The authors propose a theoretical approach aiming at identifying stochastic variables which mainly affect system performance. The approach is firstly applied to a theoretical case of stochastic variables defined in [0,1] range, distributed according to Beta probability density function. A general conclusion achieved relies on the system attitude in smoothing or boosting stochastic variability of system performance, given stochastic variability of independent system variables. The attitude mainly relies on deterministic relationship between system performance and system variables. The approach is applied to an industrial case consisting of a production line of sterile syringes. The aim of the management was to identify work stations requiring improvements on maintenance performance in order to increase system availability. System availability has been evaluated by simulation. A simulation model coded by ARENA® was built up. Results outline the capability of the approach proposed in identifying most sensitive relationship between system availability and time to repair.
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|Titolo:||Simulating effects of a human-based maintenance on production lines: a case from the pharmaceutical industry|
|Data di pubblicazione:||2006|
|Nome del convegno:||International Conference on Maintenance Management (MM2006)|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|