Topic
Process modeling
About: Process modeling is a research topic. Over the lifetime, 11639 publications have been published within this topic receiving 223996 citations. The topic is also known as: process simulation.
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TL;DR: Different types of process models are reviewed, it isclude that soil and nutritional limitations are the most difficult model components in predicting growth responses using process models.
Abstract: . Forest process models are mathematical representations of biological systems thatincorporate our understanding of physiological and ecological mechanisms into predictive algorithms.These models were originally designed and used for research purposes, but are being developed foruse in practical forest management. Process models designed for research typically requirecomplicated and intensive data, whereas models designed for management strive to use simpler andmore readily available data and provide predictions useful for forest managers. In this article, we reviewsome different types of process models, examine their requirements and utility in research and forestmanagement, and discuss research priority areas that will increase their accuracy and application. Weconclude that soil and nutritional limitations are the most difficult model components in predictinggrowth responses using process models. F OR . S CI . 47(1):2–8.Key Words: Scaling, forest complexity, forest modeling approaches, modeling challenges.
137 citations
TL;DR: In this article, the authors describe the capabilities of the PROCESS this article code, which is used to assess the engineering and economic viability of a hypothetical fusion power station using simple models of all parts of a reactor system, from the basic plasma physics to the generator.
137 citations
25 Nov 2007
TL;DR: The main idea is the introduction of a semantic layer in which the process instances are interpreted according to an independently designed set of controls, which ensures separation of business and control objectives in a Business Process.
Abstract: In this paper we present a novel approach for the modeling and implementation of Internal Controls in Business Processes. The approach is based on the formal modeling of Internal Controls in the validation process under the usage of frequently recurring control patterns. The main idea is the introduction of a semantic layer in which the process instances are interpreted according to an independently designed set of controls. This ensures separation of business and control objectives in a Business Process. A prototypical implementation of the approach is presented.
137 citations
TL;DR: This paper compares the success of university students in interpreting business process descriptions, for an established graphical notation (BPMN) and for an alternative textual notation (based on written use-cases)
136 citations
13 Sep 2010
TL;DR: In this article, a necessary and sufficient condition for an unstructured process model to have an equivalent structured model under fully concurrent bisimulation, as well as a complete structuring method is defined.
Abstract: This paper addresses the problem of transforming a process model with an arbitrary topology into an equivalent well-structured process model. While this problem has received significant attention, there is still no full characterization of the class of unstructured process models that can be transformed into well-structured ones, nor an automated method to structure any process model that belongs to this class. This paper fills this gap in the context of acyclic process models. The paper defines a necessary and sufficient condition for an unstructured process model to have an equivalent structured model under fully concurrent bisimulation, as well as a complete structuring method.
135 citations