L’approche Inspirage par les exemples industriels

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


COUNTRIES41Worked and deployed teams worldwide in 2017

HQ: SEATTLE

INDIA

NETHERLANDS

IRELAND

UNITED KINGDOM

MALAYSIA

SWITZERLAND

ISRAEL

FRANCE

GERMANY

DUBAI

CHINA


INDUSTRY KNOWLEDGE

6

INDUSTRIALMANUFACTURING

HIGH TECH SERVICESCONSUMER PRODUCTSAND RETAIL

LIFE SCIENCES


450+

CUSTOMERSLARGE, MEDIUM,

SMALL

WELL ENGAGED IN THE DIGITAL

TRANSFORMATION

7 © 2006 - 2017 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


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


Application

▪ Configure

Dashboard

▪ Create Assets &

Rules

▪ Unit Testing

▪ Migrate Custom

Components

▪ Integration Testing

▪ CRP

Activities:

▪ Register Device

▪ Define Device

Model

▪ Define Business

Alerts


Application

▪ Configure

Dashboard

▪ Create Assets &

Rules

▪ Unit Testing

▪ Migrate Custom

Components


▪ 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:


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


Process Flows

PRE-BUILT IoT ASSETS


Process Flows

Configuration

Handbook



Process Flows

Configuration

Handbook

Integrations



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


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


• Sensor Type :

• Technology :

Weight, SKU and Position

IoT Sensor (Load Sensor),

GSM Sensor and RFID

IoT, SCM Cloud, Mobility,

RFID


• 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


18

REGISTER THE DEVICE IN SIMULATOR

MATERIAL TRACKING – WEIGHT BASED AUTO PICKING AND RECEIPT

18


19

MONITOR DASHBOARD AND ALERT


19


20

INTEGRATE IOT WITH EXTERNAL SYSTEM


20


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


CONNECTED FREIGHT

22


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?



ASSETMONITORING

25


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



• 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


USE CASE FOR PORT



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


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


PRODUCTION MONITORING

29


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.


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


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.


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


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


TO MONITOR AND IMPROVE OEE

Clear view on

Overall

Equipment

Efficiency, both

current and

historical


AND GAIN INSIGHT ON PROBABLE FUTURE BEHAVIOUR

Predict the future

state of

equipment,

identify anomalies

in machine

performance and

its effect on

production.


CONCLUSION

37


Connected Assets CRP UAT Deploy

Activities:

▪ Functional Design &

Solution Blueprint

▪ Data Finalization


Document

preparation

Activities:

▪ Register Device

▪ Define Device Model

and Attributes

▪ Define Business

Alerts


Application

▪ Configure Dashboard

▪ Create Assets and

Configure Rules

▪ Technical Design

Document

preparation

▪ Unit Testing

Activities:

▪ Register Device

▪ Define Device

Model

▪ Define Business

Alerts


Application

▪ Configure

Dashboard

▪ Create Assets &

Rules

▪ Unit Testing

▪ Migrate Custom

Components


▪ CRP

Activities:

▪ Register Device

▪ Define Device

Model

▪ Define Business

Alerts


Application

▪ Configure

Dashboard

▪ Create Assets &

Rules

▪ Unit Testing

▪ Migrate Custom

Components


▪ 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:


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


THANK YOU

Documents

L’approche Inspirage par les exemples industriels