Modelling maintenance effects on manufacturing equipment performance: results from simulation analysis

Abstract

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Hoshin kanri: a strategic approach to maintenance performance management

“…For instance, the maintenance objective -improve repair quality‖ may be represented by several quantitative KPI's, e.g. imperfect repair models [21]. However, such models may not be easily understood by maintenance practitioners.…”

A novel model for the integrated planning of part quality inspection and preventive maintenance in a linear-deteriorating serial multi-stage manufacturing system

“…Maintenance as an important tool for the qualityassurance program, has a strong effect on the optimum inspection strategy. The British Standard Institution defines maintenance as "a combination of all technical and associated administrative activities needed to maintain equipment, installations and other physical assets in the appropriate operating condition or bring them back to this condition" [12]. Maintenance activities in MSs are categorized according to the time that they are activated in.…”

A Simulation Environment to Support Prognostics and Health Management in Smart Manufacturing Systems

“…When it comes to developing the business case for implementing PHM in smart manufacturing systems, the literature could benefit from a formal presentation of a simulation method with a general input-output structure capable of considering new maintenance policies employing advanced PHM techniques such as considering machine parameters as decision variables. Traditional reliability literature does provide simulation models for comparing maintenance policies [7], but can be augmented by reconciling their models with PHM techniques, modeling hierarchically, and considering both cost and OEE metrics for analysis.…”

“…Data such as MTBF should then be fitted to a distribution; this is easily done by many software packages such as MATLAB or R. Chapter 4 will most often use the Weibull distribution for processing, failure, and repair times. The Weibull is the most widely used distribution in reliability research [7]. Its probability density function is represented as:…”

“…There are methods in existence which use an input-output simulation structure, but most are only built for comparing current operations, excluding maintenance decision support [28] [29]. If manufacturing maintenance is analyzed, such as in [7], there is lack of a defined simulation method and consideration of PHM specific attributes like cost and the system hierarchy. A table of attributes that illustrates existing work in SMS maintenance simulation is shown in Figure 4.…”