A milling department has 10 machines. Each operates an average of eight hours before requiring adjustment, which takes an average of 3.43 hours. While running, each machine can produce 50 pieces an hour. Use Table 1, Table 2 and Table 3. a. With one adjuster, what is the net average hourly output per machine? (Round your answer to 1 decimal place.) Number of Pieces ?? per machine b. If machine downtime cost is $75 per hour and adjuster cost is $31 per hour, how many adjusters would be optimal? Multiple Choice 1 2 3 4 5
A milling department has 10 machines. Each operates an average of eight hours before requiring adjustment, which takes an average of 3.43 hours. While running, each machine can produce 50 pieces an hour. Use Table 1, Table 2 and Table 3. a. With one adjuster, what is the net average hourly output per machine? (Round your answer to 1 decimal place.) Number of Pieces ?? per machine b. If machine downtime cost is $75 per hour and adjuster cost is $31 per hour, how many adjusters would be optimal? Multiple Choice 1 2 3 4 5
Chapter1: Taking Risks And Making Profits Within The Dynamic Business Environment
Section: Chapter Questions
Problem 1CE
Related questions
Question
A milling department has 10 machines. Each operates an average of eight hours before requiring adjustment, which takes an average of 3.43 hours. While running, each machine can produce 50 pieces an hour. Use Table 1, Table 2 and Table 3. a. With one adjuster, what is the net average hourly output per machine? (Round your answer to 1 decimal place.) Number of Pieces ?? per machine b. If machine downtime cost is $75 per hour and adjuster cost is $31 per hour, how many adjusters would be optimal? Multiple Choice 1 2 3 4 5
|
![FX MD FX M DFX MDF
TABLE 18.7
Save
Finite-queuing tables
Population 5
125 2
082 994
260 3
058 994 440 3
238 60
012
080 999
575 920
303 950
652 807
019
095 998
130 2
089 933
903 895
992 451
.025
125 997
1
594 914
270 3
064 994
A60
045 995
030
.149 996
135
2
095 933
2.
323 944
266 953
034
169 995
1
612 907
915 677
2.
686 787
.036
1
179 994 .140
.102
992
280
071 993
1.
994 432
.040
199 993
1
630
900
342 938 A80
053 994
042
1
208 992
145
011
99
925 661
3
296 945
.044
218 991
.109
991
290
007 999
2.
719 767
892
999
046
1
228 990
1
847
3
079 992
996 415
.050
247 389 .150
012
362 32 s00
063 982
052
1
257 988
2
115
990
1
S34 844
327 06
.054
1
266 987
664
885 300
4
008 999
2.
750 748
056
2
018 999 155
013
999
006 990
997 399
276 385
2
123
S89
2.
382 926 520
4.
073 991
058
2
019 999
880
877
942 828
359 927
285 384
160
015 999 310
4.
009 999
779 728
060
2
020 309
2
.130
988
094 99
998 34
295 983
895 869
402 919
540
085 99
.062
022 999 185
016
999
950 613
3
32 917
304 982
137
987 320
4
010 999
806 708
064
023 999
1
710
861
.103 988
998 370
999
422 912 560
956
314 981
.170
017
098 988
066
2
024 999
2
.145
985
597
A26 906
323 379
1
725
853
300
4
012 999
2
831 sa9
.068
026 999 .180
021
999
112 386
99 357
333 978
.161
983
2
442 904 580
4.
113 984
836
998 340
070
027
399
1
752
1
S62 583
3
A61 5
342 977 .190
031 999
365 373
1
024
4
013 999
B54 870
.075
117
980
.121 s85
99 345
1
778
819
2
462 896
B00
130 981
O35 998 200
388 969
.080
028
998
967 569
A97 883
.194
976 360
4
017 998
875 852
085
040 300
1
801
032
801
141 901
1
410 965 210
501 880 850
3
998
4.
.179 972
.090 2
044 998
.211
973
1
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588 850
432 960
1
822
783
380
021 998
918 806
163 976
999 308
240 80
095
2
049 997
220
006
997
454 955
229
969
540 363 700
100
O54 397
1
842
765
S81 516
3
678 815
475 350
230
041
997
400
026 997
950 S68
105
2
0s9 997
2
247
965
3
.188 972
1
999 208
1
496 945
1
360
747
579 845 750
316 944
.110
2
085 996
240
046
996
S6 493
763 777
.516 339
265
960
420
031 997
972 532
017 995
966 800
616 826
115
876
730
3
211
410 924
537 333 250
052
995
341 739
120
2
076 995
2
284
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989 471
2
987 500
556
927
1
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712
440
4.
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Transcribed Image Text:FX MD FX M DFX MDF
TABLE 18.7
Save
Finite-queuing tables
Population 5
125 2
082 994
260 3
058 994 440 3
238 60
012
080 999
575 920
303 950
652 807
019
095 998
130 2
089 933
903 895
992 451
.025
125 997
1
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270 3
064 994
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045 995
030
.149 996
135
2
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2.
323 944
266 953
034
169 995
1
612 907
915 677
2.
686 787
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1
179 994 .140
.102
992
280
071 993
1.
994 432
.040
199 993
1
630
900
342 938 A80
053 994
042
1
208 992
145
011
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3
296 945
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218 991
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991
290
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2.
719 767
892
999
046
1
228 990
1
847
3
079 992
996 415
.050
247 389 .150
012
362 32 s00
063 982
052
1
257 988
2
115
990
1
S34 844
327 06
.054
1
266 987
664
885 300
4
008 999
2.
750 748
056
2
018 999 155
013
999
006 990
997 399
276 385
2
123
S89
2.
382 926 520
4.
073 991
058
2
019 999
880
877
942 828
359 927
285 384
160
015 999 310
4.
009 999
779 728
060
2
020 309
2
.130
988
094 99
998 34
295 983
895 869
402 919
540
085 99
.062
022 999 185
016
999
950 613
3
32 917
304 982
137
987 320
4
010 999
806 708
064
023 999
1
710
861
.103 988
998 370
999
422 912 560
956
314 981
.170
017
098 988
066
2
024 999
2
.145
985
597
A26 906
323 379
1
725
853
300
4
012 999
2
831 sa9
.068
026 999 .180
021
999
112 386
99 357
333 978
.161
983
2
442 904 580
4.
113 984
836
998 340
070
027
399
1
752
1
S62 583
3
A61 5
342 977 .190
031 999
365 373
1
024
4
013 999
B54 870
.075
117
980
.121 s85
99 345
1
778
819
2
462 896
B00
130 981
O35 998 200
388 969
.080
028
998
967 569
A97 883
.194
976 360
4
017 998
875 852
085
040 300
1
801
032
801
141 901
1
410 965 210
501 880 850
3
998
4.
.179 972
.090 2
044 998
.211
973
1
975 542
588 850
432 960
1
822
783
380
021 998
918 806
163 976
999 308
240 80
095
2
049 997
220
006
997
454 955
229
969
540 363 700
100
O54 397
1
842
765
S81 516
3
678 815
475 350
230
041
997
400
026 997
950 S68
105
2
0s9 997
2
247
965
3
.188 972
1
999 208
1
496 945
1
360
747
579 845 750
316 944
.110
2
085 996
240
046
996
S6 493
763 777
.516 339
265
960
420
031 997
972 532
017 995
966 800
616 826
115
876
730
3
211
410 924
537 333 250
052
995
341 739
120
2
076 995
2
284
955
989 471
2
987 500
556
927
1
890
712
440
4.
996
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300
.932 .653 400
6
105 .991
500
3
.972
.598 | .650
7
353 954
.999
333
292 .963
2
.999
400
6
.651 878
310
.031
.998
4
.591 .887
520
8
.026 998
5
.882 .759
.120 990
3
.875 728
.115
.989
4
.980 614
331
.957
.991
499
6
.316
.958
3
.999 461
666
858
420
7
.034 .993
5
.606
884
.700
.040 997
.943 .635
.036 .998
6
.130 987
4
864
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8
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.320
341
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6.
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330
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.160 .984
5
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8
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7
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3
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8
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2
.961
600
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.998 .533
340
7
.010 999
460
8
.011
.999
6
413
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.800
.134 988
6
.049 .997
.058 995
.707
848
8
446 944
5
.168 .983
6
.193 .979
4
.917
706
.763 859
4
416 938
445 .930
3
.991
535
6
.939 747
3
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8
.057
.995
5
.991 .625
.968 .584
3
947
.646
.204
.977
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.999 .500
360
.014
.999
2
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435
6
465 927
850
.232 979
6
.064 995 480
8
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8
.611 916
.205 978
7
.074 994
4
.937
684
.879 818
4
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6.
230
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3
.994
517
6
.978 .705
.798
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.010 999
.998 .588
2
.978
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4
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.072 994 .900
.387 963
380
.019 .999
3
.961
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.972
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785 881
.083 993
2
.998
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6
.518
.915
.957 777
.247
.971
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.020
.999
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.795
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.995 667
4
.533 .906
7
.093 992
4
.953 .663
.950
.630 938
3
.840 .758
6
271
.966
3
.996
500
8
.934 .841
2
.986 .525
.553
.901
.650
9
021
999
7
.994 .737
400
.026 .998
4
.830
.775
8
.123
.988
216 543 26u 4m 265
654](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff3170f2f-ad83-4f06-8fed-267ddf1ba412%2Fd45a651d-7fa0-4c0a-b4c9-245cdf284cf8%2F788o3nr_processed.jpeg&w=3840&q=75)
Transcribed Image Text:X M D F X M D F X M D FX M D F
300
.932 .653 400
6
105 .991
500
3
.972
.598 | .650
7
353 954
.999
333
292 .963
2
.999
400
6
.651 878
310
.031
.998
4
.591 .887
520
8
.026 998
5
.882 .759
.120 990
3
.875 728
.115
.989
4
.980 614
331
.957
.991
499
6
.316
.958
3
.999 461
666
858
420
7
.034 .993
5
.606
884
.700
.040 997
.943 .635
.036 .998
6
.130 987
4
864
.752
8
.200 .979
.320
341
.954
.980
575
7
484 929
.135
.988
4
.646 .866
2
.999
385
772 836
359 952
3
.905 700 540
8.
.034
.997
.940 711
695
.845
2
.994
476
7
.141
.986
4
.992 571
.952 617
440
7
.045 .997
6.
363 949
.750
.075 994
330
.042 997
6
.160 .984
5
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392
.943
4
.893
.729
7
.626 .897
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387 .945
.698 845
3
.986
.555
6.
870 792
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3
.928 672 560
8
.044
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5
.975 666
2
.961
600
.996
454
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4
.998 .533
340
7
.010 999
460
8
.011
.999
6
413
.939
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.134 988
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.049 .997
.058 995
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848
8
446 944
5
.168 .983
6
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4
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4
416 938
445 .930
3
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535
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3
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947
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360
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.999
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6
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850
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6
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8
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8
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4
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2
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4
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6
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9
021
999
7
.994 .737
400
.026 .998
4
.830
.775
8
.123
.988
216 543 26u 4m 265
654
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