The requirement for a performance measurement system is essential in order to know the status of the production system and then to improve its control. Focused on research on the control of production systems for 20 years with the development of GRAI methodology, the LAPS/GRAI of University Bordeaux 1 worked for more than 10 years on the definition and the implementation of performance indicator systems through the development of ECOGRAI method and on the aggregation of performance. This paper presents an application of the ECOGRAI method to a workshop inside an aeronautical subcontracting company close to Bordeaux. The first part of the paper will be dedicated to a short presentation of the ECOGRAI method. In particular, we will present six phases of the structured approach and the main tools which are used in the method: the GRAI grid, the coherence panel and the specification sheet and the identity card of the indicators. In the second part, we will present a test case. First, we will present the context of the test case and the objectives that we had to meet. Then we will present the models of the control system and of the physical system through the GRAI grid and actigrams. We will show how we proposed to model the global control of the company and the detailed control of each workshop. Then, we will focus particularly on the way we have identified the performance indicators, based on the objectives and decision variables of the GRAI grid. We will also show how we solved the problem of aggregation of performance in relation to the coordination of decision-making. In the third part, we will detail how we ensured that these indicators were adapted to the control of the workshop and how we ensured their consistency. Finally, we will show to what extent the implementation of the coherent performance indicator system had an impact on the organization and the running of the workshop.
[1]
D. Garvin.
Manufacturing Strategic Planning
,
1993
.
[2]
Yves Ducq,et al.
Coherence analysis methods for production systems by performance aggregation
,
2001
.
[3]
E. Ziegel,et al.
Balanced Scorecard
,
2019,
Encyclopedia of Public Administration and Public Policy, Third Edition.
[4]
Thomas L. Saaty,et al.
Decision making with dependence and feedback : the analytic network process : the organization and prioritization of complexity
,
1996
.
[5]
Brian M. Kleiner,et al.
An integrative framework for measuring and evaluating information management performance
,
1997
.
[6]
Andy Neely,et al.
The Performance Prism: The Scorecard for Measuring and Managing Business Success
,
2002
.
[7]
M. Bohanec,et al.
The Analytic Hierarchy Process
,
2004
.
[8]
Guy Doumeingts,et al.
GRAI Grid Decisional Modelling
,
1998
.