organization. Shale TesuiluCASE EXERCISE 3"Demand Forecasting for an Insurance Company25,000 insurance claims annually. In 2010, the claims processed are shown belowClaims processed in 2010:Category of claims processedpersonnel6.Non-life insurance9,35012Life insurance4,880Health care Insurance15,0008.Since there is a direct relationship between the number of claims adjustersneeded and the category of claims processed, the insurance manager referred totheir past year experience.The manager anticipates an increase in work load because the company isacquiring a small insurance business. The following data represent the manager'sprojection of the number of claims to be processed next year:Non-life insurance claims12,350Life insurance claims10,500Health care insurance claims21,000Questions:1.What demand forecasting method should the manager use?2.Using this method, calculate the demand for claims adjusters for nextyear."Demand for an Company"For the past five years, an an of25,000 claims In the claims are below:Human Resource Management: Principles and

Demand forecasting is the technique of estimating future customer demand over a predetermined time…

Answered: CASE EXERCISE 3 "Demand Forecasting for…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter9: Decision Making Under Uncertainty

Section: Chapter Questions

Problem 30P

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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 does the Institute of Supply Management code of ethics say about financial conflicts of interest?
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?
1) Describe a scenario that you have encountered recently as a consumer where a business has either under forecast or iver forecast demand for a product that you were planning to purchase. You will generally notice under forecasting if the product is out of stock or over forecasting if there is excess inventory for the item. Describe the imolications to the retailer,manufacturer, and broader supply chain. You can present your response through thr lens of your own discpline (accounting,mafketing,etc.) if you wish. 2) Give three examples from your life in which you may forecast the future. Highlight the importance of accurate forecasting in the three examples you provide.
Tucson Machinery, Inc., manufactures numerically controlled machines, which sell for an average price of $0.5 million each. Sales for these NCMS for the past two years were as follows: Use Exhibit 18.10. LAST YEAR THIS YEAR QUANTITY (UNITS) QUANTITY QUARTER (UNITS) QUARTER I 11 I 16 II 17 II 23 III 25 III 27 IV 15 IV 18 a. Find the equation of a simple linear regression line using Excel. (Round your answers to 3 decimal places.) Y = b. Compute trend and seasonal factor from a linear regression line obtained with Excel. (Do not round intermediate calculations. Round your answers to 3 decimal places.) Period Trend Forecast Seasonal Factors Last Year II IV This Year II III IV
Tucson Machinery, Inc., manufactures numerically controlled machines, which sell for an average price of $0.5 million each. Sales for these NCMS for the past two years were as follows: Use Exhibit 18.10. LAST YEAR QUANTITY QUARTER (UNITS) THIS YEAR QUANTITY QUARTER (UNITS) 15 15 II III 21 II 27 31 29 19 III IV IV 15 a. Find the equation of a simple linear regression line using Excel. (Round your answers to 3 decimal places.)
Given the following data, use exponential smoothing (a=0.20) to develop a demand forecast. Assume the forecast for the initial period is 6. Period Demand Period Forecast 2 2 1 3 7 9 8 The exponential smoothing forecast is (round your responses to two decimal places): 1 5 6 6.00 2 3 4 8 4 5 13 6 s D 6 7
2. Fastway is a parcel delivery company based in Pretoria. It measures demand on a weekly basis in terms of the number of parcels which it is given to deliver (irrespective of the size of each parcel). The forecast for week 20 is 63. The table below shows actual demands for Fastway. Week Actual demand 20 63 21 62 22 67 23 66 24 67 25 69 26 65 27 71 28 68 29 68 30 70 31 72 32 66 33 68 34 67 Predict the forecast for week 35 using an exponential smoothing with a smoothing constant of 0.20.
Demand for stereo headphones and MP3 players for joggers has caused Nina Industries to grow almost 50 percent over the past year. The number of joggers continues to expand, so Nina expects demand for headsets to also expand, because, as yet, no safety laws have been passed to prevent joggers from wearing them. Demand for the players for last year was as follows: a. Using linear regression analysis, what would you estimate demand to be for each month next year? (Do not round intermediate calculations. Round your answers to 2 decimal places.) b. To be reasonably confident of meeting demand, Nina decides to use 2 standard errors of estimate for safety. How many additional units should be held to meet this level of confidence? (Do not round intermediate calculations. Round your answer to the nearest whole number.)
A method of estimating future demand usedfor decision making in order to set reasonable targets and control orlimit uncertainties or risks.
2. A major airline uses an airport in a large city as a hub for its connecting flights. Each day the airline faces a number of claims from its passengers who lost their baggage. The number of lost baggage claims in the last 14 days have been 67, 25, 57, 58, 35, 29, 77, 44, 38, 36, 23, 69, 53, and 45 a. Use moving average method with N = 3 to forecast the expected number of claims for tomorrow. b. Use exponential smoothing method with parameter α = 0.7 to forecast the number of lost baggage claims that the airline should expect in the next 2 days. c. If the criterion for accuracy is the mean squared error (MSE), which of the forecasting methods in parts (a) and (b) are preferred? d. If you become in charge of providing forecasts for the number of claims in the next 2 days using exponential smoothing method, what would be your point and 90-percent prediction interval forecasts for the number of claims in each of the next 2 days? Use MSE as your evaluation criterion.
*** Can you please demonstrate how to do parts d, e, f? Given: Year Demand 1 7 2 9 3 5 4 9 5 Predict the value for Year 5: 2 year moving average What is MSE for 2 year moving average? 2 year moving average using 0.6 (weight for the oldest period) and 0.4(weight for most recent period Exponential smoothing, =0.2 and forecast for Year 1 = 5 Linear trend Which forecast method has the least amount of error using MAD? What is the coefficient?

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