TY - GEN
T1 - Development of a downtime influence factor severity index for improvement of naval ship availability
T2 - 7th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2017
AU - Wahid, Al Shafiq Abdul
AU - Ahmad, Mohd Zamani
AU - Sunarsih,
AU - Azlan, Nur Hanani Ahmad
AU - Ali, Arifah
AU - Yolhamid, Mohd Najib Abdul Ghani
AU - Zarim, Mohamad Abu Ubaidah Amir Abu
AU - Abdullah, Aisha
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - Navies worldwide have applied with a varied degree of success various maintenance concepts to achieve certain targeted operational ship availability. Nevertheless, few concepts focus on both the human and equipment factors that drive the unavailability or downtime. These factors can be designated as Downtime Influence Factors (DIFs). In previous research the severe DIFs had been identified via a 5-Stage Delphi conducted with experts in the field of Patrol Vessel (PV) In-Service Support (ISS) Contracts in Malaysia. By prioritizing and rating these DIFs based on Risk Assessment it was possible to determine a Severity Index formula. In a first step, the Severity Index (SI) prioritized the DIFs that are severe. In a subsequent step, the interrelationship of the DIFs was analyzed with the help of SPSS and the SI index was adjusted to take into account interrelationships. The resulting adjusted SI assists PV ISS contract stakeholders to pinpoint and focus on human and equipment factors that are the main causes of downtime.
AB - Navies worldwide have applied with a varied degree of success various maintenance concepts to achieve certain targeted operational ship availability. Nevertheless, few concepts focus on both the human and equipment factors that drive the unavailability or downtime. These factors can be designated as Downtime Influence Factors (DIFs). In previous research the severe DIFs had been identified via a 5-Stage Delphi conducted with experts in the field of Patrol Vessel (PV) In-Service Support (ISS) Contracts in Malaysia. By prioritizing and rating these DIFs based on Risk Assessment it was possible to determine a Severity Index formula. In a first step, the Severity Index (SI) prioritized the DIFs that are severe. In a subsequent step, the interrelationship of the DIFs was analyzed with the help of SPSS and the SI index was adjusted to take into account interrelationships. The resulting adjusted SI assists PV ISS contract stakeholders to pinpoint and focus on human and equipment factors that are the main causes of downtime.
KW - Downtime Influence Factors (DIFs)
KW - Naval Ship Availability
KW - Severity Index (SI)
UR - http://www.scopus.com/inward/record.url?scp=85044827661&partnerID=8YFLogxK
U2 - 10.1109/ICCSCE.2017.8284424
DO - 10.1109/ICCSCE.2017.8284424
M3 - Conference contribution
AN - SCOPUS:85044827661
T3 - Proceedings - 7th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2017
SP - 305
EP - 309
BT - Proceedings - 7th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 24 November 2017 through 26 November 2017
ER -