A maintenance study of fishing vessel equipment using delay-time analysis

Journal of Quality in Maintenance Engineering

Volumn 7, Issue 2, 2001, Pages 118-127

  Pillay, A ^a   Wang, J ^a   Wall, A D ^a   Ruxton, T ^b  

^a LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

^b STAFFORDSHIRE UNIVERSITY   (United Kingdom)

Author keywords

Downtime; Maintenance; Safety

Indexed keywords

ACCIDENT PREVENTION; COST EFFECTIVENESS; FAILURE (MECHANICAL); FISHING VESSELS; INSPECTION; MACHINE COMPONENTS; MATHEMATICAL MODELS; NORMAL DISTRIBUTION; PROBABILITY DENSITY FUNCTION; REPAIR; WEIBULL DISTRIBUTION;

DELAY-TIME ANALYSIS; DOWNTIME; FISHING VESSEL EQUIPMENT;

MAINTENANCE;

EID: 0034882249     PISSN: 13552511     EISSN: None     Source Type: Journal    
DOI: 10.1108/13552510110397421     Document Type: Article

References (17)

1. Estimating the delay time distribution of faults in repairable machinery for failure data
2. Developing and testing the delay time model
3. Inspection practice for concrete structures in the UK
4. Reducing preventive maintenance cost error caused by uncertainty
5. An operational research approach to planned maintenance: Modelling PM for a vehicle fleet
6. Reducing production downtime using delay-time analysis
7. Delay-time models of industrial inspection maintenance problems
8. Modelling maintenance practice of production plant using delay-time concept
9. A case study of modelling preventive maintenance of production plant using subjective data
10. A deterministic maintenance scheduling problem for a group of non-identical machines
11. Using delay-time analysis to study the maintenance problem of gearboxes
12. Choice criteria in conditional preventive maintenance
13. Statistical-based or condition-based preventive maintenance?
14. Preventive maintenance modelling: A Bayesian perspective
15. OR modelling of the deterioration and maintenance of concrete structures
16. Reliability-centred maintenance applied to power plant auxiliaries
17. Subjective estimation of delay-time distribution in maintenance modelling