Presenting a Hybrid Processing Mining Framework for Automated Simulation Model Generation

Mesabbah, Mohammed; McKeever, Susan

doi:10.1109/wsc.2018.8632467

Cited by 4 publications

(1 citation statement)

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“…The procedure must be compliant with a Real-time Simulation framework [5], hence the system discovery has to be performed automatically, without pre-existing models nor any user interaction during the computation. Initial steps in this direction have already been outlined by [21]. In our procedure, we combined the properties of the mining methodologies presented in section II-B.…”

Section: Problem Introductionmentioning

confidence: 99%

Manufacturing Systems Mining: Generation of Real-Time Discrete Event Simulation Models

Lugaresi¹,

Zanotti²,

Tarasconi³

et al. 2019

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)

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The recent economic outlook has prompted manufacturers to spend a lot of resources towards automation and Cyber Physical Systems (CPS). One of the requisites to successfully deploy CPSs is the availability of up-to-date digital models coupled with the real system, yet this is not always guaranteed in dynamic and complex environments such as production systems. This paper develops a new method that generates the Petri Net model of a manufacturing system starting from an event log with three data labels. The user decides the number of maximum events to be mapped to control the model level of detail. The method has been applied on a test case and it is promising in terms of applicability to real manufacturing systems.

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Section: Problem Introductionmentioning

confidence: 99%