Generating labor requirements and rosters for mail handlers using simulation and optimization
Computers and Operations Research - Anniversary focused issue of computers & operations research on tabu search
Bringing science to the art of workforce management in service industries
CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
Modeling human behavior in customer-based processes: the use of scenario-based surveys
Proceedings of the Winter Simulation Conference
Economics of modeling and simulation: reflections and implications for healthcare
Proceedings of the Winter Simulation Conference
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Taco Bell Corporation has approximately 6,490 company-owned, licensed, and franchised locations in 50 states and a growing international market. Worldwide yearly sales are approximately $4.6 billion. In 1988, Taco Bell introduced six core-menu items for the reduced price of 59 cents and offered free drink refills. Taco Bell has since continued to change and innovate. Its new strategy meant restructuring the business to become more efficient and cost-effective. To do this, the company relied on an integrated set of operations research models, including forecasting to predict customer arrivals, simulation to determine the optimum labor required to provide desired customer service, and optimization to schedule and allocate crew members to minimize payroll. Through 1997, these models have saved over $53 million in labor costs.