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Re. the quantitative problems, do all calculations in Excel. I’d like to see your work. Just one number in a cell as an answer without the formula or calculations behind it is not sufficient, you will not get points for that. 16 Home Data Insert Draw Formulas BI U abe Review View A .. Calibri (Body) 14 AB EX 123 fx A B ? D E F 1 The table on the right shows widget sales by the time of the day. 25 pts. 2 3 Month 1 a. Visualize the time series. Is it stationary or non-stationary? Explain. 3 pts 4 5 6 Month 2 7 b. Use the trend function to forecast morning, afternoon, and evening sales for Month 6. State the trend model. Measure the accuracy of the forecast and explain the meaning of the numerical measure you used. 9 pts 8 9 Month 3 Widget sales (1000) 10 8 15 16 14 19 18 14 21 25 20 28 50 46 54 10 11 morning afternoon evening morning afternoon evening morning afternoon evening morning afternoon evening morning afternoon evening morning afternoon evening c. Use trend + seasonal variations method to forecast morning, afternoon, and evening sales for Month 6. State the model, measure its accuracy, and explain the meaning of the accuracy measure you got. 13 pts 12 Month 4 13 14 15 25 pts. Month 5 16 17 18 Month 6 19 20 21 22 23 24 25 Home Insert Draw Formulas Data Review View Shape Calibri (Body) BI Uebe ABC 123 x . ? ? D 1 Year 2010 2011 2 3 4 5 6 7 8 9 10 11 12 13 14 Quarter 1 2 3 4 1 2 3 4 1 2 3 4 Sales 82.5 813 81.3 79 76.6 78 78.4 78 788 78.7 78.4 80 80.7 80.7 80.8 2012 The data on the left represent 15 quarters of sales data. a. Visualize the data set. Is this a stationary or non-stationary time series? Why? 3 pts. b. Compute three-quarter simple and weighted moving averages for this time series. Assume the following weights: newest observation (last period): 0.6; next to last period: 0.3, second to last period: 0.1. Find the forecasts for the 4th quarter of 2013 and for the ist quarter of 2014. Which method provides the better forecast?44 pts c. For the same two periods develop an exponential smoothing forecast. Use smoothing constants alpha = 0.4. 3 pts d. Based on b. and c. which method-moving averages or exponential smoothing – provides the better forecast? Explain. 2 pts 2013 1 2 15 3 4 2014 1 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 Intro LP Forecast 1 Forecast 2 Essay + Home Insert Draw Formulas Data Review View Calibri (Body) 11 ? ? ? I U abc ?. . ? fx ? B C D E F G 1 2 3 A firm produces 3 types of cardboards (A, B, and C) and uses 3 types of processes (I, II, and III) to produce them. The table below shows the production hours per unit of the production processes and other relevant data for the problem. 5 4 5 6 a. Derive the LP model for finding the optimal output mix. 5 pts. 7 b. Implement and solve the model in Excel. State the solution. 12 pts 8 9 10 11 12 13 14 15 16 c. Generate the Sensitivity Report and use it to derive the feasible ranges for the objective function coefficients. Explain the meaning one of the feasible ranges. 8 pts 11 Cardboard type A N 17 18 Operations processes 1 2 4 5 5 2 10 3 2 900 400 600 Profit/unit 40 30 B 5 3 19 C 20 20 Max time available
 
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Sales of quilt covers at Bud Banis’s discount department store in Carbondale over the past year are Neoct Question oment prepared a forecast using a combination of exponential smoothing and its collective judgment for the 4 months (March April May, and June) Month Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Unit Sales 100 93 96 110 124 119 92 83 96 89 Management’s Forecast 120 114 110 108 ) MAD for the forecast developed by the managements technique – 14.5 sales round your response to two decimal placea). MAPE for the forecast developed by the management’s technique – Ofround your response to no decimal places)
 
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Important: Re. the quantitative problems, do all calculations in Excel. I’d like to see your work. Just one number in a cell as an answer without the formula or calculations behind it is not sufficient, you will not get points for that. 16 Home Data Insert Draw Formulas BI U abe Review View A .. Calibri (Body) 14 AB EX 123 fx A B ? D E F 1 The table on the right shows widget sales by the time of the day. 25 pts. 2 3 Month 1 a. Visualize the time series. Is it stationary or non-stationary? Explain. 3 pts 4 5 6 Month 2 7 b. Use the trend function to forecast morning, afternoon, and evening sales for Month 6. State the trend model. Measure the accuracy of the forecast and explain the meaning of the numerical measure you used. 9 pts 8 9 Month 3 Widget sales (1000) 10 8 15 16 14 19 18 14 21 25 20 28 50 46 54 10 11 morning afternoon evening morning afternoon evening morning afternoon evening morning afternoon evening morning afternoon evening morning afternoon evening c. Use trend + seasonal variations method to forecast morning, afternoon, and evening sales for Month 6. State the model, measure its accuracy, and explain the meaning of the accuracy measure you got. 13 pts 12 Month 4 13 14 15 25 pts. Month 5 16 17 18 Month 6 19 20 21 22 23 24 25 Home Insert Draw Formulas Data Review View Shape Calibri (Body) BI Uebe ABC 123 x . ? ? D 1 Year 2010 2011 2 3 4 5 6 7 8 9 10 11 12 13 14 Quarter 1 2 3 4 1 2 3 4 1 2 3 4 Sales 82.5 813 81.3 79 76.6 78 78.4 78 788 78.7 78.4 80 80.7 80.7 80.8 2012 The data on the left represent 15 quarters of sales data. a. Visualize the data set. Is this a stationary or non-stationary time series? Why? 3 pts. b. Compute three-quarter simple and weighted moving averages for this time series. Assume the following weights: newest observation (last period): 0.6; next to last period: 0.3, second to last period: 0.1. Find the forecasts for the 4th quarter of 2013 and for the ist quarter of 2014. Which method provides the better forecast?44 pts c. For the same two periods develop an exponential smoothing forecast. Use smoothing constants alpha = 0.4. 3 pts d. Based on b. and c. which method-moving averages or exponential smoothing – provides the better forecast? Explain. 2 pts 2013 1 2 15 3 4 2014 1 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 Intro LP Forecast 1 Forecast 2 Essay + Home Insert Draw Formulas Data Review View Calibri (Body) 11 ? ? ? I U abc ?. . ? fx ? B C D E F G 1 2 3 A firm produces 3 types of cardboards (A, B, and C) and uses 3 types of processes (I, II, and III) to produce them. The table below shows the production hours per unit of the production processes and other relevant data for the problem. 5 4 5 6 a. Derive the LP model for finding the optimal output mix. 5 pts. 7 b. Implement and solve the model in Excel. State the solution. 12 pts 8 9 10 11 12 13 14 15 16 c. Generate the Sensitivity Report and use it to derive the feasible ranges for the objective function coefficients. Explain the meaning one of the feasible ranges. 8 pts 11 Cardboard type A N 17 18 Operations processes 1 2 4 5 5 2 10 3 2 900 400 600 Profit/unit 40 30 B 5 3 19 C 20 20 Max time available

 
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1- All of the following are wrong about the power of penalty except

You should waive without using it

Used with violence to leave the desired impact

The best punishment is salary deduction without insult

All of the above is true statements

2- One of the objectives of the meetings

Discussing a specific problem

Study the results of a specific project

exchanging opinions

All of the above

3- Fish bone analysis is a part of

Defining the problem

Problem Analysis

Alternative Solutions

Action plan

4- Disadvantages of meetings may include

Some monopoly discussions

Some attend the meeting without preparation

Decisions are often compromises

all of the above

5- 3Cs Analysis contains

Consumers

Customer

Advertising agencies

All of the above

6- Characteristics of scoring matrix

A complicated process

Used for selecting the best alternative

Needs high analytical and mathematical skills

all of the above

7- The Methodology includes all the following except

Job Description

Decision Making Method

Pricing method

All of the above

8- Statement of problem is a part of

Defining the problem

Problem Analysis

Alternative Solutions

action plan

9- All of the following are true about action plan except

Conduct analysis for punishment

The third step of planning

Consists of five columns

None of the above

10- Bureaucracy in his country is considered as a part of the …. Factors

Political

Sociocultural

Legislative

None of the above


 
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