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We analytically study optimal capacity and flexible technology selection in parallel queuing systems. We consider N stochastic arrival streams that may wait in N queues before being processed by one of many resources (technologies) that differ in their flexibility. A resource's ability to...
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We consider a service firm that caters to price and delay sensitive customers by offering a menu of service grades. Each service grade is associated with posted price and delay. Noting that an optimal menu size could be quite large when there are many classes, we study whether the firm can offer...
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Firms have more information than their customers about the availability of the product. Given the increase in the strategic nature of customers, who consider both prices with future availability risk in making their purchase decisions, the firm may be interested in communicating this information...
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We study the question of scheduling impatient customers in parallel server queuing systems. At the time of arrival, customers can be identified as one of many classes, where the class represents the service time and patience time distributions, and cost characteristics. From the system's...
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We provide an empirical and theoretical assessment of the value of information sharing in a two-stage supply chain. The value of downstream sales information to the upstream firm stems from improving upstream order fulfillment forecast accuracy. Such an improvement can lead to lower safety stock...
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