Principles of Operations Management: Sustainability and Supply Chain Management (10th Edition)
10th Edition
ISBN: 9780134181981
Author: Jay Heizer, Barry Render, Chuck Munson
Publisher: PEARSON
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Textbook Question
Chapter 4, Problem 2.1VC
Describe three different
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Describe three different forecasting applications at Hard Rock.Name three other areas in which you think Hard Rock could Juse forecasting models.
1 The demand for automobiles at Crescent Auto Dealers for the past 8 weeks is as follows.
Auto
Week
Demand
1
9.
2
11
3
8
4
12
5
10
13
7
7
8.
12
Develop a 3-week moving average forecast for Weeks 4 through 9
a
Develop a 3-week weighted average forecast for weeks 4 through 9
with weights of
d.
What is the Naïve forecast for Week 9?
Forecasting
Forecasting is important relative to capacity requirements planning. What are some of the merits of using judgment methods (i.e., qualitative data) in contrast to quantitative forecasting methods. Which methods are considered to be superior or more accurate, and in what forecast situations would require judgment methods? In what situations would require a quantitative approach to forecasting?
Chapter 4 Solutions
Principles of Operations Management: Sustainability and Supply Chain Management (10th Edition)
Ch. 4 - Ethical Dilemma We live in a society obsessed with...Ch. 4 - What is a qualitative forecasting model, and when...Ch. 4 - Identify and briefly describe the two general...Ch. 4 - Identify the three forecasting time horizons....Ch. 4 - Briefly describe the steps that are used to...Ch. 4 - A skeptical manager asks what medium-range...Ch. 4 - Explain why such forecasting devices as moving...Ch. 4 - What is the basic difference between a weighted...Ch. 4 - What three methods are used to determine the...Ch. 4 - Research and briefly describe the Delphi...
Ch. 4 - What is the primary difference between a...Ch. 4 - Define time series.Ch. 4 - What effect does the value of the smoothing...Ch. 4 - Explain the value of seasonal indices in...Ch. 4 - Prob. 14DQCh. 4 - In your own words, explain adaptive forecasting.Ch. 4 - Prob. 16DQCh. 4 - Explain, in your own words, the meaning of the...Ch. 4 - Prob. 18DQCh. 4 - Give examples of industries that are affected by...Ch. 4 - Prob. 20DQCh. 4 - Prob. 21DQCh. 4 - CEO John Goodale, at Southern Illinois Power and...Ch. 4 - The following gives the number of pints of type B...Ch. 4 - a) Plot the above data on a graph. Do you observe...Ch. 4 - Refer to Problem 4.2. Develop a forecast for years...Ch. 4 - A check-processing center uses exponential...Ch. 4 - The Carbondale Hospital is considering the...Ch. 4 - The monthly sales for Yazici Batteries, Inc., were...Ch. 4 - The actual demand for the patients at Omaha...Ch. 4 - Daily high temperatures in St. Louis for the last...Ch. 4 - Lenovo uses the ZX-81 chip in some of its laptop...Ch. 4 - Data collected on the yearly registrations for a...Ch. 4 - Use exponential smoothing with a smoothing...Ch. 4 - Prob. 12PCh. 4 - At you can see in the following table, demand for...Ch. 4 - Prob. 14PCh. 4 - Refer to Solved Problem 4.1 on page 144. a) Use a...Ch. 4 - Prob. 16PCh. 4 - Prob. 17PCh. 4 - Prob. 18PCh. 4 - Income at the architectural firm Spraggins and...Ch. 4 - Resolve Problem 4.19 with = .1 and =.8. Using...Ch. 4 - Prob. 21PCh. 4 - Refer to Problem 4.21. Complete the trend-adjusted...Ch. 4 - Prob. 23PCh. 4 - The following gives the number of accidents that...Ch. 4 - In the past, Peter Kelles tire dealership in Baton...Ch. 4 - George Kyparisis owns a company that manufactures...Ch. 4 - Attendance at Orlandos newest Disneylike...Ch. 4 - Prob. 28PCh. 4 - The number of disk drives (in millions) made at a...Ch. 4 - Prob. 30PCh. 4 - Emergency calls to the 911 system of Durham, North...Ch. 4 - Using the 911 call data in Problem 4.31, forecast...Ch. 4 - Storrs Cycles has just started selling the new...Ch. 4 - Boulanger Savings and Loan is proud of its long...Ch. 4 - Mark Gershon, owner of a musical instrument...Ch. 4 - Prob. 44PCh. 4 - Cafe Michigans manager, Gary Stark, suspects that...Ch. 4 - Prob. 46PCh. 4 - The number of auto accidents in Athens, Ohio, is...Ch. 4 - Rhonda Clark, a Slippery Rock, Pennsylvania, real...Ch. 4 - Accountants at the Tucson firm, Larry Youdelman,...Ch. 4 - Prob. 50PCh. 4 - Using the data in Problem 4.30, apply linear...Ch. 4 - Bus and subway ridership for the summer months in...Ch. 4 - Prob. 53PCh. 4 - Dave Fletcher, the general manager of North...Ch. 4 - Sales of tablet computers at Ted Glickmans...Ch. 4 - The following are monthly actual and forecast...Ch. 4 - Develop a forecasting model, justifying its...Ch. 4 - Prob. 2CSCh. 4 - Discuss the schools options.Ch. 4 - Prob. 1.1VCCh. 4 - Prob. 1.2VCCh. 4 - Using Perezs multiple-regression model, what would...Ch. 4 - Prob. 1.4VCCh. 4 - Describe three different forecasting applications...Ch. 4 - What is the role of the POS system in forecasting...Ch. 4 - Justify the use of the weighting system used for...Ch. 4 - Name several variables besides those mentioned in...Ch. 4 - Prob. 2.5VC
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- Under what conditions might a firm use multiple forecasting methods?arrow_forwardScenario 4 Sharon Gillespie, a new buyer at Visionex, Inc., was reviewing quotations for a tooling contract submitted by four suppliers. She was evaluating the quotes based on price, target quality levels, and delivery lead time promises. As she was working, her manager, Dave Cox, entered her office. He asked how everything was progressing and if she needed any help. She mentioned she was reviewing quotations from suppliers for a tooling contract. Dave asked who the interested suppliers were and if she had made a decision. Sharon indicated that one supplier, Apex, appeared to fit exactly the requirements Visionex had specified in the proposal. Dave told her to keep up the good work. Later that day Dave again visited Sharons office. He stated that he had done some research on the suppliers and felt that another supplier, Micron, appeared to have the best track record with Visionex. He pointed out that Sharons first choice was a new supplier to Visionex and there was some risk involved with that choice. Dave indicated that it would please him greatly if she selected Micron for the contract. The next day Sharon was having lunch with another buyer, Mark Smith. She mentioned the conversation with Dave and said she honestly felt that Apex was the best choice. When Mark asked Sharon who Dave preferred, she answered, Micron. At that point Mark rolled his eyes and shook his head. Sharon asked what the body language was all about. Mark replied, Look, I know youre new but you should know this. I heard last week that Daves brother-in-law is a new part owner of Micron. I was wondering how soon it would be before he started steering business to that company. He is not the straightest character. Sharon was shocked. After a few moments, she announced that her original choice was still the best selection. At that point Mark reminded Sharon that she was replacing a terminated buyer who did not go along with one of Daves previous preferred suppliers. What does the Institute of Supply Management code of ethics say about financial conflicts of interest?arrow_forwardScenario 4 Sharon Gillespie, a new buyer at Visionex, Inc., was reviewing quotations for a tooling contract submitted by four suppliers. She was evaluating the quotes based on price, target quality levels, and delivery lead time promises. As she was working, her manager, Dave Cox, entered her office. He asked how everything was progressing and if she needed any help. She mentioned she was reviewing quotations from suppliers for a tooling contract. Dave asked who the interested suppliers were and if she had made a decision. Sharon indicated that one supplier, Apex, appeared to fit exactly the requirements Visionex had specified in the proposal. Dave told her to keep up the good work. Later that day Dave again visited Sharons office. He stated that he had done some research on the suppliers and felt that another supplier, Micron, appeared to have the best track record with Visionex. He pointed out that Sharons first choice was a new supplier to Visionex and there was some risk involved with that choice. Dave indicated that it would please him greatly if she selected Micron for the contract. The next day Sharon was having lunch with another buyer, Mark Smith. She mentioned the conversation with Dave and said she honestly felt that Apex was the best choice. When Mark asked Sharon who Dave preferred, she answered, Micron. At that point Mark rolled his eyes and shook his head. Sharon asked what the body language was all about. Mark replied, Look, I know youre new but you should know this. I heard last week that Daves brother-in-law is a new part owner of Micron. I was wondering how soon it would be before he started steering business to that company. He is not the straightest character. Sharon was shocked. After a few moments, she announced that her original choice was still the best selection. At that point Mark reminded Sharon that she was replacing a terminated buyer who did not go along with one of Daves previous preferred suppliers. Ethical decisions that affect a buyers ethical perspective usually involve the organizational environment, cultural environment, personal environment, and industry environment. Analyze this scenario using these four variables.arrow_forward
- Scenario 4 Sharon Gillespie, a new buyer at Visionex, Inc., was reviewing quotations for a tooling contract submitted by four suppliers. She was evaluating the quotes based on price, target quality levels, and delivery lead time promises. As she was working, her manager, Dave Cox, entered her office. He asked how everything was progressing and if she needed any help. She mentioned she was reviewing quotations from suppliers for a tooling contract. Dave asked who the interested suppliers were and if she had made a decision. Sharon indicated that one supplier, Apex, appeared to fit exactly the requirements Visionex had specified in the proposal. Dave told her to keep up the good work. Later that day Dave again visited Sharons office. He stated that he had done some research on the suppliers and felt that another supplier, Micron, appeared to have the best track record with Visionex. He pointed out that Sharons first choice was a new supplier to Visionex and there was some risk involved with that choice. Dave indicated that it would please him greatly if she selected Micron for the contract. The next day Sharon was having lunch with another buyer, Mark Smith. She mentioned the conversation with Dave and said she honestly felt that Apex was the best choice. When Mark asked Sharon who Dave preferred, she answered, Micron. At that point Mark rolled his eyes and shook his head. Sharon asked what the body language was all about. Mark replied, Look, I know youre new but you should know this. I heard last week that Daves brother-in-law is a new part owner of Micron. I was wondering how soon it would be before he started steering business to that company. He is not the straightest character. Sharon was shocked. After a few moments, she announced that her original choice was still the best selection. At that point Mark reminded Sharon that she was replacing a terminated buyer who did not go along with one of Daves previous preferred suppliers. What should Sharon do in this situation?arrow_forwardWhat is the role of the POS system in forecasting at HardRock?arrow_forwardSuppose that the Perpetual Help College of Rizal had the following record of its growth of enrollment from 2011 -2020. Year Enrolment Year Enrolment 2011 5,200 2016 7,000 2012 5,500 2017 8,800 2013 6,000 2018 9,400 2014 6,500 2019 9,600 2015 6,800 2020 10,500 a) Develop a forecast of enrolment beginning 2014 to 2021 using 3-years moving average forecast model. b) Using weights of .50 for the most recent data, .30 to the second recent data, and .20 to the 3 months old data, develop a forecast beginning 2014 to 2021 using 3 years weighted moving average forecast…arrow_forward
- What are the similarities and differences between ridge regression and forecasting?arrow_forward1 The demand for automobiles at Crescent Auto Dealers for the past 8 weeks is as follows. Week Auto Demand Weights1 9 0.12 11 0.33 8 0.64 125 106 137 78 12a Develop a 3-week moving average forecast for Weeks 4 through 9b Develop a 3-week weighted average forecast…arrow_forward↑ Sales of tablet computers at Ted Glickman's electronics store in Washington, D.C., over the past 10 weeks are shown in the table below: Week 1 Demand 20 5 6 7 8 9 10 24 30 36 24 26 28 2 4 23 28 38 a) The forecast for weeks 2 through 10 using exponential smoothing with a 0.60 and a week 1 initial forecast of 20.0 are (round your responses to two decimal places): 7 Week 1 2 3 4 5 Demand 20 23 28 38 24 Forecast 20.0 36 6 30 8 24 9 10 26 28 b) For the forecast developed using exponential smoothing (a=0.60 and initial forecast 20.0), the MAD-sales (round your response to two decimal places). c) For the forecast developed using exponential smoothing (a=0.60 and initial forecast 20.0), the tracking signal = (round your response to two decimal places).arrow_forward
- Identify the three forecasting time horizons. State anapproximate duration for each.arrow_forwardSales of quilt covers at Bud Banis' department store in Carbondale over the past year are shown below. Management prepared a forecast using a combination of exponential smoothing and its collective judgment for the 4 months (March, April, May, and June): a) Compute MAD and MAPE for management's technique.b) Do management's results outperform (i.e., have smaller MAD and MAPE than) a naive forecast?c) Which forecast do you recommend, based on lower forecast error?arrow_forward1. Food trucks have become a common sight on American campuses. They serve scores of hungry students through campus and looking for trendy food served fast. The owner of a food truck collects data on the number of students he serves on weekdays on a small campus in California. Use the FOODTRUCK sheet (refer to Excel file). Determine the 3-period moving average to make forecast for Week 4 to Week 41. 2. The manager of a trendy downtown cafe in Columbus, Ohio, collects weekly data on the number of customers it serves. Use the simple exponential smoothing technique with =0.2 to make a forecast in the entire data. Weekday Students 1 84 2 66 3 108 4 113 5 74 6 115 7 110 8 116 9 128 10 114 11 97 12 85 13 119 14 151 15 187 16 144 17 139 18 108 19 71 20 28 21 22 22 61 23 65 24 100 25 53 26 73 27 52 28 29 29 65 30 35 31 48 32 84 33 104 34 96 35 121 36 116 37 97 38 143 39 154 40 166arrow_forward
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