How Optimization Supports Army Base Closure and Realignment
This paper presents an integer linear program, Optimally Stationing Army Forces (OSAF), which prescribes optimal Army stationing for a given set of units. OSAF uses the existing starting locations, set of installations, available implementation dollars, and unit requirements for facilities, ranges, and maneuver land. It has provided the Army with stationing analysis for several years. Perhaps most significantly, OSAF helped with the closure and realignment decisions during the 2005 round of Base Realignment and Closure (BRAC).
Jeppesen Uses a Dynamic-Programming-Based DSS to Manage Inventory
We developed a system for managing inventory for charts used in flight manuals. These charts contain essential safety information that changes frequently, making standard methods or inventory management ineffective. We formulated the problem as a dynamic programming model and developed a simple heuristic-solution procedure for determining order quantities.
Improving Performance and Flexibility at Jeppesen: The World’s Leading Aviation-Information Company
Jeppesen Sanderson, Inc. maintains, manufactures, and distributes flight manuals containing safety information for over 300,000 pilots and 400 airlines worldwide. Its service deteriorated when a growing line of over 100,000 aviation charts overwhelmed its production system. We developed optimization-based decision support tools that improved production planning. Concurrently, we developed a method for evaluating investments in production technology. Our work reduced lateness and improved production processes, which led to a decrease in customer complaints, a reduction in costs of nearly 10 percent, an increase in profit of 24 percent, and the creation of a new OR group.