Abstract
This paper presents a discussion of the Generalized Network System (GNS), a system that captures knowledge about generalized network flow problems, in order to help users formulate, solve and interpret generalized network flow problems. Although previous researchers have built intelligent systems that incorporate knowledge about linear programming, this system includes more specific knowledge about generalized network flow problems. GNS is illustrated using it in a setting that requires international financial and replan rapidly. In addition, they need to be able to model complex events and organization GNS is illustrated using it in a setting that requires international financial and replan rapidly. In addition, they need to be able to model complex events and organization structures. For example, multinational planners need to be able to plan for production in multiple countries and repatriatization of funds. GNS allows users to meet these needs.
Similar content being viewed by others
References
B. Back, An Expert System for Financial Statements Planning, Abo Academy Press, Abo, Finland, 1991.
B. Back, Assisting inexperienced accountants in developing financial statements, International Journal of Intelligent Systems in Accounting, Finance and Manageement 1(1992)155–162.
B. Back and R. Back, Financial planning in the presence of tax constraints, Expert Systems with Applications, Unpublished Paper, 1992.
M. Binbasioglu and M. Jarke, Domain specific DSS tools for knowledge-based model building, Decision Support Systems 2(1986)213–223.
G. Brown and R. McBride, Solving generalized networks, Management Science 30 (December 1984).
R. Crum, Cash allocation in the multinational firm: A constrained generalized network approach, Unpublished Ph.D. Dissertation, University of Texas, 1974.
R. Crum, D. Klingman and L. Tavis, Strategic management of multinational companies: Network-based planning systems, Applications of Management Science 3(1983)177–201.
R. Crum, D. Klingman and L. Tavis, An operational approach to integrated working capital planning, Journal of Economics and Business 35(1983)343–378.
M. Dempster and A. Ireland, Object oriented model integration in MIDAS, Proceedings of the 22nd Annual Hawaii International Conference on System Sciences, R. Blanning and D. King, eds., 1989.
M. Dempster and A. Ireland, A financial expert decision support system, in: Mathematical Models for Decision Support, NATO ASI Series, Vol. F48, G. Mitra, ed., Springer, Berlin, 1988.
F. Fabozzi and J. Valente, Mathematical programming in American companies: A sample survey, Interfaces 7(1976).
H. Greenberg, A functional description of ANALYZE: A computer assisted analysis system for linear programming models, ACM Transactions on Mathematical Software 9(1983)18–56.
H. Greenberg, A natural language discourse model to explain linear programming models and solutions, Decision Support Systems 3(1987)333–342.
J. Iijima, Automatic model building and solving for optimization problems, Decision Support Systems 18(1996)293–300.
J. Lee and H. Lee, Interaction of strategic planning and short term planning: An intelligent DSS by the post model analysis approach, Decision Support Systems 3(1987)141–154.
P. Ma, F. Murphy and E. Stohr, Representing knowledge about linear programming formulations, Annals of Operations Research 21(1989)149–172.
R. McBride, Solving embedded generalized network problems, European Journal of Operational Research 21(1985)82–92.
F. Murphy and E. Stohr, An intelligent system for formulating linear programs, Decision Support Systems 2(1986)39–47.
K. Schittkowski, EMP: A software system for mathematical programming, Unpublished Paper, Mathematisches Institut, Universität Bayreuth, Bayreuth, Germany, 1985.
Y. Takahara, N. Shiba and H. Tanaka, An implementation of unified programming on actDSS, Decision Support Systems 18(1996)273–292.
P. Winston, Artificial Intelligence, Addison-Wesley. Reading, MA, 1984.
Rights and permissions
About this article
Cite this article
McBride, R.D., O'Leary, D.E. An intelligent modeling system for generalized network flow problems: With application to planning for multinational firms. Annals of Operations Research 75, 355–372 (1997). https://doi.org/10.1023/A:1018975900494
Issue Date:
DOI: https://doi.org/10.1023/A:1018975900494