In today’s competitive market, production costs, lead time and optimal machine utilization are crucial values for companies. Since machine or process breakdowns severely limit their effectiveness, methods are needed to predict products’ life expectancy. Furthermore, continuous assessment and prediction of product’s performance could also enable a collaborative product life-cycle management in w...

The failure of electronic components is one of the relevant reasons for breakdowns in the automotive domain today. The number of breakdowns that could be traced back to bugs in the electronic system has increased to 55 percent. Analysts expect a further increase of electronically induced breakdowns of up to 60 percent in 2004 [1]. However, sustainable innovations in the automotive industry are ...

We study a continuous-time game of strategic experimentation in which the players try to assess the failure rate of some new equipment or technology. Breakdowns occur at the jump times of a Poisson process whose unknown intensity is either high or low. In marked contrast to existing models, we find that the cooperative value function does not exhibit smooth pasting at the efficient cut-off beli...

Rolling element bearings (REBs) are vital parts of rotating machinery across various industries. For preventing breakdowns and damages during operation, it is crucial to establish appropriate techniques for condition monitoring fault diagnostics these bearings. The development machine learning (ML) brings a new way diagnosing the rolling In current work, ML models, namely, Support Vector Machin...

In this paper we consider the way in which two representational forms, scenarios and design breakdowns, which have emerged in the tradition of participatory design are relevant within the recent commercial emphasis on rapid application development (RAD). RAD is a contingent approach to interactive software development that is characterised by large amounts of user involvement, incremental proto...

BACKGROUND There is increasing recognition that patients have critical insights into care experiences, including breakdowns in care. Harnessing patient perspectives for hospital improvement requires an in-depth understanding of the types of breakdowns patients identify and the impact of these events. METHODS We interviewed a broad sample of patients during hospitalization and postdischarge to...

Number of breakdowns experienced by a machinery is a highly under-dispersed count random variable and its value can be attributed to the factors related to the mechanical input and output of that machinery. Analyzing such under-dispersed count observations as a function of the explanatory factors has been a challenging problem. In this paper, we aim at estimating the effects of various factors ...