Abstract
Maintenance aims to sustain the manufacturing process by ensuring that the production tools are well managed. However, modern production means are more automated and therefore more complex, so they require a performing maintenance for which planning and implementation are increasingly difficult. This paper, therefore, emphasizes the elaboration of a maintenance performance measurement system. Therefore, for an appropriate and reliable performance evaluation, we adopt a multi-level multi-criteria approach where every criterion influencing the maintenance performance either indirectly or directly are specified. Thereafter, indicators for the specified criteria would be measured using fuzzy logic to overcome limitations due to lack of available resources and data. For a global maintenance measurement, the elementary measurements will be aggregated into a total measurement through a multiple-criteria decision-making method such as MACBETH.
Highlights
To remain in a competitive position, the manufacturing systems must be more productive, effective and economical [1]
We propose that the fuzzy logic is used to quantify this elementary performance
The performance measurement system of the maintenance function introduced in this paper is elaborated through three sections
Summary
To remain in a competitive position, the manufacturing systems must be more productive, effective and economical [1]. The complexity of these manufacturing systems, the large diversity of manufactured products and the uncertainty of the production environment are behind critical dysfunctions These malfunctions and failures negatively affect production capacity, production quality and cost, as well as potential health and safety risks and accidents to personnel, plants and the environment [2]. This is the reason behind maintenance, which is no more restricted to repair facilities, but rather involves preventing their dysfunction [3,4]. In an environment characterized by cost, time, resources and skill limitations, measuring the elementary performance is a big issue. The suggested approach allows measuring the global performance and the local performances of the maintenance, as well as defining the necessary actions for a continuous maintenance performance enhancement
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