Concept of operations

About: Concept of operations is a research topic. Over the lifetime, 964 publications have been published within this topic receiving 6845 citations. The topic is also known as: CONOPS.

An Integrated Collaborative Decision Making and Tactical Advisory Concept for Airport Surface Operations Management

Abstract: Surface operations at airports in the US are based on tactical operations, where departure aircraft primarily queue up and wait at the departure runways. There have been attempts to address the resulting inefficiencies with both strategic and tactical tools for metering departure aircraft. This paper presents Spot And Runway Departure Advisor with Collaborative Decision Making (SARDA-CDM): an integrated strategic and tactical system for improving surface operations by metering departure aircraft. SARDA-CDM is the augmentation of ground and local controller advisories through sharing of flight movement and related operations information between airport operators, flight operators and air traffic control at the airport. The goal is to enhance the efficiency of airport surface operations by exchanging information between air traffic control and airline operators, while minimizing adverse effects on stakeholders and passengers. The paper presents the concept of operations for SARDA-CDM, describing both the strategic and tactical components. Then the preliminary results from testing the concept in a real-time automated simulation environment are described. Results indicate benefits such as reduction in taxiing delay and fuel consumption. Further, the preliminary implementation of SARDA-CDM seems robust for two minutes delay in gate push-back times.

Concepts for Operations Management

Abstract: An operating system may be defined as &dquo;a configuration of resources combined for the provision of goods or services&dquo; and operations management may be defined as ’the design and planning, operation and control of operating systems’[ 1, p. 4]. The scope of operations management includes inter alia layout of facilities/resources, determination of capacity, design of jobs, activity scheduling, quality control, control and planning of inventories. The existing body of knowledge in operations management, as reflected in the teaching of the subject, largely consists of a number of techniques and practices for problem-solving, decision-making and analysis in these areas. These are fairly well developed yet there is, relatively, a lack of theory and a conceptual framework to allow the student or practitioner to determine the appropriateness or feasibility of such techniques and practices, to recognise the implications of action in one

Evaluation, Selection, and Application of Model-Based Diagnosis Tools and Approaches

Abstract: Model-based approaches have proven fruitful in the design and implementation of intelligent systems that provide automated diagnostic functions. A wide variety of models are used in these approaches to represent the particular domain knowledge, including analytic state-based models, input-output transfer function models, fault propagation models, and qualitative and quantitative physics-based models. Diagnostic applications are built around three main steps: observation, comparison, and diagnosis. If the modeling begins in the early stages of system development, engineering models such as fault propagation models can be used for testability analysis to aid definition and evaluation of instrumentation suites for observation of system behavior. Analytical models can be used in the design of monitoring algorithms that process observations to provide information for the second step in the process, comparison of expected behavior of the system to actual measured behavior. In the final diagnostic step, reasoning about the results of the comparison can be performed in a variety of ways, such as dependency matrices, graph propagation, constraint propagation, and state estimation. Realistic empirical evaluation and comparison of these approaches is often hampered by a lack of standard data sets and suitable testbeds. In this paper we describe the Advanced Diagnostics and Prognostics Testbed (ADAPT) at NASA Ames Research Center. The purpose of the testbed is to measure, evaluate, and mature diagnostic and prognostic health management technologies. This paper describes the testbed’s hardware, software architecture, and concept of operations. A simulation testbed that

Assessing operational impacts of automation using functional resonance analysis method

Abstract: Interaction with automated systems and other types of technologies seems inevitable and almost a requirement of human work. The aviation sector, and in particular air traffic control, is devoting considerable efforts towards automation, to respond to the increased demand for capacity. Project AUTOPACE investigated the impacts of foreseeable automation over human performance and behaviour. The purpose was to identify new training requirements for air traffic controllers under foreseeable automation scenarios. In addition to the research carried out under the remit of AUTOPACE, the functional resonance analysis method was used to explore how the interactions between human operators and technology may change, as new automation features would be introduced into ATC operations. The FRAM model was developed based on AUTOPACE concept of operations, two levels of automation (E2 and E1) and was then used to instantiate three different non-nominal situations that were also investigated by the project. This paper presents the FRAM-based analysis carried out and discusses the potential impacts of automation, considering uncertainty and variability as two critical aspects that emerge from complex operation scenarios. The relation with AUTOPACE work is continuously established and the added value of FRAM for the pursuit of further AUTOPACE work is argued.