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LeaD4Value

Lean data management for maintenance value

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

LeaD4Value project word cloud

Explore the words cloud of the LeaD4Value project. It provides you a very rough idea of what is the project "LeaD4Value" about.

reveal possibilities lead4value decisions challenged communicate continents manufacturing makers companies collected seconded data quality big surveys constructed analytical science enterprise smart statistical expand idea leads too multidisciplinary view unnecessary lean assets collection interconnected managers disciplines performance multiple decision maintenance directed engineers international business regarding tools sighted amount investments highlighted provides sciences contrary map asset nature unable lately computerized combining majority world engineering hype fellow class realise interviews reliability competences planning paths integration employees discussed resource company missing model autonomous

Project "LeaD4Value" data sheet

The following table provides information about the project.

Coordinator	UNIVERSITY OF SUNDERLAND Organization address address: Edinburgh Building, Chester Road city: Sunderland postcode: SR1 3SD website: http://www.sunderland.ac.uk/ contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	United Kingdom [UK]
Project website	https://lead4value.wordpress.com
Total cost	195˙454 €
EC max contribution	195˙454 € (100%)
Programme	1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
Code Call	H2020-MSCA-IF-2016
Funding Scheme	MSCA-IF-EF-ST
Starting year	2017
Duration (year-month-day)	from 2017-09-01 to 2019-08-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	UNIVERSITY OF SUNDERLAND UNIVERSITY OF SUNDERLAND Organization address address: Edinburgh Building, Chester Road city: Sunderland postcode: SR1 3SD website: http://www.sunderland.ac.uk/ contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (Sunderland)	coordinator	195˙454.00

Map

Project objective

The possibilities of data-based maintenance management as well as interconnected, smart, and autonomous assets have been discussed lately but in practice there are still a number of major problems regarding e.g. the amount, quality, integration, and exploitation of maintenance data. In LeaD4Value these problems are addressed through lean maintenance data management to realise increased business value. Contrary to the Big Data hype, the idea here is to focus on the data decision support tools to be constructed based on analytical modelling and statistical analyses. Data will be collected from computerized maintenance management systems and enterprise resource planning systems of the two seconded companies, as well as from some of their employees via surveys and interviews. The results include e.g. a map of data exploitation paths, a process model, and a performance measurement system for lean maintenance data management. These tools can be used to reveal unnecessary maintenance tasks and data collection, missing data collection, or potential to increase the business value of maintenance. The role of world-class maintenance is highlighted in European manufacturing, because a majority of new production-related investments are directed to other continents. The proposed work is multidisciplinary by nature, combining aspects of business value management, reliability and maintenance engineering, and data sciences. The multidisciplinary view is needed, for asset management is challenged by maintenance engineers and managers understanding the technical aspects of maintenance but being unable to communicate these to the company decision makers in terms of business value. Too often this leads to short-sighted decisions. The project will expand the competences of the fellow in multiple disciplines, and provides international experience in science and business.

Publications

List of publications.
year	authors and title	journal	last update
2019	Salla Marttonen-Arola, David Baglee Assessing the information waste in maintenance management processes published pages: , ISSN: 1355-2511, DOI: 10.1108/jqme-11-2018-0100	Journal of Quality in Maintenance Engineering in press	2020-01-29
2018	David Baglee, Salla Marttonen-Arola An approach to identifying waste in data management processes published pages: , ISSN: , DOI:		2020-01-29
2019	Salla Marttonen-Arola, David Baglee Implementing a CMMS: an investment appraisal based on value of data published pages: , ISSN: , DOI:		2020-01-29

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The information about "LEAD4VALUE" are provided by the European Opendata Portal: CORDIS opendata.