Cockpit Management Research Articles

Evaluation of comprehensive early warning for higher education institutions' cloud model of simulated enterprise management cockpit.

The cross-disciplinary virtually simulated platform for enterprise management in universities' new business courses is an initiative practical framework based on scenario-driven tasks. However, there is a prominent conflict between the rapid operating cycle of simulation enterprises plus their fierce competitions and the strategic demand for real-time analysis for operational data. Based on such demand, this study takes the development method of the simulated enterprise management cockpit from Guangzhou Huashang College as an example. It adopts the combined weighting method based on cloud models to determine indicator weights, then qualitative and quantitative data analyses are conducted from five aspects: "business, finance and operation", "customer management and marketing", "internal operational objectives", "product development strategy", along with "team building and management". This approach achieves a comprehensive evaluation and early warning of the enterprise management process. Specifically, the subjective weights are determined by the Analytic Hierarchy Process, while the objective weights by the entropy weight method, finally verified by cloud model evaluation of its overall indicator performance. The design can evaluate the comprehensive performance of enterprise management indicators and students' activity participation through the cloud-based application and the digital cockpit, so as to fully presents the enterprise's overall management level, along with judgement of whether it is reasonable through pointers in different colors. In addition, apparent indicator-related characteristics are also utilized to assess future decision-making directions. Finally, this comprehensive approach can timely optimize operation strategies and facilitate budget allocation for future development.

Artificial Intelligence as a Tool Supporting Organizational Entrepreneurship – Theoretical Problems and Case Analysis

Purpose: This article aims to present the results of qualitative research on the analysis of the relationship between artificial intelligence (AI) and organizational entrepreneurship. The purpose of this research is to determine, in terms of qualitative analysis, what kind of relationships are taking place. AI is part of a new trend in the development of digital technology, defined by the acronym DARQ. Its elements are the following digital systems: Distributed Ledger, Artificial Intelligence, Extended Reality, Quantum Computing. Methodology: The research procedure consists of the following stages: a literature analysis, qualitative research in the focus group, evaluation by experts, and the presentation of results, conducting three case analyses from various industries during the activity, which present the extent to which AI affects organizational entrepreneurship. Results: The research showed user support for the use of AI technology, especially in the implementation of procedures that support organizational entrepreneurship. The AI applied in the organization enables us to obtain effects on such elements of organizational entrepreneurship as creating new strategic solutions, evaluating these proposals, and monitoring the approach of the organization’s management through the use of tools such as a management cockpit and simulation models. The use of artificial intelligence in a modern organization is necessary to improve multifaceted and interdisciplinary processes that support organizational entrepreneurship. The use of AI shows the usefulness of digital technology in operational and strategic management. Limitations: Due to the lack of empirical, especially quantitative, materials concerning the application of all levels of categorization of the use of artificial intelligence in the discussed cases, supplementary research is required to provide a more comprehensive analysis of its applications. Originality/value: The thesis was justified that IT systems containing AI technology solutions are helpful in the implementation of procedures supporting organizational entrepreneurship. The thesis is complemented by a study consisting of examining the truthfulness of the statement that the consequence of using AI is to obtain in an organization the effects of both generating proposals for new development solutions and verifying the feasibility of the implementation of the procedures proposed by the organization management. The conducted research focuses on the assessment of the relationship between advanced information technologies and organizational entrepreneurship.

Havayolu Operasyonlarında Pilotların Liderlik Tarzları ve Ekip Kaynak Yönetimi (EKY) Uygulamaları Arasındaki İlişkinin İncelenmesi

This study was carried out for the purpose to research the relationship between pilot’s leadership styles and crew resource management practices. The data obtained were collected from 104 pilots working at the airports in Istanbul by survey data collection method; 3 of them were deemed invalid and 101 questionnaires were tested in the SPSS'21 package program. Factor analysis was executed to test the validity and reliability of the scales and as a result of the normality analysis applied, spearmen correlation analysis was applied based on the assumption that the distribution was not normal; linear regression analysis was applied to test the effect hypothesis. As consequence of the regression analysis, ıt has been revealed that has a meaningful and positive effect on attitudes towards the cockpit management of the pilot's autocratic leadership style; on attitudes towards individual performance in stress, fatigue and emergency situations of democratic leadership style; on attitudes towards communication, coordination and teamwork of libertarian leadership style. It is thought that the study will contribute to the understanding of the "leadership approaches of pilots" in crew resource management practices and thus contribute to flight safety.

Optimization of Management Mode of Small- and Medium-Sized Enterprises Based on Decision Tree Model

Decision tree algorithm is a common classification algorithm in data mining technology, and its results are usually expressed in the form of if-then rules. The C4.5 algorithm is one of the decision tree algorithms, which has the advantages of easy to understand and high accuracy, and the concept of information gain rate is added compared with its predecessor ID3 algorithm. After theoretical analysis, C4.5 algorithm is chosen to analyze the performance appraisal results, and the decision tree for performance appraisal is generated by collecting data, data preprocessing, calculating information gain rate, determining splitting attributes, and postpruning. The system is developed in B/S architecture, and an R&D project management system and platform that can realize performance assessment analysis are built by means of visualization tools, decision tree algorithm, and dynamic web pages. The system includes information storage, task management, report generation, role authority control, information visualization, and other management information system functional modules. They can realize the project management functions such as project establishment and management, task flow, employee information filling and management, performance assessment system establishment, report generation of various dimensions, management cockpit construction. With decision tree algorithm as the core technology, the system obtains scientific and reliable project management information with high accuracy and realizes data visualization, which can assist enterprises to establish a good management system in the era of big data.

Development of a balanced scorecard as a strategic performance measurement system for clinical radiology as a cost center

ObjectivesTo develop a goal-oriented indicator system based on the balanced scorecard (BSC) concept, which takes into account the perspectives of the referring physician and patient and emphasizes the focus on the internal processes of the radiology department.MethodsDevelopment of a BSC occurred in six steps: (Step 1) strengths/weaknesses and opportunities/risks (SWOT-) analysis of the radiology department, (Step 2) setting-specific objectives (model, core values, key objective) followed by the development of 4 perspectives, (Step 3) and definition of strategic issues oriented to the value-added chain of the processes of the radiology department. (Step 4) Creation of a “Strategy Map” with regard to the perspective and their cause–effect relationships. (Step 5) Development of an automated key performance indicator (KPI) cockpit for the monitoring, reporting, and management scorecard.ResultsA total of 10 success factors were identified using SWOT analysis. The core values include high quality in clinical, teaching, and research areas. The radiological value-added chain is composed of three processing steps. 1. registration, 2. examination, and 3. reading/X-ray demonstration. Three action programs were derived: 1. increase competency (e.g., specialist standard), 2. improve referring physician/patient satisfaction, 3. increase productivity. Daily process monitoring was added to the management cockpit as a monitoring scorecard. The scorecard comprises 18 KPIs and is automatically updated every month. The annual management scorecard comprises 10 KPIs.ConclusionsThe BSC makes it possible to implement a strategy for radiology that is strongly oriented toward the requirements of the referring physicians and the demands of patients.

Automation of Ergonomic Expertise of the Information Management and Cockpit Management of a Promising Aircraft

The article deals with the automation of the ergonomic examination procedure (EE) of the Data-Control Field (DCF) of the cockpit of promising combat aircraft using artificial intelligence technologies. A balanced combination of aircraft control algorithms, its complex of on-board equipment and weapons, as well as artificial intelligence technologies provides information support for the aircraft crew. The relevance of the ergonomic assessment of DCF at all stages of the aircraft designing and operation is noted. The features of the EE of the DCF of cockpit, goals and objectives, as well as methods of examination are described. EE are monitoring and evaluating the completeness and correctness of the implementation of ergonomic requirements for the designed aircraft and substantiating possible ways to improve the ergonomic characteristics of the aircraft. EE includes systemic and design issues, among which the important issues are the choice of DCF structure. EE technology elements are considered. The tasks of the automated EE system are listed: the assessment of human-machine interaction, quality of information support, the registration and assessment of cockpit geometric characteristics (visibility and reach) and operator’s functional state, formalization of parameters and the formation of an integral assessment. The system combines information, hardware and software into a single complex. A distinctive feature of the DCF EE is the a priori uncertainty of the source data. Models of the algebra of fuzzy sets allow to formalize the decision-making process during the EE. The integral assessment by the Analytic Hierarchy Process (AHP) method is described. AHP as a method for evaluating multicriteria alternatives is well known. The applicability of the method is noted in cases where the issuance of absolute estimates of alternatives by given criteria is difficult.

Application of the meta-modelling method in Business Intelligence

The article deals with the issue of conceptual modelling of the MOLAP database structures used in multidimensional data analysis for BI. Management information for decision-making purposes was collected in the MOLAP database and delivered to the user via the management cockpit. Building OLAP databases is discussed from the database designer point of view The meta model of the OLAP database was described in conceptual and logical terms. The work includes a critical analysis of the meta-model assumptions for the design of systems for multidimensional data analysis. A postulate to revise the classic meta-model was presented and a new type of relationship was proposed. The assumptions of the meta-model for modelling and simulating business decisions were presented, as well as the application of meta modeling to define business processes. Based on Gozinto graphs, the meta model of structural and technological developments was defined

Intelligent Decision Management for Architecting Service-Dominant Digital Products

New business opportunities appeared using the potential of the Internet and related digital technologies, like the Internet of Things, services computing, artificial intelligence, cloud, edge, and fog computing, social networks, big data with analytics, mobile systems, collaboration networks, and cyber-physical systems. Companies are transforming their strategy and product base, as well as their culture, processes and information systems to adopt digital transformation or to approach for digital leadership. Digitalization fosters the development of IT environments with many rather small and distributed structures, like the Internet of Things, Microservices, or other micro-granular elements. Digitalization has a substantial impact for architecting the open and complex world of highly distributed digital services and products, as part of a new digital enterprise architecture, which structure and direct service-dominant digital products and services. The present research paper investigates mechanisms for supporting the evolution of digital enterprise architectures with user-friendly methods and instruments of interaction, visualization, and intelligent decision management during the exploration of multiple and interconnected perspectives by an architecture management cockpit.

Factors influencing strategy implementation decisions: an evaluation of a balanced scorecard cockpit, intelligence, and knowledge

Successful strategy implementation is no less important than designing the strategy, but it has long been bemoaned that managerial attention on the implementation stage is low and the failure rate is high. By interpreting strategy implementation as a dynamic decision-making task and building on complex problem solving and performance measurement research, this study investigates whether factors such as a balanced scorecard (BSC) cockpit, intelligence, and knowledge explain differences in strategy implementation performance. Using a computer-based, feedback-rich system dynamics business game, the participants were placed in a top manager position. Their task was to implement a given strategy as best they could, which meant translating strategy into operational decisions over a period of 10 years. One experimental group was equipped with a BSC management cockpit that was designed according to suggestions of the inventors of the concept—Kaplan and Norton—and carefully tailored to the strategy, while the other group had to rely on a traditional report cockpit as an information source. Regression analysis did not yield significant performance differences between the groups. Instead, participants’ knowledge and general cognitive intelligence were found to have significant impacts on decision-making performance, supporting findings from previous dynamic decision-making research. This finding is related to the typical BSC cockpit design as originally suggested by Kaplan and Norton, which seems to provide insufficient strategy focus. Finally, avenues for future research are discussed.

Personal and Federated Cloud Management Cockpit

Following the Everything-as-a-Service paradigm, digital and physical assets such as software, data and hardware resources can be offered and delivered as services by their respective owners. The rise of service-oriented personal cloud computing requires new techniques for users to perform asset discovery, exchange and management. These techniques must be easy to use and yet powerful enough to result in largescale distributed systems over federated personal clouds. With CloudRemix, an interactive cockpit to manage personal clouds and their federations, we achieve a reduced reliance on central infrastructures and a raised balance of service provisioning and consumption. Attached to a novel local device discovery tool named FlexiSource, to a service registry and to a social network, the CloudRemix prototype demonstrates its utility to manage personal clouds in both social and market-driven environments.

Exploring the Pilot Reliability Certification Program and Changing Attitudes on Reducing Pilot Errors

The greatest opportunity to improve aviation safety is to focus on reducing human errors in the cockpit. This research evaluated whether there was knowledge gain and difference in attitudes toward reducing human error in the cockpit after implementation of the Pilot Reliability Certification (PRC) program at Federal Aviation Regulation (FAR) 135 air carriers and FAR 91 corporate flight departments. The program is a human factors training curriculum focused on personal vulnerabilities to human error and countermeasures in support of aviation safety. Three levels of measurement were used: reactions to training, a knowledge test, and a modified version of the cockpit management attitudes questionnaire to assess attitude change. A mixed-method approach was used with quantitative data to measure knowledge gain and attitude change along with qualitative data to explore pilot reactions to the training. A quasi-experimental group (n = 41) that completed the 2-day course was compared with a control group (n = 62). The control group showed no significant improvement in attitude related to crew resource management skills or the PRC objectives. The quasi-experimental group had significantly improved attitudes and knowledge gain. Reaction to training was positive, with pilots citing a strengthened human factors knowledge base as the greatest benefit. They thought that the training differed from previous human factors training by being more detailed and in depth. After taking the course, pilots said that they would be more conscious of evaluating themselves, their flying partners, and their attitudes.

Very Light Jets: Requirements for Pilot Qualification and Collegiate Aviation’s Role

This study examined how senior flight operations staff at Very Light Jet (VLJ) air taxi and manufacturing companies determine pilot experience levels, training, education and qualifications for their current and future flight operations. Additionally, this study examined how collegiate aviation may address the pilot training and education needs of the VLJ industry. Senior flight operations staffs at two VLJ air taxi operators and three VLJ manufacturers were interviewed regarding these issues. Results indicated that current pilot supply for commercial operations in VLJ aircraft were being met by pilots leaving regional airline operations and also from promotion within respective respondents’ current air taxi operations. Innovative mentoring programs designed for single-pilot VLJ commercial operations were not being routinely utilized in favor of the more traditional Captain and First Officer roles for gaining flight experience and advancement. Another operational implication for the traditional two-pilot crew versus single-pilot was to meet particular customer insurance requirements for multi-pilot crews. Respondents valued collegiate aviation’s past preparation of industry pilots and offered suggestions in adjusting curriculum away from traditional rote systems training to one of cockpit management. Results indicated that while there was no immediate need for formal relationships between VLJ industry and collegiate aviation, respondents were open to the idea of future collaboration.

The BT Risk Cockpit — a visual approach to ORM

As a global company with networks and consultancy arms that span most of the world, BT has many years of experience in operational risk management. This paper looks at the evolution from BT’s simple security risk management tools to an operational risk management cockpit — a highly interactive and visual tool for C-level executives addressing governance, risk and compliance in their organisations.

A roadmap towards healthcare information systems interoperability in Greece

The advantages of the introduction of information and communication technologies (ICT) in the complex healthcare sector are already well known and well stated in the past. It is common knowledge that in order to install any type of information system in healthcare, six main groups of issues have to be dealt with: organizational and cultural matters related to healthcare, technological gap between healthcare professionals and information science experts, legal requirements on the confidentiality of personal data, of patient related data and on data privacy, industrial and market position of healthcare informatics and interoperability complexity, lack of vision and leadership of the health care managers and health authorities and user acceptability and usability of the proposed information systems. In order to meet these issues stated above, a special focus group (Z3) performed an assessment of the situation of healthcare informatics in Greece and of the main key points that would lead to success. In that sense it is now common knowledge that Greece is lagging information and communication technology progress in healthcare because almost none of the above mentioned issues were dealt with. This assessment is the result of the interaction of more than 150 decision makers, medical informaticians, healthcare practitioners and other individual involved in healthcare. As a conclusion, this focus group resulted in 4 major propositions that will lead to healthcare informatics introduction with better success chances: focus on terminologies and standards, focus on interoperability and information systems sustainability, focus on clear goals and system metrics that can create a healthcare performance management cockpit, and focus on people and what they have to say, by creating a e-health forum. These conclusions were taken into consideration by the Greek government and are incorporated the IASYS project, the national healthcare informatics framework for the next ten years.

CHALLENGES AND OPPORTUNITIES FOR SYSTEM THEORY IN EMBEDDED CONTROLLER DESIGN

CHALLENGES AND OPPORTUNITIES FOR SYSTEM THEORY IN EMBEDDED CONTROLLER DESIGN

Management Cockpit War Room

Management Cockpit War Room

Cockpit and mission system modernization

An adaptable, integrated full glass cockpit and flight management system has been developed and is in production for application in multiple Sikorsky rotorcraft. The entire system was conceived, designed, tested and delivered in an unusually short time period. A systematic process was used to define the avionics system attributes, major capabilities, and cost targets up‐front and track them during the development program. First flight was achieved 12 months after contract start, and production deliveries commenced 5 months after first flight. The integrated glass cockpit has accumulated more than 9,000 flight hours in customer operations to date. This flexible system architecture allowed the team of Sikorsky and Rockwell Collins to reuse several blocks of existing military and civil application software, and to interface the various Avionics subsystems using industry standards. This proved to be a critical factor in allowing us to meet the compressed design and development schedule.

An Aeronautical Temporal GIS for Post‐Flight Assessment of Navigation Performance

This paper describes the design and development of an experimental GIS prototype that may be used to assist experienced pilots, student pilots and flight instructors for post‐flight evaluation of navigation performance. The system is developed as a GIS experimental application which employs geographical data derived from the Digital Chart of the World integrated with airspace data derived from the ICAO 1:500,000 Aeronautical Chart. Real‐time data are collected and integrated within a monitoring computing environment from external sensors which include GPS, altitude and relative motion sensors. This enables the generation of multi‐layered digital maps and navigation data capable of being rapidly re‐configured to enhance visualization by abstraction. The integration of real time navigation data with geographical data facilitates airborne decision‐making, cockpit management, and makes a valuable contribution to flight safety.

The Management Cockpit — The human interface for management software: reviewing 50 user sites over 10 years of experience

The Management Cockpit is a management assistance programme. It is an interface between managers and their software. This interface has the physical form of a com puterised meeting room. The Management Cockpit has evolved from the latest research programmes into Human Intelligence Management. It has been designed to amplify the intellectual productivity of the people that work with it. This example of an interface for Human Intelligence Management shows how useful it is for computer scientists to take account of the characteristics of human intel ligence when they design their software. The Management Cockpit runs with the SAP Strategic Enterprise Management software.

The Development and Use of a Generic Nonnormal Checklist With Applications in Ab Initio and Introductory Advanced Qualification Programs

This article describes the background to the development and use of a generic nornormal checklist having potential applications in ab initio pilot training, airline entry, or bridge training and in introductory Advanced Qualification Rogram pilot training. The associated training course is discussed first. The relevant checklist design criteria are then outlined. The general structure and content of nonnormal checklists are reviewed before the actual generic nonnormal checklist and its uses are examined. This article concludes by assessing the impact of the generic checklist on the acquisition of basic cockpit management skills and on subsequent aircraft type-specific simulator training.