A wide range of vibrating structures are characterized by variable structural dynamics resulting from changes in environmental and operational conditions, posing challenges in their identification and associated condition assessment. To tackle this issue, the present contribution introduces a stochastic modelingmethodology viaGaussian Process (GP) time-series models. In the presently introduced...

Since the earliest days of statistical process control, it has been recognized that it is essential to monitor both mean and variability and to trigger an alarm if either characteristic shows sign of a special cause. It is, however, possible to monitor both mean and variance in a single chart responsive to shifts in either. Traditionally, this has been done by using separate X̄ and S or R charts...

Today’s dynamic business environment demands from companies variable and flexible processes. Rather than imposing a single fixed process, process models must account for the variability of real-world business problems. Many companies are hierarchically organized with top-down decision making processes. On the one hand, company policies and legal regulations often require compliance with standar...

In complex organizations Business Processes tends to exist in different variants that typically share objectives and part of their structure. In recent years it has been recognized that the explicit modeling of variability can brings important benefits to organizations that can more easily reflect on their behavior and more efficiently structure their activities and processes. Particularly inte...

In this paper we present our findings in the area of process family architectures for e-business systems, described as variant-rich process models in the Business Process Modeling Notation (BPMN). We moreover address product derivation issues specific to process family engineering.

Operational time variability is one of the key parameters determining the average cycle time of lots. Many different sources of variability can be identified such as machine breakdowns, setup, and operator availability. However, an appropriate measure to quantify variability is missing. Measures such as overall equipment effectiveness (OEE) used in the semiconductor industry are entirely based ...

The increasing adoption of Process-Aware Information Systems, together with the reuse of process knowledge, has led to the emergence of process model repositories with large process families, i.e., collections of related process model variants. For managing such related model collections two types of approaches exist. While behavioral approaches take supersets of variants and derive a process v...

We consider a one-dimensional translation invariant point process of density one with uniformly bounded variance of the number NI of particles in any interval I . Despite this suppression of fluctuations we obtain a large deviation principle with rate function F(ρ) ' −L log Prob(ρ) for observing a macroscopic density profile ρ(x), x ∈ [0, 1], corresponding to the coarse-grained and rescaled den...