The network revenue management (RM) problem arises in airline, hotel, media, and other industries where the sale products use multiple resources. It can be formulated as a stochastic dynamic program, but the dynamic program is computationally intractable because of an exponentially large state space, and a number of heuristics have been proposed to approximate its value function. In this paper ...

The ability to predict the choices of prospective passengers allows airlines to alleviate the need for overbooking flights and subsequently bumping passengers, potentially leading to improved customer satisfaction. Past studies have typically focused on identifying the important factors that influence choice behaviors and applied discrete choice framework models to model passengers’ airline cho...

When purchasing tickets in advance, sports consumers are often faced with uncertainty. Most notably, in today’s real-time environment, it can be challenging for consumers to determine how ticket prices and seat availability will change over time. Guided by the generic advanced-booking decision model, the current study investigated the role of time, ticket source (primary or secondary market), a...

Quality of Service (QoS) routing in computer networks is an important component in QoS architectures in order to provide end-to-end QoS support. Two major issues make QoS routing difficult: (1) Most of the QoS routing problems are NP-hard, such as the Delay Constraint Least Cost Routing (DCLCR) problem; (2) Imprecise network information degrades the routing performance. Using DCLCR problem as a...

We describe a new network service, the “ticket server”. This service provides “tickets” that a client can attach to a request for a network service (such as sending email or asking for a stock quote). The recipient of such a request (such as the email recipient or the stockbroker) can use the ticker server to verify that the ticket is valid and that the ticket hasn’t been used before. Clients c...

This study uses a quantitative method with descriptive analysis, distributing questionnaires to passengers or users of the roro ship in Bakaheuni, Merak. research was conducted objectives being: To find out how online ticket sales system is based, handling delays on ro-ro ferries, set up parking management at wharf, optimize dock operation, process managing operating fleet. Result this magnitud...

10 Clinical overbooking is intended to reduce the negative impact of patient no-shows on clinic op11 erations and performance. In this paper, we study the clinical scheduling problem with overbooking 12 for heterogeneous patients, i.e. patients who have different no-show probabilities. We consider the 13 objective of maximizing expected profit, which includes revenue from patients and costs ass...

Managing problem tickets is a key issue in IT service industry. A large service provider may handle thousands of problem tickets from its customers on a daily basis. The efficiency of processing these tickets highly depends on ticket routing—transferring problem tickets among expert groups in search of the right resolver to the ticket. Despite that many ticket management systems are available, ...

Revenue Management (RM) helped increase profitability for many travel industries. Selling perishable products with a fixed event date, the Sports and Entertainment (S&E) ticket industry can potentially benefit from RM ideas but has received less attention in the literature. In this study we develop dynamic pricing models for stochastic S&E demand in a discrete finite time setting, where demand ...

This paper analyzes the effect of overbooking for scheduling systems in a commercial environment. In this scenario each job is associated with a release time and a finishing deadline as well as a fee for a successful execution and a penalty for violating the deadline. The core idea is to exploit overestimations of required job execution times, providing an opportunity to aggressively schedule a...