Decision aiding in manufacturing improvement approaches
Résumé
In an increasingly complex environment, faced with an open market and tough competition, the industrial company must excel in its production function. In this order, multicriteria objectives are defined coherently with the company's strategy and performance improvements are launched continuously to reach these objectives. The steps of improvement approaches generally implemented use the traditional feedback loop principle, in accordance with the Deming wheel (Plan-Do-Check-Act). In this context, the definition of performance indicators which give pieces of information about the objectives reaching degree during the all the improvement approach duration is a key point . Moreover in order to globally control the improvement approach, it is useful for the decision-makers DMs to get an overall expression synthesizing the elementary ones, for instance to choose or rank the potential improvement actions. So MCDA methods have been considered which define preference model in order to express coherently the different performance expressions. The proposed framework is based on the MACBETH methodology which allows the definition of consistent performance expressions according to interval scales. It has been adapted at the 2-additive Choquet Integral to take the criteria interaction into account. It will be applied at several companies involved in different improvement approaches (Quality and Environmental Plan, Lean Manufacturing, Sustainable development, Supply Chain Management). In complement, the ELECTRE method has also be considered to make an improvement action hierarchy in a Business turn-over increase approach