Business-Task Coupled Process Management for Complex Product Simulation

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Business process and professional simulation process are closely relative and alternate together for complex product simulation. This paper presents a business-task coupled process management method, which can implement integration management of business process and professional simulation process. Business-task coupled process is controlled by a multilayer workflow engine based on workflow technology. When the business process executes a task activity, the responding task process will be driven. The workflow engine controls every simulation activity in the task process. A simulation activity invokes one specified simulation tool and transfers data through a simulation component. The application result shows the validity of the method.

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531-535

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] H.W. Wang, G. Liu, B. Han and J. Zhang, in: Collaborative Simulation Environment Framework Based on SOA. Proceedings of the 2008 12th International Conference on Computer Supported Cooperative Work in Design, (2008) pp.416-419.

DOI: 10.1109/cscwd.2008.4537015

Google Scholar

[2] C. B. Sarah and L. Ulf, in: Search, Adapt, and Reuse: The Future of Scientific Workflows. SIGMOD Record, Vol. 40, No. 2, (2011) pp.6-16.

DOI: 10.1145/2034863.2034865

Google Scholar

[3] T. Oinn, M. Greenwood, M. Addis, M. N. Alpdemir, J. Ferris, K. Glover, C. Goble, A. GODERIS, D. HULL and D. MARVIN, in: Taverna: Lessons in Creating a Workflow Environment for the Life Sciences. Concurrency and Computation: Practice and Experience, Vol. 18, No. 10, (2005).

DOI: 10.1002/cpe.993

Google Scholar

[4] B. Ludaescher, I. Altintas, C. Berkley, D. Higgins, E. Jaeger, M. Jones, E. A. Lee, J. Tao, and Y. Zhao, in: Scientific Workflow Management and the Kepler System. Concurrency and Computation: Practice and Experience, Vol. 18, No. 10, (2005).

DOI: 10.1002/cpe.994

Google Scholar

[5] E Deelman, G. Singh, M. H. Su, J. Blythe, Y. Gil, C. Kesselman, G. Mehta, K. Vahi, G. B. Berriman, J. Good, in: Pegasus: A Framework for Mapping Complex Scientific Workflows onto Distributed Systems. Scientific Programming, Vol. 13, No. 3, (2004).

DOI: 10.1155/2005/128026

Google Scholar

[6] C. E. Scheidegger, H. T. Vo, D. Koop, J. Freire and C. T. Silva, in: Querying and Re-using Workflows with VisTrails. SIGMOD Vancouver, Canada (2008).

DOI: 10.1145/1376616.1376747

Google Scholar

[7] U. Radetzki, U. Leser, S. C. Schulze-Rauschenbach, J. Zimmermann, J. Lussem, T. Bode and A. B. Cremers, in: Adapters, Shims, and Glue-service Interoperability for in Silico Experiments. Bioinformatics, Vol. 22, No. 9, (2006) pp.1137-43.

DOI: 10.1093/bioinformatics/btl054

Google Scholar

[8] H.W. Wang, G. Liu, X. H. Yang and Z. X. He, in: Collaborative Simulation Environment for Mechanical System Design. Internal Journal of Product Development, Vol. 13, No. 1, (2011) pp.38-46.

Google Scholar