The Industrial Value Chain Initiative · The Industrial Value Chain Initiative A Japanese contribution to Smart Manufacturing Prof. Dr. Yasuyuki Nishioka Hosei University, Tokyo,

The Industrial Value Chain Initiative

A Japanese contribution to

Smart Manufacturing

Prof. Dr. Yasuyuki Nishioka

Hosei University, Tokyo, and President of IVI

Forum Industrie 4.0 meets the Industrial Internet

28 April 2016 Hannover Messe

©2016 Industrial Value Chain Initiative

Agenda

1. Introduction to IVI

2. Scenario based 20 use cases

3. Loosely defined standard

4. Development framework for CPS

5. Future contribution and global context

2


What is IVI – Industrial Value Chain Initiative?

Established in June 2015 mainly by 53 Japanese

manufacturers initiated by METI and JSME-MSD.

Currently, IVI has already more than 140 members.

Supports building collaboration scenarios and use cases

of connected manufacturing among different enterprises

based on a loosely defined standard

Provides and manages a repository of loosely defined

standard models that can be continuously changed in

accordance with unexpected future requirements.

3

©2016 Industrial Value Chain Initiative4

Some IVI Members


IoT/MFG Initiatives in Japan

5

IoT for all Industries and Society

IoT Acceleration LabIoT Acceleration

Consortium

Industrial Value Chain Initiative

Interrelated

WG2

WG3 Robot Innovation Robot revolution

Initiative

WG1

Robot Usage promotion

IoT-driven Transformationin Manufacturing

Robot revolution society

Smart Manufacturing


IVI Key Concepts

Connected Manufacturing

Manufacturers focus and invest in their core competitive production

processes while dynamically connecting to other enterprises in a

supply chain both in cyber and physical worlds

Loosely Defined Standard (LDS)

LDS means that the standardization process is loosened to adjust to

the industrial diversity of the actual world.

(LDS does not mean that a specification is loosely defined)

Humans remain key

Cyber world and physical world come closer, but are not 1:1.

Artificial systems require designers and engineers as well as operators

The human being remains key also in the production of the future

6


Agenda






7


IVI‘s first 20 Projects

IVI has run 20 projects between September and March,

covering use cases in four areas:

8

Each project was run involving several companies,

sometimes competitors, in a novel collaboration.

By this, we learn how to connect real enterprises.

1. Reaction on changes in globally and locally connected factories

2. Emerging IoT technologies for production line management

3. Platform for connected world in design and manufacturing

4. New era of Human centric manufacturing powered by IoT


Examples of Use Cases (Area #4)

Robotics line building for SMEs using cloud knowledge database

Proactive machine communicating with workers in IoT

environment

Advanced quality assurance by connecting data - Towards zero

failure production

Standardization of working styles in "Man-Machine collaborative

factories"

Remote consulting service of production engineering by bill of

process information

9

New era of Human centric manufacturing powered by IoT


Standardization of working styles

in "Man-Machine collaborative factories"

10


Agenda






11


Collaboration diagram

ActorActor

Actor

Actor

Activity

Activity

Activity

Activity

Activity

Activity

Information

InformationInformation

Information

InformationThing

Thing Thing

Thing

Thing

12


IVI Metamodels

13

Scenario

Tiime

TimeTime

Scene

Scene

Scene

Place

Place

Scene

Actor

Actor

Actor

Activity

Activity

Activity

Trigger

Action

Action

Action

Information

Information

Activity

Thing


Specification

For Connection

Connected

operations

in site B

Connected

operations

in site A

Reference model

Interface is adjusted

Specification is adjusted

Loosely Defined Standard

Connected

operations

in site B

Connected

operations

in site ASpecification

For Connection

Interface Interface

Loosely defined standard

14


Profile for system integration

Site A

Independent

data models

Site B Site C Site D

Different company

X Specific model

Y Specific model

Z Specific model

Common

model Common

model

Implementation

profile

Each independent

application defines

interfaces to the

selected schema

Common

profile

Common profiles shall be

defined by differences

from the reference model

15

C-LDS

S-LDS


Agenda






16


Actor

Action

Action

Activity

Actual world

Technology

IT and Actual World Modeling

17

Information

Technology

DataData

LogicLogic

Logic

ThingInfor-

mationOccurrence


Cyber and Physical World w/ Humans

18

logic

Data

Data

Data

Data

logic

logic

Cyber

world

trigger trigger

trigger

(Autonomous action)

Logic can be

executed by the

corresponding

trigger

IoT device

attached can send

data downwards

Digitalized

information can

go to cyber world

Cyber and physical

world are NOT 1:1 !

Info.Info.

Things

Things

Info.

Physical

world

Activity

Activity

Activity

Activity


IVI Repository and Tools

19

IVI repository

Upload

Implementation

Download

IVI modeler

More than

5,000 LDSs

cloud


LDS Development Process Cycles

20

FY2015 FY2016

C-LDS

Ｃ-LDS : Common models of LDSS-LDS : specific models of LDS

Scenario

definition

Model

definition

S-LDS

C-LDS

Ver. 1.0

Scenario

definition…Scenario

definition S-LDS

Model

definition C-LDS

Ver. 2.0

…

IoT

tools

Platform

RM

Platform

RM

Ver. 2.0Ver. 1.0

…Pilot

systems

Pilot

systems

Industrial implementation

and evaluation

Industrial implementation

and evaluation

…

20 scenarios


Agenda






21


Global

Future Contribution from IVI

Large

Manufacturer

SME

ManufacturerMidsize

Manufacturer

Domestic Local region

user

customer

Equipment traceability in E/C

Information (Data) traceability

Products traceability in S/C

Technology (IP) traceability

Reconstruct

manufacturing

line as parts

Competitive and Collaborative

Digital and Analog

Redefine the border between:

22

New demand by fusion of

cyber and physical

worlds


World’s IIoT Initiatives and IVI

23

Manufacturers and

Fabrication SMEs

Factory Automation

Suppliers and IT vendors

IT service providers

and Platformers

Data creates value

Factory creates value

Knowledge of humancreates value

Mass

customization

(Lotsize 1)

Big data

Artificial Intelligence(AI)

Open and Closed

strategy

Business innovation by IIoT

Visionary standard for manufacturing of the future

Efficient migration from manufacturing today to tomorrow

Thank you!

http://iv-i.org

Documents

The Industrial Value Chain Initiative · The Industrial Value Chain Initiative A Japanese contribution to Smart Manufacturing Prof. Dr. Yasuyuki Nishioka Hosei University, Tokyo,