Richardson Paper manufacturers produces a high quality and large size paper. The cost of prepare a production run for this paper is $10 per run. The inventory carrying cost for this paper is $1.00 per square yard per year. The annual demand for this paper is 6,000 square yards. The manufacturing facility produces this paper 300 days per year and the plant can produce the paper at a rate of 60 square yards per day. Required:
a. What is the optimum quantity of paper to produce?
b. What is the maximum inventory achieved during a production run?
c. How many production runs are needed to meet the annual demand?
d. What is the length of a production run?
e. What is the total annual cost of producing and storing the paper?

cranium, inc., purchases term papers from an overseas supplier under a continuous review system. the average demand for a popular mode is 300 units a day with a standard deviation of 30 units a day. it costs $60 to process each order and there is a five−day lead−time. the holding cost for a paper is $0.25 per year and the company policy is to maintain a 98% service level. cranium operates 200 days per year. what is the reorder point r to satisfy a 98% cycleminus−service level? a. greater than 1,700 unitsb. greater than 1,600 units but less than or equal to 1,700 unitsc. greater than 1,500 units but less than or equal to 1,600 unitsd. less than or equal to 1,500 units

An important application of regression analysis in accounting is in the estimation of cost. by collecting data on volume and cost and using the least squares method to develop an estimated regression equation relating volume and cost, an accountant can estimate the cost associated with a particular manufacturing volume. consider the following sample of production volumes and total cost data for a manufacturing operation. production volume (units) total cost ($) 400 4000 450 5000 550 5400 600 5900 700 6400 750 7000 compute b 1 and b 0 (to 2 decimals if necessary). b 1 b 0 complete the estimated regression equation (to 2 decimals if necessary). = + x what is the variable cost per unit produced (to 1 decimal)? $ compute the coefficient of determination (to 4 decimals). note: report r 2 between 0 and 1. r 2 = what percentage of the variation in total cost can be explained by the production volume (to 2 decimals)? % the company's production schedule shows 500 units must be produced next month. what is the estimated total cost for this operation (to 2 decimals)? $

mary's baskets company expects to manufacture and sell 30,000 baskets in 2019 for $5 each. there are 4,000 baskets in beginning finished goods inventory with target ending inventory of 4,000 baskets. the company keeps no work-in-process inventory. what amount of sales revenue will be reported on the 2019 budgeted income statement?