Modern probability theory studies chance processes for which the knowledge of previous outcomes influence predictions for future experiments. In principle, when a sequence of chance experiments, all of the past outcomes could influence the predictions for the next experiment. In Markov chain type of chance, the outcome of a given experiment can affect the outcome of the next experiment. The sys...

Managers are constantly being told that the quality of data is insufficient for producing reliable results from business models. Reliability analysis is no exception. In this paper, the authors show that it is possible to retrospectively improve the quality of failure histories stored in computerised maintenance management systems (CMMS). A tool was developed to help reliability professionals a...

BACKGROUND Risk management in health care systems applies to all hospital employees and directors as they deal with human life and emergency routines. There is a constant need to decrease risk and increase patient safety in the hospital environment. The purpose of this article is to review the laboratory testing procedures for parathyroid hormone and adrenocorticotropic hormone (which are chara...

In the present investigation, we deal with the reliability characteristics of a repairable system consisting of two independent operating units, by incorporating the coverage factor. The probability of the successful detection, location and recovery from a failure is known as the coverage probability. The reboot delay and common cause shock failure are also considered. The times to failure of t...

The simultaneous generation of steam and power, which is commonly referred to as cogeneration, has been adopted by many sugar mills in India to overcome the power shortage. It becomes an increasingly important source of income for sugar factories. The problems faced by the sugar mill industry arise mainly due to failures of either the complete system or some specific components during the cogen...

In this paper a new method for mapping fault tree into fuzzy algorithms is introduced. This method is based on the minimal cut sets of a fault tree. This method is characterized by its one-to-one mapping from fault tree (FT) to fuzzy algorithm (FA) and vice versa. So it is consider a canonical method to map FTs into FA. Fault tree analysis (FTA) is a risk analysis technique to assess likelihood...

The aim of this paper is to show the application of Failure Mode Effect Analysis (FMEA) for efficient and cost-effective manufacturing. Companies need better economic gains from enhanced production, but downtime affects this paradigm. Bair Dar Textile Share Company (BDTSC) is no exception. The looming section of the case company faces on average 38.69% of downtime from the total production time...

The 4-leg inverter can adjust the load current or output voltage even under unbalanced conditions, but it is known that additional switch arm to 3-leg increase overall cost and failure rate. This paper aims analyze rate mean time between failures (MTBF) of inverters using part count analysis (PCA) fault-tree (FTA), compare price inverters. FTA rate, including type, number connection status circ...

A fuzzy model for failure rate with the consideration of the effects of uncertain factors in distribution reliability evaluation is presented. The possibility and credibility distribution analyzed on the basis of sample datum are used for quantifying effects of the uncertainty done to failure rate. Mathematically, the failure rate can be obtained in the interval integration. Moreover, aiming to...

prevention of medication errors in neonatal intensive care units (nicus) is of paramount importance due to age-specific and physiological conditions of neonates. this study aimed to evaluate the risk of medication prescription and administration via failure mode and effects analysis (fmea), which was carried out at the research and medical teaching center of imam reza hospital in mashhad, iran....