Air Campaign Scheduling for Effects-Based Operations
ACS (Air Campaign Scheduler) is a constraint-based air operations scheduler. ACS has been designed for tight integration with external planning systems and feedback from the executing environment, to support continuous, globally motivated control of air operations.[MORE]
DICORE: Distributed Coordination of Resources
Our current research in this direction has been focusing on the development of self-scheduling systems that draw on various aspects of a computational model of the self-organizing behavior of wasp colonies.[MORE]
Dirk's "J" Toolkit
The DJT Java Package contains a variety of custom components written in "100% pure Java" which extend the basic components of the Java AWT.[MORE]
Dynamic Manufacturing Scheduling (DMS)
Within the Technology Insertion Demonstration and Evaluation (TIDE) program, we are developing a manufacturing scheduling tool called the Dynamic Manufacturing Scheduler (DMS), which will be fully integrated with a commercial Manufacturing Execution System (MES). As a replacement of the scheduling module for existing MES solutions, this scheduler will provide various advanced scheduling strategies and mechanisms to perform day-to-day scheduling as well as respond to unanticipated changes. A set of what-if analysis tools will be provided to help human decision makers, and DMS will provide manual override functions to allow users to help guide scheduling when necessary.[MORE]
FIRE: Federation of Intelligent Robotic Explorers
HSTS Space Observatory Scheduler
HSTS is a problem solving framework for developing integrated planning and scheduling applications. It synthesizes the representational assumptions of contemporary temporal planning frameworks with the structured resource modeling concepts underlying current scheduling frameworks. contemporary planning and scheduling frameworks.[MORE]
Integrated Process Planning/Production Scheduling (IP3S)
In practice, process planning and production scheduling activities are typically handled independently and are carried out in a rigid, sequential manner with very little interaction. Process alternatives are traded off strictly from the standpoint of engineering considerations, and plans are developed without consideration of the current ability of the shop to implement them in a cost-effective manner. Production scheduling is performed under fixed process assumptions and without regard to the opportunities that process alternatives can provide for acceleration of production flows. This lack of coordination leads to unnecessarily long order lead times and increased production costs and inefficiencies. Increased manufacturing agility depends critically on the development of approaches for integrating these two activities.[MORE]
  Intelligent Combinatorial Optimization
Constrained Optimization problems are ubiquitous, whether one is interested in the design of an integrated circuit or a car, the production of a factory schedule, or the routing of school buses. One promising approach to solving these problems involves using Simulated Annealing (SA) search. This is a stochastic neighborhood search procedure that moves from one solution to another, while recording the best solution found so far.[MORE]
  Object Systems for Knowledge Representation
OZONE: Configurable, Mixed-Initiative Scheduling Systems
OZONE/DITOPS is an advanced tool for generation, analysis and revision of crisis-action logistics schedules. It was developed to address the shortcomings of existing transportation scheduling tools: these tools typically provide rather inflexible solution generators; the user is given no guidance in changing input constraints to achieve desired results, and has no control over how the schedule actually changes in response to revised inputs. As opposed to this, the DITOPS reactive scheduler is a mixed initiative decision-support tool similar in spirit to spreadsheet programs: sets of scheduling decisions and solution constraints are interactively manipulated by the user at (typically aggregate) levels consistent with user-task models.[MORE]
Scheduling and Visualization
This project is investigating the development of next-generation environments for collaborative analysis and management of large-scale schedules. Graphic visualization is adopted as the principal modality for user-system interaction, with particular emphasis on integrating data exploration and analysis capabilities into the iterative scheduling process.[MORE]
  Supply Chain Modelling and Analysis
Our research is concerned broadly with (1) the development of tools and techniques that enable modeling and analysis of emerging supply chain management strategies and practices, and (2) application of these tools to understand critical tradeoffs and alternatives in practical decision-making contexts.[MORE]

back to top