Operations Management
11th Edition
ISBN: 9780132921145
Author: Jay Heizer
Publisher: PEARSON
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Question
Chapter 4, Problem 31P
Summary Introduction
To determine: Use simple linear regression to forecast the number of coffees to be sold when the price is $2.80.
Introduction:
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Question 1
Q1) The monthly sales of a retailer company were as follow:
Month
-Sales
February--
March-
1000
1800
April-
-2100
May-
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June-
July--
2048
2600
August
As a planner, you are required to calculate the Demand Forecast for August using the Naive approach
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What practice involves the researching of goods in a store without buying them, and then shopping on the Internet for better deals?
Question 8 options:
a)
Investigative purchasing
b)
Moderate involvement decision making
c)
High involvement decision making
d)
Showrooming
Question 7 of 11
What methodology would a company use to compare performance to date in a year with performance the previous year?
Select an answer:
operating cost methodology
revenue trajectory methodology
variable cost methodology
exit methodology
Chapter 4 Solutions
Operations Management
Ch. 4 - What is a qualitative foretasting 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 - Which forecasting technique can place the most...Ch. 4 - In your own words, explain adaptive forecasting.Ch. 4 - What is the purpose of a tracking signal?Ch. 4 - Explain, in your own words, the meaning of the...Ch. 4 - What is the difference between a dependent and an...Ch. 4 - Give examples of industries that are affected by...Ch. 4 - Give examples of industries in which demand...Ch. 4 - Prob. 21DQCh. 4 - The following gives the number of pints of type B...Ch. 4 - 4.2 a. Plot the above data on a graph. Do you...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 - Consider the following actual and forecast demand...Ch. 4 - As you can see in the following table, demand for...Ch. 4 - Following are two weekly forecasts made by two...Ch. 4 - Refer to Solved Problem 4.1 on page 138. a. Use a...Ch. 4 - Solved example 4.1 Sales of Volkswagens popular...Ch. 4 - Refer to Solved Problem 4.1. Using smoothing...Ch. 4 - Consider the following actual (At) and forecast...Ch. 4 - Income at the architectural firm Spraggins and...Ch. 4 - Question 4.20 Resolve Problem 4.19 with =.1 and ...Ch. 4 - Question 4.21 Refer to the trend-adjusted...Ch. 4 - Question 4.22 Refer to Problem 4.21. Complete the...Ch. 4 - Question 4.23 Sales of quilt covers at Bud Baniss...Ch. 4 - Question 4.24 Mark Gershon, owner of a musical...Ch. 4 - Question 4.25 The following gives the number of...Ch. 4 - Prob. 26PCh. 4 - Question 4.27 George Kyparisis owns a company...Ch. 4 - Question 4.28 Attendance at Orlandos newest...Ch. 4 - Question 4.29 North Dakota Electric Company...Ch. 4 - Lori Cook has developed the following forecasting...Ch. 4 - Prob. 31PCh. 4 - Question 4.32 The following data relate the sales...Ch. 4 - Question 4.33 The number of internal disk drives...Ch. 4 - Question 4.34 The number of auto accidents in...Ch. 4 - Question 4.35 Rhonda Clark, a Slippery Rock,...Ch. 4 - Accountants at the Tucson firm, Larry Youdelman,...Ch. 4 - Sales of tablet computers at Ted Glickmans...Ch. 4 - Question 4.38 City government has collected the...Ch. 4 - Dr. Lillian Fok, a New Orleans psychologist,...Ch. 4 - Using the data in Problem 4.39, apply linear...Ch. 4 - Bus and subway ridership for the summer months in...Ch. 4 - CEO John Goodale, at Southern Illinois Power and...Ch. 4 - Emergency calls to the 911 system of Durham, North...Ch. 4 - Using the 911 call data in Problem 4.43, forecast...Ch. 4 - The following are monthly actual and forecast...Ch. 4 - Thirteen students entered the business program at...Ch. 4 - Question 4.47 Storrs Cycles has just started...Ch. 4 - Question 4.48 Dave Fletcher, the general manager...Ch. 4 - Question 4.49 Boulanger Savings and Loan is proud...Ch. 4 - Case study Southwestern University: (B) This...Ch. 4 - Case study Southwestern University: (B) This...Ch. 4 - Southwestern University: (B) This integrated case...Ch. 4 - For its first 2 decades of existence, the NBAs...Ch. 4 - For its first 2 decades of existence, the NBAs...Ch. 4 - For its first 2 decades of existence, the NBAs...Ch. 4 - For its first 2 decades of existence, the NBAs...Ch. 4 - Forecasting at Hard Rock Cafe Video Case With the...Ch. 4 - Forecasting at Hard Rock Cafe Video Case With the...Ch. 4 - Forecasting at Hard Rock Cafe Video Case With the...Ch. 4 - Forecasting at Hard Rock Cafe Video Case With the...Ch. 4 - Forecasting at Hard Rock Cafe Video Case With the...
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- QUESTION 2 A company charts the deviations in size for manufacturing various parts. What is the purpose of this type of viz? O Comparison O Correlation O Distribution O Trend Evaluationarrow_forwardQUESTION THREE (a) The actual demand of a product for 6 months are summarized in Table below: Actual Demand Values Month ( ) t Demand ( ) tD 1 300 2 450 3 700 4 900 5 1200 6 1400 iv. Compute the mean absolute deviation. v. Mean absolute percent error (MAPE)arrow_forwardQUESTION 12 Suppose sales for the past 6 months have been119, 82, 103, 117, 116, and 97 Using a smoothing coefficient of 0.7, what is the exponentially smoothed value for the 3rd period? (please round your answer to 1 decimal place)arrow_forward
- QUESTION 1 The table below shows the sales figures for a brand of shoe over the last 12 months. Months Sales January 69 February 75 March 86 April 92 May 95 June 100 July 108 August 115 September 125 October 131 November 140 December 150 a. Using the following, forecast the sales for the months up to January the following year:- i. A simple three month moving average. [2 marks] ii. A three period weighted moving average using weights of 1, 2 and 3. Assign the highest weight to the most recent data. [3 marks] iii. Exponential Smoothing when α= .6 and the forecast for March is 350. [5 marks] iv. Determine which of the three forecasting technique is the most accurate using MAD. [4 marks]arrow_forwardQuestion 2 Historical demand for gulab jamun from a sweet stall on Commercial Road is as displayed in the table. Month Demand (orders) January 66,753 February 67,686 March 68,641 April 68,979 May 69,278 June 69,577 July 69,602 August 70,348 September 70,806 October 71,011 November 71,819 December 72,752 What is the forecast for June using Holt's model with an alpha of 0.1 and a beta of 0.2? 69121 69612 70564 63545 Full explain this question text typingarrow_forwardQUESTION 3a. Delightful Coffee Limited (DCLL) purchases coffee from Hopeful Harvest Plantations (HHP)in Santa Cruz, Trinidad. HHP sells coffee at four (4) different prices, depending on the size ofthe order, as shown in Table 3 (below):Table 3. Hopeful Harvest Plantations - Coffee pricesWeight of Coffee Price ($USD)Less than 45 kilograms $18 per kilogram45 to 449 kilograms $17 per kilogram,450 to 1000 kilograms $16 per kilogramMore than 1000 kilograms $15 per kilogramThe cost to place an order at DCLL is $50. Annual demand is 4,500 units. The holding (orcarrying) cost is 20 percent of the material price. (i) Calculate the EOQ at each Price Break.arrow_forward
- QUESTION 3a. Delightful Coffee Limited (DCLL) purchases coffee from Hopeful Harvest Plantations (HHP)in Santa Cruz, Trinidad. HHP sells coffee at four (4) different prices, depending on the size ofthe order, as shown in Table 3 (below):Table 3. Hopeful Harvest Plantations - Coffee pricesWeight of Coffee Price ($USD)Less than 45 kilograms $18 per kilogram45 to 449 kilograms $17 per kilogram,450 to 1000 kilograms $16 per kilogramMore than 1000 kilograms $15 per kilogramThe cost to place an order at DCLL is $50. Annual demand is 4,500 units. The holding (orcarrying) cost is 20 percent of the material price. (i) Calculate the EOQ at each Price Break and Indicate which EOQs are feasible and those which are not feasible. Please answer the above questionarrow_forwardQUESTION 3a. Delightful Coffee Limited (DCLL) purchases coffee from Hopeful Harvest Plantations (HHP)in Santa Cruz, Trinidad. HHP sells coffee at four (4) different prices, depending on the size ofthe order, as shown in Table 3 (below):Table 3. Hopeful Harvest Plantations - Coffee pricesWeight of Coffee Price ($USD)Less than 45 kilograms $18 per kilogram45 to 449 kilograms $17 per kilogram,450 to 1000 kilograms $16 per kilogramMore than 1000 kilograms $15 per kilogramThe cost to place an order at DCLL is $50. Annual demand is 4,500 units. The holding (orcarrying) cost is 20 percent of the material price. (iii) What is the economic order quantity that DCLL should buy each time? Please answer the above questionarrow_forwardQuestion 3: Jane is trying to forecast demand for her store, using moving average with n=2, Fill in the missing cells with correct values and find average error for first quarter and second quarter of year 2000 E Enroll- Year Quarter ment Forecast Error Abs Error 1997 313 3. 2 285 4 3 312 5. 4 339 6. 1998 1 359 7 320 356 385 6. 10 1999 396 367 11 397 12 423 13 14 2000 1 15 2000 3412M4arrow_forward
- Question Using a suitable moving average method, find the trend values.arrow_forwardQuestion 3 [Soalan 3] Use the data set below to answer the following questions: [Gunakan set data di bawah untuk menjawab soalan-soalan berikut:] Table 1: Monthly sales unit [Jadual 1: Unit jualan bulanan] Month [Bulan] Sales Units [Unit Jualan] 1 1100 2 1200 3 1450 4 1800 5 2100 6 2700 ii) Calculate the four-period weighted moving average forecasts for months 5 and 6 using weights of 0.05, 0.15, 0.30, and 0.50 from the earliest period to the latest period, respectively. [Hitungkan ramalan wajaran purata bergerak menggunakan empat-tempoh untuk bulan 5 dan 6 menggunakan pemberat 0.05, 0.15, 0.30 dan 0.50 dari tempoh yang terawal ke tempoh yang terakhir mengikut turutan.]arrow_forwardQuestion 3 [Soalan 3] Use the data set below to answer the following questions: [Gunakan set data di bawah untuk menjawab soalan-soalan berikut:] Table 1: Monthly sales unit [Jadual 1: Unit jualan bulanan] Month [Bulan] Sales Units [Unit Jualan] 1 1100 2 1200 3 1450 4 1800 5 2100 6 2700 Calculate the three-period simple moving average forecasts for months 4, 5 and 6. [Hitungkan ramalan purata bergerak mudah menggunakan empat-tempoh untuk bulan 5 dan 6.]arrow_forward
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