Abstract
In this article, we present a conceptual model and a web-based architecture for implementing an enterprise-wide modeling system for decision support. It describes a framework and develops a method that is aimed at effectively organizing, integrating, and reusing knowledge and model components from various sources across an organization in order to provide better knowledge access to decision makers. Given a query, the compositional modeling system responds with automatically building models for the described scenario by searching the organizational knowledge base and retrieving and integrating relevant knowledge components. We conclude with outlining an illustrative business example that demonstrates how our enterprise modeling system can be applied as useful tool for operational and strategic decision-making.
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Notes
Qualitative simulation (QSIM), originally developed by (Kuipers 1986), is perhaps the most widely known qualitative reasoning system. It consists of the QSIM modeling language and the QSIM solver. Besides allowing the representation of qualitative arithmetic constraints, QSIM particularly features the qualitative representation of monotonically increasing (M+ constraints) and monotonically decreasing (M− constraints) functional relationships.
Actually one can also define so called corresponding values which are, again in qualitative terms, specific points of an M+ relationship. Thus we could specify a corresponding value (0, (0,inf)), meaning f(0) > 0. That is we would restrict the class M further to M = {g|g(0) > 0,g′ > 0}, or in other words, even without any promotional expenditure we would still expect some sales.
Rules-constraint-reasoning (RCR) is a semi-qualitative reasoning system introduced by Kiang et al (1994) and Hinkkanen et al. (1995). It uses an interval-based representation to hybridize qualitative and quantitative information. Kuipers and Berleant (1988), Williams (1991), and Berleant and Kuipers (1998), present alternative hybrid modeling languages.
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This article is part of the “Handbook on Decision Support Systems” edited by Frada Burstein and Clyde Holsapple W (2008) Springer.
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Ba, S., Lang, K.R. & Whinston, A.B. Compositional enterprise modeling and decision support. ISeB 6, 137–160 (2008). https://doi.org/10.1007/s10257-007-0068-7
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DOI: https://doi.org/10.1007/s10257-007-0068-7