Title: Optimising industrial performance improvement within a quantitative multi-criteria aggregation framework

Authors: L. Berrah, J. Montmain, G. Mauris, V. Cliville

Addresses: LISTIC, Polytech Annecy-Chambery, BP 80439, F-74944 Annecy Le Vieux, France. ' LGI2P, Ecole des Mines d'Ales, Site EERIE, Parc Scientifique G. Besse, F-30035 Nimes, France. ' LISTIC, Polytech Annecy-Chambery, BP 80439, F-74944 Annecy Le Vieux, France. ' LISTIC, Polytech Annecy-Chambery, BP 80439, F-74944 Annecy Le Vieux, France

Abstract: The major industrial control purpose is the reaching of the expected performances. In this sense, improvement processes are continuously carried out in order to define the right actions with regard to the objectives achievement. Thus, in order to better monitor the performance continuous improvement process, we consider a quantitative model for performance assessment. The industrial performance being multi-criteria, the proposed model is thus based on the one hand, on the MACBETH method to express quantitatively elementary performances from qualitative expert pair-wise comparisons and, on the other hand, on the Choquet integral to express the overall performance according to subordination and transverse interactions between the elementary performances. Then, the main focus concerns the decision-maker|s requirements for optimising the improvement of the overall performance versus the allocated resources. In this view, we propose useful pieces of information first for diagnosis, then for overall performance improvement optimisation versus the costs of elementary performance improvements. Finally, the proposed approach is applied to an industrial case looking for optimising the improvement of the lean objective satisfaction related to the throughput time of hydraulic component manufacturing.

Keywords: industrial performance; performance indicators; Choquet integral; performance improvement; multi-criteria aggregation; decision support systems; DSS; MACBETH methodology; multi-criteria optimisation; industrial case study; mathematical programming; data analysis; throughput time; hydraulic components; component manufacturing.

DOI: 10.1504/IJDATS.2011.038805

International Journal of Data Analysis Techniques and Strategies, 2011 Vol.3 No.1, pp.42 - 65

Published online: 29 Nov 2014 *

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