In this paper the combinations of maximum entropy method and Bayesian inference for reliability assessment of deteriorating system is proposed. Due to various uncertainties, less data and incomplete information, system parameters usually cannot be determined precisely. These uncertainty parameters can be modeled by fuzzy sets theory and the Bayesian inference which have been proved to be useful...

In several manufacturing contexts including food industry, semiconductor manufacturing, and polymers forming, the product quality deteriorates during production by prolonged exposure to the air caused by excessive lead times. Buffers increase the system throughput while also increasing the production lead time, consequently affecting the product quality. This paper proposes a theory and methodo...

Abstract: A condition based preventive maintenance (CBPM) policy is proposed for a continuously operating device whose condition deteriorates with time in service. The model incorporates both deterioration and random failures. Deterioration is modeled as discrete states process. The system undergoes random inspections to know the condition, mean time between inspections are exponentially distri...

This paper discusses the issue of integrating production planning and preventive maintenance in manufacturing production systems. In particular, it tackles the problem of integrating production and preventive maintenance in a system composed of parallel failure-prone production lines. It is assumed that when a production line fails, a minimal repair is carried out to restore it to an ‘as-bad-as...

In this study, we propose a generalized replacement model for a deteriorating system with failures that could only be detected through inspection work. The system is assumed to have two types of failures and is replaced at the Nth type I failure (minor failure) or first type II failure (catastrophic failure) or at the working age T, depending on whichever occurs first. The probability of type I...

The traditional production planning model based upon the famous linear programming formulation has been well documented. However, the integration of preventive maintenance planning in the same model is a recent problem. This paper proposes an extended linear programming model as a hybrid approach for computing the optimum production plan with minimum total cost. The dual objective problem of pr...

BACKGROUND Rapid response systems (RRSs) aim to identify and rescue hospitalized patients whose condition is deteriorating before respiratory or cardiac arrest occurs. Previous studies of RRS implementation have shown variable effectiveness, which may be attributable in part to barriers preventing staff from activating the system. OBJECTIVE To proactively identify barriers to calling for urge...