White Papers

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).

ASP, The Art and Science of Practice: From Edelman Award to INFORMS Prize—Jeppesen’s 15-Year Journey Toward Analytics Excellence and Lessons Learned Along the Way
Jeppesen’s use of OR is noteworthy; the company won the Franz Edelman Award in 2000 and the INFORMS Prize in 2010. How did it manage the internal change to reach the OR excellence needed to attain such recognition? What are some of the lessons learned along the way? And what is next? One thing is certain: over this period, OR has enabled the improved decision making that resulted in hundreds of millions of dollars in benefits to Jeppesen and several billion dollars in benefits to its customers. In this paper, we describe some pivotal events that led to Jeppesen’s current reliance on OR as a strategic capability.

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.

Investment in Production Resource Flexibility: An Empirical Investigation of Methods for Planning under Uncertainty
We examine several methods for evaluating resource acquisition decisions under uncertainty. Traditional methods may underestimate equipment benefit when part of this benefit comes from decision flexibility.  We developed a new, practical method for resource planning under uncertainty, and show that this approach is more accurate than several commonly used methods.

Use of Decision Analysis in the Army Base Realignment and Closure (BRAC) 2005 Military Value Analysis
In 2001, Congress enacted legislation that required a 2005 Base Realignment and Closure (BRAC) round to realign military units, remove excess facility capacity, and support defense transformation. The United States Army used multiple-objective decision analysis to determine the military value of installations and an installation portfolio model to develop the starting point to identify potential unit realignments and base closures, providing the basis for all recommendations. Ninety-five percent of the army’s recommendations were accepted by the BRAC 2005 Commission. This paper offers four contributions to decision analysis and also won a Koopman Prize. See also Incorporating Land Use Change into Army Basing Analysis.

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