 Inspirage. All rights reserved.
Consultants
certified and
trained
500+Longest-serving
Oracle Cloud SCM
co-development
partner
1st
© Copyright 2007-2016 Inspirage. All rights reserved.© Copyright 2007-2016 Inspirage. All rights reserved.
INTERNET OF THINGS
9
CONNECTED WAREHOUSE, FREIGHT, FACTORY & ASSETS
© Copyright 2007-2016 Inspirage. All rights reserved.Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Connect Analyze Integrate
10
Internet of Things Cloud
Enterprise (Platform)Learn
Connected Worker
Enhance worker safety through monitoring of workers and environment
Monitor shipments, fleet vehicles, driver behavior and costs
Manufacturing equipment & production line monitoring & prognostics
Production Monitoring
Monitor assets, their health, utilization & availability
AssetMonitoring
Service Monitoring for Connected Assets
Automate asset monitoring and customer service to enhance customer experience
FleetMonitoring
ORACLE IoT STANDARD APPLICATIONS
© Copyright 2007-2016 Inspirage. All rights reserved.
Connected Assets CRP UAT Deploy
Activities:
▪ Functional Design &
Solution Blueprint
▪ Data Finalization
▪ Functional Design
Document
preparation
Activities:
▪ Register Device
▪ Define Device Model
and Attributes
▪ Define Business
Alerts
▪ Configure IoT AM
Application
▪ Configure Dashboard
▪ Create Assets and
Configure Rules
▪ Technical Design
Document
preparation
▪ Unit Testing
Activities:
▪ Register Device
▪ Define Device
Model
▪ Define Business
Alerts
▪ Configure IoT AM
Application
▪ Configure
Dashboard
▪ Create Assets &
Rules
▪ Unit Testing
▪ Migrate Custom
Components
▪ Integration Testing
▪ CRP
Activities:
▪ Register Device
▪ Define Device
Model
▪ Define Business
Alerts
▪ Configure IoT AM
Application
▪ Configure
Dashboard
▪ Create Assets &
Rules
▪ Unit Testing
▪ Migrate Custom
Components
▪ Integration Testing
▪ UAT
Activities:
▪ Migrate Custom
Components
▪ Production
Cutover
▪ Go-Live & Support
Deliverables:
▪ BR100
▪ Tech Design
Document
▪ Test Cases
▪ Deployment Handbook
Deliverables:
▪ BR100 revision
▪ Test Script
▪ Deployment
Handbook
Deliverables:
▪ BR100 revision
▪ Test Script
▪ User Training
Deliverables:
▪ Best Practices
Deliverables:
▪ Functional Design
Document
Activities:
▪ Customer discovery
workshops (use
cases, devices,
control parameters,
IT landscape…)
▪ Readiness
Assessment
▪ Basic Test on
Device Connectivity
Deliverables:
▪ Devices connected
to the IoT CS layer
▪ Device Data
transmission
compatibility to the
IoT CS layer
Device OrchestrationDiscovery
2 3 4 5 61
11
IoT RAPID IMPLEMENTATION METHODOLOGY
© Copyright 2007-2016 Inspirage. All rights reserved.12
Process Flows
PRE-BUILT IoT ASSETS
© Copyright 2007-2016 Inspirage. All rights reserved.13
Process Flows
Configuration
Handbook
PRE-BUILT IoT ASSETS
© Copyright 2007-2016 Inspirage. All rights reserved.14
Process Flows
Configuration
Handbook
Integrations
PRE-BUILT IoT ASSETS
© Copyright 2007-2016 Inspirage. All rights reserved.© Copyright 2007-2016 Inspirage. All rights reserved.
CONNECTED WAREHOUSE
15
© Copyright 2007-2016 Inspirage. All rights reserved.© 2006 - 2017 Inspirage . All rights reserved
• FLOW Logistics was created in 2014 to serve logistics needs for IKEA
products in Middle East
• Delivery and assembly fleet of 120 vehicles
Own warehouse operations of 25,000 m2
Staff 650 / 19 nationalities
• Business model moving to comprehensive home delivery and
assembly services
• Two new modern dedicated customer order and e-Commerce fulfillment
centers just added to deliver 6,000 customer orders per day in two shifts
• Modern IT infrastructure and solutions mandatory to support this
business transformation
FROM CORE LOGISTICS….
… TO SMART SUPPLY CHAIN SERVICES
© Copyright 2007-2016 Inspirage. All rights reserved.
AUTOMATED MATERIAL MOVEMENT WITH IN-PLANT TRACEABILITY
17
Storage Location-1 Storage Location-2
RFID reader
+ GSM Sensor
Material Movement
Dashboard on IoT Platform
RFID Tag
IoT sensor
(Load Sensor)Load Sensor + RFID reader
• Auto-identify Material Picking and
Picker
• Auto-calculate Units Picked
• Notify Stakeholders
• Auto-validate Material & Quantity
• Automated System Record
• Exception Management
• In-Transit Material display on the Dashboard
• Auto-identify Put away
• Auto-validate Material & Quantity
• Automated System Record
• Exception Management & Notify Stakeholders
• Parameter Monitored :
• Sensor Type :
• Technology :
Weight and SKU
IoT Sensor (Load
Sensor) and RFID
IoT, SCM Cloud,
Mobility, RFID
• Parameter Monitored :
• Sensor Type :
• Technology :
Weight, SKU and Position
IoT Sensor (Load Sensor),
GSM Sensor and RFID
IoT, SCM Cloud, Mobility,
RFID
• Parameter Monitored :
• Sensor Type :
• Technology :
Weight and SKU
IoT Sensor (Load
Sensor) and RFID
IoT, SCM Cloud, Mobility,
RFID
1 2 3 4 5
WHA
T
HOW
Put AwayTransferPicking
Mobile Apps
RFID reader
IoT sensor
(Load Sensor)
1 52 3 4
© Copyright 2007-2016 Inspirage. All rights reserved.
18
REGISTER THE DEVICE IN SIMULATOR
MATERIAL TRACKING – WEIGHT BASED AUTO PICKING AND RECEIPT
18
© Copyright 2007-2016 Inspirage. All rights reserved.
19
MONITOR DASHBOARD AND ALERT
MATERIAL TRACKING – WEIGHT BASED AUTO PICKING AND RECEIPT
19
© Copyright 2007-2016 Inspirage. All rights reserved.
20
INTEGRATE IOT WITH EXTERNAL SYSTEM
MATERIAL TRACKING – WEIGHT BASED AUTO PICKING AND RECEIPT
20
© Copyright 2007-2016 Inspirage. All rights reserved.
SOLUTION VALUE PROPOSITIONSmart Production with Automated Material Transfer and Improved In-Plant Traceability
60%-
70% Reduction in Data Entry Time20%-
30%Reduction in Labor Cost
The 2015 MHI Annual Industry Report by Deloitte and MHI2
2
http://www.assemblymag.com/articles/92976-ensuring-traceability-in-electronics-assembly1
1
Real-Time System
of Records
1. Real-Time Information of
Critical High Value Items
2. Minimal Manual entry
of data from Job Card –
Effort Reduction
Proactive Exception
Handling
1. Picking Wrong Item:
Auto Alert
2. Picking Wrong Quantity:
Auto Alert
3. Material moved out of
Handler Bin : Auto Alert
with Location identification
in the Process Exception
Dashboard
Real-Time in-Plant Tracking
of Critical Items
1. Material Movement
Dashboard
2. No “Misplaced” items
leading to “Lost Inventory”
3. Higher Inventory accuracy
leading to improved
Fulfillment rates
Intelligent System
Guided Controls
1. Material delivered to
Incorrect Work Center:
Auto Alert
2. Minimizes multiple
Picker trips for the same
Material against a Job
(Incorrect Item, Qty.)
Control Towers To
Manage Operations
1. Minimizes Picker Route
Deviation
2. Picker Efficiency Data
which can be linked to
Compensation Benefits
For a large logistics organizations
6 minutes of staff time per pallet150,000 pallets for In-Plant movement 2 Man-Years of labor savings
21
© Copyright 2007-2016 Inspirage. All rights reserved.© Copyright 2007-2016 Inspirage. All rights reserved.
CONNECTED FREIGHT
22
© Copyright 2007-2016 Inspirage. All rights reserved.23
CONNECTED FLEET MONITORING
Geo Position
RouteSpeed
Gate Events
When will it
be delivered?
How Many
deliveries
pendingCan I plan next
trip / actions?
Where is my
Truck?
Distance to
Destination?
Was it
deviated
from the
plan?
Bu
sin
ess N
eed
sIn
form
ati
on
Need
ed
Shipment
Info
TrafficCargo
Condition
Is my cargo in
good and safe
condition?
© Copyright 2007-2016 Inspirage. All rights reserved.24
© Copyright 2007-2016 Inspirage. All rights reserved.© Copyright 2007-2016 Inspirage. All rights reserved.
ASSETMONITORING
25
© Copyright 2007-2016 Inspirage. All rights reserved.
ASSET MONITORING SOLUTION USE CASES SUMMARY
26
Asset Full: In-House
Asset Full: Remote
Asset Less: Monitor
Asset Less:
Maintenance
• Asset Health Monitoring
• Predictive Analytics
• Breakdown Maintenance
• Feedback to Product
Design
• Preventive Maintenance
• Collaboration with
Planning
• Geofencing
• Asset Health Monitoring
• Predictive Analytics
• Breakdown Maintenance
• Preventive Maintenance
• Equipment Sensor
• IoT Cloud Service
• IoT Asset Monitoring
EN
AB
LE
R
• Equipment Sensor
• IoT Cloud Service
• IoT Asset Management
• Maintenance CloudEN
AB
LE
R
• Visual Builder Cloud Service
ENABLERS
© Copyright 2007-2016 Inspirage. All rights reserved.
USE CASE FOR PORT
• Asset Health Monitoring
• Predictive Analytics
Asset Full : In-House
TOWER CRANEYARD TRUCK DUMPER TRUCK
ASSET HEALTH MONITORING PREDICTIVE ANALYTICS
• Heavy Duty Crane:
• Hydraulic Oil Pressure
• Lubricant Oil Temperature
• Oil Level
• Mid-Range Yard Truck:
• Engine Oil Temperature
• Average Engine Oil
Temperature
• Tire Pressure
• Location
Asset Parameters
27
© Copyright 2007-2016 Inspirage. All rights reserved.28
Sensor “X “ ?
Future needs
E
S
P
8
2
6
6
Microcontroller Converts
Binary Data to Digital
Rpi-3 unit: Collects the data and post
in Oracle cloud using Java API
Push Data
Data Acquisition
Data Storage and
Analysis
Data Transformation for
use in ERP /SCM/PLM
Automated Action
based on Data
received
Analytics Dashboard
Predictive Analytics
Incidents & AlertsIoT
Simulator
Temperature
Sensor
Pressure
Sensor
IoT LAB: HIGH LEVEL SOLUTION ARCHITECTURE
© Copyright 2007-2016 Inspirage. All rights reserved.© Copyright 2007-2016 Inspirage. All rights reserved.
PRODUCTION MONITORING
29
© Copyright 2007-2016 Inspirage. All rights reserved.30
PRODUCTION MONITORING - USE CASES
Objective Output
Monitor Plant/Production
line Overall Performance:
Shop Floor performance
Use Case
Real-time Shop Floor visibility on
Plant Operations and Production
Line output
Control Production Line
Performance
Machine Condition Monitoring
Detect Anomalies / out-of-range
from Live Stream data
Condition Monitoring of
Production Line to Diagnose
Production Anomalies across
Plants / Lines / Machines
Identify Root Cause of
Probable Production Lag
or Failure
Predictive Analytics on possible
failure of each Machine against
each critical parameter
Recommend Predictive and
Prescriptive Maintenance based
on Predictive Analytics on Plant
resources / machines etc.
© Copyright 2007-2016 Inspirage. All rights reserved.31
MONITORING PARAMETERS TO IMPROVE OEE
How do we organize a Pilot Project ?
• Identify Critical Machines in terms of Production Efficiency
• Monitor Key parameters like Machine On-Off, Downtime, What parts are they producing, etc.
• For the Pilot project, select 4 Critical machines
• Key parameter sensors connected to Oracle IoT applications
• Typical Team involved
• Manufacturing Engineers
• Assembly Line Engineers
• Quality Technicians
• IT Solution Engineers
• Maintenance Engineers
OEE (Overall Equipment Efficiency) = Availability * Performance * Quality
© Copyright 2007-2018 Inspirage. All rights reserved.32
REAL TIME OPERATIONAL VISIBILITY
Monitor real
time
performance
and derive
KPIs of
factory,
product and
machines.
Navigate using the
map view, and drillinto a specific
factory/plant
Oracle IoT
Production
Monitoring Cloud
generates current
view of factory
operations and
production line
output.
© Copyright 2007-2018 Inspirage. All rights reserved.33
DOWN TO FACTORY
Deep dive into
production lines, and
machines to gain
operational insights
Factory managers
can track machine
availability and view
the reported
percentage of
machines in use, idle,
and out of service
© Copyright 2007-2018 Inspirage. All rights reserved.
34
WITH CLEAR KPI
Clicking on a particular machine drills down to the machine level
Identify root cause
of sub-par
performance using
deep dive on
specific KPIs and
sensor data.
Identify anomalies
in machine
performance and
its effect on
production
© Copyright 2007-2018 Inspirage. All rights reserved.35
TO MONITOR AND IMPROVE OEE
Clear view on
Overall
Equipment
Efficiency, both
current and
historical
© Copyright 2007-2018 Inspirage. All rights reserved.36
AND GAIN INSIGHT ON PROBABLE FUTURE BEHAVIOUR
Predict the future
state of
equipment,
identify anomalies
in machine
performance and
its effect on
production.
© Copyright 2007-2016 Inspirage. All rights reserved.© Copyright 2007-2016 Inspirage. All rights reserved.
CONCLUSION
37
© Copyright 2007-2016 Inspirage. All rights reserved.
Connected Assets CRP UAT Deploy
Activities:
▪ Functional Design &
Solution Blueprint
▪ Data Finalization
▪ Functional Design
Document
preparation
Activities:
▪ Register Device
▪ Define Device Model
and Attributes
▪ Define Business
Alerts
▪ Configure IoT AM
Application
▪ Configure Dashboard
▪ Create Assets and
Configure Rules
▪ Technical Design
Document
preparation
▪ Unit Testing
Activities:
▪ Register Device
▪ Define Device
Model
▪ Define Business
Alerts
▪ Configure IoT AM
Application
▪ Configure
Dashboard
▪ Create Assets &
Rules
▪ Unit Testing
▪ Migrate Custom
Components
▪ Integration Testing
▪ CRP
Activities:
▪ Register Device
▪ Define Device
Model
▪ Define Business
Alerts
▪ Configure IoT AM
Application
▪ Configure
Dashboard
▪ Create Assets &
Rules
▪ Unit Testing
▪ Migrate Custom
Components
▪ Integration Testing
▪ UAT
Activities:
▪ Migrate Custom
Components
▪ Production
Cutover
▪ Go-Live & Support
Deliverables:
▪ BR100
▪ Tech Design
Document
▪ Test Cases
▪ Deployment Handbook
Deliverables:
▪ BR100 revision
▪ Test Script
▪ Deployment
Handbook
Deliverables:
▪ BR100 revision
▪ Test Script
▪ User Training
Deliverables:
▪ Best Practices
Deliverables:
▪ Functional Design
Document
Activities:
▪ Customer discovery
workshops (use
cases, devices,
control parameters,
IT landscape…)
▪ Readiness
Assessment
▪ Basic Test on
Device Connectivity
Deliverables:
▪ Devices connected
to the IoT CS layer
▪ Device Data
transmission
compatibility to the
IoT CS layer
Device OrchestrationDiscovery
2 3 4 5 61
38
IoT RAPID IMPLEMENTATION METHODOLOGY
© Copyright 2007-2016 Inspirage. All rights reserved.
THANK YOU
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