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010   $a3-319-73102-5
024 7 $a10.1007/978-3-319-73102-5
035   $a(CKB)4100000002485413
035   $a(MiAaPQ)EBC5316887
035   $a(DE-He213)978-3-319-73102-5
035   $a(PPN)224638718
035   $a(EXLCZ)994100000002485413
100   $a20180228d2018      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aModeling Discrete-Event Systems with GPenSIM $eAn Introduction /$fby Reggie Davidrajuh
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (144 pages)
225 1 $aSpringerBriefs in Applied Sciences and Technology,$x2191-530X
311   $a3-319-73101-7 
327   $aIntroduction -- Modeling with GPenSIM: Basic Concepts -- GPenSIM Processor Files -- Analysis of Petri Nets -- Optimizing Simulations with GPenSIM -- Petri Net Extensions -- Performance Evaluation -- Interfacing with the External Environment -- Structural Invariants.
330   $aModeling Discrete-Event Systems with GPenSIM describes the design and applications of General Purpose Petri Net Simulator (GPenSIM), which is a software tool for modeling, simulation, and performance analysis of discrete-event systems. The brief explains the principles of modelling discrete-event systems, as well as the design and applications of GPenSIM. It is based on the author?s lectures that were given on ?modeling, simulation, and performance analysis of discrete event systems?. The brief uses GPenSIM to enable the efficient modeling of complex and large-scale discrete-event systems. GPenSIM, which is based on MATLABŪ, is designed to allow easy integration of Petri net models with a vast number of toolboxes that are available on the MATLABŪ. The book offers an approach for developing models that can interact with the external environment; this will help readers to solve problems in industrial diverse fields. These problems include: airport capacity evaluation for aviation authorities; finding bottlenecks in supply chains; scheduling drilling operations in the oil and gas industry; and optimal scheduling of jobs in grid computing. This brief is of interest to researchers working on the modeling, simulation and performance evaluation of discrete-event systems, as it shows them the design and applications of an efficient modeling package. Since the book also explains the basic principles of modeling discrete-event systems in a step-by-step manner, it is also of interest to final-year undergraduate and postgraduate students.
410  0$aSpringerBriefs in Applied Sciences and Technology,$x2191-530X
606   $aAutomatic control
606   $aComputer simulation
606   $aEngineering economy
606   $aEngineering economy
606   $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010
606   $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000
606   $aEngineering Economics, Organization, Logistics, Marketing$3https://scigraph.springernature.com/ontologies/product-market-codes/T22016
615  0$aAutomatic control.
615  0$aComputer simulation.
615  0$aEngineering economy.
615  0$aEngineering economy.
615 14$aControl and Systems Theory.
615 24$aSimulation and Modeling.
615 24$aEngineering Economics, Organization, Logistics, Marketing.
676   $a003.830113
700   $aDavidrajuh$b Reggie$4aut$4http://id.loc.gov/vocabulary/relators/aut$0848062
906   $aBOOK
912   $a9910299952303321
996   $aModeling Discrete-Event Systems with GPenSIM$92521987
997   $aUNINA