Answer Happy

Posted: **Wed Apr 27, 2022 1:25 pm**

: 1 Tony Spent 2000 On A New Kiln Last Year In The Belief That It Would Cut Annual Energy Usage 20 Over The Old Kiln T 1 (54.43 KiB) Viewed 37 times

: 1 Tony Spent 2000 On A New Kiln Last Year In The Belief That It Would Cut Annual Energy Usage 20 Over The Old Kiln T 2 (54.43 KiB) Viewed 37 times

: 1 Tony Spent 2000 On A New Kiln Last Year In The Belief That It Would Cut Annual Energy Usage 20 Over The Old Kiln T 3 (54.43 KiB) Viewed 37 times

1. Tony spent $2000 on a new kiln last year in the belief that it would cut annual energy usage 20% over the old kiln. This kiln is an oven that turns "greenware" into finished pottery. Tony is concerned that the new kiln requires extra labor hours for its operation. Tony wants to check the energy savings of the new oven, and also to look over other measures of their productivity to see if the change really was beneficial. Mark has the following data to work with: Last Year This Yead Production (finished units,p000 booo Material (Ke) 3000 SOO Labor Chr) BSO 190 Capital (S) 10000 0000 Energy (kWh) 4000 bo The cost for materials is 15 per kg, cost of labor 55 per labor hour, and overheads 28 per kWh. .) Measure Single Factor Productivity for all inputs? Compare them between the two years Measure Multifactor Productivity for each year. Were the modifications beneficial? Diff: 2 Objective: LO 1.6 Compute single-factor productivity AACSB: Analytical thinking Learning Outcome: Discuss operations and operations management as a competitive advantage for the organization 2. Given the following data, calculate: - Forecast year 10 using a four-year moving average Forecast year 10 using a four year weighted moving average (weights: 0.1, 0.2, 0.3, 0.4) Calculate MAD, MSE and MAPE for each forecast. Which model is more accurate? Year Demand 84 2 100 3 69 4 101 5 150 6 108 7 120 8 133 9 100