دانلود مقاله ISI انگلیسی شماره 88405
ترجمه فارسی عنوان مقاله

تجزیه و تحلیل ارزش مبتنی بر چرخه حیات از راه آهن - عبور جاده سطح: روش احتمالی با استفاده از شبیه سازی مونت کارلو

عنوان انگلیسی
Lifecycle Based User Value Analysis of Rail - Road Level Crossings: Probabilistic Approach Using Monte Carlo Simulation
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
88405 2017 10 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Procedia Engineering, Volume 178, 2017, Pages 409-418

ترجمه کلمات کلیدی
نگهداری، هزینه حمل و نقل تجزیه و تحلیل احتمالاتی، ارزیابی چرخه ی یکپارچه،
کلمات کلیدی انگلیسی
maintenance; Lifcycle cost; probabilistic analysis; integrated lifecycle assessment;
پیش نمایش مقاله
پیش نمایش مقاله  تجزیه و تحلیل ارزش مبتنی بر چرخه حیات از راه آهن - عبور جاده سطح: روش احتمالی با استفاده از شبیه سازی مونت کارلو

چکیده انگلیسی

Railway operators are in continuous pressure to minimize maintenance and rehabilitation costs of infrastructures; at the same time they are expected to provide a reliable service by optimum allocation of natural and economical resources. Railway tracks and level crossings are long-lived assets where their service life stretch 30 to 100 years. This paper aims to show an approach that serve as a decision support whereby expert's knowledge can directly be integrated by using a delphiround. A proposed methodology is illustrated by application examples using level crossings commonly used in Austria by Wiener Lokalbahnen. Lifecycle based user – product performance – expectations and economic imperatives could be incorporated through the development of key performance metrics. Assessment criteria are set by allocation percentages for value criteria under these criteria are the sub value – contingencies where Monte Carlo simulation is used for probabilistic scenario analysis. The approach facilitates the first step for a detailed lifecycle cost analysis of infrastructures by supporting experts and non-expert decision makers to get a quicker overview on system benefits as well as serve as a bridge to the practical application of more robust data-driven lifecycle cost analysis.