成本不确定性下工程车辆经济寿命等效年成本模型的实例研究

IF 1 4区 经济学 Q4 BUSINESS
Mohamad Zarean, A. Sayadi, Amin Mousavi
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引用次数: 0

摘要

摘要尽管经济寿命(EL)的实际重要性是众所周知的,但选择合适的工艺一直是一个难题。在这方面,可以追溯到一个世纪前的经典方法通常受到青睐,但在数据驱动的方法中使用它们仍然有特别的缺点。本文旨在提出一个寿命周期成本(LCC)模型,当历史数据的波动在卡车的使用寿命中加深时,该模型确定卡车的EL。LCC的等效年度成本是根据运营和维护(O&M)成本以及转售价值制定的。使用回归分析和基于布朗运动的模拟,对运维成本进行了确定性和随机性估计。采用遗传算法对转售价值进行建模。利用大坝建设项目中一辆7立方米卡车运输填石材料的真实数据对模型性能进行了评估。最佳EL平均估计为105 在确定性条件下的几个月,而它是88-145 使用非确定性方法在70%置信水平下的几个月。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Case study of an equivalent annual cost model for economic lifetime for construction vehicles under cost uncertainty
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.
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来源期刊
Engineering Economist
Engineering Economist ENGINEERING, INDUSTRIAL-OPERATIONS RESEARCH & MANAGEMENT SCIENCE
CiteScore
2.00
自引率
0.00%
发文量
14
审稿时长
>12 weeks
期刊介绍: The Engineering Economist is a refereed journal published jointly by the Engineering Economy Division of the American Society of Engineering Education (ASEE) and the Institute of Industrial and Systems Engineers (IISE). The journal publishes articles, case studies, surveys, and book and software reviews that represent original research, current practice, and teaching involving problems of capital investment. The journal seeks submissions in a number of areas, including, but not limited to: capital investment analysis, financial risk management, cost estimation and accounting, cost of capital, design economics, economic decision analysis, engineering economy education, research and development, and the analysis of public policy when it is relevant to the economic investment decisions made by engineers and technology managers.
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