Case study of an equivalent annual cost model for economic lifetime for construction vehicles under cost uncertainty
Mohamad Zarean,
Ahmad Reza Sayadi and
Amin Alah Mousavi
The Engineering Economist, 2022, vol. 67, issue 1, 75-93
Abstract:
Whereas the practical importance of the Economic Lifetime (EL) is well-known, selecting the proper process has always been a dilemma. In this respect, classical methods dating back to one century ago are generally favored, but using them in a data-driven approach still has particular shortcomings. This paper aims to present a Life Cycle Cost (LCC) model determining the EL of a truck while fluctuation in historical data deepens through its lifespan. The equivalent annual cost of LCC is developed based on Operating and Maintenance (O&M) costs along with the resale value. The O&M cost was estimated deterministically and stochastically using regression analysis and Brownian-Motion-based simulation. The resale value was modeled by employing a genetic algorithm. The model capability was evaluated using real data of a seven cubic-meters truck hauling rock-fill materials in a dam construction project. The optimal EL was estimated on average 105 months in deterministic condition, while it was 88-145 months at the 70% confidence level using non-deterministic approach.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/0013791X.2022.2028048 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:uteexx:v:67:y:2022:i:1:p:75-93
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/UTEE20
DOI: 10.1080/0013791X.2022.2028048
Access Statistics for this article
The Engineering Economist is currently edited by Sarah Ryan
More articles in The Engineering Economist from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().