PENENTUAN UMUR EKONOMI WHEEL LOADER VOLVO L220G MENGGUNAKAN MINIMUM COST METHOD

Daniel Dani Wahyu Krismantoro, Saladin Ghalib, Rasyidi Rasyidi

Abstract


Daniel Dani Wahyu Krismantoro, D2A215003, 2015. Determination of the Economic Life of the Volvo L220G Wheel Loader Using the Minimum Cost Method, under the guidance of  Saladin Ghalib and Rasyidi.

This study aims to, 1) Establish a regression model of equipment age (X) with the cost of repairs and maintenance (Y), 2) Determine the economic life of the equipment with the Minimum Cost Method, and 3) Determine significant factors that influence the determination of economic life using sensitivity analysis and Monte Carlo simulation.

The population was taken from 5-unit Volvo L220G Wheel Loader that has been operating in Jetty-R coal port, Kab. Tapin, South Kalimantan. Data collection uses interviews and observation method. The researches data was taken in the span of 2014 - 2018 with the equipment life 15,000 - 18,500 working hours.

The results obtained, 1) The cost model follows the equation Y = 1752.6 + 0.2046X + 0.0002X ^ 2 where X is the age of the equipment (Independent Variable) and Y is the maintenance cost (Variable Cost). 2) Economic life is calculated by using the Minimum Cost Method which occurs in the fourth year (working hours 13,537.84). 3) the factors that most influence the ownership and operational costs are the cost of purchasing fuel, the cost of ownership and the cost of repairs and maintenance.

 Keywords:  Economic Life, Minimum Cost Method, Wheel Loader Volvo L220G


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References


Barringer, P. H., & Weber, D. P. (1996). Life cycle Cost Tutorial. Fifth International Conference Process Plant Realibility. Houston, Texas.

Chen, S., & Keys, K. (2009). A Cost Analyis Model for Heavy Equipment. Elsevier, Computer & Industrial Engineering 56, 1276 - 1288.

Douglas D. Gransberg, C. M. (2006). Construction Equipment management for Engineer, Estimator and Owner. Taylor and Francis.

Gransberg, D. D. (2015). Major Equipment Life Cycle Cost Analysis. Minnesota: Minnesota Departement of Tranportation.

Gransberg, D. D., Popescu, M. C., & Ryan, C. R. (2006). Construction Equipment management for Engineer, Estimator and Owner. Taylor and Francis.

Hammer, L. H., Carter, W. K., & Usry, M. F. (1994). Cost Accounting. Cincinnati: South-Western Publishing Co.

Hilderth, J. (2013). Proof of Concept: Cummulative Cost Model for NCDOT Equipment Fleet Data. Charlotte: UNC Charlotte.

Micthell Jr., Z. W. (1998). A statistical Analysis Of Construction Repair Cost using Fiel Data and Cumulative Cost Model. Virginia: Virginia Polytechnic Institutes .

O'Connor, E. P. (2014). Major Equipment Life Cycle Cost Analysis ( Case : Minneapolis Public Works Flee service Division). Iowa: Iowa State University.

Okano, K. (2001). Life cycle costing - An approach to life cycle cost. Asia Pasific Mangement Review.

Reynold, S. H. (1976). Life Costing Emphasizing Energy Conservation Guidelines for lnvestment. US National Technical Information Service.

Ruegg R, J. T. (1978). Life-Cycle Costing, A guide for Selection Energy Conservation Projects for Public Buildings. . National Technical Information Service.

Shibiao Chen, L. K. (2009). A Cost Analyis Model for Heavy Equipment. Elsevier, Computer & Industrial Engineering 56, 1276 - 1288.

Sugiyono. (2015). Statiska Untuk Penelitian. Bandung: Alfabeta.

Taylor, h. M., & Karlin, S. (1998). An Introduction to stochastic Modelling. London: Academic Press.

Widarjono, A. (2018). Analisa Regresi dengan SPSS. Yogyakarta: UPP STIM YKPN.




DOI: http://dx.doi.org/10.20527/jbp.v9i2.8868

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Jurnal Bisnis dan Pemabangunan is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. ISSN : 2541-1403 (print verson), E-ISSN : 2541-187X