Operations and Supply Chain Management 9th edition
9th Edition
ISBN: 9781119320975
Author: Roberta S. Russell, Bernard W. Taylor III
Publisher: WILEY
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Textbook Question
Chapter 12, Problem 20P
During the past five months the emergency room at the new County Hospital has observed the number of patients during two parts of every other week—the weekend (Friday through Sunday) and weekdays (Monday through Thursday). They typically experience greater patient traffic on weekends than during the week:
Develop a seasonally adjusted
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
Provide complete and detailed solution
4 Trinity General Hospital had the following number of patient admissions during the past 8 weeksWeek Patient Admissions1 1202 1453 954 1125 1306 1107 1008 140
a. Develop a 3-week weighted average forecast forWeek 4 through 9 with weightsW1 = 0.2W2 = 0.3W3 = 0.5
b. Forecast patient admissions for week 9 using simpleexponential smoothing with α = 0.2. Assume that the forecast for Week 2 (F2) is the naïve forecast.
pls help
Chapter 12 Solutions
Operations and Supply Chain Management 9th edition
Ch. 12 - List some of the operations and functions in a...Ch. 12 - What is the difference between quantitative...Ch. 12 - Describe the difference between short- and...Ch. 12 - Prob. 4QCh. 12 - Why is accurate forecasting so important to...Ch. 12 - Discuss the relationship between forecasting and...Ch. 12 - Prob. 7QCh. 12 - Describe the Delphi method for forecasting.Ch. 12 - What is the difference between a trend and a cycle...Ch. 12 - How is the moving average method similar to...
Ch. 12 - In the chapter examples for time series methods,...Ch. 12 - What effect on the exponential smoothing model...Ch. 12 - How does adjusted exponential smoothing differ...Ch. 12 - What determines the choice of the smoothing...Ch. 12 - How does the linear trend line forecasting model...Ch. 12 - Of the time series models presented in this...Ch. 12 - What advantages does adjusted exponential...Ch. 12 - Describe how a forecast is monitored to detect...Ch. 12 - Explain the relationship between the use of a...Ch. 12 - Selecting from MAD, MAPD, MSE, E, and E, which...Ch. 12 - What is the difference between linear and multiple...Ch. 12 - Define the different components (y, x, a, and b)...Ch. 12 - A company that produces video equipment, including...Ch. 12 - The Hartley-Davis motorcycle dealer in the...Ch. 12 - The manager of the I-85 Carpet Outlet needs to be...Ch. 12 - The LawnPlus Fertilizer Company distributes...Ch. 12 - Graph the demand data in Problem 12.3. Can you...Ch. 12 - The chairperson of the department of management at...Ch. 12 - The manager of the Excom Service Station wants to...Ch. 12 - The Intrepid mutual fund of growth stocks has had...Ch. 12 - The Oceanside Hotel is adjacent to City Coliseum,...Ch. 12 - Mary Hernandez has invested in a stock mutual fund...Ch. 12 - Globetron manufactures components for use in small...Ch. 12 - The Bee Line Caf is well known for its popular...Ch. 12 - For the demand data in Problem 12.11, develop a...Ch. 12 - Develop a seasonally adjusted forecast for the...Ch. 12 - Backstreets Pizza delivery service has randomly...Ch. 12 - The Willow River Mining Company mines and ships...Ch. 12 - The Great Northwest Outdoor Company is a catalog...Ch. 12 - Townside Food Vending operates vending machines in...Ch. 12 - The town aquatic center has an indoor pool that...Ch. 12 - Develop an adjusted exponential smoothing forecast...Ch. 12 - During the past five months the emergency room at...Ch. 12 - At its craft store and through its website, the...Ch. 12 - A group of business students at Tech organized a...Ch. 12 - Temco Industries has developed a forecasting model...Ch. 12 - Monitor the forecast in Problem 12.23 for bias...Ch. 12 - Develop a statistical control chart for the...Ch. 12 - Monitor the adjusted exponential smoothing...Ch. 12 - Develop an exponential smoothing forecast with =...
Additional Business Textbook Solutions
Find more solutions based on key concepts
4. Figure 1.1 outlines the operations, finance/accounting, and marketing functions of three organizations. Prep...
Operations Management
The best fits using exponential smoothing, trend analysis, and linear regression for the given data. Introducti...
Principles of Operations Management: Sustainability and Supply Chain Management (10th Edition)
Consider the sales data for Computer Success given in Problem 7. Use a 3-month weighted moving average to forec...
Operations Management: Processes and Supply Chains (11th Edition)
The schedule Dr. Barr set up worked well at the clinic where she was a resident. What are some of the reasons w...
Operations Management, Binder Ready Version: An Integrated Approach
5. Answer Question 4 for some other organization, perhaps an organization where you have worked.
Operations Management: Sustainability and Supply Chain Management (12th Edition)
What is precedent, and how does it affect common law?
Business in Action (8th Edition)
Knowledge Booster
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
- Under what conditions might a firm use multiple forecasting methods?arrow_forwardA police station had to deploy a police officer for an emergency multiple times in the last four evenings. The table below shows the number of emergencies each evening. Weekday Number of calls each day Monday 9:48 Tuesday 3 Wednesday 8 Thursday 11 (Round your answer to 1 decimal place.) What would be their forecast for the emergencies on Friday using a two-day moving average approach? Forecast for Friday callsarrow_forwardWhat are the similarities and differences between ridge regression and forecasting?arrow_forward
- Additional Algo 15-12 Forecasting with Seasonality Demand history for the past three years is shown below, along with the seasonal indices for each quarter. Year Year 1 Year 2 Year 3 Quarter: 580338888888 Demand 796 748 493 437 723 758 Year 4, Q1 forecast 538 467 734 735 501 466 Seasonal Index 1.218 1.231 0.829 0.741 1.218 1.231 0.829 0.741 1.218 1.231 0.829 0.741 Use exponential smoothing with alpha (a) = 0.15 and an initial forecast of 616 along with seasonality to calculate the Year 4, Q1 forecast Note: Do not round intermediate calculations. Round your answer to the nearest whole number.arrow_forwardSales of Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). Using exponential smoothing with a smoothing constant (α) of 0.30 and a starting forecast of 420.00, the following sales forecast has been developed: Year Sales Forecasted Sales 1 460 420.00 2 510 432.00 3 520 455.40 Using smoothing constants of 0.60 and 0.90, develop forecasts for the sales of VW Beetles. Use MAD to determine which of the three smoothing constants (0.30, 0.60, or 0.90) gives the most accurate forecast. The MAD for a forecast developed using exponential smoothing with α=0.30 is nothing sales. (Round your response to two decimal places.)arrow_forwardHow do exponential smoothing advantages have over moving averages as a forecasting tool?arrow_forward
- The following gives the number of accidents that occurred on Florida State Highway 101 during the last 4 months: Month Number of Accidents Jan 30 Using least-squares regression, the forecast for the number of accidents that will occur in the month of May Feb 48 Using the least-squares regression method, the trend equation for forecasting is (round your responses to two decimal places): y = 9 + 19.20 x = Mar 60 Apr 90 accidents (enter your response as a whole number).arrow_forward4 Trinity General Hospital had the following number of patient admissions during the past 8 weeks Patient Week Admissions 1 120 145 3 95 4 112 5 130 6. 110 7 100 140 Develop a 3-weck weighted average forecast for Week 4 through 9 with weights a W1 = 0.2 W2 = 0.3 W3 = 0.5 Forecast patient admissions for week 9 using simple | exponential smoothing with a = 0.2. Assume that the forecast for Week 2 (F2) is the naïve forecast.arrow_forwardHow is exponential smoothing superior to moving averages as a forecasting tool?arrow_forward
- Explain different forecasting techniques like moving averages, exponential smoothing, regression etc.arrow_forwardWhen should time series forecasting techniques be used?arrow_forwardTwo forecasting models were used to predict the future value of a time series. These are shown in the accompanying table, together with the actual values. Forecast Value Ft Model 1 Model 2 Actual Yt 7.5 6.3 6 6.3 6.7 6.6 5.4 7.1 7.3 8.2 7.5 9.4 Compute MAD and MPE for each model and determine which was more accurate.arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Contemporary MarketingMarketingISBN:9780357033777Author:Louis E. Boone, David L. KurtzPublisher:Cengage Learning
MarketingMarketingISBN:9780357033791Author:Pride, William MPublisher:South Western Educational Publishing
Purchasing and Supply Chain ManagementOperations ManagementISBN:9781285869681Author:Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. PattersonPublisher:Cengage Learning
Contemporary Marketing
Marketing
ISBN:9780357033777
Author:Louis E. Boone, David L. Kurtz
Publisher:Cengage Learning
Marketing
Marketing
ISBN:9780357033791
Author:Pride, William M
Publisher:South Western Educational Publishing
Purchasing and Supply Chain Management
Operations Management
ISBN:9781285869681
Author:Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. Patterson
Publisher:Cengage Learning
Single Exponential Smoothing & Weighted Moving Average Time Series Forecasting; Author: Matt Macarty;https://www.youtube.com/watch?v=IjETktmL4Kg;License: Standard YouTube License, CC-BY
Introduction to Forecasting - with Examples; Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=98K7AG32qv8;License: Standard Youtube License