Decision support tool for resource allocation subject to imprecise data constraints

This paper deals with resource allocation in multi-project manufacturing system design, where more than one shared renewable resource type may be required by the manufacturing operation and the availability of each type is time limited. The aim of the paper is to present a knowledge-based and constraint programming-driven approach to resource allocation where that data can be imprecise. The presented design scheme is used as a 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 defined in terms of both direct and inverse resource allocation tasks.