Concept explainers
Auto batteries have an average life of 2.7 years. Battery life is
a. What percentage of batteries would you expect to fail before the warranty period expires?
b. A competitor is offering a warranty of 30 months on its premium batten. The manager of this company is toying with the idea of using the same batten with a different exterior, labeling it as a premium battery, and offering a 30-month warranty on it. How much more would the company have to charge on its “premium” batten to offset the additional cost of replacing batteries?
c. What other factors would you take into consideration besides the price of the battery?
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OPERATIONS MANAGEMENT W/ CNCT+
- assess how Human Capital Management Strategy is aimed at building an effective integrated performance management system: Discuss how human capital management strategy relates to performance management.arrow_forwardCASE STUDY 9-1 Was Robert Eaton a Good Performance Management Leader? R obert Eaton was CEO and chairman of Chrys- ler from 1993 to 1998, replacing Lee Iacocca, who retired after serving in this capacity since 1978. Eaton then served as cochairman of the newly merged DaimlerChrysler organization from 1998 to 2000. In fact, Eaton was responsible for the sale of Chrysler Corporation to Daimler-Benz, thereby creating DaimlerChrysler. With 362,100 employees, DaimlerChrysler had achieved revenues of €136.4 billion in 2003. DaimlerChrysler's passenger car brands included Maybach, Mercedes-Benz, Chrysler, Jeep, Dodge, and Smart. Commercial vehicle brands included Mercedes-Benz, Freightliner, Sterling, Western Star, and Setra. From the beginning of his tenure as CEO, Eaton communicated with the people under him. He immediately shared his plans for the future with his top four executives, and upon the advice of his colleague, Bob Lutz, decided to look around the company before making any hasty…arrow_forwardCritically assess Martin’s coaching style.arrow_forward
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- Scenario You have been given a task to create a demand forecast for the second year of sales of a premium outdoor grill. Accurate forecasts are important for many reasons, including for the company to ensure they have the materials they need to create the products required in a certain period of time. Your objective is to minimize the forecast error, which will be measured using the Mean Absolute Percentage Error (MAPE) with a goal of being below 25%. You have historical monthly sales data for the past year and access to software that provides forecasts based on five different forecasting techniques (Naïve, 3-Month Moving Average, Exponential Smoothing for .2, Exponential Smooth for .5, and Seasonal) to help determine the best forecast for that particular month. Based on the given data, you will identify trends and patterns to create a more accurate forecast. Approach Consider the previous month's forecast to identify which technique is most effective. Use that to forecast the next…arrow_forwardApproach Consider the previous month's forecast to identify which technique is most effective. Use that to forecast the next month. Remember to select the forecasting technique that produces the forecast error nearest to zero. For example: a. Naïve Forecast is 230 and the Forecast Error is -15. b. 3-Month Moving Forecast is 290 and the Forecast Error is -75. c. Exponential Smoothing Forecast for .2 is 308 and the Forecast Error is -93. d. Exponential Smoothing Forecast for .5 is 279 and the Forecast Error is -64. e. Seasonal Forecast is 297 and the Forecast Error is -82. The forecast for the next month would be 230 as the Naïve Forecast had the Forecast Error closest to zero with a -15. This forecasting technique was the best performing technique for that month. You do not need to do any external analysis-the forecast error for each strategy is already calculated for you in the tables below. Naïve Month Period Actual Demand Naïve Forecast Error 3- Month Moving Forecast 3- Month Moving…arrow_forwardScenario You have been given a task to create a demand forecast for the second year of sales of a premium outdoor grill. Accurate forecasts are important for many reasons, including for the company to ensure they have the materials they need to create the products required in a certain period of time. Your objective is to minimize the forecast error, which will be measured using the Mean Absolute Percentage Error (MAPE) with a goal of being below 25%. You have historical monthly sales data for the past year and access to software that provides forecasts based on five different forecasting techniques (Naïve, 3-Month Moving Average, Exponential Smoothing for .2, Exponential Smooth for .5, and Seasonal) to help determine the best forecast for that particular month. Based on the given data, you will identify trends and patterns to create a more accurate forecast. Approach Consider the previous month's forecast to identify which technique is most effective. Use that to forecast the next…arrow_forward
- Practical Management ScienceOperations ManagementISBN:9781337406659Author:WINSTON, Wayne L.Publisher:Cengage,MarketingMarketingISBN:9780357033791Author:Pride, William MPublisher:South Western Educational Publishing