A multi-criteria model for auditing a Predictive Maintenance Programme |
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Authors: | Carlos A Bana e Costa Mónica Duarte Oliveira |
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Institution: | a CEG-IST, Centre for Management Studies of Instituto Superior Técnico (Technical University of Lisbon), Avenida Rovisco Pais, 1049-001 Lisbon, Portugal b Technical School of Industrial Engineering (University of Castilla-La Mancha), Avda. Camilo José Cela s/n, 13071 Ciudad Real, Spain |
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Abstract: | Auditing tools can play a key role in the continuous improvement of maintenance policies, in particular to enhance predictive maintenance (PM). This paper proposes a multi-criteria model for auditing a Predictive Maintenance Programme (PMP) developed and implemented in the General Hospital of Ciudad Real (GHCR) in Spain. The model has a two-level structure, with top level auditing areas specified by second level auditing criteria on which the performance of the PMP should be appraised. This structure resulted from the analysis and discussion of an internal questionnaire to the management, technical and consulting staff of GHCR. This also guided the association of a performance scale with each criterion, describing several reference levels of accomplishment. Using the MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique) approach, a hierarchical additive value model was constructed, with criteria weights and value scales derived from staff judgments of comparison of different reference levels and profiles of performance. This model enables managers to measure the performance of the PMP and its added value for the hospital, not only against each audit criterion individually, but also on each area and in overall terms. Integrated in a management “tableau de bord”, the model outputs permit the identification of PMP deficiencies requiring urgent intervention and corrective measures for its continuous improvement. |
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Keywords: | Multiple criteria analysis Auditing Maintenance OR in health services MACBETH |
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