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Many forecasting methods perform poorly when dealing with intermittent demand patterns and large variations in demand quantity. The presence of significant fluctuations within the time series, coupled with a substantial proportion of zero observations, complicates the extraction of trend and...
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A good demand forecast should be at the heart of every Revenue Management model. Yet most demand models do not incorporate customer choice behavior under offered alternatives. We are using the ideas of customer choice sets to model the customer's buying behavior. The demand estimation method, as...
Persistent link: https://www.econbiz.de/10010289570
In this study, we analyze a task scheduling problem with small time windows and care workers with different levels of qualification in a nursing home. A set of care tasks has to be assigned to a given number of care workers, so that the total earliness and tardiness from the nursing home...
Persistent link: https://www.econbiz.de/10013032778
In practice, call center service levels are reported over periods of finite length that are usually no longer than 24 hours. In such small periods the service level has a large variability. It is therefore not sufficient to base staffing decisions only on the expected service level. In this...
Persistent link: https://www.econbiz.de/10010990406
We give a closed-form expression for the long-run average cost and the bias vector in a two-class exponential preemptive resume priority queue with holding and switching costs. The bias vector is the sum of a quadratic function of the number of customers in each priority class and an exponential...
Persistent link: https://www.econbiz.de/10010999545
In this paper we apply a new framework for the study of monotonicity in queueing systems to stochastic scheduling models. This allows us a unified treatment of many different models, among which are multiple and single server models (with and without feedback), discrete and continuous time...
Persistent link: https://www.econbiz.de/10010847530
In this paper we apply a new framework for the study of monotonicity in queueing systems to stochastic scheduling models. This allows us a unified treatment of many different models, among which are multiple and single server models (with and without feedback), discrete and continuous time...
Persistent link: https://www.econbiz.de/10010949970