Assessing Risk Priority Numbers of Failures in the Screw Tightening Machine of a Hard Disk Drive Production System
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Department of Industrial Engineering, Kasetsart University, Thailand
Department of Advance Manufacturing Engineering (AME), Hard Disk Drive (HDD) Manufacturing Industry, Thailand
Submission date: 2021-11-24
Final revision date: 2021-12-20
Acceptance date: 2021-12-21
Online publication date: 2022-01-28
Publication date: 2022-03-30
Corresponding author
Naraphorn Paoprasert   

Department of Industrial Engineering, Kasetsart University, Thailand
Journal of Machine Engineering 2022;22(1):124-137
In a competitive environment, many production industries must reduce costs while maintaining asset value and reliability. In the manufacturing process, the machine is essential because downtime can inhibit and stop production. This study investigated the breakdown trend of a hard disk drive production line in the manufacturing industry to recommend applying Reliability-Centered Maintenance (RCM) for improved productivity, reliability, and availability. This study focused on breakdown analysis, identifying potential failures, and classifying the main components of screw-tightening machines. The RCM method was used based on several tools: failure mode and effects analysis (FMEA), risk priority number (RPN), mean time between failures (MTBF), and mean time to repair (MTTR). The study identified which production line had the lowest availability and productivity due to high downtime and failure rates. In addition, the top-five failures were identified that severely disrupted production These breakdowns were overcome and their occurrence reduced was by calculating and evaluating MTBF and MTTR to help manage failures and indicate the efficiency of corrective action. Thus, this industry and others can achieve better equipment availability and machine reliability using the RCM method.
BACKLUND F., and AKERSTEN P., 2003, RCM Introduction: Process and Requirements Management Aspects, Journal of Quality in Maintenance Engineering, DOI:10.1108/13552510310493701.
AHASAN-UL-KARIM M., 2015, Application of Reliability Centered Maintenance (RCM) in Lead Oxide Production System a Case Study, Master of Engineering in Advanced Engineering Management Thesis, Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.
MOUBRAY J., 2001, Reliability-centered maintenance, Industrial Press Inc.
YAVUZ O., et al., 2019, Reliability Centered Maintenance Practices in Food Industry, Journal of Procedia Computer Science, 158, 227–234.
GUSAROV V.A., and GUSAROVA E.V., 2020, Improving the Reliability of Steam Engines for Heat and Electricity Supply of Industrial Facilities, Journal of Machinery Manufacture and Reliability, 49/9, 770–775.
TRUKHANOV V., 2008. New Approach to Calculating the Desired Reliability of Complex Systems of Special Movable Facilities, Journal of Machinery Manufacture and Reliability, 37/5, 530–533.
EBRAHIMZADEH M., et al., 2011, Assessment of Potential Hazards by Failure Modes and Effect Analysis (FMEA) Method in Shiraz Oil Refinery, Occupational Medicine Journal, 3/2, 16–23.
WESSIANI N.A. and SARWOKO S.O., 2015, Risk Analysis of Poultry Feed Production Using Fuzzy FMEA, Journal of Procedia Manufacturing, 4, 270–281.
AFEFY I.H., et al., 2019, A New Framework of Reliability Centered Maintenance, Jordan Journal of Mechanical and Industrial Engineering, 13/3, 175–190.
YUN W.Y., PARK G., HAN Y.J., 2014, An Optimal Reliability and Maintainability Design of a Searching System, Journal of Communications in Statistics-Simulation Computation, 43/8, 1959–1978.
RIBEIRO I., et al., 2019, Implementing TPM Supported by 5S To Improve the Availability of an Automotive Production Line, Journal of Procedia Manufacturing, 38, 1574–1581.
HALLQUIST E.J., and SCHICK T., 2004, Best Practices for a FRACAS Implementation, Annual Symposium Reliability and Maintainability 2004-RAMS, IEEE.
SMITH A.M. and HINCHCLIFFE G.R., 2003, RCM-Gateway to World Class Maintenance, Elsevier.
REGAN N., 2012, The RCM Solution, Industrial Press.
TORELL W. and AVELAR V., 2004, Mean Time Between Failure: Explanation and Standards, Schneider Electric’s Data Center, White Paper, 78, 6–7.
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