Using Diagnosis and Life Cycle Cost to Improve Reliability of an Excavator

##plugins.themes.bootstrap3.article.main##

  •   Ndamzia Clement Enyindah

  •   Rex Kemkom Amadi

Abstract

Diagnosing of equipment before actual failure and reduced total ownership cost of excavator (TOC) is a significant issue for the mining and civil construction industries to unavoidably consider. Consequences of prolonged project execution time and extra cost due to sudden breakdowns are better minimized by studying the reliability of the equipment and having knowledge of life cycle cost model which was used in this research to ascertain the economic replacement time and cost of an excavator. Results from life cycle cost analysis carried out on an excavator show that the replacement time and total ownership cost of excavator 320C from 2010 to 2017 is 8 years and N10, 214 respectively.


Keywords: Maintenance, Reliability, Diagnosis, Excavator and Life Cycle Cost

References

Xiangyu, H., Huiming, L., & Yiming, S. (2011). Online Fault Detection of Excavators Hydraulic System. Internal Journal of Digital Content Technology and Its Applications. 5(7), 18.

Sharma, C. (2014). Quality Management and Reliability. (3rded.). Khanna Published. New Delhi, India. 497-649.

Qing F., & Hongqin F. (2015). Reliability Analysis and Failure Prediction of Construction Equipment with Time Series Models. Journal of Advanced Management Science, 3(3), 203-210.

Hamodi, H. (2017). Life Cycle Cost Analysis of the Ventilation System in Stockholm’s Road Tunnels. A Journal of quality in maintenance engineering. Emerald publishing. To be published. 1-18.

Douglas, G., Calin, P., & Richard, R. (2006).Construction equipment management for engineers Estimators and owners. CRC press, Atlanta Georgia, USA.

Grandberg, D., & Edward, M. “Major Equipment Life Cycle Cost Analysis” Final Report. Iowa State, USA. 2015. 1-18.

Okoye, I. (2017). Determining the Optimal Replacement time for Water Pump in a Power Plant System: A Case Study. Master of Technology Dissertation. Rivers State University. To be published. 34.

Mahajan, M. Industrial Engineering and Production Management. 3rd ed.Ganjan Kapur, India.2009. Ch.17, pp. 240 -253.

Rosaler, R., Rice J & hicks, T. (2007).Equipment for Maintenance and Repair. Diagnosis Instrumentation for Machinery Maintenance. (Illustrated) Mc-Graw-Hill. 1-114.

Fredriksson, G., & Larsson, H. “An Analysis of Maintenance Strategies and development of Model for Strategy Formulation: a Case Study. Master of Science Thesis, Department of Production Engineering Gotebborg, Sweden. (2012). 1-156.

Tung, T., & Yang, B. (2009). Machine Fault Diagnosis and Prognosis: the state of art. International Journal of Fluid Machinery and System, 1(2), 61-67.

Xu, X., wang, H., Zang, N., Liu, Z., & Wang, X. (2017). Review of fault Mechanism and Diagnostic Technique for the Range Extender Hybrid Electric Vehicle. Journal of Institute of Electric Electronics Engineers, 5, 14234-14244. DOI:10.1109/Access.2017,2725298

Verma, A. (2013). Operation Research. (7th Ed.). Kataria & Sons, New Delhi, India. Ch. 17, 613-646.

Downloads

Download data is not yet available.

##plugins.themes.bootstrap3.article.details##

How to Cite
[1]
Enyindah, N. and Amadi, R. 2019. Using Diagnosis and Life Cycle Cost to Improve Reliability of an Excavator. European Journal of Engineering Research and Science. 4, 3 (Mar. 2019), 21-26. DOI:https://doi.org/10.24018/ejers.2019.4.3.1107.