Intelligent Systems for Logistics

Southwest Research Institute (SwRI) applies intelligent systems technology to a variety of problems in the logistics field. Computer-based intelligent systems solve problems that would otherwise require human expertise. The Institute uses a multidisciplinary team approach to develop innovative computer systems that solve logistics problems in a variety of areas including:

• Acquisition
• Maintenance
• Facility Management

Acquisition

Intelligent software systems, such as knowledge-based systems, can improve the effectiveness of acquisition management. In many industries and the government, the acquisition of parts and equipment requires may complex steps that vary depending on the purchase type and size. SwRI scientists develop intelligent advisory systems that recommend and schedule appropriate activities for the use of funds, personnel, and time.

SwRI also develops intelligent systems that help engineers determine whether replacement parts should be purchased from existing or new suppliers. In many cases, reverse engineering of parts to determine manufacturing specifications results in reduced procurement costs through competitive bidding. The Institute also develops knowledge-based systems for bid evaluation and vendor selection.

Using advice from an SwRI-developed intelligent system, engineers select aircraft parts for reverse engineering and remanufacture.

SwRI developed a knowledge-based system to plan, manage, and track government acquisitions. The system, which runs on a personal computer, helps F-111 aircraft program managers make informed decisions.

Maintenance

Institute staff members apply intelligent systems techniques to the maintenance of parts and equipment. When coupled with maintenance and supply databases, intelligent systems developed by SwRI help identify problems and suggest improvements for troublesome equipment. Staff members also develop intelligent systems that automate equipment testing and troubleshooting. Diagnostic knowledge-based systems rapidly identify and correct problems, reducing the labor requirements and costs of maintenance and repair.

The Institute developed a knowledge-based system to automate the analysis of the reliability, maintainability, and supportability of U.S. Air Force aircraft parts.

Facility Management

SwRI uses intelligent systems techniques to evaluate storage strategies in warehouses to improve space utilization and simplify planning. The Institute also develops knowledge-based systems to automate inventory management and facility layout.

A knowledge-based system developed by SwRI provides facility managers with recommendations for storage redistribution in warehouses to improve space utilization.

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