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Answer :
Certainly! Let's go through the solution to the problem step by step.
### Question 1: Forecasting Demand
#### A) Calculate the Forecast for March
1. Using 4 Data Points (Sep, Oct, Nov, Dec):
- Given demands: 200 (Sep), 210 (Oct), 205 (Nov), 220 (Dec)
- Forecast = (200 + 210 + 205 + 220) / 4 = 208.75
2. Using 5 Data Points (Sep, Oct, Nov, Dec, Jan):
- Given demands: 200 (Sep), 210 (Oct), 205 (Nov), 220 (Dec), 235 (Jan)
- Forecast = (200 + 210 + 205 + 220 + 235) / 5 = 214.0
3. Using 3 Data Points (Oct, Nov, Dec):
- Given demands: 210 (Oct), 205 (Nov), 220 (Dec)
- Forecast = (210 + 205 + 220) / 3 = 211.67
#### B) Weighted Demand Calculations
1. Calculate the Forecast Demand for February:
- Weights: [3.5, 3, 2, 1.5] for most recent to past months
- Given demands: 200 (Sep), 210 (Oct), 205 (Nov), 220 (Dec)
- Forecast for February = (1.5 200 + 2 210 + 3 205 + 3.5 220) / (1.5 + 2 + 3 + 3.5) = 210.5
2. If the Demand of February is 130, Forecast the Demand for March:
- New February demand: 130
- March Forecast = 0.3 210.5 + 0.7 130 = 154.15
3. Given March = 140, April = 150, Forecast the Demand for May:
- Weighted average using March (140) and April (150) demands:
- May Forecast = (3 140 + 3.5 150) / 6.5 = 43.6154 (approx)
4. Forecasted Demand for December Using November and December:
- Given Forecasts: 210 (November), 230 (December)
- Forecast for December = (210 + 230) / 2 = 220.0
5. Forecasted Demand for January:
- Using weighted demand referencing from known forecasts:
- January Forecast = (3.5 130 + 3 235 + 2 220 + 1.5 205) / 10 = 190.75
#### C) Using Exponential Smoothing
1. Smoothing Constant: 0.3
- Forecast for December = 0.3 235 + 0.7 190.75 = 204.025
- Forecast for January = 0.3 204.025 + 0.7 235 = 225.7075
### Question 2: Supplier Ranking Using Weighted Point Method
Criteria and Points:
- Quality: 50
- Delivery: 25
- Cost Reduction Suggestion: 15
- Price: 10
Supplier Performance Ratings:
- Supplier A: (Quality: 80%, Delivery: 70%, Cost Reduction: 10%, Price: 100%)
- Supplier B: (Quality: 90%, Delivery: 80%, Cost Reduction: 15%, Price: 80%)
- Supplier C: (Quality: 80%, Delivery: 100%, Cost Reduction: 50%, Price: 70%)
Calculate Total Scores:
- Supplier A: (0.8 50) + (0.7 25) + (0.1 15) + (1.0 10) = Total Score
- Supplier B: (0.9 50) + (0.8 25) + (0.15 15) + (0.8 10) = Total Score
- Supplier C: (0.8 50) + (1.0 25) + (0.5 15) + (0.7 10) = Total Score
Best Supplier Selection:
- Rank suppliers based on total scores obtained from above.
- Supplier C ranks highest based on calculated scores.
These detailed explanations help break down each part of the question, ensuring a clear and comprehensive understanding.
### Question 1: Forecasting Demand
#### A) Calculate the Forecast for March
1. Using 4 Data Points (Sep, Oct, Nov, Dec):
- Given demands: 200 (Sep), 210 (Oct), 205 (Nov), 220 (Dec)
- Forecast = (200 + 210 + 205 + 220) / 4 = 208.75
2. Using 5 Data Points (Sep, Oct, Nov, Dec, Jan):
- Given demands: 200 (Sep), 210 (Oct), 205 (Nov), 220 (Dec), 235 (Jan)
- Forecast = (200 + 210 + 205 + 220 + 235) / 5 = 214.0
3. Using 3 Data Points (Oct, Nov, Dec):
- Given demands: 210 (Oct), 205 (Nov), 220 (Dec)
- Forecast = (210 + 205 + 220) / 3 = 211.67
#### B) Weighted Demand Calculations
1. Calculate the Forecast Demand for February:
- Weights: [3.5, 3, 2, 1.5] for most recent to past months
- Given demands: 200 (Sep), 210 (Oct), 205 (Nov), 220 (Dec)
- Forecast for February = (1.5 200 + 2 210 + 3 205 + 3.5 220) / (1.5 + 2 + 3 + 3.5) = 210.5
2. If the Demand of February is 130, Forecast the Demand for March:
- New February demand: 130
- March Forecast = 0.3 210.5 + 0.7 130 = 154.15
3. Given March = 140, April = 150, Forecast the Demand for May:
- Weighted average using March (140) and April (150) demands:
- May Forecast = (3 140 + 3.5 150) / 6.5 = 43.6154 (approx)
4. Forecasted Demand for December Using November and December:
- Given Forecasts: 210 (November), 230 (December)
- Forecast for December = (210 + 230) / 2 = 220.0
5. Forecasted Demand for January:
- Using weighted demand referencing from known forecasts:
- January Forecast = (3.5 130 + 3 235 + 2 220 + 1.5 205) / 10 = 190.75
#### C) Using Exponential Smoothing
1. Smoothing Constant: 0.3
- Forecast for December = 0.3 235 + 0.7 190.75 = 204.025
- Forecast for January = 0.3 204.025 + 0.7 235 = 225.7075
### Question 2: Supplier Ranking Using Weighted Point Method
Criteria and Points:
- Quality: 50
- Delivery: 25
- Cost Reduction Suggestion: 15
- Price: 10
Supplier Performance Ratings:
- Supplier A: (Quality: 80%, Delivery: 70%, Cost Reduction: 10%, Price: 100%)
- Supplier B: (Quality: 90%, Delivery: 80%, Cost Reduction: 15%, Price: 80%)
- Supplier C: (Quality: 80%, Delivery: 100%, Cost Reduction: 50%, Price: 70%)
Calculate Total Scores:
- Supplier A: (0.8 50) + (0.7 25) + (0.1 15) + (1.0 10) = Total Score
- Supplier B: (0.9 50) + (0.8 25) + (0.15 15) + (0.8 10) = Total Score
- Supplier C: (0.8 50) + (1.0 25) + (0.5 15) + (0.7 10) = Total Score
Best Supplier Selection:
- Rank suppliers based on total scores obtained from above.
- Supplier C ranks highest based on calculated scores.
These detailed explanations help break down each part of the question, ensuring a clear and comprehensive understanding.
Thanks for taking the time to read For each question show all the necessary steps 1 Given the demand for the first 5 months of 2015 as follows tex begin tabular l. We hope the insights shared have been valuable and enhanced your understanding of the topic. Don�t hesitate to browse our website for more informative and engaging content!
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