The explosive growth in online shopping has provided online retailers impressive opportunities to extend revenue and profit. However, retailers may lose considerable online business from slow response times at electronic shopping sites. Although increasing server capacity may improve response time, the resources needed to do so are clearly not free. In this study, we propose a scheme that can i...

We study banking using the tools of mechanism design, without a priori assumptions about what banks are, who they are, or what they do. Given preferences, technologies, and certain frictions –including limited commitment and imperfect monitoring –we describe the set of incentive feasible allocations and interpret the outcomes in terms of institutions that resemble banks. Our bankers endogenousl...

Managing congestion in a self-service environment such as fitting rooms in apparel retailers is vital as retailers increasingly rely on their customers to perform many tasks independently. In this paper, we examine the impact of congestion in fitting rooms on the store performance for a retailer. Using point-ofsale (POS), traffic, and labor data from a retailer, we demonstrate an inverted-U rel...

This paper studies the performance impact of making delay announcements to arriving customers who must wait before starting service in a many-server queue with customer abandonment. The queue is assumed to be invisible to waiting customers, as in most customer contact centers, when contact is made by telephone, email or instant messaging. Customers who must wait are told upon arrival either the...

ABSTRACT In this paper, we develop a supply network model for a service facility system with perishable inventory (on hand) by considering a two dimensional stochastic process of the form (L, X) =   0 )); ( ), ( (  t t X t L , where L (t) is the level of the on hand inventory and X (t) is the number of customers at time t. The inter-arrival time to the service station is assumed to be expone...

Deep neural networks have excelled on a wide range of problems, from vision to language and game playing. Neural networks very gradually incorporate information into weights as they process data, requiring very low learning rates. If the training distribution shifts, the network is slow to adapt, and when it does adapt, it typically performs badly on the training distribution before the shift. ...

In this paper we analyze the M/G/1 processor sharing queue with heavy tailed services and with impatient customers. It is assumed that impatience depends on the value of the service required. We prove that a reduced service rate (RSR) approximation holds for estimating the sojourn time of a customer in the system, when the queue capacity is finite or infinite. This allows us to evaluate the ren...

In this paper, we present an analysis for an M/M/c/N queueing system with balking, reneging and synchronous vacations of partial servers together. It is assumed that arriving customers balk with a probability and renege according to an exponential distribution. The vacation policy prescribes that any d (0<d<c) servers take a vacation together when these d servers find that no customers are wait...

In this paper, we consider a two-commodity stochastic s , S perishable inventory system of the multiqueue Jackson network at service facility with reneging and jockeying customers. The waiting room capacity first queue is id="M2"> <mi...

Since 2008, kidney exchange in America has grown in part from the incorporation of nondirected donors in transplant chains rather than simple exchanges. It is controversial whether these chains should be performed simultaneously 'domino-paired donation', (DPD) or nonsimultaneously 'nonsimultaneous extended altruistic donor, chains (NEAD). NEAD chains create 'bridge donors' whose incompatible re...