The initiated cluster is an industrial one composed by industrial partners of ongoing FoF-1-2014 projects around a common ground, “process optimization of manufacturing assets”[1] including:

  • Seven Research and Innovation Actions (RIA) targeting:industry-3087393_960_720
    • CPS- based methods for control and optimization of manufacturing processes
    • cloud-enabled tools for supply network optimization of manufacturing and logistics
    • monitoring and control systems for laser based manufacturing processes
  • One Support actions (CSA) targeting:
    • concept and roadmap building in relation to the Cyber-Physical Systems as a lever to empower manufacturing performance

The main objective of creating FoF-1-2014 industrial cluster is to promote the work developed in C2NET but also in the other projects and receive feedback from the industrial users. In addition, the following results are expected from the cluster:

  • to evaluate the cluster relevance in the industry: It is expected to have the projects’ results better prepared for the market with a better knowledge of their competitors and more accomplished business strategy.
  • To enable each project to receive feedback from others: This cooperation will be very beneficial in strengthening the outputs and conclusions of each projects’ activities.
  • To stimulate the interactions between the projects inside the cluster: The idea is to foster synergies and join workforces.
  • To propose unified methods: these methods can be applied for various reasons such as Impact Assessment.  The FoF-1-2014 projects should be able to measure their potential and know how they will fit in the manufacturing business, research and society.














Socio-Economic and Technical Assessment

To evaluate the impact of the cluster results, it is proposed to perform “Socio-Economic and Technical Impact Assessment” following these approaches based on the time frame of the assessment:

  1. Short-term (immediate) Impact Assessment using a questionnaire
  2. Long-term Impact Assessment using a unified method


A) Impact Assessment (short-term)

Considering the period of implementation at the end of the projects, which is relatively short, an assessment can be performed based on the opinion of the pilots as the industrial users. In addition, in case of new end-user, a preliminary assessment can be performed on the expected impacts.

For this short-term/preliminary IA, a questionnaire is prepared which allows, in a simplified way, raising awareness and stimulating the end-users on the subject of impact assessment, mainly by putting “social, innovation and scientific” aspect next to economic one since the former category of impact is usually in the shadow of the latter.

In this approach, the interviewee is questioned about the key cluster results used (or to be used) by his/her company. Then, he/she is guided through categorised questions to formulate its perception on the impacts (or expected impacts) of each result. Based on the answers, a preliminary assessment on positive/negative aspects can be performed.

Impact Assessment Questionnaire


B) Impact Assessment (long-term)

The proposition for a long-term Impact Assessment is based on the definition of customised PIs adapted to the unique characteristics of each project, results, and its users and their type of industry and expectations, instead of usage of pre-defined PIs.  C2NET developed the Impact Assessment method based on the simplified ECOGRAI method which is a method to design and implement Performance Indicator System (PIS) for industrial organisations (Doumeingts et al. 1995). The role of a PIS is to monitor the state of a process in order to evaluate the situation. In a PIS, performance indicators measure the efficiency of the actions to reach the objectives and facilitate the appropriate reaction.

The simplified ECOGRAI method is flexible enough to be adapted and applied particularly to the Impact Assessment in the three aforementioned areas (See Figure below). Here after, the adaptation of this method in the context of Impact Assessment is described. As an example, Manufacturing Industry area is chosen.

Adaptation of ECOGRAI method for Socio-Economic and Technical Impact Assessment

ecograi 2

Phase 1: Description of the system and definition of the objectives (expected impacts)

The first phase of the method (See (a) in the Figure) aims to describe the system in which the Impact Performance Indicators (IPIs) will be defined while focusing on the system objectives. In fact, it is quite impossible to determine (IPIs) for any kinds of activity, if we don’t know in which conditions the activity is performed. The systems in our case is in fact the system of the end-user of the cluster which can be Manufacturing System, Scientific/research community, and/or a part of the Society, targeted by the cluster results/propositions. To describe these systems, we need to determine the elements, processes, boundary, objectives and their role in the development and application of the cluster results. The elements can be for instance the industrial companies, used technology (machinery, IT tools, etc.), researchers, developers, customers, and competitors’ solutions.

In the next step, system objectives should be clarified. It should be noted that the objectives should be classified in the three areas of Impact Assessment: 1) Economic Impact on Manufacturing Industry, 2) Technical impact on Scientific/research community, and 3) Innovation impact on Society.

In a simplified example regarding one of the results of C2NET project, the corresponding objective in the first area is “to increase productivity of manufacturing processes”. Regarding the society, work life quality of the individuals can be at stake.

Phase 2: Definition of Impact Drivers

According to the domain of expected impacts (e.g. manufacturing system or a group of workers in the society), the potential actions, called Driver (see (b) in the Figure), on which the end-user system acts to reach its objectives (expected impact), should be defined. In this case, the drivers are the cluster results. Therefore, a list of methods & tools (developed or to be developed) and their functionalities resulted from the projects should be elaborated. The link between the results and the corresponding objective(s) should be also clarified.

For example, “C2NET Optimization component” can be a driver which contributes to the objective “to increase the productivity” mentioned in phase 1.

Phase 3: Definition of Impact Performance Indicators (PIs)

In the third phase, Impact Performance Indicators (IPI) are defined. Generally, a PI is a quantified data which measures the reaching of an objective under the effect of a corresponding driver (see (c) in the Figure). Even though the method promotes the definition of customised PIs, a list of predefined PIs existing in the literature can be inspiring.

For the example mentioned in Phases 1 and 2, the IPI can be the “Ratio of productivity (“number of produced products on resources” in a period of time divided by “number of produced products on resources” in the previous period). In a social context, an IPI can be “the level of worker satisfactions or well-being”. The IPIs should be well defined and measurable with precise periods/procedures of measurement based on the nature of the system (e.g. its evolution pace). In addition, the parameters (i.e. measurement conditions) and their effect on the IPI value should be identified to be able to isolate as much as possible the link between the driver and the IPI.

Before and after the introduction of the project results (drivers) to the system under investigation, the IPI should be measured in different periods. Following a classic approach, based on the comparison of the obtained values (taking into account the fact that the impact of the driver usually happens after a warm-up period), trends should be identified and analysed to assess the impact of a project result. It should be mentioned that the measurement conditions should be well studied to isolate as much as possible the link between the driver and the IPI value.

To guide the IPI definition, implementation, and measurement, purpose, a specification sheet is also proposed (see the Table below). This template can be used for detailing IPI information and to gather its main characteristics. The specification sheet is initially proposed by the ECOGRAI method and was (Doumeingts et al, 1995).


Impact Performance Indicator (IPI) Specification Sheet


IPI ID – Title (e.g. Productivity)
Evaluation mode Depending on the nature of IPI and the significance of its definition, one or both of the below evaluation modes will be chosen.

1.To study the IPI absolute value: IPI values during period “1” to “n”

2.To study the IPI evolution: Ratio:

ratio 1

e.g. ratio 2

Note: It is assumed that both the initial and the final values are positive (larger than 0). If the IPI initial value (IPI value during period X) is not applicable (e.g. implementation of a new system) or equal to 0, only IPI absolute value will be studied.

Purpose Why the measure is performed or why this IPI is important? This must be discussed between the enterprise and system responsible.
Expected Impact The end-user objective connected to the IPI. (e.g. To increase the Productivity, to hold the market position and to be more competitive)
Target audience To whom (service / person) the value of IPI is addressed. (e.g. To be presented to the production/marketing management and the system responsible).
Driver Solutions (IT applications / methods) to be implemented in the system allowing reaching the objectives. In Cluster case, the drivers are the solutions proposed by the projects which have been implemented in their pilots.
IPI nature Quantitative or Qualitative
Information source The information (data) source(s) needed to calculate the IPI.
Processing (Formula) The formula, including the parameters and variables, to calculate the IPI.
Collect Procedure How to collect the data? who collects the data? where the values are registered?
AS IS Value Value of the “IPI” during a period before the Driver implementation (e.g. 90%)
TO BE Value Value of the “IPI” during a period after the Driver implementation (e.g. 92%)
Required evolution (Target) The value of the IPI which is necessary to reach. (e.g. 13 (an increase of 2 percent))
The owner

(Who measures)

The person who is responsible of the domain in which the IPI is implemented (organisation of the measurement: Definition of the tasks of everyone), (e.g. responsible of the system)
Period The interval of time to evaluate the value of the IPI. This interval should be significant according the evolution of the system. The period depends on the evolution of the system (if the evolution is important, the period of evaluation decreases). (e.g. one month)
Horizon The interval of time during which the system is analysed. (e.g. one year)
Description mode Representation of the IPI wished by the future user (s) (e.g. Histogram)
Actions to react depending on the IPI value Action (on the concerned driver) that the owner takes to evolve in the right direction.




  • Doumeingts, G., Clave, F. & Ducq, Y., 1995. “ECOGRAI – A method to design and to implement Performance Measurement Systems for industrial organizations· Concepts and application to the Maintenance function” in A. Rolstadås (ed.), Benchmarking — Theory and Practice © S. In: A. Rolstadås, ed. Benchmarking — Theory and Practice. New York: © Springer Science & Business Media.
  • Doumeingts G., Fensterbank S-A., Pirayesh A., Barthet E., “C2NET D7.10 – 2nd Socio-economic Impact Assessment”, January 2018.









1st CREMA – C2NET Industrial Workshop – 24/11/2016 – Gipuzkoa (Spain)

The 24th of November it took place in Orona Fundazioa, Basque Country (Spain) an Industrial workshop, organised by C1st C2net workshopREMA and C2NET H2020 EU projects, intended to present future trends of European Industry especially those related to digitalization technologies applied to manufacturing. High levels speakers from the Basque Government and the Industry sector will give their expert vision about the manufacturing industry substantial transformations due to the proliferation of Information and Communication (ICT) and Internet Technologies.

Moreover, CREMA and C2NET have presented findings generated in both projects highlighting their approaches to meet above challenges.

Industry 4.0 – Implementation strategy – Eduardo Beltrán

Digitising European Industry – Innovation Hubs, Digital Platforms and Future Internet Services – Oscar Lázaro

FoF-1-2014 -Process optimisation of manufacturing assets – Jorge Rodriguez Edroso

Industry 4.0 Just Three Slides About This – Tim Dellas

CREMA video


TANet Workshop Presentation

TENNECO Workshop Presentation

– C2NET Intro video

C2NET DCF Presentation

– C2NET OPT Presentation


C2NET DCF Promotion

– C2NET COT Presentation

– Industrie 4.0 – Stefan Zimmerman


2nd CREMA – C2NET Industrial Workshop “SME Cluster Event 4 – 16/11/2017- Bridgend (United Kingdom)

This is the 2nd Industrial workshop resulting from the tight collaboration among C2NET and CREMA H2020 EU projects. The purpose of this event was to give to the European Industry a general overview about current and future trends related to 2nd workshop C2netdigitalisation technologies under the new paradigm Industry 4.0. Apart from listening to speakers of recognised standing coming from the industry sector (Siemens, Ford, Festo, Airbus, Balluf, Tenneco, etc.), both projects had the opportunity to present their objectives, scope of application and main findings generated until the date. Presentations and practical demonstrations will be made to show project solutions in line with the main goal of this action that was to collect first-hand feedback from companies regarding the clarity and applicability of solutions presented.


All the presentations and videos are available here.









Acronym Title Website

 Cloud Collaborative Manufacturing Networks

Sensor based adaptive laser micromachining using ultrashort pulse lasers for zero-failure manufacturing

Combilaser - English

COMbination of non-contact, high speed monitoring and non-destructive techniques applicable to LASER Based Manufacturing through a self-learning system

H2020 CREMA - Cloud-based Rapid Elastic MAnufacturing

Cloud-based Rapid Elastic MAnufacturing


Multimodal spectrAl control of laSer processing with cognitivE abilities


 Predictive System to Recommend Injection Mould Setup with Process Optimisation in Wireless Sensor Networks


Real-time dynamic control system for laser welding

















C2NET Project



ADALAM Project

CREMA Project

MASHES Project

 RADICLE Project















To receive more information or contact the cluster administrator: sophie.fensterbank(a)