ABSTRACT
The paper describes an operative algorithm to guide decision makers in identifying and selecting the best maintenances solution strategy to follow when problems occur. The aim of the algorithm, inspired by the Theory of Inventive Problem Solving, and specifically by the body of knowledge of its further development entitled OTSM-TRIZ, is to address the identification of problems using Root Cause Analysis (RCA) techniques for a structured reasoning approach: a six steps procedure has been formulated to systematically structure the problem context using RCA, generate partials solutions and assess the potential effects of each solution in the maintenances strategy. A case study has been developed, to test the algorithm effectiveness and usability, in collaboration with the Chilean company ARAUCO S.A., one of the major forestry companies in the world. The results demonstrate the efficacy of the algorithm to support decision makers in correctly implementing the identified problem solutions within the company.
