Back to norms, is an article that address the event of Black Swan, which is a very hard situation for airline industry, but it shows that there is some light at the end of the tunnel. that may recover soon.
Industry forecast for airlines 2025 world.pdfMohammed Awad
油
The document discusses predictions for the airline industry's performance in 2025, analyzing both pre-pandemic and post-pandemic data. It employs a two-stage forecasting model that maintains a 賊5% error margin while addressing the impacts of black swan events on aviation. Key forecasts include 10,072 billion revenue passenger kilometers (RPKs) and 12,525 billion available seat kilometers (ASKs), yielding an expected performance rate of 80.42% for the airline industry in 2025.
Profit Maximization for Multi stops operating ModelsMohammed Awad
油
The document discusses strategies for maximizing profits in a multi-stop airline operating model, focusing on the need to optimize fare structures and load factors. A case study examining the route LHR-IST-BOM-BKK demonstrates that increasing the lowest fare by 20% can turn losses into profits, highlighting the financial challenges faced by airlines, especially in competition with low-cost carriers. It concludes that careful configuration of aircraft and pricing strategies are essential for profitability in the airline industry.
Airport Retails in Aviation , The impact of Foot traffic on SalesMohammed Awad
油
This document outlines strategies for optimizing airport retail by understanding and analyzing foot traffic patterns and passenger behavior. It highlights the importance of factors such as airport layout, security processes, and traveler demographics in enhancing sales and customer experience. The document also discusses technology solutions and future trends in airport retail to improve operational efficiency and adapt to changing consumer preferences.
The document discusses the profound impact of the COVID-19 pandemic on the aviation industry, which faced total losses surpassing $200 billion from 2020 to 2022. It analyzes Cairo Airport's recovery trajectory, noting a significant projected growth in passenger traffic for 2024, with an expected annual growth rate of 17.58%. The text emphasizes the importance of adaptive forecasting models to accommodate the unpredictable nature of events like the pandemic and ensure effective planning for future growth.
Air Cargo Forecast 2023 for Aviation IndustryMohammed Awad
油
The document discusses air cargo forecasting for 2023, highlighting the impact of historical shocks on the industry and the need for reliable forecasting models. It outlines demand and capacity forecasts, emphasizing that the air cargo industry was stable prior to COVID-19, which has had a limited impact on its performance. Overall, the industry is currently utilizing about 50% of its capacity, with forecasting models aimed at minimizing error based on past data.
BCG Matrix Analysis for Airlines for period Dec 2019Mohammed Awad
油
The document outlines the development of a BCG (Boston Consulting Group) matrix for the top 15 airlines globally, serving as a strategic tool to categorize their business units based on market growth rate and market share. It explains the four quadrants of the BCG matrix: stars, cash cows, question marks, and dogs, and discusses their implications for strategic investment decisions within the aviation industry. Additionally, it emphasizes the importance of the Air Transport Monitor in providing timely economic indicators and performance metrics for informed decision-making.
The document provides an analysis of air cargo forecasting for 2023, discussing the demand and available capacity, while highlighting the impact of shocks like COVID-19 on the industry. It emphasizes that forecasting relies on stable economic conditions and uses historical data from 2017 to 2019 for model development, exploring both normal and displacement approaches. The forecast suggests that the air cargo industry utilizes about 50% of its capacity, with a load factor forecast of 49.42% for 2023.
Aviation Business Leader - Global Ceo ExcellenceMohammed Awad
油
Mohammed Hadi has been awarded Aviation Business Leader of the Year (Arabian Peninsula) by CEO Monthly's Global CEO Excellence Awards 2020. An independent research team conducted research into public sources to create a case file on Mohammed highlighting his performance, achievements, and contributions. The case file was presented to a judging panel who selected Mohammed based on evidence of his expertise in aviation, dedication to customer service, and commitment to excellence and innovation. The award executive congratulated Mohammed and looked forward to hearing back from him about the results.
The document discusses the impact of the COVID-19 pandemic on the aviation industry, highlighting significant financial losses and the importance of effective forecasting for recovery. It introduces the gravity model for predicting traffic demand, emphasizing its limitations due to data size and economic factors. The case study includes analysis on expected passenger traffic between Egypt and Mauritius, recommending collaborative efforts to enhance tourism through strategic planning and service development.
This document analyzes rush hour traffic patterns in Hong Kong over a 5-day period using live congestion data from TomTom. It aims to identify the repeated daily cycle when growth is leveled out. Analysis of the 120 data points found the highest traffic from 7-9am and 5-7pm on weekdays, with Friday evenings peaking higher likely due to people leaving work early. The summary concludes this short study was able to determine Hong Kong's typical working day rush hour cycle despite limited data, and that identifying these periods helps people plan trips to avoid delays.
Has Airline Forecasting changed forever?Mohammed Awad
油
The document discusses changes in airline forecasting, emphasizing the impact of unpredictable events like the COVID-19 pandemic and other 'black swan' occurrences on forecasting accuracy. It outlines the necessity for recovery evaluations for both domestic and international markets, highlighting that while domestic markets are nearing recovery, international markets are still hindered by travel restrictions. Overall, it projects a full recovery for the airline industry by 2024.
The document outlines the challenges and recovery projections for the airline industry, highlighting the significant losses incurred during the COVID-19 pandemic and the anticipated recovery timeline for various regions, particularly Dubai International Airport. It discusses forecasting methodologies, the concept of 'black swan' events, and the impact of economic fluctuations on air traffic. By 2024, recovery is expected, although lingering restrictions due to the pandemic and geopolitical tensions may affect certain areas.
The document discusses the importance of forecasting in planning electricity generation for OECD countries, emphasizing the use of seasonal patterns to set targets. It highlights that while most energy sources show positive trends, solar energy clearly reflects seasonality, with both solar and wind accounting for only 10% of global electricity generation. The analysis indicates that only summer and winter seasons significantly impact electricity generation forecasts.
The document discusses the significant impact of the COVID-19 pandemic on the airline industry, estimating total losses exceeding $200 billion from 2020 to 2022. While airlines have implemented severe cost-cutting measures and adapted their operations, signs of recovery are becoming apparent, with projected losses decreasing each year. Trend analyses of passenger data indicate substantial declines compared to pre-set targets for 2021.
The document outlines the impact of COVID-19 on the airline and air cargo industries, analyzing the recovery trends and seasonality patterns expected to stabilize by early 2024. It discusses the 'black swan' theory to contextualize the unpredictable nature of the pandemic's effects on aviation. Key findings indicate that while domestic operations are recovering in major countries such as China and the USA, the international sector, especially in Europe, continues to struggle.
The document analyzes the profitability of low-cost carrier Ryanair, highlighting the challenges in defining financial success amidst a competitive airline landscape. It discusses various factors influencing revenue, such as scheduled and ancillary income, and evaluates costs using the cost per available seat kilometer (CASK). The analysis concludes that despite maintaining a high load factor, Ryanair struggles with profitability, necessitating fare increases to achieve breakeven.
This document discusses using cost per available seat kilometer (CASK) and revenue per available seat kilometer (RASK) to evaluate the profitability of low-cost carriers like Norwegian. It presents a mapping table analyzing profits and losses across a range of CASK and load factor values. The analysis finds that with Norwegian's 2017 CASK of $0.05 per seat kilometer and 86.1% load factor, the airline is profitable, generating over $800,000 in profits. The mapping table is described as a powerful tool for airlines to clearly understand their financial situation based on costs and performance metrics.
The document examines the professional skills crucial for airline CEOs, emphasizing the prevalence of leaders with financial backgrounds due to the industry's financial complexities and slim profit margins. Analysis of 40 airline CEOs highlighted that essential skills include business strategy, management, and operational expertise, overshadowing financial skills. The findings suggest that strategic, managerial, and operational capabilities are more vital in navigating the challenges of the aviation sector.
The document discusses predicting passenger traffic flow for 50 routes from Rome Fiumicino Airport (FCO) for 2020. It examines seasonality patterns over three years of database information to provide a clear view of each route. The author notes that while many are discussing aviation industry recovery in a L-shape following the coronavirus pandemic, a more accurate phrase is "back to norms," as the new forecast trend line would likely involve a downward displacement from the previous forecast trend but maintain the same seasonality patterns. The author aims to enjoy examining the productivity of each FCO route for 2020 compared to normal seasonal patterns.
The document discusses forecasting passenger numbers for Toulouse Airport, emphasizing the importance of timely data collection and analysis. It presents two forecasting scenarios: the first with a preset target of 9,673,392 passengers and an annual growth of 1.2%, and the second as an optimal scenario projecting 9,969,622 passengers with 2.42% growth. The analysis is based on data trend models and aims to provide reliable targets for future planning.
The document discusses forecasting passenger numbers for 2020 at Aeroporti di Roma (FCO) airport. It proposes two scenarios: 1) a preset annual target of 45,062,311 passengers with 4.2% annual growth, and 2) an optimal solution of 45,210,976 passengers. While both scenarios appear fair, the first is recommended to avoid the risk of over-forecasting passenger growth.
Predicting Singapore Tourism Market 2020 Mohammed Awad
油
The document discusses the impact of seasonality on the Singapore tourism market, particularly focusing on European countries. It emphasizes that seasonality leads to fluctuations in visitor numbers due to various factors, including country stability and service quality. The choice of Singapore for this analysis is attributed to data availability and transparent policies.
The document discusses setting Key Performance Indicators (KPIs) to measure airport performance, emphasizing the importance of forecast accuracy, targeting traffic flow, and analyzing deviations in actual figures versus targets for improved management. Case studies from various airports, including Heathrow, Dublin, and Montreal, illustrate how the R-squared value and performance indicators help determine good or poor performance, categorized by color-coded metrics. The document underscores the necessity of defining appropriate target levels for each airport to ensure effective monitoring and performance assessment.
Mohammed Salem Awadh provides forecasts for passenger traffic at Changi International Airport for 2018-2020. For annual forecasting, two trend models are used to minimize data discrepancies and set accurate targets. For monthly forecasting, seasonality patterns are determined without constraints. The document discusses two scenarios for each year, recommending the scenario with the lower predicted growth to avoid overestimating passenger levels. Overall, the forecasts provide a way to set targets and measure performance based on past traffic data and trends at Changi Airport.
This document discusses forecasting global air cargo volumes in 2020. It proposes two scenarios for predicting 2020 air cargo tonne kilometers (CTKs):
Scenario 1 sets the annual target at 211 billion CTKs. Scenario 2 uses two trend models to analyze CTK data from 2017-2019 and recommends an optimum target of 246 billion CTKs for 2020. The document recommends selecting the scenario 2 target as it uses recent data trends to more accurately forecast 2020 volumes.
This document summarizes an email informing Mohammed Hadi of Yemenia-Yemen Airways that the company has won two awards from the 2018 Air Transport Awards: the Aviation Innovation Award 2018 and the Award for Outstanding Achievement in Aviation. The email congratulates Hadi and Yemenia-Yemen Airways on the recognition. It also provides details on the standard publicity package that comes with winning the awards, as well as additional promotional options and packages that are available for purchase to further publicize and celebrate the awards victory.
The document discusses the impact of the COVID-19 pandemic on the aviation industry, highlighting significant financial losses and the importance of effective forecasting for recovery. It introduces the gravity model for predicting traffic demand, emphasizing its limitations due to data size and economic factors. The case study includes analysis on expected passenger traffic between Egypt and Mauritius, recommending collaborative efforts to enhance tourism through strategic planning and service development.
This document analyzes rush hour traffic patterns in Hong Kong over a 5-day period using live congestion data from TomTom. It aims to identify the repeated daily cycle when growth is leveled out. Analysis of the 120 data points found the highest traffic from 7-9am and 5-7pm on weekdays, with Friday evenings peaking higher likely due to people leaving work early. The summary concludes this short study was able to determine Hong Kong's typical working day rush hour cycle despite limited data, and that identifying these periods helps people plan trips to avoid delays.
Has Airline Forecasting changed forever?Mohammed Awad
油
The document discusses changes in airline forecasting, emphasizing the impact of unpredictable events like the COVID-19 pandemic and other 'black swan' occurrences on forecasting accuracy. It outlines the necessity for recovery evaluations for both domestic and international markets, highlighting that while domestic markets are nearing recovery, international markets are still hindered by travel restrictions. Overall, it projects a full recovery for the airline industry by 2024.
The document outlines the challenges and recovery projections for the airline industry, highlighting the significant losses incurred during the COVID-19 pandemic and the anticipated recovery timeline for various regions, particularly Dubai International Airport. It discusses forecasting methodologies, the concept of 'black swan' events, and the impact of economic fluctuations on air traffic. By 2024, recovery is expected, although lingering restrictions due to the pandemic and geopolitical tensions may affect certain areas.
The document discusses the importance of forecasting in planning electricity generation for OECD countries, emphasizing the use of seasonal patterns to set targets. It highlights that while most energy sources show positive trends, solar energy clearly reflects seasonality, with both solar and wind accounting for only 10% of global electricity generation. The analysis indicates that only summer and winter seasons significantly impact electricity generation forecasts.
The document discusses the significant impact of the COVID-19 pandemic on the airline industry, estimating total losses exceeding $200 billion from 2020 to 2022. While airlines have implemented severe cost-cutting measures and adapted their operations, signs of recovery are becoming apparent, with projected losses decreasing each year. Trend analyses of passenger data indicate substantial declines compared to pre-set targets for 2021.
The document outlines the impact of COVID-19 on the airline and air cargo industries, analyzing the recovery trends and seasonality patterns expected to stabilize by early 2024. It discusses the 'black swan' theory to contextualize the unpredictable nature of the pandemic's effects on aviation. Key findings indicate that while domestic operations are recovering in major countries such as China and the USA, the international sector, especially in Europe, continues to struggle.
The document analyzes the profitability of low-cost carrier Ryanair, highlighting the challenges in defining financial success amidst a competitive airline landscape. It discusses various factors influencing revenue, such as scheduled and ancillary income, and evaluates costs using the cost per available seat kilometer (CASK). The analysis concludes that despite maintaining a high load factor, Ryanair struggles with profitability, necessitating fare increases to achieve breakeven.
This document discusses using cost per available seat kilometer (CASK) and revenue per available seat kilometer (RASK) to evaluate the profitability of low-cost carriers like Norwegian. It presents a mapping table analyzing profits and losses across a range of CASK and load factor values. The analysis finds that with Norwegian's 2017 CASK of $0.05 per seat kilometer and 86.1% load factor, the airline is profitable, generating over $800,000 in profits. The mapping table is described as a powerful tool for airlines to clearly understand their financial situation based on costs and performance metrics.
The document examines the professional skills crucial for airline CEOs, emphasizing the prevalence of leaders with financial backgrounds due to the industry's financial complexities and slim profit margins. Analysis of 40 airline CEOs highlighted that essential skills include business strategy, management, and operational expertise, overshadowing financial skills. The findings suggest that strategic, managerial, and operational capabilities are more vital in navigating the challenges of the aviation sector.
The document discusses predicting passenger traffic flow for 50 routes from Rome Fiumicino Airport (FCO) for 2020. It examines seasonality patterns over three years of database information to provide a clear view of each route. The author notes that while many are discussing aviation industry recovery in a L-shape following the coronavirus pandemic, a more accurate phrase is "back to norms," as the new forecast trend line would likely involve a downward displacement from the previous forecast trend but maintain the same seasonality patterns. The author aims to enjoy examining the productivity of each FCO route for 2020 compared to normal seasonal patterns.
The document discusses forecasting passenger numbers for Toulouse Airport, emphasizing the importance of timely data collection and analysis. It presents two forecasting scenarios: the first with a preset target of 9,673,392 passengers and an annual growth of 1.2%, and the second as an optimal scenario projecting 9,969,622 passengers with 2.42% growth. The analysis is based on data trend models and aims to provide reliable targets for future planning.
The document discusses forecasting passenger numbers for 2020 at Aeroporti di Roma (FCO) airport. It proposes two scenarios: 1) a preset annual target of 45,062,311 passengers with 4.2% annual growth, and 2) an optimal solution of 45,210,976 passengers. While both scenarios appear fair, the first is recommended to avoid the risk of over-forecasting passenger growth.
Predicting Singapore Tourism Market 2020 Mohammed Awad
油
The document discusses the impact of seasonality on the Singapore tourism market, particularly focusing on European countries. It emphasizes that seasonality leads to fluctuations in visitor numbers due to various factors, including country stability and service quality. The choice of Singapore for this analysis is attributed to data availability and transparent policies.
The document discusses setting Key Performance Indicators (KPIs) to measure airport performance, emphasizing the importance of forecast accuracy, targeting traffic flow, and analyzing deviations in actual figures versus targets for improved management. Case studies from various airports, including Heathrow, Dublin, and Montreal, illustrate how the R-squared value and performance indicators help determine good or poor performance, categorized by color-coded metrics. The document underscores the necessity of defining appropriate target levels for each airport to ensure effective monitoring and performance assessment.
Mohammed Salem Awadh provides forecasts for passenger traffic at Changi International Airport for 2018-2020. For annual forecasting, two trend models are used to minimize data discrepancies and set accurate targets. For monthly forecasting, seasonality patterns are determined without constraints. The document discusses two scenarios for each year, recommending the scenario with the lower predicted growth to avoid overestimating passenger levels. Overall, the forecasts provide a way to set targets and measure performance based on past traffic data and trends at Changi Airport.
This document discusses forecasting global air cargo volumes in 2020. It proposes two scenarios for predicting 2020 air cargo tonne kilometers (CTKs):
Scenario 1 sets the annual target at 211 billion CTKs. Scenario 2 uses two trend models to analyze CTK data from 2017-2019 and recommends an optimum target of 246 billion CTKs for 2020. The document recommends selecting the scenario 2 target as it uses recent data trends to more accurately forecast 2020 volumes.
This document summarizes an email informing Mohammed Hadi of Yemenia-Yemen Airways that the company has won two awards from the 2018 Air Transport Awards: the Aviation Innovation Award 2018 and the Award for Outstanding Achievement in Aviation. The email congratulates Hadi and Yemenia-Yemen Airways on the recognition. It also provides details on the standard publicity package that comes with winning the awards, as well as additional promotional options and packages that are available for purchase to further publicize and celebrate the awards victory.