Transforming increasingly growing data volumes into knowledge and improving its usage requires knowledge management models (KMM). KMM structures the workflow for decision taking based on knowledge. Industry-suitable requirements for a KMM, in particular for automotive supply chains (SC) and...

Knowledge bases constitute the core of those Artificial Intelligenceprograms which have come to be known as Expert Systems. Anexamination of the most dominant knowledge representation schemes usedin these systems reveals that a knowledge base can, and possiblyshould, be described at several...

A number of DSS for supporting decisions by more than one person have beenproposed. These can be categorized by spatial distance (local vs. remote),temporal distance (meeting vs. mailing), commonality of goals (cooperationvs. bargaining), and control (democratic vs. hierarchical)....

Most large systems development efforts proceed in a top-down fashion where initialspecifications and requirements are incorporated into a high-level design, followed byprograms based on this design. However, a major part of the software life-cycle effort isdevoted to maintenance. While several...

Current planning and control procedures for large-scale software projects are not sufficientlyequipped to deal with changing or imprecise requirements, resource breakdowns,unexpected delays, etc. We propose a solution for managing change inprojects, based on a semantic model of the software...