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Economic Models - Convex Optimization

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134 Nikitas Spiros Koutsoukis<br />

We believe that although we are rich in technology to solve isolated<br />

business problems (e.g., product scheduling, quality control, production<br />

planning, accounting, marketing, etc.), many other problems still reside<br />

within the enterprise. Solving these problems require an integrated approach<br />

to problem solving. This integration must start at the representation level<br />

and the entire enterprise together with its structure, functionality, goals,<br />

objectives, constraints, people, processes, products must be modeled. The<br />

solution will probably be the outcome of an EIM framework.<br />

References<br />

Beeckman, D (1993). CIM-OSA: computer integrated manufacturing open system architecture.<br />

International Journal of Computer Integrated Manufacturing 2(2), 94–105.<br />

Bolton, R, A Dewey, A Goldschmidt and P Horstmann (1997). NIIIP — the national industrial<br />

information infrastructure protocols. In Enterprise Engineering and Integration:<br />

Building International Consensus, K Kosanke and JG Nell (eds.), Berlin: Springer-<br />

Verlag. pp. 293–306.<br />

Bueno, R (1998). Integrated information and process management in manufacturing engineering.<br />

Proc. of the 9th IFAC Symposium on Information Control in Manufacturing<br />

(INCOM’98), pp. 109–112. France: Nancy-Metz, May 24–26.<br />

Chen, D and FVernadat (2002). Enterprise interoperability: a standardisation view. ICEIMT<br />

2002, 273–282.<br />

Christensen, LC, BW Johansen, N Midjo, J Onarheim, TG Syvertsen and T Totland (1995).<br />

Enterprise Modeling-Practices and Perspectives. In Proc. of 9th ASME Engineering<br />

Database Symposium, Rangan (ed.), Boston: Massachusetts, 1171–1181.<br />

Fox, MS (1993). Issues in Enterprise Modeling. Proc. of the IEEE Conference on Systems.<br />

Man and Cybernetics, France: Le Touquet, 83–98.<br />

Fox, MS and M Gruninger (2003). The logic of enterprise modeling, modeling and methodologies<br />

for enterprise integration. In Modelling and Methodologies of Enterprise<br />

Integration, P Bernus and L Nemes (eds.), Cornwall, Great Britain: Chapman and<br />

Hall, 83–98.<br />

Fox, MS and J Huang (2005). Knowledge provenance in enterprise information.<br />

International Journal of Production Research 43(20), 4471–4492.<br />

Giachetti, RE (2004). A framework to review the information integration of the enterprise.<br />

International Journal of Production Research 42(6), 1147–1166.<br />

Hoyte, J (1992). Digital models in engineering — a study on why and how engineers build<br />

and operate digital models for decision support. PHD Thesis, University of Trondheim,<br />

Norway.<br />

Hunt, DV (1991). The Integration of CALS, CE, TQM, PDES, RAMP, and CIM, Enterprise<br />

Integration Sourcebook. San Diego, CA: Academic Press.<br />

Kaplan, RS and DP Norton (1992). The balanced scorecard: measures that drive<br />

performance. Harvard Business Review 70(1), 71–79.<br />

Kemmerer, J (1999). STEP: The Grand Experience, NIST Special Publication SP939,<br />

Washington, C 20402, USA: US Government Printing Office.<br />

Kosanke, K and JG NelI (1997). Enterprise Engineering and Integration: Building<br />

International Consensus. Berlin: Springer-Verlag.

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