Performance evaluation of an auction-based manufacturing system using coloured Petri nets

A method for assessing the impact of product development on the company

“…We have made an inventory of the tools and methods that estimate costs during the design phase, such as the parameter methods (Department of Defense 1999), Feature Based Costing (Wierda 1991, Ou-Yang andLin 1997), Activity Based Costing (Cokins 1998), estimates based on neural networks (Smith andMason 1997, Bode 1998) and analogous methods called case-based reasoning (Aamodt and Plaza 1994). Product design solutions or even production system solutions can be evaluated using other tools that are not based on a speci®c criterion (Senechal and Tahon 1997, Almeida et al 1998, Aurand et al 1998, Eversheim et al 1998, Borenstein 2000, Nandula and Dutta 2000, Chen et al 2001, Zimmermann et al 2001. These assessment methods are often speci®c to a few stages in the development cycle and do not deal with the whole process.…”

“…We need a relatively simple, e cient model to carry out the simulation. The Petri networks, broadly used in the ®eld of evaluating performance, especially productions systems (Jiang et al 2000, Nandula and Dutta 2000, Zimmermann et al 2001) met this requirement and that is why we have opted for them. The`modellization' step, ®rst of all involves building the architecture of the network and then interpreting it, so as to make a simulation model, called a dynamic model (®gure 6).…”

Nested coloured timed Petri nets for production configuration of product families

“…Chin et al (2006) put forward methodologies based on integrated definition language and CPNs for modelling and simulating complicated manufacturing processes. Researchers, e.g., Ravi Raju and Krishnaiah Chetty (1993), Jiang et al (2000), Nandula and Dutta (2000), Dotoli and Fanti (2004), to name but a few, also apply CPNs and TPNs to manufacturing systems modelling, analysis and control. An observation on available PN models is that most researchers have adopted the basic ideas of different extensions of classic PNs and further extended them to accommodate the different modelling requirements of their own problem domains.…”

Agent-based manufacturing control based on distributed bid selection and publish-subscribe messaging: a simulation case study

“…The multi-agent manufacturing system in our case study can be regarded as a push production system as unprocessed parts are 'pushed' into the system at various rates from upstream sources. Nandula and Dutta (2000) considered a push-type agent-based flexible manufacturing system embedded in a traditional pull-type multi-stage production line. The system as a whole pulls parts from the preceding stage of the production line.…”