Intelligent Solution for Associating Problems with Lessons Learned Used in Automotive Manufacturing

Abstract

The paper presents a solution implemented in industry (automotive) through which a database consisting of accumulated lessons learned is consulted and updated with the current problem. This is done using an intelligent algorithm with deep learning - artificial neural networks (DL-ANN). The solution falls within the strategies of implementing Industry 4.0 technologies in the enterprise: the use of intelligent technologies in the industry. The use of database of lessons learned to identify certain current problems and the solutions to solve or reduce their impact is a strategy frequently found in enterprises. The challenge in using this strategy was related to the way the problems are formulated by the technical team as well as the possible linguistic differences that occur between the different branches of the factory. Thus, in several situations, although the lessons learned database contained the respective problem, it could not be identified correctly or even at all. The solution proposed in this article solves the identification problems through an intelligent problem recognition in the database with lessons learned. The paper also presents a case study where the solution was applied.