Abstract
The reference model employing constraint programming (CP) paradigm describes both an enterprise and a set of project-like production orders. Moreover, encompassing consumer orders requirements and available production capabilities, the model provides the formal framework allowing one to develop a class of decision support systems aimed at interactive production process planning subject to multi-project environment constraints. In that context our contribution provides a knowledge-based and CP-driven approach to renewable and nonrenewable resources allocation assuming precise character of decision variables. The proposed concept of a context dedicated constraint satisfaction problem can be seen as a new formal framework for developing a task oriented Decision Support Tool for Project Portfolio Prototyping (DST4P3). The tool provides a prompt and interactive service to a set of routine queries formulated either in straight or reverse way.
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Bocewicz, G., Banaszak, Z.A. (2009). Abductive Inference Based Approach to DSS Designing for Project Portfolio Planning. In: Nguyen, N.T., Szczerbicki, E. (eds) Intelligent Systems for Knowledge Management. Studies in Computational Intelligence, vol 252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04170-9_5
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DOI: https://doi.org/10.1007/978-3-642-04170-9_5
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