Analysis of Downtime for 8 Major Machinery in an Industrial Facility

Overview
The record of downtime for 8 major machinery in an industrial facility for a duration exceeding two
years is recorded on a monthly and quarterly basis for the entire duration. The same has also been
analysed on the basis of Pareto charts for the said downtime events and duration. The ranking of
equipment has been done on the basis of downtime. The machinery with the lowest downtime is given
the rank one and the highest downtime is given the rank eight. On the basis of such ranking the most
critical equipment is identified. The overall idle and downtime of the eight machinery is due to
Electrical breakdown, Mechanical breakdown and Operational breakdown. All the analyses have been
presented in the form of charts, tables and graph so that it is easily understandable and readable.
Downtime for each equipment on monthly basis
The downtime of total eight machinery was major at the start of two years but significantly it degraded
over a period of time. The name of the eight machinery are APM, APS, ASM, ECSM, HLW 1& 2, N
Crane, S Crane and WCSM.
Qtr4 Qtr1 Qtr2 Qtr3 Qtr4 Qtr1 Qtr2 Qtr3 Qtr4 Qtr1
2016 2017 2018 2019
0
500
1000
1500
2000
2500
0
500
1000
1500
2000
2500
APM
APS
ASM
ECSM
HLW 1 & 2
N Crane
S Crane
WCSM
The above graph depicts the maximum downtime of total eight machinery which is very much
significant. The maximum downtime is for the machinery APM which is witnessed in year 2017 in the
month of December. The APS machinery also has witnessed a maximum downtime followed by APS
equipment. The maximum downtime for APS equipment also can be seen in the December month of
the year 2017.In the year 2019 there has been sharp fall in the downtime of machinery. In the month
of February 2019 the machinery APM which has the highest downtime has witnessed a sudden fall in
the ideal time .All the respective eight equipment has seen a decline in the downtime .The downtime
of total machinery involved in the production process was approximately 88014 hrs .The maximum
downtime was in the year 2017 which was about 46563 hours. In the year 2018 the idle time of the
equipment was about 41209 hours. In the year 2019 the idle time was 140 hours. The same has been
prepared and disclosed in the excel as an attachment.

Downtime for each equipment on quarterly basis
Analysis of downtime of each equipment on quarterly basis has been presented in the form of bar
chart. In quarter four of the year 2017 maximum downtime can be seen. Over the period of two year
the maximum downtime involved was in the quarter four of the year 2017.There has been a sudden
surge from the year 2016 to 2017 in the idle time of equipment. The same has been presented in the
form of graph.
Qtr4 Qtr1 Qtr2 Qtr3 Qtr4 Qtr1 Qtr2 Qtr3 Qtr4 Qtr1
2016 2017 2018 2019
0
500
1000
1500
2000
2500
0
500
1000
1500
2000
2500
APM
APS
ASM
ECSM
HLW 1 & 2
N Crane
S Crane
WCSM
The quarter wise calculation of eight machinery has been disclosed in excel. The maximum downtime
was in quarter four of machinery WCSM 1919 hours followed by ASM 1870 hours. In year 2017
quarter four recorded the maximum downtime with a total of 14516 hours. The equipment APS has
the lowest downtime with 1592 hours. The equipment ASM has the downtime with 1870 hours. The
equipment ECSM has the downtime with 1815 hours. The equipment HLW 1& 2 has the downtime
with 1830 hours. The equipment N Crane has the downtime with 1832 hours. The equipment S Crane
has downtime with 1844 hours. All the hourly computation of the equipment has been disclosed in
excel. In year 2019 as compared to 2017 the highest downtime was seen in machinery ECSM with 44
hours and the lowest with 2 hours in case of machinery APS.
PARETO chart for downtime events and durations considering the entire duration
On the basis of pareto chart which depicts the idle and downtime of each machinery. The cumulative
downtime involved was 88014 hours. PS machinery recorded the lowest downtime with 9904 hours
with machinery ASM recorded the highest downtime with 11700 hours. The same has been presented
in the below graph.