using the list square method

MGT 4303 3/17/2022 Case Study Forecasting Passenger Arrivals at the Gotham operations analysts would like to forecast passenger ar International Airport rivals for next July, the airport's busiest travel month of the Since the terrorist attacks of 9/11 and the ensuing mee-year for the purpose of determining how many security sures by the federal Transportation Security Administra- checkpoints they should stall during the month in order tion ITSAI to increase airline security, airports have faced that waiting lines and times will not be excessively long the problem of long waiting lines and waiting times at secu- Demand for airline travel has generally been increasing rity gates. One of the key components of any effort by the during the past three years. There are two main con TSA to operationally improve airport security procedures courses at Gotham International, East and West, each serv- while reducing passenger waiting times and inconvenience ing different airlines. The following table shows passenger is forecasting passenger arrivals at security checkpoints in arrivals at the West concourse for 10 days selected ran- order to determine how many security checkpoints and domyl in two-hour segments from 4.00 1.10 10:00 Px. for staff are needed. At the Gotham International Airport, TSA the month of July for the past three years HA Buy 1 2 3 4 8-10 3200 3100 -- 1700 1800 220 100 1300 2000 1900 2000 2200 240 3700 1300 2- 1000 2000 1800 230 2100 190 2000 2300 30 2000 2000 ------ 1900 2200 1700 1900 2000 2100 1900 2001 2000 2000 3100 20 3100 200 3000 3100 2100 2000 1600 1500 2200 1700 1500 1200 1500 1600 200 270 1900 2100 2400 2000 2390 2400 1500 100 7900 100 200 201 11 ||||||||||| 11 2700 2400 230 2000 200 2000 20 3300 300 14 16 17 18 500 700 300 40 380 2780 3100 2200 2000 |||||||| 200 3000 200 200 2200 , 10 3100 000 box 200 2300 2200 -624 2000 2200 200 4400 3700 40 ES 4500 140 3 300 RENAR 400 252 2700 2500 2000 3000 200 4500 4000 00 200 4500 4900 4900 - 2900 2000 300 000 3100 3300 000 5700 00 2200 2000 3100 2000 4100 500 200 000 1200 Develop a forecast for daily passenger arrivals at the West concourse at Gotham for each time period for July of year 4. Discuss the various forecast model variations that might be used to develop this forecast