ecvet supporting tool · learners can complete the online course on their own, participating in the...
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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.