Classification Of Critical Equipment 6 Examination Of The Critical Equipment 7 Investigation Of The Critical Equipment 8 Machines

Contents
INTRODUCTION...................................................................................................... 2
EXAMINATION........................................................................................................ 2
Classification Of Equipment...................................................................................6
Examination of the critical equipment...................................................................7

INTRODUCTION
Analysis of this particular assignment has been done on the basis of the
downtime of eight machinery. There is a major downtime of machinery over a
period of two years. The breakdown of the machinery has been occurred due to
electrical breakdown, mechanical breakdown and operation break down. Each
machine has their own downtime due to failure involved and the same has been
presented in the form of graph and chart in the analysis.
EXAMINATION
Below is the machinery which have been examined for analysis:
1. APM
2. APS
3. ASM;
4. ECSM;
5. HLW 1 &2;
6. N Crane;
7. S Crane;
8. WCSM
The above machinery downtime analysis has been done from the last month
of the year 2016 till February month of the year 2019.The same has been
presented in the form of excel chart which has been depicted here in below:
Sum of
Duration
(Hours)
Colu
mn
Label
s
Row
Labels APM APS ASM
ECS
M
HLW
1 & 2
N
Cran
e
S
Cran
e
WCS
M
Gran
d
Total
2016
Dec
14.123
33333
14.11
3333
33
14.79
2222
22
13.09
3888
89
11.39
1666
67
10.55
9722
22 10.42
13.25
6111
11
101.7
5027
78
2017
Jan
524.70
08333
445.3
0555
56
486.4
7666
67
447.7
3833
33
450.7
9777
78
435.5
9083
33
491.7
5666
67
493.4
5194
44
3775.
8186
11
Feb
466.64
88889
391.4
2638
89
470.6
8777
78
420.4
5166
67
419.3
6805
56
409.0
8444
44
452.7
95
448.6
0555
56
3479.
0677
78
Mar
495.57
97222
428.2
1861
11
473.3
6722
22
459.7
1861
11
432.2
6972
22
425.7
2138
89
448.0
35
448.1
5722
22
3611.
0675
Apr
495.66
11111
433.4
8666
67
433.5
5055
56
417.3
6111
11
413.0
65
406.1
7277
78
431.5
2972
22
427.3
7833
33
3458.
2052
78

May
505.37
75
388.1
625
469.0
6555
56
455.9
7055
56
459.8
2833
33
448.2
3055
56
454.2
825
459.8
0333
33
3640.
7208
33
Jun
493.67
38889
426.3
825
447.1
3444
44
442.6
7611
11
409.9
2861
11
437.8
6666
67
479.4
8111
11
445.1
6305
56
3582.
3063
89
Jul
566.70
11111
482.5
0583
33
496.2
5805
56
476.2
6888
89
488.3
5138
89
504.6
1388
89
523.9
9444
44
496.7
2944
44
4035.
4230
56
Aug
497.23
27778
426.5
4111
11
474.0
6166
67
444.0
4361
11
422.1
6666
67
439.4
4333
33
464.9
4222
22
460.3
225
3628.
7538
89
Sep
494.07
27778
464.5
7222
22
512.1
1333
33
555.0
8111
11
442.3
6805
56
480.7
2
518.6
3861
11
463.9
2277
78
3931.
4888
89
Oct
499.55
61111
430.3
9388
89
458.1
0638
89
463.6
35
439.5
3083
33
482.2
8694
44
458.9
6611
11
503.5
4194
44
3736.
0172
22
Nov
465.54
16667
397.7
3916
67
466.4
4694
44
453.4
9666
67
476.7
4388
89
439.9
3277
78
427.9
0583
33
457.0
4777
78
3584.
8547
22
Dec
1018.1
65556
921.3
9333
33
971.2
0805
56
907.1
2055
56
937.1
8111
11
912.9
6722
22
958.3
2777
78
963.7
4555
56
7590.
1091
67
2018
Jan
509.61
36111
443.7
1777
78
516.1
4638
89
482.3
1
460.7
075
460.8
3555
56
570.2
8888
89
514.2
8277
78
3957.
9025
Feb
461.97
13889
424.9
4166
67
459.8
35
429.8
9111
11
428.6
5916
67
428.4
1472
22
475.3
9027
78
435.6
3166
67
3544.
735
Mar
580.80
61111
550.3
4833
33
583.5
7583
33
578.1
4222
22
539.5
1888
89
545.3
0888
89
610.5
4555
56
551.1
1944
44
4539.
3652
78
Apr
633.94
52778
598.9
4527
78
832.1
8666
67
654.1
475
614.1
5805
56
560.0
6305
56
643.6
2944
44
708.1
2861
11
5245.
2038
89
May
525.96
16667
490.7
4083
33
499.3
6166
67
504.2
3277
78
500.4
5861
11
493.9
0222
22
538.5
0833
33
380.5
2666
67
3933.
6927
78
Jun
475.40
22222
404.3
0472
22
471.9
3527
78
436.0
9305
56
423.4
6166
67
418.9
8194
44
464.7
4527
78
444.6
0416
67
3539.
5283
33
Jul
452.90
5
576.9
6222
22
593.6
125
433.9
7444
44
412.1
0805
56
409.8
8555
56
434.1
6722
22
427.6
1055
56
3741.
2255
56
Aug
438.02
83333
421.4
5472
22
434.8
2916
67
414.1
4111
11
424.5
5027
78
401.2
2611
11
404.5
825
439.4
5722
22
3378.
2694
44
Sep
442.52
13889
407.1
9916
67
446.3
6333
33
404.9
2472
22
410.5
9611
11
394.3
4361
11
414.1
8194
44
420.2
2555
56
3340.
3558
33
Oct
507.01
88889
419.5
5111
11
465.6
575
428.7
1444
44
462.8
6277
78
449.4
2583
33
442.1
0527
78
458.5
9305
56
3633.
9288
89
Nov
463.44
75
395.3
95
463.3
3305
56
277.7
45
413.0
9722
22
422.2
4666
67
443.1
6777
78
440.4
8611
11
3318.
9183
33
2019

Jan
25.003
33333
10.35
5833
33
9.067
7777
78
7.329
7222
22
16.15
0833
33
4.841
1111
11
3.171
6666
67
22.22
9444
44
98.14
9722
22
Feb 6.95
8.884
7222
22
9.506
3888
89
39.28
8333
33
12.33
3055
56
5.185
5555
56
7.311
1111
11
16.24
2222
22
105.7
0138
89
Grand
Total
12060
.61
1080
3.04
25
1195
8.67
944
1104
7.59
056
1092
1.65
333
1082
7.85
139
1157
2.87
028
1134
0.26
306
9053
2.56
056
The presentation of the above chart has been depicted in the form of graph here
in below:
Qtr4 Qtr1 Qtr2 Qtr3 Qtr4 Qtr1 Qtr2 Qtr3 Qtr4 Qtr1
2016 2017 2018 2019
500
700
900
1100
1300
1500
1700
1900
2100
APM
APS
ASM
ECSM
HLW 1 & 2
N Crane
S Crane
WCSM
On the basis of above graph and excel charts it can be analysed that downtime
of all the eight machinery is significantly falling over a period of time. From the
December of the year 2016 till February month of the year 2019 it can be seen
from the graph presented above in the form of bar chart. The maximum
downtime of the eight machine was in the December month of the year 2017
and has started falling from the January month of the year 2018 and has rapidly
declined at the end of the February month of the year 2019.The maximum
downtime was seen in the December month of the year 2017 and the least was
in the February month of the year 2019.