smarter manufacturing sustainable futures 3 flexinet project overview

FLEXINET project 608627

Intelligent Systems Configuration Services for Flexible Dynamic Global Production Networks

The FLEXINET project no. 608627 is funded under the Seventh Framework Programme FP7-2013-NMP-ICT-FOF (RTD)

Duration: 1st July 2013 – 30th June 2016

For further informa.on contact the project coordinator, Prof Bob Young. Email: [email protected]


! To understand how best to configure and re-configure a global production network, in the context of ever changing product-service requirements.

! To provide services that support the design and provision of flexible interoperable networks of production systems that can rapidly and accurately be re-configured.

FLEXINET Aims


The FLEXINET Concept

FLEXINET – Configuring a global (product-service) production network – ‘early’ business decision support

FLEXINET emphasis on ‘early’ business decision support

There are many poten-al global produc-on network solu-ons

Network knowledge supports network configura-on

Produc-on Network knowledge supports early product/service viability decisions

FLEXINET: especially targeted at an improved and rapid understanding of new business development opportunities

FLEXINET Services

Strategic Business Model Evaluator

Produc;on Network Configurator

Product-‐Service Co-‐evolu;on Management

The FLEXINET approach – FLEXINET Software Services

analyse proposed changes in the context of the existing network inter-relationships in a simulation based “what-if” analysis of cost and risk

support network configuration based on Social, Technological, Economic, Environmental and Political factors

ensure that new product-service-production network elements remain compliant in terms of combined PLM/SLM requirements


Legal factors

Social factors

Economic factors

Poli-cal factors

Technological factors

Risk factors

A world of Production Systems, Service Systems, external factors, risks, markets and business opportunities


Identify potential Product-Service Production System Configurations


Evaluate potential Product-Service Systems Configurations

PNES: Tac;cal business model configura;on

ERAS: Business cost and risk evalua;on

PSCoMS: Product-‐Service Co-‐evolu;on

We provide software services to support the evaluation of these configurations at the Strategic, Tactical and Product-Service Co-Evolution levels


Underlying the Services are Formal Ontologies

Capture Knowledge about your “world” of interest •  knowledge harmonisa-on •  clearly defined vocabularies •  computer interpretable -‐> consistency checks •  use KB to answer ques-ons

Enterprise ontologies must be built from a common base

for ease of construc;on, effec;ve interoperability and

flexible re-‐use

Level 2 Natural Systems

Level 3

Level 5

Level 0

Level 1

Ontology Layers CORE (ULO)

Systems

Designed Systems

Manufacturing Business Systems

Product-‐Service Lifecycle Systems Marke-ng Finance

Produce Dispose/ End of life

Enterprise Specific

(Highfleet)

FLEXINET is concerned with modeling the elements of global produc;on network systems

FLEXINET will use these models to support ‘what-‐if” queries on the

configura;on of these elements into global produc;on systems

Healthcare Systems Banking Systems

Design Operate

Level 2 Designed Systems

Level 3 Manufacturing Business Systems

class Level 3 - Manufacturing Business Systems

ParticipatorRole

Manufacturer

ParticipatorProduct

RoleManufactured

Product

BasicOrganisation

SystemManufacturing Organisation

Lower level layers are specialisations of higher level layers

Level 1 Systems

Level 5 Enterprise Specific -‐ Custom Drinks

class Level 1 - System

BasicSystem

Level 0 - Core::TimeSpan

BasicInformation

BasicMaterial

BasicEnergy

RoleInput

RoleOutput

RoleResource

RoleConstraint

Basic Role

class Level 4 - Product Service Production Systems

RoleManufacturer

ParticipatorProducer

RoleParticipator

Production Engineer

BasicSystem

Production Method

class Level 5- Enterprise Specific

RoleManufactured Product

ParticipatorProduct

CD_Container

Role Task

Feasibility StudyCD_Feasibility

Study

RoleComponent

FunctionCD_Content

RoleComponent

FunctionCD_Ingredients

BasicInformation

LocationCD_Country

class Level 2 - Designed Systems

BasicInformation

VisualisationReport

ParticipatorRole

Customer

ParticipatorRole

Supplier

ParticipatorRole

Product

FunctionRole

Product Request

BasicInformationLocation

BasicExternal Factors

InformationLegislation/Legal

Factors

FunctionRole

Component

BasicSystem

Organisation

BasicMaterial

Equipment

RoleParticipator

BasicSystem

Level 2 - Natural

Systems::Person

RoleTask

Feasibility Study

RoleTask

RoleFunction

BasicInformationExternal Factors

BasicInformation

MetricDistance

BasicInformation

Metric

A UML Class model of Level 1

Level 1 formal definition – based on Common Logic

FLEXINET Applications mapped to Service Packages

Strategic business model evaluator

Early warning no-fica-on applica-on

Strategic risk assessment applica-on

Ini-al risk analysis and documenta-on

P/S ideas management

product-‐ service compliance

STRATEGIC (ERAS)

Product Service Co-‐Evolu;on (PSCoMS)

TACTICAL (PNES)

Business model impact analysis

Reference model fragments for GPN

Technology Effect Analyser

Business Model Accelerator

Opera;onal Business Model Configurator

Opera;onal risk assessment applica;on

Business model Configurator

Knowledge Maintenance

User Experience Evalua-on

Collabora-ve design review

Idea Genera-on Process

Design Process

INDESIT Scenario – New Product-Service

KSB Scenario – Product Innovation through new technology

Iden-fy poten-al new applica-on areas for the technology

Develop details of GPN design scenarios

Analyse GPN scenarios to support management proposi-ons

CustomDrinks Scenario – Made-to-order drinks 19 of XX


FLEXINET: expected impact for end users

! Improved response to customer requirements.

! Radical improvements in the evaluation of the critical parameters involved in network configuration.

! Reduced cost of introducing new product/service variants.

! Improved scheduling and decision making within the production network.

! Improved robustness of the supply network in its ability to work to forecast.