Business Intelligence and Obsolescence Engineering: Prediction, Performance and Innovation, Linked Destinies
Résumé
Abstract This paper establishes the process in which resilience leads to obsolescence requires a close link between information literacy in one’s sector (industrial and economic) and the ability to anticipate changes (technical and sectoral). Based on an industrial case study, in the automotive manufacturing sector, it is intended to be an engineering analysis in industrial technology with the aim of demonstrating that there is a new axis of reflection, allowing a better performance of the company. This research applies to the life cycles that we have defined and which are sections of the global life cycle. Links are demonstrated between the economic risks to the different types of obsolescence. This article addresses a new research axis in business intelligence, for the benefit of a better technological and industrial management, but also, a new source of data collection to predict market developments, support decision making and the implementation of strategic development plans.