Process Models
Corrective Evolution of Adaptable Process Models
... evolved process model influences the performance of the ...a process model used in a running system, allow- ing corrections to be either strict, relaxed, or relaxed with ...which process ...
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Towards Unsupervised Detection of Process Models in Healthcare
... In complex organizational environments such as healthcare the details of specific events are often recorded with a high degree of granularity. High granularity produces complex process models which can be ...
6
A Content Specification for Business Process Models
... The content specification proposed here can be used as a framework for a detailed analysis of business process models, based on the content and the aspects of a business process they mod[r] ...
10
Analysis of Process Models: A Fuzzy Logic Approach
... film-deposition process shown in ...the process of manufacture a ...of process variables available, a simulation technique can be used to perform the analysis, or, knowing the reliability and the ...
9
Liveness and Reachability Analysis of BPMN Process Models
... business process. There- fore, business process models are considered essential for the analysis and design of process aware information systems, organizational doc- umentation and ...
13
Semantic annotation of business process models
... process models. The core of the proposal is the enrichment of process models with semantic annotations from domain ontologies and the formalization of both structural and domain information in ...
310
The presentation of business process models
... It has become common practice for businesses encompassing all industries to utilize a tool or technique to capture the data and flow of processes running through a company. As companies grow and the volume and complexity ...
135
Probability gains expected for renewal process models
... Kagan and Knopoff (1987) introduced the information content, which is the base 2 logarithm of the likelihood ra- tio of a particular model to the Poisson model. By divid- ing the information content by the number of ...
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Automatically generating computer simulation models from business process models
... In an increasingly competitive market it is very important that businesses are able to react to their environment and the competition within that market place. In modern business it is no longer viable to let business ...
141
Extending Business Process Models with Appreciation
... State transitions (depicted by the arrows between states) are triggered when their corresponding triggering conditions are satisfied. The triggering conditions are modeled with “condition[guard]/effect” statements. The ...
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Generic Inference in Latent Gaussian Process Models
... As described in §4, our proposed variational inference method can be applied when using general mixtures of Gaussian distributions ( m o g s), i.e. ∀K ≥ 1 and without imposing constraints on the corresponding covariances ...
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Bayesian Process Networks: An approach to systemic process risk analysis by mapping process models onto Bayesian networks
... a process model onto a Bayesian network resulting in a Bayesian Process Network, which will be applied to process risk ...Event-‐driven Process Chains, it is demonstrated how a process ...
15
Descriptive business process models at run time
... conforming to a general format capturing main features of the different source formats. In the case of the DPDF the global, standardised events conform to the prominent eX- tensible Event Stream (XES) [90, 258] format ...
278
A Review of Conventional SDLC Process Models
... software models are characterized by linear nature, that is, the various phases of SDLC are carried out sequentially 2 ...traditional models are: ...
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The development of process models : executive summary
... Figure 12F summarises the process control model as utilised in the Rolls Royce Aerospace Group giving various examples of the types of inputs which characterise the various individual pr[r] ...
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Point process based models for rainfall.
... spatial models, such as the ones described above, were applied to air mass thunderstorm rainfall by Eagleson et ...three models are fitted to each storm ...two models with exponential type spread ...
135
Institutionalization of Process Performance Models in IT organization
... of process performance models and should use it to pro- actively manage the ...developed process performance models with respect to the project objectives and quality and process ...
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A. Formal Verification using Model Checking
... software process verification is the variety of the sub-system ...design models described in semi-formal modeling language to be an abstract model expressed in the formal modelling ...business ...
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Spike and Slab Dirichlet Process Mixture Models
... Clearly, by allowing the values of parameters to be exactly 0, SS-DP mixture models simultaneously incor- porate the uncertainty of component-specific parameter space. It is worth noting that in many applications, ...
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An Autoregressive Integrated Moving Average Models For Process Output And Forecasting
... This is the use of data and any information on how the series was generated, to suggest a subclass of parsimonious models worthy to be entertained. In achieving this time plot autocorrelation function, ...
6