Abstract
This paper describes a modeling approach that helps to represent necessary aspects of complex socio-technical systems, such as organization, in an integrated form and provides a simulation technique for analyzing these organisations. An actor-based language is introduced and compared to a conventional simulation approach (Stock-and-Flow) by simulating aspects of a software services company.
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Barry W Boehm. Software Engineering Economics. Prentice Hall, 1981 ISBN:0138221227.
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References
Zachman, J.A.: A framework for information systems architecture. IBM Sys. J. 26(3), 276–292 (1987)
Kosanke, K.: CIMOSA—overview and status. Comput. Ind. 27(2), 101–109 (1995)
Fox, M.S.: The TOVE Project: Towards A Common-sense Model of the Enterprise, Enterprise Integration Laboratory Technical report (1992)
Williams, T.J., Rathwell, G.A., Li, H.: A Handbook on Master Planning and Implementation for Enterprise Integration Programs. North Holland Publishing, Amsterdam (2001)
Bernus, P., Noran, O., Molina, A.: Enterprise architecture: twenty years of the GERAM framework. In: The International Federation of Automatic Control, pp. 24–29, Cape Town, August 2014
Doumeingts, G., Chen, D., Vallespir, B.P., Marcotte, F.F.: GIM (GRAI integrated methodology) and its evolutions - a methodology to design and specify advanced manufacturing systems. In: DIISM, pp. 101–120 (1993)
Wisnosky, D.E., Vogel, J.: In Managing and Executing Projects to Build Enterprise Architectures Using the Department of Defense Architecture Framework (DoDAF) (2004)
Barjis, J.: Enterprise, organization, modeling, simulation: putting pieces together. In: Proceeding of EOMAS (2008)
Barjis, J., Verbraeck, A.: The relevance of modeling and simulation in enterprise and organizational study. In: Barjis, J. (ed.) EOMAS 2010. LNBIP, vol. 63, pp. 15–26. Springer, Heidelberg (2010)
Vernadat, F.: UEML towards a unified enterprise modelling language. Int. J. Prod. Res. 40(17), 4309–4321 (2002)
OMG Document, Business Process Model and Notation, formal/2011–01-03, January 2011. http://www.omg.org/spec/BPMN/2.0/
van Lamsweerde, A., Letier, E.: From object orientation to goal orientation: a paradigm shift for requirements engineering. In: Wirsing, M., Knapp, A., Balsamo, S. (eds.) RISSEF 2002. LNCS, vol. 2941, pp. 325–340. Springer, Heidelberg (2004)
Yu, E., Strohmaier, M., Deng. X.: Exploring intentional modeling and analysis for enterprise architecture. In: 10th IEEE International Enterprise Distributed Object Computing Conference Workshops (EDOCW 2006), IEEE (2006)
Object Management Group. Business Motivation Model v. 1.1 (2010). www.omg.org/spec/BMM/1.1/
Meadows, D.H.: Thinking in systems: A primer. Chelsea Green Publishing, Amsterdam (2008)
Krogstie, J.: Using EEML for combined goal and process oriented modeling: a case study. IDI, NTNU. In: Proceedings of EMMSAD, Trondheim (2008)
Iacob, M., et al.: State of the art in architecture support, ArchiMate deliverable D3.1. Enschede, The Netherlands: Telematica Instituut (2003)
Chen, D., Doumeingts, G., Vernadat, F.B.: Architectures for enterprise integration and interoperability: Past, present and future. Comput. Ind. 59(7), 647–659 (2008)
Fox, M.S.: Issues in Enterprise Modelling. In: Proceedings of the IEEE Conference on Systems, Man and Cybernetics, Le Toquet, IEEE (1993)
Parsons, T., Jones, I.: Structure and Process in Modern Societies, vol. 3. Free Press, New York (1960)
Barn, B.S., Clark, T., Kulkarni, V.: Next generation enterprise modelling - the role of organizational theory and multi-agent systems. In: ICSOFT EA, pp. 482–487 (2014)
Hewitt, C.: Actor model of computation: scalable robust information systems. arXiv preprint arXiv:1008.1459 (2010)
Hewitt, C.: Norms and commitment for iorgs (tm) information systems: Direct logic (tm) and participatory grounding checking. arXiv preprint arXiv:0906.2756 (2009)
Van Harmelen, F., Lifschitz, V., Porter, B.: Handbook of Knowledge Representation, vol. 1. Elsevier, Melbourne (2008)
Camus, B., Bourjot, C., Chevrier, V.: Combining DEVS with Multi-agent Concepts to Design and Simulate Multi-models of Complex Systems (2015)
Bollen, P.: Using fact-based modeling for business simulation. In: Barjis, J. (ed.) EOMAS 2010. LNBIP, vol. 63, pp. 59–78. Springer, Heidelberg (2010)
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We would like to thank Arun Bahulkar for his help in defining the case study.
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Kulkarni, V., Barat, S., Clark, T., Barn, B. (2015). A Wide-Spectrum Approach to Modelling and Analysis of Organisation for Machine-Assisted Decision-Making. In: Barjis, J., Pergl, R., Babkin, E. (eds) Enterprise and Organizational Modeling and Simulation. EOMAS 2015. Lecture Notes in Business Information Processing, vol 231. Springer, Cham. https://doi.org/10.1007/978-3-319-24626-0_7
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