FAME – Fostering the Adoption of ICT-enabled AMTs by European SMEs

2018-1-FR01-KA202-04780

This project has been funded with support from the European Commission. This communication reflects the views only of the author, and

the Commission cannot be held responsible for any use which may be made of the information contained therein.

ECVET SUPPORTING TOOL

Fostering the Adoption of ICT-enabled

AMTs by European SMEs

FAME – Fostering the Adoption of ICT-enabled AMTs by European

SMEs 2018-1-FR01-KA202-04780

This project has been funded with support from the European Commission. This communication reflects the views only of the author, and

the Commission cannot be held responsible for any use which may be made of the information contained therein.

Table of contents 1. Introduction and Document Objective ................................................................................................ 3

2. Project Context .................................................................................................................................... 3

3. Consortium Members .......................................................................................................................... 4

4. Learning Outcomes of the AMT Manager ECVET profile .................................................................... 5

5. Allocation of ECVET Points .................................................................................................................. 6

6. Assessment and Recognition ............................................................................................................... 8

7. FAME Qualification .............................................................................................................................. 8

8. Connected Actions ............................................................................................................................... 9

9. Links and Useful Resources ................................................................................................................. 9

FAME – Fostering the Adoption of ICT-enabled AMTs by European

SMEs 2018-1-FR01-KA202-04780

This project has been funded with support from the European Commission. This communication reflects the views only of the author, and

the Commission cannot be held responsible for any use which may be made of the information contained therein.

1. Introduction and Document Objective

The following document, entitled ECVET Supporting Tool, will provide key information to understand

the steps to obtaining a new qualification of an Advanced Manufacturing Technology (AMT) Manager,

and the FAME TRAINER certification, achieved within the Erasmus+ Strategic Partnerships for

vocational education and training project Fostering the adoption of ICT-enabled AMTs by European

SMEs, hereinafter referred to as FAME.

The document has been divided into a few parts, including the FAME project context, the Consortium

members, learning outcomes of the AMT Manager ECVET profile, allocation of ECVET points,

description on assessment and recognition of acquired learning outcomes, the FAME qualification

specification, and the final parts devoted to connected actions, for continuing professional

development, and seeking additional resources on ECVET qualifications.

2. Project Context

In alignment with the ET2020 Strategy and the decision No. 1720/2006/EC, the FAME project was

written to promote a dynamic knowledge based economy for Europe and sustainable economic growth

through the main objective of helping SMEs with AMT adoption. This objective is aligned with the

Europe 2020 strategy (IP/10/225). Thus, the initial aim of the FAME project is the proposal of

professional strategies for the implementation in the AMT (industrial) sectors by managers to deliver

with the use of digital tools.

The training course is the core of the project and it aims to offer valid training contents to professionals

from the industrial SME sectors in order to support them in the acquisition of relevant competences.

Competences to be acquired comprise technical, specialised, transversal and digital skills which will

enhance professional development. By implementing the ECVET system, FAME supports the “learning

outcomes” approach, while the framework for the recognition of skills and achievements based on the

Open Badges specification is also a tool for the assessment of competencies acquired and developed.

The ICT-enabled AMT course has been designed in response to a set of elaborated proven adoption

strategies for facilitating AMT implementation. These AMT adoption strategies, that are the core

content of the training course, are adaptive to the situation of particular SMEs, thus designing

personalised training paths. The course has been divided into modules, each addressing one of the key

ICT-enabled AMTs. Modules are divided into actions, which were elaborated by the Consortium

members and incorporated into the online platform.

Learners can complete the online course on their own, participating in the remote self-paced e-

learning, or opt for an instructor led training - organized in a classroom or as a webinar. The remote

learning compromises of a Virtual Implementation Assistant, which in the classroom will be replaced

by the role of an instructor – both assisting the learner in setting up a personalised strategy.

FAME – Fostering the Adoption of ICT-enabled AMTs by European

SMEs 2018-1-FR01-KA202-04780

This project has been funded with support from the European Commission. This communication reflects the views only of the author, and

the Commission cannot be held responsible for any use which may be made of the information contained therein.

3. Consortium Members

The FAME Consortium comprises of 7 partners covering HE, technical consulting and implementation,

software and technology transfer and innovation and off course VET, with significant dissemination

potential and is expected to achieve a significant impact promoting the training programs and tools

based on the “learning outcomes” approach.

Coordinator

ECAM-EPMI is a Graduate School of General Engineering created

by four major industrial groups: EDF, Philips, PSA and Schneider,

from France.

Partners

ATLANTIS Engineering is a Greek ICT SME providing training and

consulting services on maintenance and asset management, as

well on ICT solutions.

Crystal Clear Soft (CCS) is a software development company

from Greece actively researching on innovative uses of state of

play technology in digital publishing, education, training and

knowledge dissemination.

CENFIM is a Home & contract furnishings cluster and innovation

hub based in Spain, with the mission to contribute to improve

the competitiveness of furniture producers and companies along

all interiors value chain.

CIVIC is an award winning digital solutions provider with almost

two decades of industry leading experience, from the United

Kingdom.

Cosmic Innovations (COIN), formerly known as FAVINOM

Consultancies, is a very dynamic consultancy from Cyprus

offering a vast range of services bridging the gap between the

commercial and public/EU funding ecosystems.

Danmar Computers LLC is a private company based in Poland

operating in the field of Information Technology and providing

vocational training in this field.

Contact one of the Consortium Members.

FAME – Fostering the Adoption of ICT-enabled AMTs by European

SMEs 2018-1-FR01-KA202-04780

This project has been funded with support from the European Commission. This communication reflects the views only of the author, and

the Commission cannot be held responsible for any use which may be made of the information contained therein.

4. Learning Outcomes of the AMT Manager

ECVET profile

The AMT course is a hands on training course with its modules directly addressing the learning

outcomes of the AMT Manager ECVET profile. The learning outcomes have been divided per module

by the Consortium.

TABLE 1. FAME LEARNING OUTCOMES BY MODULE

Knowledge Skills Responsibilities & Attitudes

3D Printing & Digital Manufacturing

Has basic knowledge of IOTs, data analytics and connectivity

Defines the fundamentals for introducing 3D printing into manufacturing

Recognizes the opportunities and costs behind 3D printing & digital manufacturing technologies

Chooses the right project, product and business case for implementing 3D printing

Guides on navigating complex design of products on the example of additive manufacturing

Adopts 3D printing technologies to the manufacturing environment

Assumes the benefits of 3D printing & digital manufacturing for reducing product introduction cycles and time-to-market process

Acts independently when integrating new digital manufacturing tools

Feels confident in instructing on the customisation of products by introducing 3D printing into manufacturing

Cloud manufacturing Has basic knowledge of cloud computing and cloud manufacturing

Defines the flexible manufacturing system on-demand

Recognizes traditional manufacturing supply chain vs cloud-based manufacturing chain

Chooses between four kinds of service-oriented cloud manufacturing, based on the consideration of security, safety and utilization

Guides on the peculiarities of a cloud manufacturing service platform

Adopts cloud manufacturing and the basics behind IoTs in planning own workforce

Assumes the benefits of cloud computing in AMT

Acts independently when considering the implementation of cloud manufacturing practices/features

Feels confident in analysing the winning practices addressing the whole lifecycle of a product

Adaptable manufacturing Has basic knowledge of components and technologies for adaptable manufacturing

Defines industrial automation systems and their role in manufacturing

Recognizes optimization in smart manufacturing

Chooses the adaptable manufacturing solutions based on the sector peculiarities

Guides the process from initial digitization to predictive

Adopts predictive maintenance in adaptable manufacturing

Assumes the benefits of agile manufacturing and agile flexibility in adaptable manufacturing

Acts independently when introducing new solutions for the optimization in smart manufacturing

Feels confident in instructing on real-time forecasts of production and delivery times for customers

VR & Simulation technologies Has basic knowledge of the introduction of virtual reality & simulation technologies in different industries

Defines the benefits of virtual reality technology to change different sectors

Recognizes simulation technologies and their significance for AMTs

Chooses between different roles of virtual reality in a manufacturing company

Guides on the application of virtual technology & simulation technology in different sectors

Adopts solutions of simulation modelling demonstrated in Industry 4.0 for benchmarking the implementation of new technologies into own business

Assumes the awareness of the benefits behind applying virtual reality in manufacturing

Acts independently in matching the virtual reality technology to different sectors

Feels confident in explaining virtual reality & simulation technologies

FAME – Fostering the Adoption of ICT-enabled AMTs by European

SMEs 2018-1-FR01-KA202-04780

This project has been funded with support from the European Commission. This communication reflects the views only of the author, and

the Commission cannot be held responsible for any use which may be made of the information contained therein.

Supply chain management tools

Has basic knowledge of enhancing supply management through AMTs

Defines the challenges within supply chain management tools

Recognizes different supply chain management tools

Chooses advanced supply chain quality management techniques based on the type of business activity

Guides on the selection of supply chain technologies

Adopts Business Model Canvas (BMC) in the working environment

Fully understands the benefits of digitalization of supply chain maintenance

Acts independently to standardize digital data storage & transfer tools used in the supply chain management

Feels confident about Intellectual Property Rights Management

Product Lifecycle Management Systems

Has basic knowledge of Product Lifecycle Management (PLM) in manufacturing and its role in Industry 4.0

Defines steps for starting a successful collaboration process framework

Recognizes the overlapping capabilities of Product Lifecycle Management (PLM) systems and Enterprise resource planning (ERP)

Chooses from existing commercial suites for Product Lifecycle Management Systems (PLM)

Guides through the various stages that a product goes through in its lifetime

Adopts collaborative methods of working along a Product Lifecycle Management (PLM) process

Assumes the awareness of four types of analytics for Product Lifecycle Management Systems (PLM)

Acts independently when managing a collaboration process along the product lifecycle

Feels confident on the ways that Product Lifecycle Management (PLM) can help improve the business

Enterprise Resource Planning Has basic knowledge of on the relation between IoTs and data management

Defines Customer Relationship Management (CRM) for application in the work environment

Recognizes data management solutions in Enterprise resource planning (ERP)

Chooses effective solutions for data management to simplify manufacturing processes

Guides on the use of data, sales or production management digital solutions

Adopts Enterprise resource planning (ERP) and Customer Relationship Management (CRM) to the work environment

Assumes the competences of Enterprise resource planning (ERP) and Customer Relationship Management (CRM)

Acts independently on the integration of Enterprise resource planning (ERP) and Customer Relationship Management (CRM)

Feels confident when using a Customer Relationship Management (CRM) solution

ECVET points have been allocated to the above described learning outcomes of the course.

5. Allocation of ECVET Points

The e-learning course consists of seven modules, each divided into six actions, in the Credit Allocation

Chart referred to as learning units. The type and amount of learning units that learners will study is the

result of pre-assessment test, completed after registering for the e-course. Also, based on this same

result, the system allocates the number of hours and ECVET points.

In the FAME e-course, a single learning unit accounts for either 0.25 or 0.5 ECVET point. The

approximate number of hours necessary to learn the material within a single learning unit is between

2 and 5 hours. This means that each one full module, with six learning units each, requires between 14

and 30 hours of studying to then collect the respective amount of ECVET points. For the learner to be

acknowledged to the qualification of an AMT Manager, and digital FAME TRAINER Open Badge, they

will be obliged to collect a complete number of ECVET points = 16. In the case when the system does

not match some of the learning units to the learner’s strategy, this cumulative amount of ECVET points

should be automatically calculated to the learner’s account.

FAME – Fostering the Adoption of ICT-enabled AMTs by European

SMEs 2018-1-FR01-KA202-04780

This project has been funded with support from the European Commission. This communication reflects the views only of the author, and

the Commission cannot be held responsible for any use which may be made of the information contained therein.

TABLE 2. FAME CREDIT ALLOCATION CHART

Modules Learning units Hours ECVET points

3D Printing & Digital Manufacturing

Transforming factories into digital factories 2

14

0.25

2

Adopting 3D printing technologies 3 0.5

Navigating complex design 3 0.5

Integrating new tools 2 0.25

Using IoT, data analytics, and connectivity 2 0.25

Reducing costs with 3D printing 2 0.25

Cloud manufacturing

Advanced Manufacturing to the Cloud - Architecture & Connectivity

3

14

0.5

2

Cloud Manufacturing Platform 2 0.25

Service-oriented Manufacturing 2 0.25

Flexible Manufacturing System on demand 2 0.25

Internet of Things & Cloud Manufacturing 2 0.25

Cloud Manufacturing services 3 0.5

Adaptable manufacturing

Connected adaptable manufacturing 3

18

0.5

3

Component and technologies for connected adaptable manufacturing

3 0.5

Optimization in smart manufacturing 3 0.5

Transparency in adaptable manufacturing (real-time visualization)

3 0.5

Proactive system & adaptable manufacturing (prediction)

3 0.5

Agile flexibility in adaptable manufacturing 3 0.5

VR & Simulation technologies

Simulation technologies - overview 3

14

0.5

2

Virtual Reality explained 2 0.25

VR application areas 3 0.5

VR technology of today 2 0.25

Virtual Reality in Manufacturing 2 0.25

Simulation modeling in Industry 4.0 2 0.25

Supply chain management tools

Business Model Canvas 2

14

0.25

2

IPR Management 2 0.25

Advanced Supply Chain Quality Management Techniques (Sensors, KPIs, etc.)

3 0.5

Enhancing Supply Management through AMTs (reskilling of employees)

3 0.5

Digitisation of Supply Chain Maintenance 2 0.25

Standardise digital data storage & transfer tools used in supply chain management

2 0.25

Product Lifecycle Management Systems

Product lifecycle phases and main processes involved

3

18

0.5

3

Collaborative methodologies along the product lifecycle

3 0.5

Product lifecycle management software and integrations

3 0.5

Product data management systems and data analytics

3 0.5

Embedded information devices / PLM and its role in Industry 4.0

3 0.5

Connections of PLM with ERP 3 0.5

Enterprise Resource Planning

Preparing for ERP 2

14

0.25

2

Data centralisation 2 0.25

Integration of activities and functions 2 0.25

Coordination of processes 2 0.25

ERP and the internet 3 0.5

Integrating ERP with CRM 3 0.5

106 H 16 ECVET

Note: the presented Credit Allocation Chart of ECVET Points has been developed by the FAME Consortium and

serves as a proposal. The required amount of hours to meet the eligibility criteria for ECVET credit allocation vary

FAME – Fostering the Adoption of ICT-enabled AMTs by European

SMEs 2018-1-FR01-KA202-04780

This project has been funded with support from the European Commission. This communication reflects the views only of the author, and

the Commission cannot be held responsible for any use which may be made of the information contained therein.

by country based on implemented national qualification systems. For qualifications which do not have a formal

learning pathway reference, ECVET credit points can be allocated through estimation by comparison with another

qualification which has a formal reference context. […] The successful achievement of a qualification or of a unit

triggers the award of the associated ECVET points, independently of the actual time required to achieve them.

(RECOMMENDATION OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 18 June 2009 on the

establishment of a European Credit System for Vocational Education and Training (ECVET).

6. Assessment and Recognition

With the completion of the online course, the acquired learning outcomes can be immediately

implemented by AMT Managers to witness the benefits from this implementation on balance sheets.

The fundamental knowledge to implement the actions of a strategy should be acquired by those

undertaking either the instructor led course or the remote e-Learning course. However, to benefit from

all the course activities and strengthen the position of an AMT Manager, FAME also includes knowledge

retention. To fully benefit from the completion of the e-learning course and for learners’ knowledge

and skills assessment and recognition, they should use the Knowledge Retention Service and the Open

Badges. For knowledge and skill assessment the first step is online training. The second step is practice

in the workplace. The third step is online certification upon the passing the 70% assessment threshold.

For knowledge and skill recognition the project has foreseen Open Badges. An Open Badge is a visual

representation of skills and achievements in a digital form.

The FAME TRAINER Open Badge is an added value to the project, supplementing the recognition and

validation of competences acquired throughout the course. This Open Badge may serve the purpose

to demonstrate skills necessary for a certain profession and can be treated on equal with other non-

formal courses that a learner may have completed for the development of own professional skills. The

authenticity of a FAME TRAINER Open Badge can be verified through the FAME Academy as each

credential is connected with a unique ID.

In situations when learners are seeking additional support to understand the process of assessment

and recognition, they are advised to consult instructors and/or FAME Consortium representatives from

their place of residence [go back to part 3.].

7. FAME Qualification

FAME suggests a global new qualification of AMT Manager. The European multilingual classification of

Skills, Competences, Qualifications and Occupations (ESCO), under the European Commission and part

of the Europe 2020 strategy, does not have in its register of qualifications the AMT Manager

qualification.

The AMT Manager is a professional that has knowledge about, can demonstrate the abilities and is

able to implement a set of actions for the Advanced Manufacturing Technology sector. These

mentioned are the outcomes of the participation in the ICT-enabled AMT course recommended in the

FAME project.

FAME – Fostering the Adoption of ICT-enabled AMTs by European

SMEs 2018-1-FR01-KA202-04780

This project has been funded with support from the European Commission. This communication reflects the views only of the author, and

the Commission cannot be held responsible for any use which may be made of the information contained therein.

Additionally, the Open Badge under the name FAME TRAINER will be a proof of the ability of the

particular AMT Manager to guide and review the participation of a learner to the FAME programme.

The above described applies to the recognition of a full qualification.

FAME also envisages recognizing partial qualifications. This applies for learners that have completed

their personalised strategy through the ICT-enabled AMT course, but who have not achieved all Open

Badges or decided not to benefit from the Knowledge Retention Service. In either of the last two cases,

in order to receive the partial qualification, necessary will be the consultation with an instructor to

verify the competences of the learner (AMT Manager).

8. Connected Actions

FAME Training Methodology

For additional information on the training components and system.

Full document available for download in the Results section on the project website

Memorandum of Understanding

For preparing a learning agreement when conducting Instructor-led classroom training.

Template available for download online.

9. Links and Useful Resources

FAME website. https://projectfame.eu/

RECOMMENDATION OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 18 June 2009 on the

establishment of a European Credit System for Vocational Education and Training (ECVET).

https://eurlex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ%3AC%3A2009%3A155%3A0011%3A0018

%3AEN%3APDF

PART II OF THE ECVET USERS’ GUIDE, Using ECVET for Geographical Mobility (2012).

http://www.ecvet-projects.eu/Documents/ECVET_Mobility_Web.pdf

ESCO, multilingual classification of European Skills, Competences, Qualifications and Occupations.

https://ec.europa.eu/esco/portal

Open Badges. https://openbadges.org/

FAME – Fostering the Adoption of ICT-enabled AMTs by European

SMEs 2018-1-FR01-KA202-04780

This project has been funded with support from the European Commission. This communication reflects the views only of the author, and

the Commission cannot be held responsible for any use which may be made of the information contained therein.