Shorts Manufacturing, Inc., has implemented lean manufacturing in its Kansas City plant as a pilot program. One of its value streams produces a family of small electric tools. The value-stream team managers were quite excited about the results, as some of their efforts to eliminate waste were proving to be effective. During the most recent three weeks, the following data pertaining to the electric tool value stream were collected:
Week 1:
Demand = 90 units @ $40
Beginning inventory = 10 units @ $20 ($5 materials and $15 conversion)
Production = 90 units using $450 of material and $1,350 of conversion cost
Week 2:
Demand = 100 units @ $40
Beginning inventory = 10 units @ $20 ($5 materials and $15 conversion)
Production = 90 units using $450 of material and $1,350 of conversion cost
Week 3:
Demand = 90 units @ $40
Beginning inventory = 0
Production = 100 units using $500 of material and $1,500 of conversion cost
Required:
- 1. Prepare a traditional income statement for each week.
- 2. Calculate the average value-stream product cost for each week. What does this cost signal, if anything?
- 3. Prepare a value-stream income statement for each week. Assume that any increase in inventory is valued at average cost. Comment on the financial performance of the value stream and its relationship to traditional income measurement.
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Cornerstones of Cost Management (Cornerstones Series)
- The manager of the main laboratory facility at UrbanFit Center is interested in being able to predict the overhead costs each month for the lab. The manager believes that total overhead varies with the number of lab tests performed I that some costs remain the same each month regardless of the number of lab tests performed. The lab manager collected the following data for the first seven months of the year. (Click the icon to view the data.) Use the high-low method to determine the laboratory's cost equation for total laboratory overhead. Use your results to predict total laboratory overhead if 3,500 lab tests are performed next month. Let's begin by determining the formula that is used to calculate the variable cost (slope). Data table Variable cost (slope) Number of Lab Month Tests Performed Total Laboratory Overhead Costs January 2,800 $21,500 February 2,600 $22,700 March 3,100 $27,900 April.... 3,550 $31,400 May 3,700 $28,500 June.. 1,200 $19,500 July 1,400 $14,500 Print Done Xarrow_forwardOakwood Company produces maple bookcases. The following information is available for the production of a recent order of 500 bookcases. Process time 6.0 days Inspection time 0.8 days Move time 3.2 days Wait time 5.0 days 1. Compute the company’s manufacturing cycle time. 2. Compute the company’s manufacturing cycle efficiency. 3. Management believes it can reduce move time by 1.2 days and wait time by 2.8 days by adopting lean manufacturing techniques. Compute the company’s cycle efficiency assuming the company’s predictions are correct.arrow_forwardBig Mikes, a large hardware store, has gathered data on its overhead activities and associated costs for the past 10 months. Nizam Sanjay, a member of the controllers department, believes that overhead activities and costs should be classified into groups that have the same driver. He has decided that unloading incoming goods, counting goods, and inspecting goods can be grouped together as a more general receiving activity, since these three activities are all driven by the number of receiving orders. The 10 months of data shown below have been gathered for the receiving activity. Required: 1. Prepare a scattergraph, plotting the receiving costs against the number of purchase orders. Use the vertical axis for costs and the horizontal axis for orders. 2. Select two points that make the best fit, and compute a cost formula for receiving costs. 3. Using the high-low method, prepare a cost formula for the receiving activity. 4. Using the method of least squares, prepare a cost formula for the receiving activity. What is the coefficient of determination?arrow_forward
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- Mabbut Company has the following departmental manufacturing layout for one of its plants: A consulting firm recommended a value stream with the following manufacturing cell: Required: 1. Calculate the total time it takes to produce a batch of 10 units using the traditional departmental manufacturing layout. 2. Using cellular manufacturing, how much time is saved producing the same batch of 10 units? Assuming the cell operates continuously, what is the production rate? Which process controls this production rate? 3. Assume the processing time of Welding is reduced to 6 minutes, while the times of the other processes stay the same. What is the production rate now, and how long will it take to produce a batch of 10 units if the cell is in a continuous production mode?arrow_forwardCorazon Manufacturing Company has a purchasing department staffed by five purchasing agents. Each agent is paid 28,000 per year and is able to process 4,000 purchase orders. Last year, 17,800 purchase orders were processed by the five agents. Required: 1. Calculate the activity rate per purchase order. 2. Calculate, in terms of purchase orders, the: a. total activity availability b. unused capacity 3. Calculate the dollar cost of: a. total activity availability b. unused capacity 4. Express total activity availability in terms of activity capacity used and unused capacity. 5. What if one of the purchasing agents agreed to work half time for 14,000? How many purchase orders could be processed by four and a half purchasing agents? What would unused capacity be in purchase orders?arrow_forwardHeavenly Chocolates manufactures and sells quality chocolate products at its plant and retail store located in Saratoga Springs, New York. Two years ago, the company developed a web site and began selling its products over the Internet. Web-site sales have exceeded the company’s expectations, and management is now considering strategies to increase sales even further. To learn more about the web-site customers, a sample of 50 Heavenly Chocolate transactions was selected from the previous month’s sales. Data showing the day of the week each transaction was made, the type of browser the customer used, the time spent on the web site, the number of web pages viewed, and the amount spent by each of the 50 customers are contained in the file named Heavenly Chocolates. A portion of the data is shown in the table that follows: Heavenly Chocolates would like to use the sample data to determine whether online shoppers who spend more time and view more pages also spend more money during their visit to the web site. The company would also like to investigate the effect that the day of the week and the type of browser have on sales. Managerial Report Use the methods of descriptive statistics to learn about the customers who visit the Heavenly Chocolates web site. Include the following in your report. Graphical and numerical summaries for the length of time the shopper spends on the web site, the number of pages viewed, and the mean amount spent per transaction. Discuss what you learn about Heavenly Chocolates’ online shoppers from these numerical summaries. Summarize the frequency, the total dollars spent, and the mean amount spent per transaction for each day of week. Discuss the observations you can make about Heavenly Chocolates’ business based on the day of the week? Summarize the frequency, the total dollars spent, and the mean amount spent per transaction for each type of browser. Discuss the observations you can make about Heavenly Chocolates’ business based on the type of browser? Develop a scatter diagram, and compute the sample correlation coefficient to explore the relationship between the time spent on the web site and the dollar amount spent. Use the horizontal axis for the time spent on the web site. Discuss your findings. Develop a scatter diagram, and compute the sample correlation coefficient to explore the relationship between the number of web pages viewed and the amount spent. Use the horizontal axis for the number of web pages viewed. Discuss your findings. Develop a scatter diagram, and compute the sample correlation coefficient to explore the relationship between the time spent on the web site and the number of pages viewed. Use the horizontal axis to represent the number of pages viewed. Discuss your findings.arrow_forward
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