Decision making in a real-world domain like logistics is challenging for an autonomous technical system like a software agent. In this paper the problem of planning in such an environment is addressed. Classical planning and probabilistic criteria-directed scheduling components are tied together by a metalevel control and supplemented by a sophisticated world model and a risk management module ...

In this paper we consider the non-preemptive variant of a multi-mode resource constrained project scheduling problem (MRCPSP) with mode identity, in which a set of project activities is partitioned into disjoint subsets while all activities forming one subset have to be processed in the same mode. We present a depth-first branch and bound algorithm for the resource constrained project schedulin...

The European STREP project HEARTFAID aims at defining an innovative platform of services able to intelligently support clinical operators in the daily management of heart failure patients. The core of the platform intelligence is a Clinical Decision Support System, developed by integrating innovative knowledge representation techniques and hybrid reasoning methods, and including advanced tools ...

The complicatedness in conducting software development derives from the probabilistic assessment of future conditions or unclear requirements and project implications. Information technology project portfolio management is more complex and presents program managers with the challenge of dynamic decision-making in the context of target revisions and project selection (continuation of active proj...

the management and analysis of flood hazards is of great socio- economic and ecological importance as it was estimated that 50 percent of word’s population resides and works within the costal zone till 2030. the management of coastal flood hazard reflects the cumulative effects and criteria more than the human mind can handle effectively. the flood management requires decision making for rela...

Resource allocation for manufacturing systems (including scheduling, reactive scheduling, and control of discrete event systems) is a typical non-linear dynamic system, often at the edge of chaos. In previous work, we developed an architecture for resource allocation where a reactive scheduler co-operates with an autonomous on-line shop floor control (SFC) system to combine high performance wit...

We have applied a fast, easily extensible, discrete-event multi-agent simulation toolkit in Java. This approach is being applied to serve as the basis for a wide range of multi-agent simulation tasks in the supply chain environments. MASON carefully delineates between model and visualization, allowing models to be dynamically detached from or attached to visualizers, and to change platforms mid...

Title of Document: ELECTRONIC PROGNOSTICS AND HEALTH MANAGEMENT: A RETURN ON INVESTMENT ANALYSIS Kiri Feldman, Master of Science, 2008 Directed By: Dr. Peter Sandborn, Associate Professor, Department of Mechanical Engineering Prognostics and Health Management (PHM) provides the potential to lower sustainment costs, to improve maintenance decision-making, and to provide product usage feedback in...

This paper describes how the Resource-Constrained Project Scheduling Problem (RCPSP) can be used as a basis for real-time decision support in the disruption management of the aircraft turnaround, the most typical airport ground process. For this purpose, the RCPSP is extended by the possibility to describe alternative activities, which can be used to model potential process modi cations. An evo...