Advertisement

Reliability analysis of a reach stacker in relation to repair maintenance cost and time: a case study of the Gambia sea port

  • Theodore TchotangEmail author
  • Lucien Meva’a
  • Bienvenu Kenmeugne
  • Paul Victor Jatta
Original Research
  • 2 Downloads

Abstract

The aim of this paper is to analyze the reliability of a reach stacker in relation to its repair maintenance cost and time. The machine components were categorized into 3 systems and 14 subsystems. The Pareto method and Trend test were used for the analysis. The mechanical system has the most critical system with 46 failures representing 42%, and the hose has the most critical subsystem with 24 failures, which represents 22%. The value of the statistics is β = 1.018, which indicates a negative growth since (β > 1). The value of the Chi square \( \left( {X_{ 2N}^{2} = 216.11} \right) \) is less than those of the critical values (CV1 = 186.67 and CV2 = 255.60), which led to the rejection of the null hypothesis of reliability growth at 10% significance level and the average total reliability of the machine is 0.984. As the reliability rises, the repair and maintenance cost and the time drop and as the reliability drops, the repair and maintenance cost increases and the time increases too.

Keywords

Analysis Maintenance Reach stacker Reliability Repair and maintenance cost 

Notes

Acknowledgements

The authors are delighted to acknowledge the students, researchers and staff of the National Advanced School of Engineering, University of Yaoundé 1, Cameroon. We also thank the staff and management of The Gambia Ports Authority, especially the Technical department.

References

  1. AdminMathCracker (2018) Mathcracker. Available: http://mathcracker.com/Chisquare-critical-values.php#results. Accessed date 29th Aug 2018
  2. Amsc N, AREA SESS A (1981) Department of defense, Military handbook. Reliability growth management. Department of Defense, WashingtonGoogle Scholar
  3. Billinton R, Allan RN (1992) Reliability evaluation of engineering systems: concept and techniques. Plenum Press, New YorkCrossRefGoogle Scholar
  4. Cargotec (2014) Kalmar empty container handers. Cargotec, HelsinkiGoogle Scholar
  5. Dagnew A (2012) “Optimization of periodic maintenance using condition monitoring techniques and operational data,” in A British Standards 8210, pp 5–10Google Scholar
  6. Denning R (2012) Applied R&M manual for defence systems. Department of Defence, Abbey Wood, FiltonGoogle Scholar
  7. Dillon B (2002) Engineering maintenance; a modern approach. CRC Press, Boca Raton, p 187CrossRefGoogle Scholar
  8. Dumont L, More L (2001) Modélisation des couts de Maintenance: application Sur L’installation d’expérimentation Airix, Ligerson SA, pp 1–3, 25th to 27th April 2001Google Scholar
  9. Mobley LRHDJWRK (2008) Maintenance engineering handbook, 7th edn. Principal, Life Cycle Engineering Inc., Charleston, p 100Google Scholar
  10. Najafi P (2015) Reliability analysis of agricultural machinery: a case study of sugarcane chopper harvester. Agric Eng Int CIGR J 17(1):158–165Google Scholar
  11. NIST/SEMATECH (2013) Engineering statistics handbook. Available: http://www.itl.nist.gov/div898/handbook/dtoc.htm [4/17/2013 7:03:11 PM]

Copyright information

© Society for Reliability and Safety (SRESA) 2019

Authors and Affiliations

  1. 1.National Advanced School of EngineeringUniversity of Yaoundé IYaoundéCameroon
  2. 2.Technical DepartmentGambia Ports AuthorityBanjulThe Gambia

Personalised recommendations