George Kyparisis makes bowling balls in his Miami plant. With recent increases in his costs, he has anewfound interest in efficiency. George is interested in determining the productivity of his organization.He would like to know if his organization is maintaining the manufacturing average of a 3% increase inproductivity. He has the following data representing a month from last year and an equivalent monththis year:Last YearNowCost Per Input UnitUnits Produced1,2001,200Labor (hours)Resin (pounds)$10 per hour$6 per pound2% per month$0.60 per BTU3002755045Capital Invested ($)Energy (BTU)10,00011,0002,9002,750The percent change in productivity for one month last year versus one month this year on a multifactorbasis with dollars as the common denominator = % (enter your response as a percentage roundedto two decimal places).

Answered: Image /qna-images/answer/7f7a9b36-473c-477e-b4f0-a026942f9b9f.jpg

Answered: "he percent change in productivity for…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter4: Linear Programming Models

Section4.8: Data Envelopment Analysis (dea)

Problem 41P

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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.
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An office manager is concerned with declining productivity. Despite the fact that she regularly monitors her clerical staff four times each day—at 9:00 AM, 11:00 AM, 1:00 PM, and again at 3:00 PM—office productivity has declined 30 percent since she assumed the helm one year ago.Would you recommend that the office manager invest more time monitoring the productivity of her clerical staff? Explain. Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.
Given the attached data. Answer the following questions for a 7 period moving average. t At 1 5477 2 3338 3 4799 4 2852 5 6332 6 8385 7 4382 8 4184 9 14229 10 10385 11 11676 12 5271 13 8938 14 9279 15 13990 16 2890 17 13027 18 8970 19 6700 20 7065 21 12491 22 8748 23 8396 24 6102 25 7559 26 7997 27 11981 28 10680 29 5783 30 2501 31 7620 32 10194 33 7908 34 11985 35 5863 36 3024 37 8758 38 1640 39 6569 40 11728 41 6659 42 2830 43 10018 44 8448 45 12409 46 2083 47 6374 48 7438 49 4576 50 4795 MAD = Average(|A-F|) TS =SUM(A-F)/MAD MSE = Average(A-F)2 1. Compute your forecast for period 51. The potential answers are: A: 11221.6 units. B: 12461 units. C: 8020.83 units. D: 4414 units. E: 6589 units.
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Directions: For each of the following situations: a. indentify the independent variable/s b. name the dependent variable; and c. give the two attributes of each variable A study on customer's satisfaction based on the quality of food offered in fast foods.
Tucson Machinery, Inc., manufactures numerically controlled machines, which sell for an average price of $14.0 million each. Sales for these NCMs for the past two years were as follows: Use Exhibit 3.10. QUARTER LAST YEAR I II III IV QUANTITY (UNITS) Y = 14 20 28 18 QUARTER THIS YEAR I II III IV QUANTITY (UNITS) 20 26 30 15 a. Find the equation of a simple linear regression line using Excel. (Round your answers to 3 decimal places.) > Answer is complete but not entirely correct. 18.535 X + 0.630 t

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"he percent change in productivity for one month last year versus one month this year on a multifactor asis with dollars as the common denominator = % (enter your response as a percentage rounded p two decimal places). %3D

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