Data Management Requirements for PHM Implementation in SMEs

Abstract

For industrial companies, product quality is a major factor in sustainability, cost optimization and revenue maximization. To achieve these objectives, companies aim to improve the reliability and capability of their manufacturing processes and thus improve the quality of their products. As a result, organizations are increasingly collecting data that describe their production systems in order to better control them using a Prognostics and Health Management (PHM) approach. However, the data collected are generally redundant and incomplete, which affects the results of the analysis. Many studies have been addressed this problem and proposed a data management module for the implementation of the PHM in the industrial domain. Recall that the characteristics of the data and their management depend on the collection area. Therefore, small and medium-sized enterprises (SMEs) are rarely studied, neither in data management nor in the implementation of PHM approaches. Existing works assume that SMEs can be treated in the same way as a big corporation without taking into account the specifications and the needs of smaller businesses. In this paper, the specifications of SMEs are discussed in order to propose an adapted PHM process. This process is applied in a real case study and the first results are reported and discussed.