c. Comment on the strength of the relationship between the test scores and production ratings. The coefficient of correlation for the least-squares regression model is and the coefficient of determination is (Enter your responses rounded to three decimal places. More info Test Production Test Production Worker Worker Score Rating Score Rating A 55 43 K 58 57 38 43 75 75 93 87 M 67 48 D 86 77 N 31 26 88 82 62 49 F 66 68 24 25 G 55 47 Q 78 84 Clear all Check H 50 46 R 34 32 41 41 S 51 58 J 69 74 39 30 Print Done

c. Comment on the strength of the relationship between the test scores and production ratings. The coefficient of correlation for the least-squares regression model is and the coefficient of determination is (Enter your responses rounded to three decimal places. More info Test Production Test Production Worker Worker Score Rating Score Rating A 55 43 K 58 57 38 43 75 75 93 87 M 67 48 D 86 77 N 31 26 88 82 62 49 F 66 68 24 25 G 55 47 Q 78 84 Clear all Check H 50 46 R 34 32 41 41 S 51 58 J 69 74 39 30 Print Done

Purchasing and Supply Chain Management

6th Edition

ISBN:9781285869681

Author:Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. Patterson

Publisher:Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. Patterson

ChapterC: Cases

Section: Chapter Questions

Problem 5.3SD: Scenario 4 Sharon Gillespie, a new buyer at Visionex, Inc., was reviewing quotations for a tooling...

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Under what conditions might a firm use multiple forecasting methods?
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. 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.
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?
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 does the Institute of Supply Management code of ethics say about financial conflicts of interest?
A manufacturing firm has developed a skills test, the scores from which can be used to predict workers’ production rating factors. Data on the test scores of various workers and their subsequent production ratings are shown.a. Using POM for Windows’ least squares-linear regression module, develop a relationship to forecast production ratings from test scores.b. If a worker’s test score was 80, what would be your forecast of the worker’s production rating?c. Comment on the strength of the relationship between the test scores and production ratings.
When creating a time series–based forecast for the amount of soda to be sold in thecafeteria next week, which data sources can you include in your forecasting process?a. The opinion of the principalb. Old demand datac. Data about upcoming sports eventsd. The age of the cafeteria worker
Passenger miles flown on Northeast Airlines, a commuterfirm serving the Boston hub, a re shown for the past 12weeks: a) Assuming an initial forecast for week I of 17,000 miles, useexponential smoothing to compute miles for weeks 2 through12. Use a= .2b) What is the MAD for tlus model?c) Compute the Cumulative Forecast Errors and tracking signals. Are they within acceptable limits?
The following table contains the number of complaints received in the department store for first 6 months of operation:Month Jan Feb Mar April May JuneComplaints 36 45 81 90 108 144a. Calculate the forecast for the month from April through June using 3 month moving average? b. What will be the forecast for the month of July using 3 month moving average? c. If actual sales for the month of July turned out to be 145, what will be theforecast for August month using 3 month moving Average?
Using exponential smoothing with a weight of 0.6 on actual values: (a) If sales are $45,000 and $50,000 for 2017 and 2018, what would you forecast for 2019. (The first forecast is equal to the actual value of the preceding year) (b) Given the forecast and actual 2019 sales of $53,000, what would you forecast for 2020
The number of daily calls for the repair of Speedy copy machines has been recorded as follows: a. Prepare three-period moving-average forecasts for the data. What is the error on each day? b. Prepare three-period weighted-moving-average fore-casts using weights of w1= .5, w2= .3, w3= .2. c. Which of the two forecasts is better?
2)Auto sales over a 4-month period were forecasted as follows: 89, 98, 105, and 97. The actual results over the 4-month period were as follows: 92, 96, 101, and 100. What was the MAD of the 4-month forecast? (use an excel sheet to make all calaculations and show formulas used in excel)
Following are two weekly forecasts made by two different methods for the number of gallons of gasoline, in thousands, demanded at a local gasoline station. Also shown areactual demand levels, in thousands of gallons. What a re the MAD and MSE for each method?