Page 7 - Continuous Process Modeling Quick Start Guide
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Introduction 3
How ExtendSim CP is being used
Chemical reaction kinetics, thermodynamics, paper mak- ing, population dynamics, growth/decay, competition/ cooperation, chaos, genetic algorithms
Hardware design verification, electro-mechanical systems, neural networks, adaptive sys- tems, algorithm validation, sig- nal processing
Forecasting, credit risk analy- sis, asset pricing, derivatives trading, data flow and sharing, inventory replacement strate- gies, resource allocation, pro- cess flow
Econometric studies, trade pol- icies, relationship modeling, finite capacity planning, eco- nomic booms and recessions, immigration policies
Discipline Science
Social Sciences
Biology, Biotech, Chemistry, Ecology, Genetics, Mathemat- ics, Medicine, Pharmaceuti- cals, Physics
Aerospace, Agricultural, Auto- motive, Control Systems, Elec- tronic, Environmental, Forestry, Material Science, Mechanical, Mining, Nuclear, Petroleum
Finance, Information Technol- ogy, Inventory Management, Human Resources, Operations
Economics, Gender Studies, Migration, Psychology, Social Dynamics, Urban Studies
☞ If the system or process is event-based, rather than time based, see the Discrete Event or Dis- crete Rate Quick Start Guide.
How ExtendSim CP is being used
It is most common for continuous process modelers to use the ExtendSim integrated develop- ment environment (IDE) to create their own libraries of blocks. Some applications are:
1) Thegloballeadingsupplierofplants,equipment,andservicesforhydropowerstations,the pulp and paper industry, and metalworking and steel industries uses OEM’d ExtendSim for control logic verification and steady-state and dynamic process modeling in the global kraft pulp industry and for oil sands operations, potash operations, and hard rock mining.
2) TheleadingconsumerproductscompanyhascreatedcustomExtendSimblockstohelp design machines that process continuous sheet web products such as paper towels, toilet paper, and diapers.

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