Changing States of Multistage Process Chains

Generally, a process describes a change of state of some kind (state transformation). This state change occurs from an initial state to a concluding state. Here, the authors take a step back and take a holistic look at generic processes and process sequences from a state perspective. The novel persp...

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Main Authors: Thorsten Wuest, Christopher Irgens, Klaus-Dieter Thoben
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Journal of Engineering
Online Access:http://dx.doi.org/10.1155/2016/8569694
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author Thorsten Wuest
Christopher Irgens
Klaus-Dieter Thoben
author_facet Thorsten Wuest
Christopher Irgens
Klaus-Dieter Thoben
author_sort Thorsten Wuest
collection DOAJ
description Generally, a process describes a change of state of some kind (state transformation). This state change occurs from an initial state to a concluding state. Here, the authors take a step back and take a holistic look at generic processes and process sequences from a state perspective. The novel perspective this concept introduces is that the processes and their parameters are not the priority; they are rather included in the analysis by implication. A supervised machine learning based feature ranking method is used to identify and rank relevant state characteristics and thereby the processes’ inter- and intrarelationships. This is elaborated with simplified examples of possible applications from different domains to make the theoretical concept and results more feasible for readers from varying domains. The presented concept allows for a holistic description and analysis of complex, multistage processes sequences. This stands especially true for process chains where interrelations between processes and states, processes and processes, or states and states are not fully understood, thus where there is a lack of knowledge regarding causations, in dynamic, complex, and high-dimensional environments.
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institution Kabale University
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spelling doaj-art-ed89ce59ff624e9391fc8df327efd47e2025-02-03T05:51:20ZengWileyJournal of Engineering2314-49042314-49122016-01-01201610.1155/2016/85696948569694Changing States of Multistage Process ChainsThorsten Wuest0Christopher Irgens1Klaus-Dieter Thoben2West Virginia University, Morgantown, WV, USAUniversity of Strathclyde, Glasgow G1 1XQ, UKUniversity of Bremen, 28359 Bremen, GermanyGenerally, a process describes a change of state of some kind (state transformation). This state change occurs from an initial state to a concluding state. Here, the authors take a step back and take a holistic look at generic processes and process sequences from a state perspective. The novel perspective this concept introduces is that the processes and their parameters are not the priority; they are rather included in the analysis by implication. A supervised machine learning based feature ranking method is used to identify and rank relevant state characteristics and thereby the processes’ inter- and intrarelationships. This is elaborated with simplified examples of possible applications from different domains to make the theoretical concept and results more feasible for readers from varying domains. The presented concept allows for a holistic description and analysis of complex, multistage processes sequences. This stands especially true for process chains where interrelations between processes and states, processes and processes, or states and states are not fully understood, thus where there is a lack of knowledge regarding causations, in dynamic, complex, and high-dimensional environments.http://dx.doi.org/10.1155/2016/8569694
spellingShingle Thorsten Wuest
Christopher Irgens
Klaus-Dieter Thoben
Changing States of Multistage Process Chains
Journal of Engineering
title Changing States of Multistage Process Chains
title_full Changing States of Multistage Process Chains
title_fullStr Changing States of Multistage Process Chains
title_full_unstemmed Changing States of Multistage Process Chains
title_short Changing States of Multistage Process Chains
title_sort changing states of multistage process chains
url http://dx.doi.org/10.1155/2016/8569694
work_keys_str_mv AT thorstenwuest changingstatesofmultistageprocesschains
AT christopherirgens changingstatesofmultistageprocesschains
AT klausdieterthoben changingstatesofmultistageprocesschains