Int. J. Metrol. Qual. Eng.
Volume 9, 2018
|Number of page(s)||9|
|Published online||05 February 2018|
An overview of Quality Management System implementation in a research laboratory
Horticulture and Seeds Research Institute (IRHS-MRU 1345), INRA/Agrocampus Ouest/University of Angers-42, rue Georges Morel,
Beucouzé Cedex, France
2 Angevin Research Laboratory in Systems Engineering (LARIS–EA 7315), University of Angers, 62 avenue Notre Dame du Lac, 49000 Angers, France
3 Psychology Laboratory of Pays de la Loire (LPPL-UPRES EA 4638), University of Nantes, BP 81 227, 44312 Nantes cedex 3, France
4 Economy and Management Laboratory (LEMNA), University of Nantes, Chemin de la Censive du Tertre, B.P. 81227, 44312 Nantes Cedex 3, France
5 Decision Support Systems Research Centre (CERADE), ESAIP School of Engineering, 18 rue du 8 mai 1945, 49180 St Barthélemy d'Anjou, France
6 Agricultural Research Centre for International Development (CIRAD), Avenue Agropolis, 34398 Montpellier Cedex 5, France
* Corresponding author: Valerie.Molinero-Demilly@angers.inra.fr
Accepted: 11 November 2017
The aim of this paper is to show the advantages of implementing a Quality Management System (QMS) in a research laboratory in order to improve the management of risks specific to research programmes and to increase the reliability of results. This paper also presents experience gained from feedback following the implementation of the Quality process in a research laboratory at INRA, the French National Institute for Agronomic Research and details the various challenges encountered and solutions proposed to help achieve smoother adoption of a QMS process. The 7Ms (Management, Measurement, Manpower, Methods, Materials, Machinery, Mother-nature) methodology based on the Ishikawa ‘Fishbone’ diagram is used to show the effectiveness of the actions considered by a QMS, which involve both the organization and the activities of the laboratory. Practical examples illustrate the benefits and improvements observed in the laboratory.
Key words: Quality / research / reliability / management / measurement / manpower / methods / materials / machinery / mother-nature
© V. Molinéro-Demilly et al., published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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