Abstract
Although medical equipment maintenance has been carefully managed for years, very few in-depth studies have been conducted to evaluate the effectiveness and efficiency of these implemented preventive maintenance strategies, especially after the debate about the credibility of manufacturer’s recommendations has increased in the clinical engineering community. Facing the dilemma of merely following manufactures maintenance manual or establishing an evidence-based maintenance, medical equipment maintenance could have exploited an advanced area in operations research which is maintenance optimization research. In this paper, we review and examine carefully the status of application oriented research on preventive maintenance optimization of medical devices. This study addresses preventive healthcare maintenance with a focus on factors influencing the maintenance decision making. The analysis is structured by defining different aspects necessary to construct a maintenance optimization model. We conclusively propose directions to develop suitable tools for better healthcare maintenance management.
Highlights
In the present competitive market, where companies worldwide are tightening their economical belts to diminish costs while assuring high services quality and safety, plant dependability key performance indicators have become an area in which to center initiatives [1]
Since not much has been presented in this field, the study was broadened to take account of other research papers which have demonstrated to a large extent the success of advanced maintenance optimization models on other industries
We deeply analyzed ten aspects determining a model of maintenance optimization problem: maintenance policies and actions, maintenance objectives, maintenance effectiveness, modeling deterioration, system information and configuration, data sources, and optimization techniques
Summary
In the present competitive market, where companies worldwide are tightening their economical belts to diminish costs while assuring high services quality and safety, plant dependability key performance indicators have become an area in which to center initiatives [1]. Companies realize that their competitiveness, performance, and their future are sturdily linked to the effectiveness and efficiency of maintenance management [2, 3]. This recognition brings about a radical change of maintenance perception from a “necessary evil” to an “investment opportunity” to be optimized. This study reviews various important aspects of medical equipment maintenance, analyses different research insufficiencies found in healthcare maintenance optimization modeling literature, and proposes directions to develop suitable tools for better medical devices management. The extracted collection includes articles published between 2000 and 2015, which spans various aspects: maintenance optimization modeling, empirical studies, and risk-based prioritization of medical equipment; see Figure 1 and the Appendix.
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