Nowadays, airline ticket prices can vary dynamically and significantly for the same flight, even nearby seats within cabin. Customers are seeking to get lowest price while airlines trying keep their overall revenue as high possible maximize profit. Airlines use various kinds of computational techniques increase such demand prediction discrimination. From customer side, two models proposed by di...

The emergence of budget airlines, the advent of new sales channels, the disappearance of traditional fare-class fences, and other on-going changes in the airline industry pose serious challenges to traditional revenue management models, which make some rigid and unrealistic assumptions. One of these is that passengers who do not get the fare they want book and travel on other airlines or do not...


 Flight Fare is the cost that must be borne by passenger based on components of Distance Fare, Tax, Compulsory Insurance Contribution and Surcharge for using flight services. The mechanism calculating fare limit domestic scheduled commercial transport economy class passengers has been regulated in Ministerial Regulation Number 20 2019 restrictions have Decree No 106 according to class. Th...

We consider a two-period airline yield management problem where customers may act strategically. Specifically, we allow for the possibility that a customer may decide to defer purchase in the hope that a ticket cheaper than those currently on offer will become available. We also allow for the possibility that some customers will buy a more expensive ticket if the cheaper tickets are not availab...

Buying airline tickets is an ubiquitous task in which it is difficult for humans to minimize cost due to insufficient information. Even with historical data available for inspection (a recent addition to some travel reservation websites), it is difficult to assess how purchase timing translates into changes in expected cost. To address this problem, we introduce an agent which is able to optimi...

a r t i c l e i n f o Keywords: Ticket-switching Retail store Information system-based inventory Actual inventory Inventory inaccuracies in retail stores result from a combination of controllable and uncontrollable factors such as theft, damage, spoilage, misplacement, process errors, ticket-switching, among others. While most shrinkage types affect only one (type of) item, ticket-switching sim...

Travel agencies should be able to judge the market demand for tourism to develop sales plans accordingly. However, many travel agencies lack the ability to judge the market demand for tourism, and thus make risky business decisions. Based on the above, this study applied the Artificial Neural Network combined with the Genetic Algorithm (GA) to establish a prediction model of air ticket sales re...

The paper proposes an empirical framework with endogenous ‡ight frequency and quantity decisions on an airline market. The framework is built around the hypothesis that passengers value not only the ticket price but also the cost of delay associated with an airline. At sample mean values, the cost of delay is estimated to account for 34% of the $280 full price of a seat on a ‡ight. Marketing al...

The Internet has brought consumers increased access to information to make purchase decisions. As markets come closer to perfect information, one of the expected outcomes is an increase in competition. One of the consequences is an increase in the price elasticity of demand, or the percent change in demand due to a percent change in price, because consumers are better able to compare offerings ...

The Kassa module is part of a ticket ordering system developed by a company. It is a front-end running on client machines used by ticket sales clerks in ticket agencies and box offices. The Kassa module is operational and several of the company’s customers use it. The module is written in Java and about ten years old. The architecture of the Kassa module has become deprecated and is hard to mai...