MyLab Operations Management with Pearson eText -- Access Card -- for Operations Management: Processes and Supply Chains
11th Edition
ISBN: 9780133885583
Author: Lee J. Krajewski, Manoj K. Malhotra, Larry P. Ritzman
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Videos
Textbook Question
Chapter 8, Problem 3P
Ohio Swiss Milk Products manufactures and distribution ice cream in Ohio, Kentucky, and West Virginia. The company wants to expand operations by locating another plant in northern Ohio. The size of the new plant will be a function of the expected demand for ice cream within the area served by the plant. A market survey is currently under way to determine that demand.
Ohio Swiss wants to estimate the relationship between the
- Develop a regression equation to
forecast the cost per gallon as a function of time number of gallons produced. - What are the correlation coefficient and the coefficient of determination? Comment on your regression equation in light of these measures.
- Suppose that the market survey indicates a demand of 325,000 gallons in the Bucyrus, Ohio area.
- Estimate the manufacturing cost per gallon for a plant producing 325,000 gallons per year.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
In the past, Peter Kelle's tire dealership in Baton Rouge sold an average of 1,000 radials each year. In the past 2 years, 240 and 240, respectively were sold in fall, 350 and 320 in winter,150 and165 in spring, and 340 and 195 in summer. With a major expansion planned, Kelle projects sales next year to increase to 1,200 radials.
Based on next year's projected sales, the demand for each season is going to be (enter your responses as whole numbers):
Fall:
Winter:
Spring:
Summer:
A manager uses this equation to predict demand for landscaping services: Ft= 10 + 5t
Over the past eight periods, demand has been as follows:
Period, t: 1
Demand:
15
2
21
Period, t Tracking signal
1
2
3
4
5
6
7
8
3
23
30
5
32
6
38
42
Click here for the Excel Data File
Compute the tracking signals for Periods 1-8. (Negative values should be indicated by
a minus sign. Round your intermediate calculations and final answers to 3 decimal
places.)
8
47
AIUEO Corp, is a company engaged in the manufacture of sports shoes. Sales data for 2023 is as follows :
Month
Sales
Jan
3209
feb
3360
Mar
3488
Apr
3655
May
3438
Jun
3726
Jul
3147
Aug
3104
Sep
3863
Oct
3578
Nov
3505
Dec
3472
Total
41545
Question:
Calculate the demand forecast for the next year (2024) using the quadratic regression method.
Chapter 8 Solutions
MyLab Operations Management with Pearson eText -- Access Card -- for Operations Management: Processes and Supply Chains
Ch. 8 - Figure 8.9 shows summer air visibility...Ch. 8 - Kay and Michael Passe publish What‘s...Ch. 8 - Demand for oil changes at Garcia’s Garage has...Ch. 8 - Prob. 2PCh. 8 - Ohio Swiss Milk Products manufactures and...Ch. 8 - A manufacturing firm has developed a skills test,...Ch. 8 - The materials handling manager of a manufacturing...Ch. 8 - Marianne Kramer, the owner of Handy Man Rentals,...Ch. 8 - Sales for the past 12 months at Computer Success...Ch. 8 - Bradley’s Copiers sells and repairs photocopy...
Ch. 8 - Consider the sales data for Computer Success given...Ch. 8 - A convenience store recently started to carry a...Ch. 8 - Community Federal Bank in Dothan, Alabama,...Ch. 8 - The number of heart surgeries performed at...Ch. 8 - The following data are for calculator sales in...Ch. 8 - Prob. 14PCh. 8 - Forrest and Dan make boxes of chocolates for which...Ch. 8 - The manager of Alaina’s Garden Center must make...Ch. 8 - The manager of a utility company in the Texas...Ch. 8 - Franklin Tooling, Inc., manufactures specialty...Ch. 8 - Create an Excel spreadsheet on your own that can...Ch. 8 - Prob. 20PCh. 8 - Using the data in Problem 20 and the Time-Series...Ch. 8 - Prob. 22PCh. 8 - Cannister, Inc., specializes in the manufacture of...Ch. 8 - The Midwest Computer Company serves a large number...Ch. 8 - A certain food item at P=0.20 (with a combination...Ch. 8 - Prob. 26PCh. 8 - Prob. 27PCh. 8 - A manufacturing firm seeks to develop a better...Ch. 8 - How much does the forecasting process at Deckers...Ch. 8 - Prob. 2VCCh. 8 - What factors make forecasting at Deckers...Ch. 8 - Prob. 4VCCh. 8 - Prob. 5VCCh. 8 - Comment on the forecasting system being used by...Ch. 8 - Develop your own forecast for bow rakes for each...
Additional Business Textbook Solutions
Find more solutions based on key concepts
What is precedent, and how does it affect common law?
Business in Action
The flowchart for the process at the local car wash. Introduction: Flowchart: A flowchart is a visualrepresenta...
Principles Of Operations Management
Many companies including Company OM tried to implement dynamic pricing in their ticketing system. The dynamic p...
Principles of Operations Management: Sustainability and Supply Chain Management (10th Edition)
There is a huge demand in the United States and elsewhere for affordable women’s clothing. Low-cost clothing re...
Operations Management
There is a huge demand in the United States and elsewhere for affordable women’s clothing. Low-cost clothing re...
Loose-leaf for Operations Management (The Mcgraw-hill Series in Operations and Decision Sciences)
Feeding America Each year, the Feeding America network helps provide food to more than 46 million people facing...
Operations and Supply Chain Management 9th 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
- The Tinkan Company produces one-pound cans for the Canadian salmon industry. Each year the salmon spawn during a 24-hour period and must be canned immediately. Tinkan has the following agreement with the salmon industry. The company can deliver as many cans as it chooses. Then the salmon are caught. For each can by which Tinkan falls short of the salmon industrys needs, the company pays the industry a 2 penalty. Cans cost Tinkan 1 to produce and are sold by Tinkan for 2 per can. If any cans are left over, they are returned to Tinkan and the company reimburses the industry 2 for each extra can. These extra cans are put in storage for next year. Each year a can is held in storage, a carrying cost equal to 20% of the cans production cost is incurred. It is well known that the number of salmon harvested during a year is strongly related to the number of salmon harvested the previous year. In fact, using past data, Tinkan estimates that the harvest size in year t, Ht (measured in the number of cans required), is related to the harvest size in the previous year, Ht1, by the equation Ht = Ht1et where et is normally distributed with mean 1.02 and standard deviation 0.10. Tinkan plans to use the following production strategy. For some value of x, it produces enough cans at the beginning of year t to bring its inventory up to x+Ht, where Ht is the predicted harvest size in year t. Then it delivers these cans to the salmon industry. For example, if it uses x = 100,000, the predicted harvest size is 500,000 cans, and 80,000 cans are already in inventory, then Tinkan produces and delivers 520,000 cans. Given that the harvest size for the previous year was 550,000 cans, use simulation to help Tinkan develop a production strategy that maximizes its expected profit over the next 20 years. Assume that the company begins year 1 with an initial inventory of 300,000 cans.arrow_forwardScenario 3 Ben Gibson, the purchasing manager at Coastal Products, was reviewing purchasing expenditures for packaging materials with Jeff Joyner. Ben was particularly disturbed about the amount spent on corrugated boxes purchased from Southeastern Corrugated. Ben said, I dont like the salesman from that company. He comes around here acting like he owns the place. He loves to tell us about his fancy car, house, and vacations. It seems to me he must be making too much money off of us! Jeff responded that he heard Southeastern Corrugated was going to ask for a price increase to cover the rising costs of raw material paper stock. Jeff further stated that Southeastern would probably ask for more than what was justified simply from rising paper stock costs. After the meeting, Ben decided he had heard enough. After all, he prided himself on being a results-oriented manager. There was no way he was going to allow that salesman to keep taking advantage of Coastal Products. Ben called Jeff and told him it was time to rebid the corrugated contract before Southeastern came in with a price increase request. Who did Jeff know that might be interested in the business? Jeff replied he had several companies in mind to include in the bidding process. These companies would surely come in at a lower price, partly because they used lower-grade boxes that would probably work well enough in Coastal Products process. Jeff also explained that these suppliers were not serious contenders for the business. Their purpose was to create competition with the bids. Ben told Jeff to make sure that Southeastern was well aware that these new suppliers were bidding on the contract. He also said to make sure the suppliers knew that price was going to be the determining factor in this quote, because he considered corrugated boxes to be a standard industry item. Is Ben Gibson acting legally? Is he acting ethically? Why or why not?arrow_forwardScenario 3 Ben Gibson, the purchasing manager at Coastal Products, was reviewing purchasing expenditures for packaging materials with Jeff Joyner. Ben was particularly disturbed about the amount spent on corrugated boxes purchased from Southeastern Corrugated. Ben said, I dont like the salesman from that company. He comes around here acting like he owns the place. He loves to tell us about his fancy car, house, and vacations. It seems to me he must be making too much money off of us! Jeff responded that he heard Southeastern Corrugated was going to ask for a price increase to cover the rising costs of raw material paper stock. Jeff further stated that Southeastern would probably ask for more than what was justified simply from rising paper stock costs. After the meeting, Ben decided he had heard enough. After all, he prided himself on being a results-oriented manager. There was no way he was going to allow that salesman to keep taking advantage of Coastal Products. Ben called Jeff and told him it was time to rebid the corrugated contract before Southeastern came in with a price increase request. Who did Jeff know that might be interested in the business? Jeff replied he had several companies in mind to include in the bidding process. These companies would surely come in at a lower price, partly because they used lower-grade boxes that would probably work well enough in Coastal Products process. Jeff also explained that these suppliers were not serious contenders for the business. Their purpose was to create competition with the bids. Ben told Jeff to make sure that Southeastern was well aware that these new suppliers were bidding on the contract. He also said to make sure the suppliers knew that price was going to be the determining factor in this quote, because he considered corrugated boxes to be a standard industry item. As the Marketing Manager for Southeastern Corrugated, what would you do upon receiving the request for quotation from Coastal Products?arrow_forward
- It costs a pharmaceutical company 75,000 to produce a 1000-pound batch of a drug. The average yield from a batch is unknown but the best case is 90% yield (that is, 900 pounds of good drug will be produced), the most likely case is 85% yield, and the worst case is 70% yield. The annual demand for the drug is unknown, with the best case being 20,000 pounds, the most likely case 17,500 pounds, and the worst case 10,000 pounds. The drug sells for 125 per pound and leftover amounts of the drug can be sold for 30 per pound. To maximize annual expected profit, how many batches of the drug should the company produce? You can assume that it will produce the batches only once, before demand for the drug is known.arrow_forwardSuppose a four-period weighted average is being used to forecast demand. Weights for the periods are as follows: wt-4 = 0.1, wt-3 = 0.2, wt-2 = 0.3 and wt-1 = 0.4. Demand observed in the previous four periods was as follows: At-4 = 380, At-3 = 410, At-2 = 390, and At-1 = 400. What will be the demand forecast for period t?arrow_forwardHudson Corporation is considering three options for managing its data processing operation: continuing with its own staff, hiring an outside vendor to do the managing, or using a combination of its staff and an outside vendor. The profit of the corporation depends on future demand. The annual profit of each option (in thousands of dollars) depends on demand as follows: Demand Staffing Options High Median Low Own staff 650 650 600 Outside vendor 900 600 300 Combination 800 650 500 Recommend a decision based on the use of the optimistic, conservative, and minimax regret approaches. If the demand probabilities are 0.2, 0.5, and 0.3, respectively for High, Median, and Low demands, use the expected value approach to determine the optimal decision(show steps).arrow_forward
- Employees at Precision Engine Parts Company produce parts according to exact design specifications. The employees are paid according to a piece-rate system, wherein the faster they work and the more parts they produce, the greater their chances for monthly bonuses. Management suspects that this method of pay may contribute to an increased number of defective parts. A specific part requires a normal, standard time of 23 minutes to produce. The quality control manager has checked the actual average times to produce this part for 10 different employees during 20 days selected at random during the past month and determined the corresponding percentage of defective parts, as follows: Develop a linear regression model relating average production time to percentage defects to determine whether a relationship exists and the percentage of defective items that would be expected with a normal production time of 23 minutes.arrow_forwardCool Beans is a locally owned coffeeshop that competes with two large coffee chains, PlanetEuro and Frothies. Alicia, the owner, is considering two different marketing promotions and thinks that CLV analysis will help her decide the best course of action. An average specialty coffee drink sells for $3.23 and has a margin of 73%. One promotion is providing loyalty cards to her regular customers that would give them one free specialty coffee drink after 10 regular purchases. Alicia estimates that this will increase the frequency of their purchases by 9%. Currently, her customers average buying 2 specialty drinks per week. The second promotion is targeted at new customers. She would offer a free specialty drink to incoming college freshmen by providing a coupon with their orientation packages. Because of her location near the college, she expects that 330 students will come to Cool Beans for a free trial. Of those, she anticipates that 17% will become regular customers who will purchase…arrow_forwardPlease forecast the mileage for 2013 using the Naive method.arrow_forward
- Cool Beans is a locally owned coffeeshop that competes with two large coffee chains, PlanetEuro and Frothies. Alicia, the owner, is considering two different marketing promotions and thinks that CLV analysis will help her decide the best course of action. An average specialty coffee drink sells for $4.26 and has a margin of 83%. One promotion is providing loyalty cards to her regular customers that would give them one free specialty coffee drink after 10 regular purchases. Alicia estimates that this will increase the frequency of their purchases by 14%. Currently, her customers average buying 2 specialty drinks per week. The second promotion is targeted at new customers. She would offer a free specialty drink to incoming college freshmen by providing a coupon with their orientation packages. Because of her location near the college, she expects that 310 students will come to Cool Beans for a free trial. Of those, she anticipates that 16% will become regular customers who will…arrow_forwardThe chairperson of the department of management at Tech wants to forecast the number of students who will enroll in operations management next semester in order to determine how many sections to schedule. The chair has accumulated the following enrollment data for the past 15 semesters: Using Exponential Smoothing with (α = 0.6) compute the forecasted number of student for semester 16 Semester Students Enrolled in OM 1 270 2 310 3 250 4 290 5 370 6 410 7 410 8 450 9 440 10 470 11 525 12 515 13 538 14 544 15 504arrow_forwardData collected on the yearly registration for a Six Sigma seminar at the Quality College are shown in the following table: Year Registrations (000) 1 4 2 6 3 4 4 5 5 10 6 8 7 7 8 9 9 12 10 14 11 15 Develop a 4-year moving average to forecast registrations from year 5 to year 12. Estimate demand again for years 5 to 12 within a 4-year weighted moving average in which registrations in the most recent year are given a weight of 3 and 2, and registrations in the other 2 years are each given a weight of 1. Compute the forecasts for each year using exponential smoothing, with an initial forecast for year 5 of 8. Use α = 0.3. Using MAD, which of the three forecasting methods is best? Using MAPE, which of the three forecasting methods is best? Forecast registrations for year 15, using trend projection.arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Practical Management ScienceOperations ManagementISBN:9781337406659Author:WINSTON, Wayne L.Publisher:Cengage,
Purchasing and Supply Chain ManagementOperations ManagementISBN:9781285869681Author:Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. PattersonPublisher:Cengage Learning
Practical Management Science
Operations Management
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:Cengage,
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
Forecasting 2: Forecasting Types & Qualitative methods; Author: Adapala Academy & IES GS for Exams;https://www.youtube.com/watch?v=npWni9K6Z_g;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