2008
DOI: 10.1007/s10845-008-0111-7
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Modeling production configuration using nested colored object-oriented Petri-nets with changeable structures

Abstract: Configuring production processes based on process platforms has been well recognized as an effective means for companies to provide product variety while maintaining mass production efficiency. The production processes of product families involve diverse variations in manufacturing and assembly processes resulted from a large variety of component parts and assemblies. This paper develops a multilevel system of nested colored object-oriented Petri nets with changeable structures to model the configuration of pr… Show more

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Cited by 13 publications
(5 citation statements)
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References 25 publications
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“…Definition 1 (Workflow net, WF-net) (Shojafar et al 2015;Pla et al 2014;Du et al 2011Du et al , 2014Zhang and Jiao 2009;Li et al 2015Li et al , 2016: A PN is called a WF-net only if :…”
Section: Data-aware Workflow Processesmentioning
confidence: 99%
“…Definition 1 (Workflow net, WF-net) (Shojafar et al 2015;Pla et al 2014;Du et al 2011Du et al , 2014Zhang and Jiao 2009;Li et al 2015Li et al , 2016: A PN is called a WF-net only if :…”
Section: Data-aware Workflow Processesmentioning
confidence: 99%
“…Petri nets have been widely used in modeling the process flow in manufacturing systems [2]. One of the reasons is that the places and transitions of a Petri net can be used to describe the events and activities occurring in a manufacturing system.…”
Section: Related Research Workmentioning
confidence: 99%
“…Shunji and Mituhiko (2008) use a branch-and-bound algorithm with Lagrangian relaxation to minimize total tardiness on identical parallel machines. The Petri Net (PN) approach and the modified PN are developed to study coordination approach for multi-agent systems (Hsieh 2009;Zhang and Jiao 2009). David et al (2006) proposed single and multi-objective evolutionary algorithms for the coordination of serial manufacturing operations.…”
Section: Literature Reviewmentioning
confidence: 99%