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IE 214: Operations Management
KAMAL Lecture 3 IE 214: Operations Management Forecasting
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EXERCISE 4.3 Solution: a) There is no pattern of any kind
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EXERCISE 4.3 Solution: Year 1 2 3 4 5 6 7 8 9 10 11 Frcast Demand 13 8
8 12 9 7 (b) 3-year moving 7.7 11.3 (c) 3-year weighted 6.4 7.8 9.6 10.9 12.2 10.5 10.6 8.4
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EXERCISE 4.3 Solution: d) The 3-year moving average method gives better results
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EXERCISE 4.5 Solution: (381+368+374)/3 = 374.33
b) (381*0.1)+(368*0.3)+(374*0.6) = 372.9
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EXERCISE 4.5 Solution: c) Ft = F t-1 + α(At-1 – Ft-1) ; α = 0.2
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EXERCISE 4.8 Given:
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EXERCISE 4.8 Solution: a) Ft = ( )/3 =
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EXERCISE 4.8 89 b) Ft = (88+90)/2 = 89
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EXERCISE 4.8 c) MAD = ∑|At-Ft|/n = 13.5/5 = 2.7
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EXERCISE 4.8 d) MSE = ∑(At-Ft)^2/n = 66.75/5 = 13.35
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EXERCISE 4.8 e) MAPE = (∑|At-Ft|/At)*100/n = *100/5 = %
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EXERCISE 4.19 Solution: Ft = F t-1 + α(At-1 – Ft-1)
F5 = F4 + α(A4 – F4) = *( ) = 49
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HW 4.1 4.4 4.14 4.45
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EXERCISE 4.20 Given: α = 0.1 , ß = 0.2
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Ft= α(At-1) + (1- α)(Ft-1 + Tt-1) Tt= ß(Ft - Ft-1) + (1- ß)*Tt-1
EXERCISE 4.20 Solution: Ft= α(At-1) + (1- α)(Ft-1 + Tt-1) Tt= ß(Ft - Ft-1) + (1- ß)*Tt-1 FIT = Ft + Tt
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EXERCISE 4.20 Ft= 0.1*(70) + (0.9)(65 + 0) = 65.5
65.6 Ft= 0.1*(70) + (0.9)(65 + 0) = 65.5 Tt= 0.2( ) + (0.8)*0 = 0.1 FIT = = 65.6
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EXERCISE 4.20
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EXERCISE 4.21 MSE= ∑(Error^2)/n = 12.7
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EXERCISE 4.26 Given: a= y – b x Y = a + b x = 5 + (20)(5) = 105 ^
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EXERCISE 4.26 Solution:
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EXERCISE 4.26 Solution: b= (650)-(4)(2.5)(55)/[(30)-(4*(2.5^2))] = 100/5 = 20 a= 55 – (20*2.5) = 5 Y = a + b x = 5 + (20)(5) = 105 ^
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HW 4.38 4.48
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EXERCISE 4.30
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EXERCISE 4.30 Given: 1000 radials produced each year.
Production planned to be 1200 radials next year.
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EXERCISE 4.30 Solution: 1200 / 4 = 300 radials planned to be sold each season next year 300 * Is = Forecast for next year’s season
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EXERCISE 4.30 Solution:
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HW PROBLEMS 4.27 4.29
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