定量订货法、定期订货法实验

1114.756117
1115
1053
1
106.7047495 6.712449502
716.2502424
716
1054
1
107.942208 9.709589247
1048.074502
1048
1056
1
98.56752311 8.107437023
799.1299861
799
1057
1
96.77789901 13.43576176
1210.455234
1210
867
1
103.7292011 10.25412191
1063.651874
1064
876
1
101.711004 9.911922259
1008.151564
1008
880
1
103.403602 12.88360752
1332.211425
1332
893
2
92.62365691 10.41193289
1024.844722
1025
1004
1
98.99906697 11.84240434
1172.386981
1172
1007
1
104.5635034 9.597439455
1003.541893
1004
1008
1
93.40089971 12.10721737
1130.824995
1131
1010
1
99.74304501 10.4399476
1031.322114
1031
1035
2
112.4953658 12.13460225
1365.08652
1365
1036
1
101.054849 10.4579897
1056.83057
1057
1038
3
103.5384232 13.35934601
1383.205621
1383
1040
1
98.32909339 7.774502845
1036.029953
1036
1131
1
101.7968318 8.775465428
893.3145785
893
1133
1
104.3556952 8.311213858
867.3225
867
1144
2
98.12091573 11.65579877
1143.677649
1144
1147
1
100.1233673 13.50895789
（2）计算实际订 货周期 订货量=最高库存 量—实际库存量 实际订货量Qi=QMAX —（Qki+Ii—Bi）
最高库存量： 现有库存量： 已订未到货物量： 已售未发货物量：
所以第i次订货 量：
20
10
QMAX= 262 Qki= 30 Ii= 50 Bi= 75
Qi= 257
10
11.02667173
1300.284794
1300
1058
1
89.98455339 7.441864252
669.6528312
670
1061
1
94.36680582 9.547035259
900.9232224
901
1062
1
100.1214516 6.762799128
677.1012659
677
1064
1
93.43638137 10.15782689
1060.771828
1061
1191
1
110.6702828 8.275097823
915.8074162
916
1210
1
103.2485104 10.06955133
1039.666176
1040
1219
1
103.5080291 8.46184437
875.8688331
876
1220
1
98.49644041 11.00934813
964.3912995
964
899
2
96.63774588 6.824190021
659.474341
659
901
1
98.05424977 10.55070814
1034.541771
1035
909
1
100.032702 10.5321408
1053.558503
1054
916
1
93.50279722 9.54985924
932.3462318
932
834
1
99.37587631 10.59822469
1053.207866
1053
847
1
98.33313495 10.7605081
1058.114495
1058
855
1
91.53503722 11.33608864
1037.649296
1038
861
1
96.76941798 12.50865469
834.3204155
834
805
1
105.7479497 9.985693648
1055.966629
1056
806
1
99.91604227 8.810342277
880.2945313
880
829
1
108.1487997 9.444999048
1021.46531
1021
831
1
97.72895194 9.540123099
1342.509009
1343
734
1
96.87706804 10.18101218
986.30661
986
764
1
98.75860794 12.34815616
1219.486713
1219
799
1
101.2390274 7.926070137
802.4276315
802
802
1
98.48803327 8.471287199
1
100.5359425 10.32338676
1037.871417
1038
560
1
90.82583599 9.41855549
855.4481762
855
659
1
90.99550223 10.2260731
930.5266574
931
670
1
107.259132 8.640871581
926.8123852
1084.381602
1084
1288
1
98.05548327 8.473745109
830.8971718
831
1300
1
105.7008037 7.624499883
805.9157658
806
1327
1
102.9227181 10.08547431
1038.024429
1038
1332
1
97.83152589 13.56449164
892.938552
893
927
1
99.31221737 11.99361693
1191.112692
1191
931
1
101.3390718 11.73223725
1188.934033
1189
932
1
95.98213662 8.638750185
829.1657005
829
935
1
100.3604271 7.312829692
927
677
1
93.38533598 13.06127731
1219.73177
1220
681
1
109.7154953 13.19156243
1447.318805
1447
716
1
86.67317413 11.61476237
1006.688321
1007
728
1
108.7106855 12.34937488
733.9187109
734
937
1
99.97265263 5.600737748
559.9206093
560
949
1
98.08762254 10.30092906
1010.393641
1010
958
1
99.03376988 9.842325451
974.7225938
975
964
1
92.60658115 7.352665559
1327.034915
1327
1336
1
97.18147592 10.02471097
974.2162078
974
1343
1
104.1308795 8.979342308
935.0268115
935
1353
1
99.16207116 12.98923624
1288.039568
1288
1354
1
102.3651694 10.21483629
764.4598162
764
1041
1
102.4904011 9.568512976
980.6807331
981
1046
1
93.13191665 11.26240138
1048.889027
1049
1048
1
106.9991302 12.48596734
1335.987645
1336
1049
1
101.0986923 11.02641479
680.9052198
681
974
1
103.5887183 11.04338142
1143.969727
1144
975
1
101.4923558 9.235542418
937.3369567
937
981
1
96.60988124 11.40869815
1102.192974
1102
986
1
97.03862841 10.56120371
9.953970473
10.31699983
10.80198788
10.99379577
10.22428594
10.07845301
11.6248714
8.106950443 8.717978542 10.04871026 8.914265689
10.947839 8.545977178 8.111525201 10.51871211 10.67937208 11.24597136 10.30407591 9.491848257 9.14484988
1041.312163
1041
1021
1
97.93402594 10.5728316
1035.439964
1035
1025
1
96.96261739 9.378856046
909.3984303
909
1031
1
103.1238585 10.01950866
1033.250393
1033
1033
1
102.3887253 10.07261406
10.138715 9.329465936 10.67532937 9.399775561
订货提前期Tk
10.74654804 11.7739269
12.06771415
13.20925506
12.53293206
14.10348844
12.74802301
12.54102202
11.2783296 13.36646122 11.74896355 13.21918674 10.73647766 12.47166623 9.994023033 10.58521733 14.17505658 11.00955117 13.50830147 10.24606675 10.93693484 9.058976078 11.96442511 11.59900151 10.93270342
949.1105872
949
1084
1
95.39281816 5.386096998
513.7949716
514
1102
2
105.8083629 12.96744474
1372.064099
13Baidu Nhomakorabea2
1104
1
90.68641046 8.876533027
804.9809175
805
1115
1
89.04440872 11.63498044
1352.562352
1353
1159
1
98.02781758 11.56025408
1133.226478
1133
1172
1
98.33677293 9.14687578
899.4742466
899
1177
1
105.1424422 8.550820237
899.0541226
899
1189
1
104.6962214 10.13190174
1045.643447
1046
1365
1
110.0354555 4.944228092
544.0403902
544
1372
1
106.0462185 12.76383616
1353.556558
1354
1383
1
100.1562739 8.598550519
861.1987812
861
1447
1
105.2051632 11.18856406
保管费C1
销售速率R
10
100
经济订货批量 Q*
141.4213562
2.定期订货法 （N=100）
（1）确定经济订 购周期
公式为
T*=
√（2C0/ （C1*R））
订货费C0
保管费C1
销售速率R
经济订货周期 T
销售速率R
10000
由数据可知，当库 存服务水平达到 96%时， 最高库存量为262 件。
1159.339879
1159
110.618669 8.661039626
958.0726753
958
102.1437074 10.80776317
1103.944999
1104
由数据可知，当库 存服务水平要求达 到90%时，订货点 为1300件。 求经济订购批量：
公式为
订货费C0
1000
Q*= √（2C0*R/C1）
1177.094708
1177
105.4674501 10.06495839
1061.525497
1062
96.11852672 7.577056092
728.2954685
728
91.98537353 12.4658857
1146.679152
1147
93.71068498 12.37148015
1.定量订货法 （N=100）
销售速率R
订货提前期Tk 提前期需求量DL
需求量DL（整 数）
需求量DL（整 数，剔除重 复项）
不同需求量的个 数
92.14699073 9.19655238
847.434627
847
514
1
99.44751607 11.08090489
1101.968468
1102
544