Development of a maintenance performance measurement framework—using the analytic network process (ANP) for maintenance performance indicator selection

Abstract The competitiveness and performance of manufacturing companies depend on the availability, reliability and productivity of their production equipment. This recognition has led to a drastic change of perception on maintenance over the past decades, evolving from a “necessary evil” to a “value adding” activity. In order to ensure a good performance of the production plant, maintenance managers need a good overview of maintenance processes and achievements. This can be attained by a rigorously defined maintenance performance measurement (MPM) system and maintenance performance indicators (MPI). Many performance measurement frameworks and indicators are presented in literature; however some major issues remain unresolved. Many papers discuss the development of generic maintenance performance frameworks and corresponding indicators; however none of the publications considers the selection of relevant MPI for a specific business context and consequently in relation with the company's maintenance objectives. Moreover, the link with the manufacturing and corporate strategy should be established in order to establish an MPM system useable throughout the entire company. In this way, maintenance performance measurement should be defined on all management levels (i.e. strategic, tactical and operational). To overcome these problems, the objective of this paper is to develop an MPM framework that aligns the maintenance objectives on all management levels with the relevant MPI used. In order to assist the maintenance manager on selection of the relevant MPI, an analytic network process (ANP) model and methodology is presented which is based on the designed MPM framework. The methodology is applied to several case studies considering companies from different types of industry. The results illustrate the applicability and capability of the presented MPM framework and ANP model to assist maintenance managers in the definition and selection of MPI in line with the maintenance and corporate objectives and strategy. The ANP approach enables the decision maker to better understand the complex relationships in the decision problem, which improves the reliability of the corresponding decisions.

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