Goal programming models and DSS for manpower planning of airport baggage service

Goal Programming (GP) models and Decision Support System (DSS) are two powerful tools dealing with manpower planning problems, not only on research level, but also as practical tools for industrial implementation. Goal programming is often useful as an optimization modeling technique for generating shift-duties of worker schedules. In our project for the baggage service agency at the Hong Kong International Airport, we proposed three model formulations based on the basic fixed-length shift duties generation model to approach various combinations of goals of manpower planning. Such an optimization modeling is built upon the essential foundation of a detailed data modeling and its analysis for all the driving parameters and demand/supply input necessary for numerical computations. The data model and GP model thus form the two integral components of the overall automation system - the DSS, which is an automatic computer based and userfriendly system to support management on planning decisions © Springer Physica-Verlag Berlin Heidelberg 2010.postprin

The assessment of the relationship between information technology (IT) and airport performance

The evolution of the airport business is demonstrated by airports that are adopting new business strategies and commercial models, which allow them to be, for example, service providers instead of real-estate managers, with the focus on cost reduction and increasing non-aeronautical (commercial) revenues. Information technology (IT) can be used by airports to achieve their business goals, such as enhancing performance by delivering cost reductions and generating additional revenue streams. Airports operate in an increasingly competitive and dynamic market, with the aim of attracting a larger share of hub traffic from neighbouring airports. Therefore, financial and operational performance will be key elements for airlines when choosing a new airport destination. The research shows that airports are more focused on passenger satisfaction, resulting in airport performance indicators that have the passenger at its operational core and performance targets (e.g. Airport Service Quality passenger satisfaction survey). IT plays an important role in increasing airport performance through the automation of processes such as the deployment of common-use check-in desks and self-service check-in kiosks. Studies of other industries have shown evidence that IT impacts firm performance, but there have been few studies related to the airport industry. Thus, the aim of this research is to assess the relationship between IT and airport performance, and it proposes a conceptual framework to assess the relationship between IT and airport performance by drawing from studies in other industries. Two methodologies were used in this research, the first one was the case study, and the second one was the online survey. The case studies consisted of 16 faceto- face interviews with senior staff representing two airports in Asia, one airport in Australia, and one airport in Europe. The case studies result show that there is a relationship between IT and airport performance ... [cont.]

The assessment of the relationship between information technology (IT) and airport performance

The evolution of the airport business is demonstrated by airports that are adopting new business strategies and commercial models, which allow them to be, for example, service providers instead of real-estate managers, with the focus on cost reduction and increasing non-aeronautical (commercial) revenues. Information technology (IT) can be used by airports to achieve their business goals, such as enhancing performance by delivering cost reductions and generating additional revenue streams. Airports operate in an increasingly competitive and dynamic market, with the aim of attracting a larger share of hub traffic from neighbouring airports. Therefore, financial and operational performance will be key elements for airlines when choosing a new airport destination. The research shows that airports are more focused on passenger satisfaction, resulting in airport performance indicators that have the passenger at its operational core and performance targets (e.g. Airport Service Quality passenger satisfaction survey). IT plays an important role in increasing airport performance through the automation of processes such as the deployment of common-use check-in desks and self-service check-in kiosks. Studies of other industries have shown evidence that IT impacts firm performance, but there have been few studies related to the airport industry. Thus, the aim of this research is to assess the relationship between IT and airport performance, and it proposes a conceptual framework to assess the relationship between IT and airport performance by drawing from studies in other industries. Two methodologies were used in this research, the first one was the case study, and the second one was the online survey. The case studies consisted of 16 faceto- face interviews with senior staff representing two airports in Asia, one airport in Australia, and one airport in Europe. The case studies result show that there is a relationship between IT and airport performance ... [cont.]

Airline schedule punctuality management

Airline schedule punctuality is a complex problem and one of the major concerns of the airline top management. Flight schedule disturbances may occur as delays and/or cancellations. There are many internal and external reasons for delays. These delays may propagate in the aircraft cycles and cause a large schedule disturbance. This may influences passenger satisfaction and airline resources. The objective of this research is to formulate a systematic approach for schedule punctuality which supports management decision making. The punctuality management system is structured to combine all schedule punctuality components, input and output variables. Five models are incorporated in this system. The first model is the disturbance model which generates random delays based on an estimated Lognormal delay distribution function. The delay analysis is carried out from a one year sample of delay statistics in which general, original , reactionary and other delay types are classified. The second model is the recovery model which incorporates the disturbance model with management strategies to determine delay propagation. A PC based simulation model (SKDMOD) is developed as a prototype which integrates disturbance and recovery models using SIMSCRIPT 11.5. 18 management strategies are simulated covering ground times (30, 40 and 50 minutes), maximum delay times to assign spare aircraft (1, 2, 3, 4, 5, and 6 hours) and spare aircraft using part of the domestic network of Saudi Arabia. The third model is the passengers' attitude model which determines the delay impact functions and the maximum passenger revenue loss based on 262 responses from a passenger interview survey. The fourth model is the revenue model which estimates the passengers' revenue loss. The fifth model is the cost model which estimates the extra cost resulting from implementation of the management strategies. All strategies are evaluated to determine the optimum based on profit and profit margin. OPTIM is the optimization program developed to find the optimum strategy(ies). This approach provides a guidelines for the management of punctuality. It integrates all the tools developed in a decision support system framework

Hard-Real-Time Computing Performance in a Cloud Environment

The United States Department of Defense (DoD) is rapidly working with DoD Services to move from multi-year (e.g., 7-10) traditional acquisition programs to a commercial industrybased approach for software development. While commercial technologies and approaches provide an opportunity for rapid fielding of mission capabilities to pace threats, the suitability of commercial technologies to meet hard-real-time requirements within a surface combat system is unclear. This research establishes technical data to validate the effectiveness and suitability of current commercial technologies to meet the hard-real-time demands of a DoD combat management system. (Moreland Jr., 2013) conducted similar research; however, microservices, containers, and container orchestration technologies were not on the DoD radar at the time. Updated knowledge in this area will inform future DoD roadmaps and investments. A mission-based approach using Mission Engineering will be used to set the context for applied research. A hypothetical yet operationally relevant Strait Transit scenario has been established to provide context for definition of experimental parameters to be set while assessing the hypothesis. System models federated to form a system-of-systems architecture and data from a cloud computing environment are used to collect data for quantitative analysis

Air Traffic Management Abbreviation Compendium

As in all fields of work, an unmanageable number of abbreviations are used today in aviation for terms, definitions, commands, standards and technical descriptions. This applies in general to the areas of aeronautical communication, navigation and surveillance, cockpit and air traffic control working positions, passenger and cargo transport, and all other areas of flight planning, organization and guidance. In addition, many abbreviations are used more than once or have different meanings in different languages. In order to obtain an overview of the most common abbreviations used in air traffic management, organizations like EUROCONTROL, FAA, DWD and DLR have published lists of abbreviations in the past, which have also been enclosed in this document. In addition, abbreviations from some larger international projects related to aviation have been included to provide users with a directory as complete as possible. This means that the second edition of the Air Traffic Management Abbreviation Compendium includes now around 16,500 abbreviations and acronyms from the field of aviation

Presentations from the MIT/Industry Cooperative Research Program : annual meeting, 1990

Statement of responsibility reads: Peter P. Belobaba; Catherine H. Bohutinsky; Anthony 0. Lee; Elizabeth L. Williamson; Amedeo R. Odoni, Stephan Kolitz and Mostafa Terrab; John Pararas; Robert W. Simpson; Tom Svrcek and Peter P. BelobabaJune 199