Download or read book The Predictive Airliner written by Andrew W. Pearson and published by . This book was released on 2018-08-20 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Predictive Airliner is an airline that utilizes the latest technology to deliver an exceptional personalized experience to each and every passenger it flies. Today, technology such as AI, Machine Learning, Augmented Reality, IoT, Real-time stream processing, social media, streaming analytics and wearables are altering the Customer Experience (CX) landscape and airlines need to jump aboard this fast moving technology or run the risk of being left out in the cold. The Predictive Airliner reveals how these and other technologies can help shape the customer journey. The book details how the five types of analytics-descriptive, diagnostic, predictive, prescriptive, and edge analytics-affect not only the customer journey, but also just about every operational function within an airline. An IoT-connected airline can make its operations smart. Data collected at multiple company and customer touch points can be utilized to increase customer satisfaction, as well as make the airline more profitable. The book lays out a blueprint for airlines to use to build a better overall operation. By utilizing AI, machine learning, and deep learning airlines can monitor the health of their airplanes, ensure employee satisfaction, and deliver an award-winning customer experience every time. Analytical processes like decision trees, k-means clustering, logistic regression and neural networks are explained in detail, with specific use cases detailing how they are used profitably in the aviation industry. Edge analytics, sentiment analysis, clickstream analysis, and location analysis are seen through a customer intelligence lens to ensure passengers are treated in a personalized way that will not only increase loyalty but turn passengers into apostles for the airlines they chose to fly on. Connected devices can help with inventory optimization, supply chain management, labor management, waste management, as well as keep the airline's data centers green and its energy use smart. Social media is no longer a vanity platform, but rather it is a place to both connect with current customers, as well as court new ones. It is also a powerful branding channel that can be utilized to both understand an airline's position in the market, as well as a place to benchmark its position against competitors. The Predictive Airliner reveals how airlines can utilize this channel in a multitude of ways to connect with customers, as well as help in moments of crisis. Today, technology moves at break-neck speed and it can offer the potential of anticipatory capabilities, but it also comes with a confusing variety of technological terms--Big Data, Cognitive Computing, CX, Data Lakes, Hadoop, Kafka, Personalization, Spark, etc., etc. The Predictive Airliner will help airline executives make sense of it all, so that he or she can cut through the confusing clutter of technological jargon and understand why a Spark-based real-time stream processing data stream might be preferable to a TIBCO Streambase one, or none at all. The final chapter explains how an airline can utilize the concept of the customer journey as a roadmap to increase customer satisfaction. This book will help airline executives break through the technological clutter so that they can deliver an unrivaled customer experience to each and every passenger who steps aboard their planes.

Download or read book Proceedings of the 23rd International Conference on Industrial Engineering and Engineering Management 2016 written by Ershi Qi and published by Springer. This book was released on 2017-03-07 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: International Conference on Industrial Engineering and Engineering Management is sponsored by Chinese Industrial Engineering Institution, CMES, which is the unique national-level academic society of Industrial Engineering. The conference is held annually as the major event in this area. Being the largest and the most authoritative international academic conference held in China, it supplies an academic platform for the experts and the entrepreneurs in International Industrial Engineering and Management area to exchange their research results. Many experts in various fields from China and foreign countries gather together in the conference to review, exchange, summarize and promote their achievements in Industrial Engineering and Engineering Management fields. Some experts pay special attention to the current situation of the related techniques application in China as well as their future prospect, such as Industry 4.0, Green Product Design, Quality Control and Management, Supply Chain and logistics Management to cater for the purpose of low-carbon, energy-saving and emission-reduction and so on. They also come up with their assumption and outlook about the related techniques' development. The proceedings will offer theatrical methods and technique application cases for experts from college and university, research institution and enterprises who are engaged in theoretical research of Industrial Engineering and Engineering Management and its technique's application in China. As all the papers are feathered by higher level of academic and application value, they also provide research data for foreign scholars who occupy themselves in investigating the enterprises and engineering management of Chinese style.

Download or read book The Effect of Market Structure on the Empirical Distribution of Airline Fares written by Jeremy A. Verlinda and published by . This book was released on 2005 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book AIRLINE PASSENGER SATISFACTION Analysis and Prediction Using Machine Learning and Deep Learning with Python written by Vivian Siahaan and published by BALIGE PUBLISHING. This book was released on 2023-08-08 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the project "Airline Passenger Satisfaction Analysis and Prediction Using Machine Learning and Deep Learning with Python," the aim was to analyze and predict passenger satisfaction in the airline industry. The project began with an extensive data exploration phase, wherein the dataset containing various features related to passenger experiences was thoroughly examined. The dataset was then preprocessed, ensuring data cleanliness and preparing it for further analysis. One of the initial steps involved understanding the distribution of categorized features within the dataset. By visualizing the distribution of these features, insights were gained into the prevalence of different categories, providing a preliminary understanding of passenger preferences and experiences. For the prediction aspect, machine learning models were employed, and a Grid Search approach was implemented to fine-tune hyperparameters and optimize model performance. This process allowed the identification of the best-performing model configuration, enhancing the accuracy of passenger satisfaction predictions. The models used are Logistic Regression, Support Vector Machines, K-Nearest Neighbors, Decision Trees, Random Forests, Gradient Boosting, Extreme Gradient Boosting, Light Gradient Boosting. Going beyond traditional machine learning, a Deep Learning approach was introduced using an Artificial Neural Network (ANN). This model, designed to capture intricate patterns and relationships within the data, showcased the potential of deep learning for improving predictive accuracy. The evaluation of both machine learning and deep learning models was centered around key metrics. The accuracy score was a primary indicator of model performance, reflecting the ratio of correctly predicted passenger satisfaction outcomes. Additionally, the Classification Report provided a comprehensive overview of precision, recall, and F1-score for each category, shedding light on the model's ability to classify passenger satisfaction levels accurately. Visualizing the results played a pivotal role in the project. The plotted Training and Validation Accuracy and Loss graphs offered insights into the convergence and generalization capabilities of the models. These visualizations helped in understanding potential overfitting or underfitting issues and guided the fine-tuning process. To assess the models' predictive performance, a Confusion Matrix was constructed. This matrix presented a clear breakdown of correct and incorrect predictions, facilitating an understanding of where the model excelled and where it struggled. Furthermore, scatter plots were utilized to visually compare the predicted values against the actual true values, offering a tangible representation of the models' effectiveness. Throughout the project, rigorous data preprocessing and feature engineering were integral to improving model accuracy. Features were appropriately scaled, and categorical variables were transformed using techniques like one-hot encoding, enabling models to efficiently learn from the data. The project also focused on the interpretability of the models, enabling stakeholders to comprehend the factors influencing passenger satisfaction predictions. This interpretability was essential for making informed business decisions based on the model insights. In conclusion, the project showcased a comprehensive approach to analyzing and predicting airline passenger satisfaction. Through meticulous data exploration, feature distribution analysis, machine learning model selection, hyperparameter tuning, and deep learning implementation, the project provided valuable insights for the airline industry. By utilizing a combination of machine learning and deep learning techniques, the project demonstrated a holistic approach to understanding and enhancing passenger experiences and satisfaction levels.

Download or read book Proceedings of the International e Conference on Intelligent Systems and Signal Processing written by Falgun Thakkar and published by Springer Nature. This book was released on 2021-08-13 with total page 799 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides insights into the Third International Conference on Intelligent Systems and Signal Processing (eISSP 2020) held By Electronics & Communication Engineering Department of G H Patel College of Engineering & Technology, Gujarat, India, during 28–30 December 2020. The book comprises contributions by the research scholars and academicians covering the topics in signal processing and communication engineering, applied electronics and emerging technologies, Internet of Things (IoT), robotics, machine learning, deep learning and artificial intelligence. The main emphasis of the book is on dissemination of information, experience and research results on the current topics of interest through in-depth discussions and contribution of researchers from all over world. The book is useful for research community, academicians, industrialists and postgraduate students across the globe.

Download or read book Technical Report written by Human Resources Research Organization and published by . This book was released on with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Proceedings of the First International Conference on Aeronautical Sciences Engineering and Technology written by Abid Ali Khan and published by Springer Nature. This book was released on 2024-01-26 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains forty-one revised and extended research articles, written by prominent researchers participating in the International Conference on Aeronautical Sciences, Engineering and Technology 2023, held in Muscat, October 3-5 2023. It focuses on the latest research developments in aeronautical applications, avionics systems, advanced aerodynamics, atmospheric chemistry, emerging technologies, safety management, unmanned aerial vehicles, and industrial applications. This book offers the state of the art of notable advances in engineering technologies and aviation applications and serves as an excellent source of reference for researchers and graduate students.

Download or read book Advanced Manufacturing and Automation XIII written by Yi Wang and published by Springer Nature. This book was released on with total page 774 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Improved Forecast Accuracy in Airline Revenue Management by Unconstraining Demand Estimates from Censored Data written by Richard H. Zeni and published by Universal-Publishers. This book was released on 2001 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accurate forecasts are crucial to a revenue management system. Poor estimates of demand lead to inadequate inventory controls and sub-optimal revenue performance. Forecasting for airline revenue management systems is inherently difficult. Competitive actions, seasonal factors, the economic environment, and constant fare changes are a few of the hurdles that must be overcome. In addition, the fact that most of the historical demand data is censored further complicates the problem. This dissertation examines the challenge of forecasting for an airline revenue management system in the presence of censored demand data. This dissertation analyzed the improvement in forecast accuracy that results from estimating demand by unconstraining the censored data. Little research has been done on unconstraining censored data for revenue management systems. Airlines tend to either ignore the problem or use very simple ad hoc methods to deal with it. A literature review explores the current methods for unconstraining censored data. Also, practices borrowed from areas outside of revenue management are adapted to this application. For example, the Expectation-Maximization (EM) and other imputation methods were investigated. These methods are evaluated and tested using simulation and actual airline data. An extension to the EM algorithm that results in a 41% improvement in forecast accuracy is presented.

Download or read book Guide to Big Data Applications written by S. Srinivasan and published by Springer. This book was released on 2017-05-25 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics, biology, energy, healthcare, and business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.

Download or read book Leading In A Digitally Disruptive World written by Yew Haur Lee and published by World Scientific. This book was released on 2023-10-16 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital disruptions are occurring every day in an increasingly volatile, uncertain, complex, and ambiguous business environment. Organizations need to respond to these disruptive changes and proactively develop their own disruptions for organizational transformation and growth. This book presents the market-driven forces of digital disruptions propelled by the Fourth Industrial Revolution, which has dramatically improved the efficiency of business decision-making and organizational processes.Leading in a Digitally Disruptive World discusses the accelerators of digital disruptions; the soft skills, knowledge, and competencies for digital success; the business revenue generators for digital impact; and the typology and practices of sustainability and ethics for business growth. In addition, the book covers the digital leadership challenges associated with operating in a digitally disruptive environment and provides innovative solutions on how organizations and knowledge workers can prepare themselves to reap the benefits of the digital evolution by designing, managing, and leading organizations in a future-forward manner.

Download or read book Re platforming the Airline Business written by Nawal K. Taneja and published by Routledge. This book was released on 2019-01-23 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Airline business models continue to be shaped by powerful forces relating to customers, complexities and regulators. However, at the same time, there are emerging technologies that can help airlines cater to the needs of their changing customer bases and manage the complexities of the business. In his previous books, Nawal Taneja has deliberated on these forces and how the airline industry is poised for disruptive change that could come from within or outside of the industry. He also discussed the point that the airline planning systems and process in use are neither contemporary nor sufficiently integrated to meet the changing needs of customers who now are looking for outcomes, not products. In Re-platforming the Airline Business: To Meet Travelers' Total Mobility Needs, Taneja not only reiterates the need for transformation of the airline business but provides a map of the transformational process. This book proposes that different sectors of the aviation industry, particularly airlines and airports, should consider using not just a wide array of technologies (Artificial Intelligence, biometrics, blockchain, and the Internet of Things), but also specifically-designed customer-centric platforms to make informed decisions and to develop and implement transformative strategies to meet travelers’ total mobility needs. These technologies and platforms can enable airlines and airports to achieve scale and scope as well as agility and flexibility (through strategic partnerships) to offer intelligently aggregated travel-related services right now. Subsequently, they will enable various members in the travel chain to provide solutions to travelers’ global mobility requirements, effectively and with better experiences.

Download or read book The Evolution of the US Airline Industry written by Eldad Ben-Yosef and published by Springer Science & Business Media. This book was released on 2005-10-24 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: For over three decades the airline industry has continued to maintain a high profile in the public mind and in public policy interest. This high profile is probably not surprising. There does seem to be something inherently newsworthy about airplanes and the people and companies that fly them. The industry was one of the first major industries in the United States to undergo deregulation, in 1978. It thereby transitioned from a closely regulated sector (the former Civil Aeronautics Board tightly controlled everyt thing from prices to routes to entry) to one that is largely market oriented. The incumbent carriers transformed themselves from the point-to-point operators that the CAB had required to the hub-and-spokes structures that took better advantage of their network characteristics. Further, they transformed their pricing from the quite simple structures that the CAB had required to the highly differentiated/segmented pricing structures (“yield management”) that reached an apogee in the late 1990s. Some ca arriers, like American, Delta, and United, were better at this transition; others, like Pan American, TWA, and Eastern, were not. What the incumbent carriers did not do, however, was deal with their costly wage and work rules structures, which were an enduring legacy of their regulatory period. This legacy, when combined with the high-fare end of the yield-management pricing structure, has made them vulnerable to entry by new carriers with lower cost structures.

Download or read book Data Science written by Qinglei Zhou and published by Springer. This book was released on 2018-09-10 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set (CCIS 901 and 902) constitutes the refereed proceedings of the 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018 (originally ICYCSEE) held in Zhengzhou, China, in September 2018. The 125 revised full papers presented in these two volumes were carefully reviewed and selected from 1057 submissions. The papers cover a wide range of topics related to basic theory and techniques for data science including mathematical issues in data science, computational theory for data science, big data management and applications, data quality and data preparation, evaluation and measurement in data science, data visualization, big data mining and knowledge management, infrastructure for data science, machine learning for data science, data security and privacy, applications of data science, case study of data science, multimedia data management and analysis, data-driven scientific research, data-driven bioinformatics, data-driven healthcare, data-driven management, data-driven eGovernment, data-driven smart city/planet, data marketing and economics, social media and recommendation systems, data-driven security, data-driven business model innovation, social and/or organizational impacts of data science.

Download or read book Airline Transport Pilot Preferences for Predictive Information written by National Aeronautics and Space Administration (NASA) and published by Createspace Independent Publishing Platform. This book was released on 2018-07-02 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: This experiment assessed certain issues about the usefulness of predictive information: (1) the relative time criticality of failures, (2) the subjective utility of predictive information for different parameters or sensors, and (3) the preferred form and prediction time for displaying predictive information. To address these issues, three separate tasks were administered to 22 airline pilots. As shown by the data, these pilots preferred predictive information on parameters they considered vital to the safety of the flight. These parameters were related to the checklists performed first for alert messages. These pilots also preferred to know whether a parameter was changing abnormally and the time to a certain value being reached. Furthermore, they considered this information most useful during the cruise, the climb, and the descent phases of flight. Lastly, these pilots preferred the information to predict as far ahead as possible. Trujillo, Anna C. Langley Research Center...

Download or read book The Captive Helicopter as a Training Device written by Paul W. Caro and published by . This book was released on 1968 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research objective was to determine the effectiveness of a new device concept for helicopter contact flight training and the usefulness of such a device for predicting performance during subsequent flight training. The device was a commercially available captive helicopter attached to a ground effects machine. Two experimental groups of trainees received 3 1/4 or 7 1/4 hours of device training prior to primary helicopter training. In comparison with control groups, both device trained groups (a) were significantly less likely to be eliminated from subsequent flight training for reasons of flying deficiency; (b) required less flight training to attain the proficiency required to solo the helicopter; and (c) received higher grades during early training. Trainees who performed well on the training device tended to perform well during subsequent flight training. Instructors using devices such as this one need not be proficient in the helicopter used for subsequent flight training. (Author).

Download or read book Big Data Technologies and Applications written by Zeng Deze and published by Springer Nature. This book was released on 2021-04-08 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of the 10th International Conference on Big Data Technologies and Applications, BDTA 2020, and the 13th International Conference on Wireless Internet, WiCON 2020, held in December 2020. Due to COVID-19 pandemic the conference was held virtually. The 9 full papers of BDTA 2020 were selected from 22 submissions and present all big data technologies, such as storage, search and management. WiCON 2020 received 18 paper submissions and after the reviewing process 5 papers were accepted. The main topics include wireless and communicating networks, wireless communication security, green wireless network architectures and IoT based applications.