R Santhanam, J Elam - Journal of the Operational Research …, 1998 - Taylor & Francis
Research in knowledge-based systems (KBS) has become an important area of inquiry within decision sciences. In this paper, we present the results of an extensive survey of …
MM Kwan, PR Balasubramanian - Proceedings of the Thirtieth …, 1997 - ieeexplore.ieee.org
Current workflow management systems do not provide adequate support for workflow modeling. Real life work processes are much richer in variations and more dynamic than is …
P Kall, J Mayer - Mathematical Programming, 1996 - Springer
In this paper stochastic linear programming (SLP) is considered from the model management point of view. General model management issues specific to SLP are …
In the modern day, digital enterprise data and models are widely distributed. Decision- making in such distributed environments needs secure and easy access to these resources …
There has recently been considerable interest in research and practice that rely substantially on ideas from both model management and database management to solve problems that …
CIM systems modelling is a very complex task which can be referred to various phases of system development. Modelling is both dispersed in time and in scope, since it is generally …
SN Pillutla, BN Nag - Decision Support Systems, 1996 - Elsevier
The importance of rapid and automated model development for decision support is recognized in production scheduling applications, where problem instances are often similar …
A Ganser, H Lichter - … Conference on Model-Driven Engineering and …, 2013 - scitepress.org
Reuse has been widely carried out successfully, but not with models in Model Driven Engineering. Reasons seem manifold and conceptual issues and poor tool support are …
P Kall, J Mayer - Stochastic Programming: Numerical Techniques and …, 1995 - Springer
Computer Support for Modeling in Stochastic Linear Programming Page 1 Computer Support for Modeling in Stochastic Linear Programming P. Kali and J. Mayer Institute for Operations …