Homework Help is Here – Start Your Trial Now!
Business
Operations Management
FORECASTING AIRPORT PASSENGER ARRIVALS arrivals at security checkpoints in order to determine how many security checkpoints and staff are needed. At Berry International Airport (BEI), security analysts would like to forecast passenger arrivals for next July, the airport's busiest travel month of the year, for the purpose of deter- mining how many security checkpoints they should staff during the month so that waiting lines and times will not be excessively long. Demand for airline travel has gener- ally been increasing during the past 3 years. There are two main concourses at BEI, North and South, each serv- ing different airlines. The following table shows pas- senger arrivals at the South concourse for 10 days (selected randomly) in 2-hour segments from 4:00 A.M. to 10:00 P.M. for the month of July for the past 3 years. Since the terrorist attacks of 9/11 and because of the ensuing measures to increase airline security, airports have faced the problem of long waiting lines and waiting times at security gates. Waiting lines can be as long as hundreds of yards, and waiting times can sometimes be hours. In their efforts to reduce waiting lines and times, or at least to not have them become longer as airline de- mand increases, airports have analyzed their existing se- curity systems and sought quantitative solutions. One of the key components of any effort to operationally im- prove airport security procedures is forecasting passenger CASE PROBLEM 751 Day 4-6 A.M. 6-8 A.M. 8-10 A.M. 10–Noon Noon-2 P.M. 2-4 P.M. 4-6 P.M. 6-8 P.M. 8-10 P.M. 200 2700 2500 3100 3200 3300 2800 2800 Year One 1700 1800 2400 3200 3100 1 1400 1800 1600 800 1900 2300 2200 2400 2600 1900 2 1600 2000 1800 900 1100 300 1500 1500 1900 2200 1900 2100 2000 1500 1400 3 2500 3100 3400 3500 3100 1800 200 400 600 300 4 2200 2400 2100 1200 1000 1100 900 1700 1500 6. 1700 1900 7 1200 1500 2000 400 2700 3200 3300 3900 1000 1400 1100 1100 8. 2000 2500 3600 3100 1500 2000 2100 2500 2600 2300 2500 2600 2300 1900 1800 2400 2500 200 200 400 300 9. 2400 1600 2600 3100 10 200 Year Two 11 4100 2200 3400 3800 3500 3700 4000 2800 2700 1900 1200 1200 1200 12 3900 4300 2100 2400 3000 2600 2500 2400 3200 2000 300 400 700 300 200 13 2100 2400 2600 2900 3000 2500 14 2400 4100 2400 3300 3500 4000 3800 3900 4200 2600 2300 2700 15 16 1000 2700 3000 2500 2600 3100 900 4100 3800 3600 3700 2900 2400 3200 1100 500 300 200 200 17 18 3400 3600 3700 2000 3000 2800 2200 1000 2300 2200 2600 2400 3000 3100 2900 2800 3300 19 4000 1200 20 4000 2600 2700 1200 4400 4500 4500 4600 21 4400 2600 3300 3400 3400 3200 3300 3400 3600 3500 3500 3300 1200 1400 Year Three 4500 400 4200 4500 22 4300 2500 300 300 300 2700 1200 1300 23 4700 24 4600 4600 2500 25 4500 4300 2900 4400 4500 5100 4300 1500 400 600 3000 3100 3300 3400 3400 1500 1200 1100 26 4200 4300 4500 4200 3000 3300 2800 4000 3400 3700 4500 4300 4000 3500 27 300 400 500 28 4000 3100 3000 3600 4000 3900 3700 29 4900 4100 4200 1400 30 4700 4500 4100 1200 500 Develop a forecast for daily passenger arrivals at the South concourse at BEI for each time period for July of year 4. Discuss the various forecast model variations that might be used to develop this forecast.

FORECASTING AIRPORT PASSENGER ARRIVALS arrivals at security checkpoints in order to determine how many security checkpoints and staff are needed. At Berry International Airport (BEI), security analysts would like to forecast passenger arrivals for next July, the airport's busiest travel month of the year, for the purpose of deter- mining how many security checkpoints they should staff during the month so that waiting lines and times will not be excessively long. Demand for airline travel has gener- ally been increasing during the past 3 years. There are two main concourses at BEI, North and South, each serv- ing different airlines. The following table shows pas- senger arrivals at the South concourse for 10 days (selected randomly) in 2-hour segments from 4:00 A.M. to 10:00 P.M. for the month of July for the past 3 years. Since the terrorist attacks of 9/11 and because of the ensuing measures to increase airline security, airports have faced the problem of long waiting lines and waiting times at security gates. Waiting lines can be as long as hundreds of yards, and waiting times can sometimes be hours. In their efforts to reduce waiting lines and times, or at least to not have them become longer as airline de- mand increases, airports have analyzed their existing se- curity systems and sought quantitative solutions. One of the key components of any effort to operationally im- prove airport security procedures is forecasting passenger CASE PROBLEM 751 Day 4-6 A.M. 6-8 A.M. 8-10 A.M. 10–Noon Noon-2 P.M. 2-4 P.M. 4-6 P.M. 6-8 P.M. 8-10 P.M. 200 2700 2500 3100 3200 3300 2800 2800 Year One 1700 1800 2400 3200 3100 1 1400 1800 1600 800 1900 2300 2200 2400 2600 1900 2 1600 2000 1800 900 1100 300 1500 1500 1900 2200 1900 2100 2000 1500 1400 3 2500 3100 3400 3500 3100 1800 200 400 600 300 4 2200 2400 2100 1200 1000 1100 900 1700 1500 6. 1700 1900 7 1200 1500 2000 400 2700 3200 3300 3900 1000 1400 1100 1100 8. 2000 2500 3600 3100 1500 2000 2100 2500 2600 2300 2500 2600 2300 1900 1800 2400 2500 200 200 400 300 9. 2400 1600 2600 3100 10 200 Year Two 11 4100 2200 3400 3800 3500 3700 4000 2800 2700 1900 1200 1200 1200 12 3900 4300 2100 2400 3000 2600 2500 2400 3200 2000 300 400 700 300 200 13 2100 2400 2600 2900 3000 2500 14 2400 4100 2400 3300 3500 4000 3800 3900 4200 2600 2300 2700 15 16 1000 2700 3000 2500 2600 3100 900 4100 3800 3600 3700 2900 2400 3200 1100 500 300 200 200 17 18 3400 3600 3700 2000 3000 2800 2200 1000 2300 2200 2600 2400 3000 3100 2900 2800 3300 19 4000 1200 20 4000 2600 2700 1200 4400 4500 4500 4600 21 4400 2600 3300 3400 3400 3200 3300 3400 3600 3500 3500 3300 1200 1400 Year Three 4500 400 4200 4500 22 4300 2500 300 300 300 2700 1200 1300 23 4700 24 4600 4600 2500 25 4500 4300 2900 4400 4500 5100 4300 1500 400 600 3000 3100 3300 3400 3400 1500 1200 1100 26 4200 4300 4500 4200 3000 3300 2800 4000 3400 3700 4500 4300 4000 3500 27 300 400 500 28 4000 3100 3000 3600 4000 3900 3700 29 4900 4100 4200 1400 30 4700 4500 4100 1200 500 Develop a forecast for daily passenger arrivals at the South concourse at BEI for each time period for July of year 4. Discuss the various forecast model variations that might be used to develop this forecast.

Practical Management Science
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter12: Queueing Models
Section: Chapter Questions
Problem 59P
See similar textbooks
icon
Related questions
Question

give details calculation

Case Problem arrivals at security checkpoints in order to determine how many security checkpoints and staff are needed. At Berry International Airport (BEI), security analysts would like to forecast passenger arrivals for next July, the airport's busiest travel month of the year, for the purpose of deter- mining how many security checkpoints they should staff during the month so that waiting lines and times will not be excessively long. Demand for airline travel has gener- ally been increasing during the past 3 years. There are two main concourses at BEI, North and South, each serv- ing different airlines. The following table shows pas- senger arrivals at the South concourse for 10 days (selected randomly) in 2-hour segments from 4:00 A.M. to 10:00 P.M. for the month of July for the past 3 years. FORECASTING AIRPORT PASSENGER ARRIVALS Since the terrorist attacks of 9/11 and because of the ensuing measures to increase airline security, airports have faced the problem of long waiting lines and waiting times at security gates. Waiting lines can be as long as hundreds of yards, and waiting times can sometimes be hours. In their efforts to reduce waiting lines and times, or at least to not have them become longer as airline de- mand increases, airports have analyzed their existing se- curity systems and sought quantitative solutions. One of the key components of any effort to operationally im- prove airport security procedures is forecasting passenger CASE PROBLEM 751 Day 4-6 A.M. 6-8 A.M. 8–10 A.M. 10-Noon Noon-2 P.M. 2-4 P.M. 4-6 P.M. 6-8 P.M. 8-10 Р.М. Year One 1800 2000 1 2400 2700 3200 1400 1700 1600 800 200 1900 2500 3100 3200 3300 2800 2800 3100 1600 1800 1800 900 300 3 1800 2300 2200 2400 2600 1900 2500 1500 1900 200 1500 1900 2200 1100 1200 4 3100 2200 2400 2100 400 2100 1900 2000 1000 1100 900 3400 2000 1700 1500 1200 5 600 6. 3500 1700 1500 300 7 3100 1500 1400 400 8 2000 2400 2600 3100 2700 2500 1500 2000 2100 2300 2500 1900 1000 200 1800 2400 2500 9. 3200 3300 3600 1600 1400 200 200 2200 10 3100 2500 2600 1100 400 3900 4100 3900 4300 4100 4000 Year Two 11 2600 2300 1100 300 1200 1200 2800 2700 2400 3300 3400 3800 3500 3700 4000 2100 2400 2500 2400 12 1900 2000 300 13 2100 2400 400 2400 3000 3200 2600 700 1200 1000 900 14 2600 2600 2700 2900 300 15 16 3500 3800 2300 2700 3100 3000 200 2900 3400 3600 3700 4100 3800 3600 3700 3200 3000 2800 17 3900 2400 3000 2500 1100 500 18 4200 2000 2500 2200 1000 1200 1200 300 4000 2300 2200 19 2600 200 2600 2400 20 4000 2600 2700 200 Year Three 21 4400 4400 4500 4500 4600 4500 2600 3300 3400 3400 3200 3400 3000 1200 400 3600 3500 22 4200 4300 2500 3100 2900 2800 3300 1400 1200 1300 1500 300 23 4500 4700 2700 300 300 24 4600 4600 2500 3500 25 4500 4200 4300 4400 2900 3300 3300 400 4500 3000 3400 3700 26 4300 4500 4200 4100 4500 4000 4000 3500 3000 1500 600 4500 4300 27 5100 3300 3100 1200 300 28 4300 2800 4000 3300 1100 400 29 4900 4200 3100 3600 3900 3400 500 1400 1200 30 4700 4100 3000 4000 3700 3400 500 Develop a forecast for daily passenger arrivals at the South concourse at BEI for each time period for July of year 4. Discuss the various forecast model variations that might be used to develop this forecast.
Transcribed Image Text:Case Problem arrivals at security checkpoints in order to determine how many security checkpoints and staff are needed. At Berry International Airport (BEI), security analysts would like to forecast passenger arrivals for next July, the airport's busiest travel month of the year, for the purpose of deter- mining how many security checkpoints they should staff during the month so that waiting lines and times will not be excessively long. Demand for airline travel has gener- ally been increasing during the past 3 years. There are two main concourses at BEI, North and South, each serv- ing different airlines. The following table shows pas- senger arrivals at the South concourse for 10 days (selected randomly) in 2-hour segments from 4:00 A.M. to 10:00 P.M. for the month of July for the past 3 years. FORECASTING AIRPORT PASSENGER ARRIVALS Since the terrorist attacks of 9/11 and because of the ensuing measures to increase airline security, airports have faced the problem of long waiting lines and waiting times at security gates. Waiting lines can be as long as hundreds of yards, and waiting times can sometimes be hours. In their efforts to reduce waiting lines and times, or at least to not have them become longer as airline de- mand increases, airports have analyzed their existing se- curity systems and sought quantitative solutions. One of the key components of any effort to operationally im- prove airport security procedures is forecasting passenger CASE PROBLEM 751 Day 4-6 A.M. 6-8 A.M. 8–10 A.M. 10-Noon Noon-2 P.M. 2-4 P.M. 4-6 P.M. 6-8 P.M. 8-10 Р.М. Year One 1800 2000 1 2400 2700 3200 1400 1700 1600 800 200 1900 2500 3100 3200 3300 2800 2800 3100 1600 1800 1800 900 300 3 1800 2300 2200 2400 2600 1900 2500 1500 1900 200 1500 1900 2200 1100 1200 4 3100 2200 2400 2100 400 2100 1900 2000 1000 1100 900 3400 2000 1700 1500 1200 5 600 6. 3500 1700 1500 300 7 3100 1500 1400 400 8 2000 2400 2600 3100 2700 2500 1500 2000 2100 2300 2500 1900 1000 200 1800 2400 2500 9. 3200 3300 3600 1600 1400 200 200 2200 10 3100 2500 2600 1100 400 3900 4100 3900 4300 4100 4000 Year Two 11 2600 2300 1100 300 1200 1200 2800 2700 2400 3300 3400 3800 3500 3700 4000 2100 2400 2500 2400 12 1900 2000 300 13 2100 2400 400 2400 3000 3200 2600 700 1200 1000 900 14 2600 2600 2700 2900 300 15 16 3500 3800 2300 2700 3100 3000 200 2900 3400 3600 3700 4100 3800 3600 3700 3200 3000 2800 17 3900 2400 3000 2500 1100 500 18 4200 2000 2500 2200 1000 1200 1200 300 4000 2300 2200 19 2600 200 2600 2400 20 4000 2600 2700 200 Year Three 21 4400 4400 4500 4500 4600 4500 2600 3300 3400 3400 3200 3400 3000 1200 400 3600 3500 22 4200 4300 2500 3100 2900 2800 3300 1400 1200 1300 1500 300 23 4500 4700 2700 300 300 24 4600 4600 2500 3500 25 4500 4200 4300 4400 2900 3300 3300 400 4500 3000 3400 3700 26 4300 4500 4200 4100 4500 4000 4000 3500 3000 1500 600 4500 4300 27 5100 3300 3100 1200 300 28 4300 2800 4000 3300 1100 400 29 4900 4200 3100 3600 3900 3400 500 1400 1200 30 4700 4100 3000 4000 3700 3400 500 Develop a forecast for daily passenger arrivals at the South concourse at BEI for each time period for July of year 4. Discuss the various forecast model variations that might be used to develop this forecast.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps with 1 images

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Knowledge Booster
Aggregate planning
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, operations-management and related others by exploring similar questions and additional content below.
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
Practical Management Science
Practical Management Science
Operations Management
ISBN:
9781337406659
Author:
WINSTON, Wayne L.
Publisher:
Cengage,
SEE MORE TEXTBOOKS