Simulation-based knowledge management in airport operations

Capturing and retaining knowledge in any organization is a major challenge. This talk describes how these challenges have been addressed through simulation and modeling techniques for complex engineered systems. A series of case studies that focus on airport processes are used to demonstrate the concepts. Furthermore, the additional benefits that a simulation model can bring, through online control and decision-making support, are discussed.

Timing and frequency data for passenger divesting at Melbourne domestic airport

The data covers the timing and frequency for divesting in the passenger screening process at Melbourne Airport, Victoria. Divesting is defined as the process of removing items from one's person before going through the screening process and placing them and cabin luggage onto the X-ray conveyor. This may also include removing items from bags to assist in the screening process.

Timing and frequency data for passenger divesting at Sydney domestic airport

The data covers the timing and frequency for divesting in the passenger screening process at Sydney Airport, New South Wales. Divesting is defined as the process of removing items from one's person before going through the screening process and placing them and cabin luggage onto the X-ray conveyor. This may also include removing items from bags to assist in the screening process.

Timing and frequency data for passenger divesting at Adelaide domestic airport

The data covers the timing and frequency for divesting in the passenger screening process at Adelaide Airport, South Australia. Divesting is defined as the process of removing items from one's person before going through the screening process and placing them and cabin luggage onto the X-ray conveyor. This may also include removing items from bags to assist in the screening process.

Timing and frequency data for passenger composing at Melbourne domestic airport

The data covers the timing and frequency for composing in the passenger screening process at Melbourne Airport, Victoria. Composing is defined as the process of collecting personal items after the screening process.

Timing and frequency data for passenger composing at Sydney domestic airport

The data covers the timing and frequency for composing in the passenger screening process at Sydney Airport, New South Wales. Composing is defined as the process of collecting personal items after the screening process.

Timing and frequency data for passenger composing at Adelaide domestic airport

The data covers the timing and frequency for composing in the passenger screening process at Adelaide Airport, South Australia. Composing is defined as the process of collecting personal items after the screening process.

Timing and frequency data for passenger walk through metal detection at Melbourne domestic airport

The data covers the timing and frequency for passengers walking through the metal detectors as part of the screening process at Melbourne Airport, Victoria.

Timing and frequency data for passenger walk through metal detection at Sydney domestic airport

The data covers the timing and frequency for passengers walking through the metal detectors as part of the screening process at Sydney Airport, New South Wales.

Timing and frequency data for passenger walk through metal detection at Adelaide domestic airport

The data covers the timing and frequency for passengers walking through the metal detectors as part of the screening process at Adelaide Airport, South Australia.

Airport and air cargo operation systems

Analysis of airport and air cargo operations is commonly performed in isolation, sharing only simple information such as flight schedules. Systems theory and Systems methodology can enhance such analysis by considering all aspects of air operations. It provides the decision-maker with an improved understanding of the implication of policy decisions, resource allocations and infrastructure investment strategies, through the capture of emergent behaviours and interdependencies. For example, the term airport operations, initially reminds us of the thought of passengers being transported by aircraft. Deeper thinking would identify activities that affect passenger operations, such as baggage handling systems, aircraft maintenance, and passenger security. In reality, airport operations consist of numerous aspects, including; concourses, runways, airlines, fuel depots, cargo terminal operators, retail, parking, cleaning, catering and many interacting people including travellers, service providers and visitors. For the airport to function effectively, these numerous systems must work together. This talk will focus on new tools and methodologies that are required for model development and analysis. It will then focus on modelling, simulation and analysis of the airport operations, providing greater understanding of airport operation with an emphasis towards security.

Does privatisation drive innovation? Business model innovation through stakeholder viewpoints: the case of Sydney Airport 10 years post-privatisation

Broad economic and social reform, rapid technological change and increasing global competition have meant that organisations must consider all aspects of their business model in order to successfully create and capture ongoing customer value. In this study it is proposed that business model innovation must always consider and incorporate the symbiotic and interdependent relationship that stakeholders have with an organisation. One particular aspect of economic reform, privatisation, has become an important driver of economic growth in many economies, particularly when linked with the rapid growth of air travel. Privatisation of an airport can generate a radical change in the overall business model for the airport owner and the various stakeholders involved in the operation of the airport. Sydney Airport has restructured its overarching business model to meet the demands of stakeholders. Using feedback from key stakeholders, this research examines the generally accepted view that airport privatisation leads to an improvement in airport performance. Chesbrough's Business Model Framework provides a lens to assist the analysis of Sydney Airport operations before and after privatisation, and provides valuable insights into the impact of privatisation on business model innovation. © Cambridge University Press and Australian and New Zealand Academy of Management 2014.

Status - based routing in baggage handling systems : searching verses learning

This study contributes to work in baggage handling system (BHS) control, specifically dynamic bag routing. Although studies in BHS agent-based control have examined the need for intelligent control, but there has not been an effort to explore the dynamic routing problem. As such, this study provides additional insight into how agents can learn to route in a BHS. This study describes a BHS status-based routing algorithm that applies learning methods to select criteria based on routing decisions. Although numerous studies have identified the need for dynamic routing, little analytic attention has been paid to intelligent agents for learning routing tables rather than manual creation of routing rules. We address this issue by demonstrating the ability of agents to learn how to route based on bag status, a robust method that is able to function in a variety of different BHS designs.