The concept of availability importance measures can be used to identifying critical components from the availability performance point of view. The availability of an item depends on the combined aspects of its reliability and maintainability performance indices. These indices are considerably affected by operational and environmental conditions such as; ambient temperature, precipitation, wind, ...

Ecological Literacy (EL) is understanding and applying ecological principles to environmental issues. It involves recognizing the interdependence of living organisms and ecosystems and the impacts of human actions on the environment. EL individuals possess knowledge of biodiversity, ecological processes, and sustainability, enabling them to make informed, environmentally responsible decisions. This ...

Different risks are associated with the operation and maintenance of wind farms in cold climate regions, mainly due to the harsh weather conditions that wind farms experience in that region such as the (i) increased stoppage rate of wind turbines due to harsh weather conditions, (ii) limited accessibility to wind farms due to snow cover on roads, and (iii) cold stress to workers at wind farms. In ...

Recently, to evaluate the response of systems against disruptive events, the application of the resilience concept has been increased. Resilience depicts the system’s ability to return to its normal operational status after the disruption. Various studies in the field of engineering and non-engineering systems have only considered systems’ performance indicators to estimate resilience. Therefore, ...

In this paper, we present a new mixed-integer linear goal programming (MILGP) model for a fuzzy single-source capacitated facility location problem (F-SSCFLP), in which demands are considered as triangular fuzzy values and capacity of facilities are fuzzy constraints. At first, the basic fuzzy model for the given problem is presented. Then, utilizing goal programming (GP) approach and fuzzy principals ...

Human reliability makes a considerable contribution to the maintenance performance, safety, and cost-efficiency of any production process. To improve human reliability, the causes of human errors should be identified and the probability of human errors should be quantified. Analysis of human error is very case-specific; the context of the field should be taken into account. The aim of this study is ...

With an increase in the world population, the global demand for minerals is rising, increasing energy consumption. Due to the distance of mines from urban areas, the energy required for mining is highly dependent on fossil fuels. Using renewable energies is an effective solution to reducing this problem. This study examines the challenges and opportunities of integrating renewable energy into ...

Knowing the maintainability of a component or a system means that repair resource allocations, such as spare part procurement and maintenance training, can be planned and optimized more effectively. Repair data are often collected from multiple and distributed units in different operational conditions, which can introduce heterogeneity into the data. Part of such heterogeneity can be explained and ...

The day-ahead wind power forecast is essential for the designation of dispatch schedules for the grid and rational arrangement for production planning by power generation companies. This paper specifically investigates the effect of adding noise to the original wind data for forecasting models. Linear regression, artificial neural networks, and adaptive boosting predictive models based on ...

In reality, failure data are often collected under diffract operational conditions (covariates), leading to heterogeneity among the data. Heterogeneity can be classified as observed and unobserved heterogeneity. Un-observed heterogeneity is the effect of unknown, unrecorded, or missing covariates. In most reliability studies, the effect of unobserved covariates is neglected. This may lead to inaccurate ...