Monitoring and Control of an Efficient Industrial Performance Improvement within a MAUT Assessment Framework

Jacky Montmain (1)

1 LGI2P - Laboratoire de Génie Informatique et Ingénierie de Production

This article discusses the implementation of monitoring and control strategies that improve industrial performance. Industrial performance is presently defined in terms of multiple and multi-level criteria, which need to be synthesized for overall improvement purposes. The multi-attribute utility theory (MAUT) provides tools relevant to decision making within this specific context. According to this framework, overall company performance is expressed as the aggregate value of each elementary performance relative to each criterion, with the aggregation operator being a Choquet integral. The article then recalls previous studies regarding the design of efficient improvements within this same MAUT framework before focusing on an analysis of overall performance gain in terms of elementary performance improvements. The contribution of an aggregate performance gain criterion plays a key role in this study. Two improvement strategies will be examined and compared in light of this concept development. A case study has also been included to illustrate the proposals set forth in the article.

Mots clés: operations management; performance improvement; industrial performance; criterion contribution; efficiency; multi-criteria decision making

Domaines: Base de données [cs.DB]

Jacky Montmain. Monitoring and Control of an Efficient Industrial Performance Improvement within a MAUT Assessment Framework. Supply Chain Forum: An International Journal, 2011, 12 (4), pp.1. ⟨hal-00808594⟩