Limits encountered by companies during the implementation of balanced scorecards
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Limits encountered by companies during the implementation of balanced scorecards
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- At the beginning of each week, a machine is in one of four conditions: 1 = excellent; 2 = good; 3 = average; 4 = bad. The weekly revenue earned by a machine in state 1, 2, 3, or 4 is 100, 90, 50, or 10, respectively. After observing the condition of the machine at the beginning of the week, the company has the option, for a cost of 200, of instantaneously replacing the machine with an excellent machine. The quality of the machine deteriorates over time, as shown in the file P10 41.xlsx. Four maintenance policies are under consideration: Policy 1: Never replace a machine. Policy 2: Immediately replace a bad machine. Policy 3: Immediately replace a bad or average machine. Policy 4: Immediately replace a bad, average, or good machine. Simulate each of these policies for 50 weeks (using at least 250 iterations each) to determine the policy that maximizes expected weekly profit. Assume that the machine at the beginning of week 1 is excellent.An example of constructed balanced scorecardCreate a Balanced Score Card for Shannon School of Business at Cape Breton University:
- Chart and Regression analysis : What does the intercept predict? X: C16 (number of cars on the sales lot) versus Y: C17 (cars sold per day) Equation: y=2.9x + 14.5 Slope:2.9 Intercept:14.5 Does the intercept mean the intercept is 14.5 means that the cars sold per day( Y) predicted number of cars on sale lot(X) to be 14.5, but this intercept has no meaning. So, I will not use to predict cars sold per day?Estimating a cost function, high-low method. Lacy Dallas is examining customer-service costs in the southern region of Camilla Products. Camilla Products has more than 200 separate electrical products that are sold with a 6-month guarantee of full repair or replacement with a new product. When a product is returned by a customer, a service report is prepared. This service report includes details of the problem and the time and cost of resolving the problem. Weekly data for the most recent 8-week period are as follows: Plot the relationship between customer-service costs and number of service reports. Is the relationship economically plausible? Use the high-low method to compute the cost function relating customer-service costs to the number of service reports. What variables, in addition to number of service reports, might be cost drivers of weekly customer-service costs of Camilla Products?Forecasting Ticket Revenue for Orlando Magic Basketball Games For its first two decades of existence, the NBA’s Orlando Magic basketball team set seat prices for its 41- game home schedule the same for each game. If a lower-deck seat sold for $150, that was the price charged, regardless of the opponent, day of the week, or time of the season. If an upper-deck seat sold for $10 in the first game of the year, it likewise sold for $10 for every game. But when Anthony Perez, director of business strategy, finished his MBA at the University of Florida, he developed a valuable database of ticket sales. Analysis of the data led him to build a forecasting model he hoped would increase ticket revenue. Perez hypothesized that selling a ticket for similar seats should differ based on demand. Studying individual sales of Magic tickets on the open Stub Hub marketplace during the prior season. Perez determined the additional potential sales revenue the Magic could have made had they charged prices…
- The Grand Bakery produces 60 special sourdough rolls every day. Any rolls that are not sold each day are given to the employees. They have collected sales data from the past week: Day Rolls sold 1 50 2 50 3 48 4 60 5 53 6 60 What is the value of F6 if they use a 3-day weighted moving average with W1 = 0.6, W2 = 0.2, and W3 = 0.2? Using the data from above, calculate the forecast for period 7 using a four-period moving average:Utah Utensil has developed a new kitchen utensil. The firm has conducted significant market research and estimated the following pattern for sales of the new product: Year Expected Volume Expected Price per Unit 1 48,000 units $19 2 48,000 units $20 3 90,000 units $16 4 40,000 units $12 If the firm desires to net $3.50 per unit in profit over the life of the product, and selling and administrative expenses are expected to average $50,000 per year, what is the target cost to produce the new utensil?A company is planning to launch a new product. It currently has four possible new products under consideration to invest in but it must select one. It has estimated the following data: Product Expected annual demand Unit cost of production Unit selling price Fixed cost incurred before production Expected product life in years A 500 Product B Product A Product C Product D £700 £900 £150,000 2 years B 700 £900 £1300 £350,000 2.5 years C 850 £1000 £1400 £450,000 3 years D 1000 £1200 £1500 £550,000 3.25 years On the basis that the main selection criterion is the product that offers the largest safety margin between break even quantity and expected product life select the safest product to invest in.
- An auditor used regression analysis to evaluate the relationship between utility costs andmachine hours. The following information was developed using a computer softwareprogram: Intercept 2,050 Standard error of estimate 200Regression 0.825 Number of observations 36Correlation coefficient 0.800 How much is the utility cost if the company’s 10 machines will use 2,400 hours next month?a. ₱3,830b. ₱3,970c. ₱4,030d. ₱4,050Figure shows summer air visibility measurements for Denver, Colorado. The acceptable visibility standard is 100, with readings above 100 indicating clean air and good visibility, and readings below 100 indicating temperature inversions caused by forest fires, volcanic eruptions, or collisions with comets.a. Is a trend evident in the data? Which time-series techniques might be appropriate for estimating the average of these data?b. A medical center for asthma and respiratory diseases located in Denver has great demand for its services when air quality is poor. If you were in charge of developing a short-term (say, 3-day) forecast of visibility, which causal factor(s) would you analyze? In other words, which external factors hold the potential to significantly affect visibility in the short term?c. Tourism, an important factor in Denver’s economy, is affected by the city’s image. Air quality, as measured by visibility, affects the city’s image. If you were responsible for development of…12.2 The manager of the I-85 Carpet outlet needs to be able to forecast accurately the demand for Soft Shag carpet (its biggest seller). If the manager does not order enough carpet from the carpet mill, customers will buy their carpets from one of the outlets many competitors. The manager has collected the following demand data for the past 8 months. Month 1 2 3 4 5 6 7 8 Demand for Soft Shag Carpet (1000 yd) 5 10 6 8 14 10 9 12 a. Compute a three-month moving average forecast for months 4 through 9.
