Lecture_01_to_05_QRpolicy-1

# Lecture_01_to_05_QRpolicy-1 - 73-331 An iterative procedure...

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Unformatted text preview: 73-331 An iterative procedure for finding an optimal (Q,R) policy when no service constraint is specified200.025 are input data0.452000 input1840.724210.1666666667 input data0.05113123Lead time demand parameters:333.3333333333 <--- computed533.575808122.4744871392 input data2.61483058Iteration 1 Iteration 2 Iteration 3 Iteration 4Step 11788.8544Step 20.04969041.6478629535.1545Step 30.0207430.0214230.021445 0.02144572.5404833 2.6237661 2.62646552.626553Step 41839.2702 1840.8996 1840.9523 1840.9541Step 50.0510908 0.0511361 0.0511376 0.05113761.6343676 1.6339364 1.63392251.633922533.50167 533.44886 533.44715 533.44709Fixed cost (K)Note: K, h, and pHolding cost (h)Penalty cost (p)Mean annual demand ()Lead time (29in yearsMean,Standard deviation, Q=Area on the right=1-F(z)z=R=L(z)=n=Modified Q=Area on the right=1-F(z)z=Modified R= z+z+EOQpQh/pQh/Table A1/A4Table A1/A4Table A4)(zLhKnp/+2L(z)z0.0 038230.0 03962.90.0 0412.980.0 04252.970.0 042.960.0 0452.950.0 04722.940.0 0482.930.0 05062.920.0 05232.910.0 05422.90.0 05612.890.0 0582.80.0 062.870.0 06212.860.0 06432.850.0 06 52.840.0 0682.830.0 07122.820.0 07362.810.0 07612.80.0 07872.790.0 08142.780.0 08412.70.0 0872.760.0 0892.750.0 09292.740.0 09612.730.0 09 32.720.0 10262.710.0 1062.70.0 10952.690.0 1 322.680.0 1 692.670.0 12072.60.0 12472.650.0 1282.640.0 132.630.0 13732.620.0 14182.610.0 14642.60.0 1512.590.0 1562.580.0 1612.570.0 16 22.560.0 17152.50.0 17692.540.0 18262.530.0 18 32.520.0 19432.510.0 20 42.50.0 20672.490.0 21322.480.0 2192.470.0 2 672.460.0 23 72.450.0 2412.40.0 24842.430.0 25612.420.0 2642.410.0 2722.40.0 28042.390.0 28 92.380.0 2972.370.0 30672.360.0 31592.350.0 3252.340.0 3 522.30.0 34532.320.0 35 62.310.0 36 22.30.0 372.290.0 38 22.280.0 39 62.270.0 41 42.260.0 42352.250.0 43582.240.0 4 862.230.0 46162.20.0 4752.210.0 48 72.20.0 50282.190.0 51722.180.0 5322.170.0 54722.160.0 56282.150.0 5782.140.0 59522.130.0 6122.120.0 62922.10.0 64682.10.0 6 492.090.0 68352.080.0 70242.070.0 72192.060.0 74182.050.0 76232.040.0 78322.030.0 80462.020.0 8262.010.0 849120.0 87211.90.0 89571.980.0 91981.970.0 94 51.960.0 96981.950.0 9 571.940.0102 21.930.0104931.920.01071.910.01 0541.90.01 3451.890.01 6421.80.01 9461.870.012 571.860.0125751.850.01291.840.013231.830.0135731.820.013921.810.0142761.80.0146391.790.015011.780.015391.70.0157 71.760.0161741.750.0165791.740.0169 21.730.0174151.720.0178471.710.018281.70.0187381.690.0191981.680.0196 81.670.0201471.60.0206371.650.021 371.640.0216471.630.02 1681.620.02 691.610.0232421.60.0237961.590.024361.580.0249371.570.025 251.560.0261241.50.0267361.540.027361.530.0279 61.520.0286451.510.0293071.50.029 811.490.0306 91.480.031371.470.0320851.460.0328130....
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## This note was uploaded on 02/09/2012 for the course ECON 440 taught by Professor Fenn during the Spring '11 term at American Internation College.

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Lecture_01_to_05_QRpolicy-1 - 73-331 An iterative procedure...

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