Global Predictive Maintenance

Project name

Global Predictive Maintenance: Application of I4.0 Technologies. for the development of solutions for global predictive maintenance of construction and construction machinery public work

Execution period

01/07/2017 – 31/03/2018

File number: AEI-010300-2017-218

The project

Future competitiveness in the construction, public works and mining machinery sector in the future will pass, and this was reflected in the CECE Congress, Association European Association of Construction Machinery Manufacturers to which it is a member. belongs to ANMOPYC, held last October 2014, for performing efforts aimed at positioning the sector in the new market. scenario through (1) the development of new machines (or improvements to the current ones) that respond to the new challenges of the construction, public works and mining (2) the adequacy of processes manufacturing and exporting in the face of the new global reality.

This The project is focused on the second of these points, in particular on the after-sales processes of the machines at a global level. As indicated in the latest study conducted by MCKinsey&Company published in April 2016, “Reengineering construction equipment: from operations. focused to customer centric”, one of the most important trends of the future in the world’s public works machinery and equipment manufacturing sector. is the generation of aftermarket services for end users and distributors. In this area, one of the most important issues that have the greatest impact on end-user operations is the maintenance of the machinery fleet at the worksites to ensure the correct functioning of the same during operation.

The The market for public works, construction and mining machinery is a global market and companies, regardless of their size, need to develop more innovative and higher quality products and services. quality, and launch them to the market before their competitors in order to have success in today’s difficult economic conditions.

This project deals with the analysis and selection of the most appropriate technologies to generate innovative predictive maintenance services at a global level. global sales of Spanish manufacturers of construction machinery and public works.

• Innovative Business Clusters

This The project has received grant assistance under the support program for Innovative Business Groups (AEIs). This program to support the strengthening of innovation clusters se the European strategy to improve the competitiveness of the European Union’s innovation.

The groups that can benefit from the grants of the program are those entities whose innovative potential and mass are The critical acclaim has earned them recognition from the Ministry of Economy, Industry and Competitiveness (MINECO) through its registration in the Registry of Innovative Business Groups.

Project objectives

Technical information on the project and its objectives:

The The objective of this project is the definition of a project portfolio experimental development and innovation related to the creation of new products. a technological platform oriented to generate innovative services of predictive maintenance of construction and public works machinery a global level.

Secondary objectives will include:

• Capture of needs and problems to be solved in the maintenance field of construction and public works machinery from the point of view of the of the manufacturer, the distributor and the end user of the machines.
• Design conceptualization of a predictive maintenance technology platform that can meet these manufacturers’ needs, distributors and end-users of construction and construction site machinery public.
• Classification and assessment of the technologies of machinery monitoring, communications monitoring (Telematics) and big data for data analysis and failure prediction. on machines at construction sites (Data Analytics).
• Development of business models for machinery manufacturers in the and public works for the provision and sale of construction and public predictive maintenance through this technological platform.
• Generation of projects for the development and implementation of predictive maintenance services that can be provided through post-sale by manufacturers.

The project includes the following five work packages:

• Surveillance monitoring, telematics and data analytics technologies. for the predictive maintenance of construction machinery. and construction.
• Selection of machine group(s) with to work with. Definition and prioritization of problems and maintenance needs of these machines.
• Conceptual design of a global predictive maintenance platform. Proof of concept.
• Development of new business models based on predictive maintenance services.
• Generation of a portfolio of projects for the development of this platform of predictive maintenance and dissemination actions. Dissemination of results.

Participating entities:

• ANMOPYC (Coordinator)
• ITAINNOVA

.

Call to which the project belongs

Innovative Business Clusters

This The project has received grant assistance under the support program for Innovative Business Groups (AEIs). This program to support the strengthening of innovation clusters se the European strategy to improve the competitiveness of the European Union’s innovation.

The groups that can benefit from the grants of the program are those entities whose innovative potential and mass are The critical acclaim has earned them recognition from the Ministry of Economy, Industry and Competitiveness (MINECO) through its registration in the Registry of Innovative Business Groups.

Budget: 76,065.84

Financing: 52,954