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Critical to an airline's operation is the effective use of its reservations inventory. American Airlines began research in the early 1960s in managing revenue from this inventory. Because of the problem's size and difficulty, American Airlines Decision Technologies has developed a series of OR models that effectively reduce the large problem to three much smaller and far more manageable subproblems: overbooking, discount allocation, and traffic management. The results of the subproblem solutions are combined to determine the final inventory levels. American Airlines estimates the quantifiable benefit at $1.4 billion over the last three years and expects an annual revenue contribution of over $500 million to continue into the future.
Interfaces, a bimonthly journal of INFORMS, is dedicated to improving the practical application of Operations Research and Management Sciences (OR/MS) to decisions and policies in today's organizations and industries. Each article provides details of the completed application, along with the results and impact on the organization. Interfaces seeks to improve communication between managers and professionals in OR/MS and to inform the academic community about the practice and implementation of OR/MS in commerce, industry, government, or education. Interfaces is essential reading for analysts, engineers, project managers, consultants, students, researchers, and educators.
With over 12,500 members from around the globe, INFORMS is the leading international association for professionals in operations research and analytics. INFORMS promotes best practices and advances in operations research, management science, and analytics to improve operational processes, decision-making, and outcomes through an array of highly-cited publications, conferences, competitions, networking communities, and professional development services.
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Interfaces
© 1992 INFORMS