Tacit knowledge and a multi-method approach in Asset Management

Abstract

This paper has two main objectives. The first one is to reflect on the validity of data in analysis and projections that underpin the engineering asset management of organizations, considering, on the one hand, a certain resistance or even inadequate use of data and information of a subjective nature and; on the other hand, a consolidated reliance on quantitative approaches and decisions based on data series. The second objective is to contextualize the applicability of combining qualitative data based on experts’ experience and on the tacit knowledge built in organizations, with approaches based essentially on quantitative data, according to the data availability and the decision scenario over the asset life cycle. We present two application of an approach combining quali and quanti data. One example interrelates Statistics with Psychology and the other combines elicitated data about asset indicators with parameters deterministically calculated. Both applications aiming at providing more realistic indicators and supporting the Asset Management process to make more assertive decisions.