PPT-Predicting the performance of US Airline carriers

Applied Business Analytics amp Business Intelligence BIT 5534 Submitted by Group 4 Akash Yadav amp Suresh Malhotra Agenda Virginia Tech 2 Business Problem Problem Insufficient information availability on Flight carriers amp their flights. S with 2001 revenues of 9 billion and more than 40000 employees worldwide The core mission of Continental s Technical Operations division profiled in this case is the maintenance and repair of its aircraft To perform this Tech Ops relies on a vast bo presented by. Franko. . Kulaga. Guergana Anguelova. Moritz . Broelz. Agenda. Introduction. Project Factors. Methodology. Results. Sensitivity Analysis. Recommendations. Discussion. Introduction. Ocean Carriers owns and operates Capesize vessels that carry iron ore worldwide.. BY: MITCHELL A. VASIN, ESQ.. ABOUT YOUR PRESENTER. AVIATION EXPERIENCE. Started taking flying lessons in high school (1990). BS Aeronautical Science 1996 ERAU Prescott. Airline Transport Pilot, type rated in ATR42/72, B737, A320 series. Ed McKenna. Director, Ultramar Strategic Solutions. November 19. th. , 2015. NJBTA Education Day: Agenda. Introduction. GDP Growth. 1H15 Global Commercial Aviation Results. Regional Updates. Europe / Middle East. January 2017. Summary. Number of flights recorded: . 450,017. (YoY increase of 0.94%). Busiest airport: . ATL. Most popular route: . SFO – LAX. Airline with the best on-time performance: . Hawaiian Airlines. ECE 539. Presented: 12/14/2010. Joseph Quigley. Objective. Train a multi-layer . perceptron . network to predict the regular season records of NFL Football teams. (Within a range.). Wins in a season:. Spring 2017. 2. Agenda. Who Is FMCSA?. What Is . Compliance, Safety. , Accountability (CSA)?. CSA’s Three Core Components. Improving Your Safety Data. The Federal Motor Carrier Safety Administration (FMCSA) is a transportation agency with over 1,000 Federal employees and . . THE PURPOSE OF THIS STUDY. Reservation system in Airline industry . Three Letter code for International City and Country . Three Letters Code for Month. International Airport. Call Sign Alphabetical. Criterion-Related Validation. Regression & Correlation. What’s the difference between the two?. Significance . Testing. Type I and type II errors. Statistical power to reject the null. . Chapter 6 Predicting Future Performance. OBJECTIVES. The evaluation of airline performance is done basically across two metrics :. 1. Financial performance. . 2.Operational performance. 1.OPERATIONAL PERFORMANCE . We base the entire discussion on the performance of AIR INDIA over the years 2003-04 and 2002-03. Criterion-Related Validation. Regression & Correlation. What’s the difference between the two?. Significance . Testing. Type I and type II errors. Statistical power to reject the null. . Chapter 6 Predicting Future Performance. Statistics. Thursday, September 10, 2015. Briefing on Aviation . Data Programs. Bureau . of Transportation . Statistics. US . Department of Transportation. Bill . Chadwick, . Director. Office . of Airline Information (OAI. ABOUT YOUR PRESENTER. AVIATION EXPERIENCE. Started taking flying lessons in high school (1990). BS Aeronautical Science 1996 ERAU Prescott. Airline Transport Pilot, type rated in ATR42/72, B737, A320 series. Welcome to the:. U.S. Department of Transportation. Bureau . of Transportation . Statistics (BTS). Office of Airline . Information (OAI). Webinar. Behind the Numbers. To Listen to the Webinar, please use:.