Background: Existing evidence with regards to the organizational failure and turnaround are derived from the private sector. There is few corresponding review of the empirical evidence in the public sector. This review aimed at providing a summary of the research investigating the above items in the public sector.    Methods: A search strategy was developed to iden...

We consider Markov Modulated Bernoulli Processes (MMBP) where the success probability of a Bernoulli process evolves over time according to a Markov chain. The MMBP is applied in reliability modeling where systems and components function in a randomly changing environment. Some of these applications include, but are not limited to, reliability assessment in power systems that are subject to flu...

The modeling of dependent failures, specifically Common Cause Failures (CCFs), is one of the most important topics in Probabilistic Risk Analysis (PRA). Currently, CCFs are treated using parametric modeling, which is based on historical failure events. Instead of utilizing the existing data-driven approach, this paper proposes the concept of physics-based CCF modeling, which refers to the incor...

We consider the problem of controlling a two-server Markovian queueing system with heterogeneous servers. The servers are differentiated by their service rates and reliability attributes (i.e., the slower server is perfectly reliable while the faster server is subject to random failures). The aim is to dynamically route customers at arrival, service completion, server failure, and server repair...

The ability to compensate for previous activities, often in the case of failure or exceptional events, is an important feature of long-running business transactions. In this paper, we present several extensions to existing notions of compensation for business transactions. The extensions are described using a business process modeling language called StAC but are also placed in the context of I...

Model uncertainty is an important factor hindering reliability of any modelbased failure detection and identification (FDI) method. Use of joint torque sensing reduces significantly the complexity of robot modeling by excluding hardly-identifiable link dynamics from overall manipulator dynamics. Application of such model in the proposed FDI filter increases reliability of fault monitoring again...

There is a clear link between safety and reliability in system design and operation. So the knowledge about sources of failure, their physical consequence related to plant operation and the frequency of effects (incident consequence) is of great value for improvement. Next, the selection of best improvement alternative should be justified by complete life cycle cost benefits. In this contributi...

Software Reliability Model is categorized into two, one is static model and the other one is dynamic model. Dynamic models observe the temporary behavior of debugging process during testing phase. In Static Models, modeling and analysis of program logic is done on the same code. A Model which describes about error detection in software Reliability is called Software Reliability Growth Model. Th...

WE INTRODUCE A COMPREHENSIVE HYBRID FAILURE MODEL FOR SYNCHRONOUS DISTRIBUTED SYSTEMS, WHICH EXTENDS A CONVENTIONAL HYBRID PROCESS FAILURE MODEL BY ADDING COMMUNICATION FAILURES: Every process in the system is allowed to commit up to fℓs send link failures and experience up to fℓr receive link failures per round here, without being considered faulty; up to some fℓsa≤fℓs and fℓra≤fℓr among those...

The purpose of this study was to determine implant survival rates by means of life table analyses for a cohort of patients not part of a prospective efficacy trial and treated by practitioners at varying experience levels. Prognostic variables associated with implant failure were identified by means of proportional hazards models and advanced statistical methods that account for patient effects...