/Intelligent Coordination and Logistics Laboratory

Intelligent Coordination and Logistics Laboratory

Problems of large-scale coordination and logistics are ubiquitous, and better solutions are becoming increasingly critical in many domains. In manufacturing, trends toward industrial globalization and constrained market focus on high value-adding products, together with new coordination concepts such as electronic marketplaces, require organizations to become more agile. Military command and control infra-structure is faced with shrinking budgets and personnel, even though current geopolitical realities demand improved capability for rapid crisis-action mission planning and deployment. The rising cost of health care places a premium on more efficient methods for administration and delivery.

Intelligent systems technologies provide new opportunities for addressing such problems of large-scale planning, scheduling and control. The Intelligent Coordination and Logistics Laboratory (ICLL) is developing new theories, techniques and software technologies that capitalize on these opportunities and enable flexible, robust, efficient, and high quality management and control of complex organizations. Our research is tackling fundamental technological challenges relating to problem complexity and solution/system scalability, decision-making under diverse and complex constraints, time-stressed decision-making in dynamic domains, human-computer collaboration, multi-agent and distributed decision-making, and solution/system reconfigurability, reuse and self-improvement. Methodologically, our research is driven by the requirements and complexities of actual applications; we are developing, validating and transitioning intelligent planning and scheduling tools in a variety of application contexts spanning manufacturing management, transportation logistics, and space mission planning.

Displaying 135 Publications

Integrated management of airlift and tanker missions at the USAF Air Mobility Command.

We are developing planning, scheduling and user interface components that enable real-time collabo...

As part of the Traffic21 initiative at CMU, we are investigating the design and application of ada...

The DARPA COORDINATORS program defines a challenging multi-agent application, with agents operatin...

Custom JAVA toolkit, user-interface for DITOPS/OZONE

This project is investigating the issues associated with multi-agent resource coordination.

An industrial project aimed at creating the new processes and technologies for managing and operat...

HSTS has been developed and applied principally in the context of space-based observatory scheduli...

We are investigating the development of techniques for tighter integration of planning and schedul...

A blackboard-based agent architecture for supporting mixed-initiative decision-making and integr...

We are developing adaptive mechanisms to speed up Simulated Annealing search.

Work involving Micro-Boss: a dynamic finite capacity scheduling tool for supporting efficient just...

Configurable/mixed-initiative scheduling systems

We have developed object systems that help us use frame-like features in our software.

We are investigating the development, analysis and application of optimizing search procedures for...

A blackboard-based agent architecture for supporting flexible multi-level lateral and vertical pla...

The goal of this project is to increase the effectiveness of paratransit service providers in mana...

The focus of the RADAR project is to build a cognitive...

This project is investigating the development of next-generation environments for collaborative an...

The development of tools and techniques that enable modeling and analysis of emerging supply chai...

2019-08-15T11:33:48-04:00