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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4247
Improvement of Availability and Maintainability through Actions
Based on Root Cause Analysis of Failures: A Case Study of a Critical
Machine
Vikash kumar sah1, Dr. Pradeep kumar soni2
1M.Tech Scholar, Department of Mechanical Engineering, M.A.N.I.T. Bhopal (M.P.), India-462003
2Assistant Professor, Department of Mechanical Engineering, M.A.N.I.T. Bhopal (M.P.), India-462003
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Availabilityandmaintainabilityofmachinescanbe
increased by reducing the downtime or breakdowns of the
machines. Main objective is to improve the machine
performance by finding out the major breakdowns causing
production losses to the company andarriving&executing the
counter measures by which these problems can be reduced.
Availability and breakdown reduction methodology are
adopted to improve the machine performance. Root cause
analysis is conducted to find the root causeofbreakdowns and
some parallel improvement opportunities were also identified
for implementation so as to reduce the downtime. The project
thus aims to minimize downtime, maximize availability,
minimize maintenance cost and maximize profit. The project
work concludes that this will help the maintenance
department to increase equipment availability. Data was
collected from Steel Plant breakdown details of Housing less
mill stand machine and Slitting machine i.e. thedataissuchas
breakdown hours, breakdown occurrence, MTBF & MTTR 4
months before overhauling was done for corrective counter
measures of machine. Then after corrective counter measures
were done by Breakdown reduction methodology and
operation parameter was collected from 4 months after
implementation of corrective counter measures for each
method. From this data performance parameters were
calculated and compared with each other. After calculation it
was found that Availability and MTBF of Housing less mill
stand & Slitting machine is increasedorMTTRisdeceased. The
Effectiveness of corrective counter measures of Housing less
mill stand & Slitting Machine is improved.
Key Words: Availability, Maintainability, root cause
analysis downtime, MTTF, MTTR.
1. INTRODUCTION
Equipment breakdown has always contributed towards
machine downtime. Industrial Engineers have always tried
to reduce downtime and increase the availability of
machineries.
Availability- It is the probability that the system will
perform available time atoperatingconditionatonlyinstant.
Availability is the total time of utilization of a machine.
Availability is the ratio of the difference between the total
available hours and total breakdown hours to the total
available hours.
Total available hours- Total breakdown
hours
Availability =
Total available hours
Maintainability- It is probability that a failure system will
be restored at operating condition
Maintainability is defined as the probability of performinga
successful repair action within a given time.
MTBF (mean time between failures) - Meantimebetween
failure is a concern the average time elapsed between a
failure and the next time it occurred.
Total available time – total breakdown hours
MTBF =
Total available time
MTTR (mean time to repairs)- Mean time to
repair is the time to run after the occurrence of
the failures.
Total breakdown hours
MTTR =
No of breakdown
Root cause analysis through why- why analysis -It is
method of problem solving used for identifying the root
cause of faults or problem. A factor is considered a root
cause analysis if removal there from the problem fault
prevents the final undesirable event from recurring.
1.1 Advantages of availability & maintainability
 To reduce emergencies and optimize costs.
 To reduce life cycle costs.
 To improve customer service.
 Increase efficiency of equipment.
 To maintain plant and equipment.
 Reduce downtime and increase uptime of machine.
 To ensure safety of plant.
 High efficiency in plant.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4248
 Improve the useful life of production equipment.
 Improve system reliability.
 Decrease cost of replacement.
 Decreases system downtime.
 Reduce injury.
2. Work of methodology
The initial data collection of the breakdown details of the
machine i.e. the data’s such as breakdownhours,breakdown
occurrence, MTTR, MTBF are collected & studied.
• Selecting the critical machine “Slitting machine”
for the analysis.
• Studying the type of failures occurred & frequently
repeating failures.
• Following the breakdown reduction methodology.
• Performing root cause analysis to reduce the
recurrence of failures.
• Performing “WHY-WHY” analysis.
• Replace the defective parts of the machine.
• Implementing the corrective steps.
• Monitoring and verifying the results.
2. Implementation and root cause analysis
2.1 Break down Description – “Slittingmachine”isnot
working
Root cause – Some fire cracks present in the reel
Physical phenomenon – Slitter reel pointbreak Root
Cause from Why-Why Analysis.
Corrective counter measure
• Proper cooling must be provided on down sidereel.
• Time to time greasing
• Connection of water regular of blade
• Provide water pressure should be high upside &
downside.
• Check to stuck size of metal per hour by fitter.
• Inspection of hardness of metal by operator (50
HRC- 53HRC)
Fig -1 Slitter Guide box
Benefits– After provided cooling and proper adjustment of
slitter box on rest bar nowworkinghencetheslittermachine
problem is eliminated & Slitter machine operation is further
preceded.
 RESULTS AND DISCUSSION
 Process Parameters of Slitting Machine before
the Implementation of Counter Measures.
 Total downtime of Slitting machine in the period
Oct-2015 to feb-2016 = 146 hours.
 Total available time for Slitting machine in the
period Oct-2015 to feb-2016 = 2860 hours.
 (22hours×26 Days, 26Days×5Months =
572×5=2860) Excluding Sundays, holidays,&lunch
time.
 3. Total number of breakdowns in the period Oct-
2015to Jan-2016= 46
Total available hours- Total
breakdown hours
 Availability= Total available hours
 Availability = 2860-146 = 0.9489
 2860
 Availability = 94.89%
 Loss of availability = 1- 0.9489 = 0.0511
 = 5.11%
 total available hours – breakdownhours
 MTBF =
no. of breakdown
 = 2860-146 = 59 hours
 46
 = 59.00 hours.
Problem Slitter reel point break
Why? Some fire cracks present in reel
initially.
Why? Not proper adjustment of slitter
box on rest bar stand.
Why? Due to oversize material.
Why? Cooling provided on Time Based
Maintenance
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4249
 total breakdown hours
 MTTR =
 no. of breakdowns
 = 146 = 3.17
 46
 = 3.17 hours
 Process Parameters of SlittingMachine afterthe
Implementation of Counter Measures
 Total downtime of Slitting machine in the period
march-2016 to june-2016 = 52 hours
 Total available time for Slitting machine in the
period march-2016 to june-2016 = 2288 hours
 (22hours×26Days,26Days×3Months=572×4=Exclud
ing Sundays, holidays, & lunch time.
 Total number of breakdowns in the period march-
2016 to june-2016= 27
Total available hours- Total
breakdown hours
 Availability =
Total available hours
 Availability = 2288-52 = 0.9772
2288
= 97.72 %
 Loss of availability = 1- 0.9772 = 0.0227
= 2.27%
total available hours – breakdown hours
 MTBF =
no. of breakdown
= 2288-52 = 82.81 hours
27
= 82.81 hours.
total breakdown hours
 MTTR =
no. of breakdowns
= 52 = 1.925
27
 Comparison of results before and after
implementation of counter measures ofSlitting
machine.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4250
CONCLUSIONS
The process measurable such as Availability, MTBF, and
MTTR are calculated before and after the implementation of
counter measures.
 The Breakdowns such as slitter reel point and
due to some fire cracks damage on bearing and
bearing pin is completely eliminated.
 The availability of Slitting Machine is increased
from 94.89% to 97.72%.
 The MTBF of Slitting Machine is increased
from 59.00 hours to 82.81 hours.
 The MTTR of Slitting Machine is decreased
from 3.17 hours to 1.93 hours.
 The Effectiveness of corrective counter
measures of Slitting Machine is improved.
REFERENCES
[1] yuo-tern et.al (2001) optimization PM for mechanical
components using genetic algorithms, International
Journal of Modern Engineering Research (IJMER) 2001.
[2] paul laks et.al,(2017), Identification of optimal
preventive maintenance decisions for composite
components, International Journal of Innovative
Research in Science, Engineering and Technology
Volume 3, Special Issue 3, March 2017
[3] Sandria vilarino, 2Muhammed Rifat Hossain , 3Md.
Asrafuzzaman (2017), Preventive maintenance
decisions through maintenance optimization models.
Journal of Science and Technology 2017
[4] Nani kurniati, R., & Ward, P.T. (2016). PREVENTIVE
MAINTENANCE STRATEGIES. Journal of Operations
Management, 25, 785-805.
[5] jianshe kang, Mushtaq Patel, Dr. Vivek Bansod , An
Enhanced Preventive Maintenance Optimization Model
Based on a Three-Stage Failure Process. IJRAME
[6] jiao yuting1, Gajendran2 (2014), Preventive
Maintenance Strategy Optimization BasedonReliability
Threshold, IOSR Journal of Mechanical and Civil
Engineering (IOSR-JMCE), 2014
[7] Ravi sankar, Wong, K.Y., & Ali, A. (2015).Optimizationof
Preventive Maintenance .European Journal of Scientific
Research, 38(4), 521-535
[8] 8]Erwin widodo, F.E. Ciarapica, G. Giacchetta, 2013.
Preventive maintenance optimization strategies for
industries, Journal of Purchasing & Supply Management
Vol.12 14–27
[9] Emil gustavssan, Xiaowei Xu and Prasanta K. Dey.,2014.
Preventive maintenanceschedulingofmulti-component
systems with interval costs: A literature review.
European Journal of Operational Research 202, pp 16–
24
[10] 10]Marco macchi., Ramiya R.A., Gautham S.G., 2017.
Orchestration of preventive maintenanceinterventions.
Expert Systems with Applications 38 (1), 272–280.

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IRJET- Improvement of Availability and Maintainability through Actions based on Root Cause Analysis of Failures: A Case Study of a Critical Machine

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4247 Improvement of Availability and Maintainability through Actions Based on Root Cause Analysis of Failures: A Case Study of a Critical Machine Vikash kumar sah1, Dr. Pradeep kumar soni2 1M.Tech Scholar, Department of Mechanical Engineering, M.A.N.I.T. Bhopal (M.P.), India-462003 2Assistant Professor, Department of Mechanical Engineering, M.A.N.I.T. Bhopal (M.P.), India-462003 ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Availabilityandmaintainabilityofmachinescanbe increased by reducing the downtime or breakdowns of the machines. Main objective is to improve the machine performance by finding out the major breakdowns causing production losses to the company andarriving&executing the counter measures by which these problems can be reduced. Availability and breakdown reduction methodology are adopted to improve the machine performance. Root cause analysis is conducted to find the root causeofbreakdowns and some parallel improvement opportunities were also identified for implementation so as to reduce the downtime. The project thus aims to minimize downtime, maximize availability, minimize maintenance cost and maximize profit. The project work concludes that this will help the maintenance department to increase equipment availability. Data was collected from Steel Plant breakdown details of Housing less mill stand machine and Slitting machine i.e. thedataissuchas breakdown hours, breakdown occurrence, MTBF & MTTR 4 months before overhauling was done for corrective counter measures of machine. Then after corrective counter measures were done by Breakdown reduction methodology and operation parameter was collected from 4 months after implementation of corrective counter measures for each method. From this data performance parameters were calculated and compared with each other. After calculation it was found that Availability and MTBF of Housing less mill stand & Slitting machine is increasedorMTTRisdeceased. The Effectiveness of corrective counter measures of Housing less mill stand & Slitting Machine is improved. Key Words: Availability, Maintainability, root cause analysis downtime, MTTF, MTTR. 1. INTRODUCTION Equipment breakdown has always contributed towards machine downtime. Industrial Engineers have always tried to reduce downtime and increase the availability of machineries. Availability- It is the probability that the system will perform available time atoperatingconditionatonlyinstant. Availability is the total time of utilization of a machine. Availability is the ratio of the difference between the total available hours and total breakdown hours to the total available hours. Total available hours- Total breakdown hours Availability = Total available hours Maintainability- It is probability that a failure system will be restored at operating condition Maintainability is defined as the probability of performinga successful repair action within a given time. MTBF (mean time between failures) - Meantimebetween failure is a concern the average time elapsed between a failure and the next time it occurred. Total available time – total breakdown hours MTBF = Total available time MTTR (mean time to repairs)- Mean time to repair is the time to run after the occurrence of the failures. Total breakdown hours MTTR = No of breakdown Root cause analysis through why- why analysis -It is method of problem solving used for identifying the root cause of faults or problem. A factor is considered a root cause analysis if removal there from the problem fault prevents the final undesirable event from recurring. 1.1 Advantages of availability & maintainability  To reduce emergencies and optimize costs.  To reduce life cycle costs.  To improve customer service.  Increase efficiency of equipment.  To maintain plant and equipment.  Reduce downtime and increase uptime of machine.  To ensure safety of plant.  High efficiency in plant.
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4248  Improve the useful life of production equipment.  Improve system reliability.  Decrease cost of replacement.  Decreases system downtime.  Reduce injury. 2. Work of methodology The initial data collection of the breakdown details of the machine i.e. the data’s such as breakdownhours,breakdown occurrence, MTTR, MTBF are collected & studied. • Selecting the critical machine “Slitting machine” for the analysis. • Studying the type of failures occurred & frequently repeating failures. • Following the breakdown reduction methodology. • Performing root cause analysis to reduce the recurrence of failures. • Performing “WHY-WHY” analysis. • Replace the defective parts of the machine. • Implementing the corrective steps. • Monitoring and verifying the results. 2. Implementation and root cause analysis 2.1 Break down Description – “Slittingmachine”isnot working Root cause – Some fire cracks present in the reel Physical phenomenon – Slitter reel pointbreak Root Cause from Why-Why Analysis. Corrective counter measure • Proper cooling must be provided on down sidereel. • Time to time greasing • Connection of water regular of blade • Provide water pressure should be high upside & downside. • Check to stuck size of metal per hour by fitter. • Inspection of hardness of metal by operator (50 HRC- 53HRC) Fig -1 Slitter Guide box Benefits– After provided cooling and proper adjustment of slitter box on rest bar nowworkinghencetheslittermachine problem is eliminated & Slitter machine operation is further preceded.  RESULTS AND DISCUSSION  Process Parameters of Slitting Machine before the Implementation of Counter Measures.  Total downtime of Slitting machine in the period Oct-2015 to feb-2016 = 146 hours.  Total available time for Slitting machine in the period Oct-2015 to feb-2016 = 2860 hours.  (22hours×26 Days, 26Days×5Months = 572×5=2860) Excluding Sundays, holidays,&lunch time.  3. Total number of breakdowns in the period Oct- 2015to Jan-2016= 46 Total available hours- Total breakdown hours  Availability= Total available hours  Availability = 2860-146 = 0.9489  2860  Availability = 94.89%  Loss of availability = 1- 0.9489 = 0.0511  = 5.11%  total available hours – breakdownhours  MTBF = no. of breakdown  = 2860-146 = 59 hours  46  = 59.00 hours. Problem Slitter reel point break Why? Some fire cracks present in reel initially. Why? Not proper adjustment of slitter box on rest bar stand. Why? Due to oversize material. Why? Cooling provided on Time Based Maintenance
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4249  total breakdown hours  MTTR =  no. of breakdowns  = 146 = 3.17  46  = 3.17 hours  Process Parameters of SlittingMachine afterthe Implementation of Counter Measures  Total downtime of Slitting machine in the period march-2016 to june-2016 = 52 hours  Total available time for Slitting machine in the period march-2016 to june-2016 = 2288 hours  (22hours×26Days,26Days×3Months=572×4=Exclud ing Sundays, holidays, & lunch time.  Total number of breakdowns in the period march- 2016 to june-2016= 27 Total available hours- Total breakdown hours  Availability = Total available hours  Availability = 2288-52 = 0.9772 2288 = 97.72 %  Loss of availability = 1- 0.9772 = 0.0227 = 2.27% total available hours – breakdown hours  MTBF = no. of breakdown = 2288-52 = 82.81 hours 27 = 82.81 hours. total breakdown hours  MTTR = no. of breakdowns = 52 = 1.925 27  Comparison of results before and after implementation of counter measures ofSlitting machine.
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4250 CONCLUSIONS The process measurable such as Availability, MTBF, and MTTR are calculated before and after the implementation of counter measures.  The Breakdowns such as slitter reel point and due to some fire cracks damage on bearing and bearing pin is completely eliminated.  The availability of Slitting Machine is increased from 94.89% to 97.72%.  The MTBF of Slitting Machine is increased from 59.00 hours to 82.81 hours.  The MTTR of Slitting Machine is decreased from 3.17 hours to 1.93 hours.  The Effectiveness of corrective counter measures of Slitting Machine is improved. REFERENCES [1] yuo-tern et.al (2001) optimization PM for mechanical components using genetic algorithms, International Journal of Modern Engineering Research (IJMER) 2001. [2] paul laks et.al,(2017), Identification of optimal preventive maintenance decisions for composite components, International Journal of Innovative Research in Science, Engineering and Technology Volume 3, Special Issue 3, March 2017 [3] Sandria vilarino, 2Muhammed Rifat Hossain , 3Md. Asrafuzzaman (2017), Preventive maintenance decisions through maintenance optimization models. Journal of Science and Technology 2017 [4] Nani kurniati, R., & Ward, P.T. (2016). PREVENTIVE MAINTENANCE STRATEGIES. Journal of Operations Management, 25, 785-805. [5] jianshe kang, Mushtaq Patel, Dr. Vivek Bansod , An Enhanced Preventive Maintenance Optimization Model Based on a Three-Stage Failure Process. IJRAME [6] jiao yuting1, Gajendran2 (2014), Preventive Maintenance Strategy Optimization BasedonReliability Threshold, IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE), 2014 [7] Ravi sankar, Wong, K.Y., & Ali, A. (2015).Optimizationof Preventive Maintenance .European Journal of Scientific Research, 38(4), 521-535 [8] 8]Erwin widodo, F.E. Ciarapica, G. Giacchetta, 2013. Preventive maintenance optimization strategies for industries, Journal of Purchasing & Supply Management Vol.12 14–27 [9] Emil gustavssan, Xiaowei Xu and Prasanta K. Dey.,2014. Preventive maintenanceschedulingofmulti-component systems with interval costs: A literature review. European Journal of Operational Research 202, pp 16– 24 [10] 10]Marco macchi., Ramiya R.A., Gautham S.G., 2017. Orchestration of preventive maintenanceinterventions. Expert Systems with Applications 38 (1), 272–280.