Genetic Algorithm-Based Fuzzy Programming Method for Multi-objective Stochastic Transportation Problem Involving Three-Parameter Weibull Distribution

Gessesse, Adane Abebaw; Mishra, Rajashree

doi:10.1007/978-981-15-5411-7_11

Cited by 2 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Weibull distribution can be also used in the transportation industry. For example, it can be used for the modelling of multi-objective stochastic transportation problems [10]. It can be used in rail transportation-for example, for the analysis of the longitudinal load of the wheels rolling along the rail [11]; in road transportation for the analysis of traffic losses [12], for the characterization of vibration levels [13], for the quality control of construction and maintenance processes of highway mechanical and electrical systems [14], or for the lifespan evaluation of traffic detectors for automated traffic recorders [15]; or to determine optimal flow distribution plans for mining, for urban electric vehicles, and for charging stations [16].…”

Section: Introductionmentioning

confidence: 99%

Influence of Disinfectants on Airport Conveyor Belts

et al. 2021

View full text Add to dashboard Cite

The coronavirus disease has influenced almost all of our everyday activities. Traveling and transportation have been influenced significantly and there is no doubt that air transportation has been restricted and therefore reduced considerably. It is predicted that the change back to pre-pandemic conditions will take several years, and so it is a reasonable assumption that disinfectants will be used more frequently for a long time. The presented article initially deals with the possible impacts of the pandemic on aircraft infrastructure—namely, on the influence of disinfectants on the rubber materials used, for example, in conveyor belts. The proposed methodology is based on the Weibull analysis for conveyor belt lifetime prediction regarding the impact of disinfectants. The Weibull distribution is a continuous probability distribution that can be applied as a theoretical model for statistical data processing. It was named after Weibull, who suggested shape, scale, and location parameters that made the distribution meaningful and useful. Currently, this distribution is applied in many areas, such as biology, economics, and hydrology. In engineering applications, it can be used for reliability and survival analysis. It is used mainly in cases where failure time is dependent on the operating hours, cycles, or age of the component. In the reliability area, it can be used, for example, to predict the lifetime or failure time of a component. To show the consequences of material changes due to the use of disinfectants, this article also presents a CAE (Computer Aided Engineering) analysis that was used for the evaluation of other hyperelastic material characteristics. This research is based on the results of experimental measurements, during which the influence of the types of disinfectant commonly used for the elimination of the coronavirus disease on airport conveyor belt rubber segments was tested. From the performed analysis, it was found that the influence of disinfectants on the material characteristics, including material hardness, elasticity, and static and dynamic loading, could be significant. Therefore, the probability of mechanical damage to the rubber part of the conveyor belt becomes higher, and time intervals for the maintenance or repair of airport conveyor belts should be considered.

show abstract

Section: Introductionmentioning

confidence: 99%

Influence of Disinfectants on Airport Conveyor Belts

et al. 2021

View full text Add to dashboard Cite

show abstract

Prediction Model of the Pandemic Spreading Based on Weibull Distribution

Guľáš

Talian

Szabó

et al. 2022

Management Systems in Production Engineering

View full text Add to dashboard Cite

Pandemics have the potential to cause immense disruption of our everyday activities and has impact on the communities and societies mainly through the restrictions applied to the business activities, services, manufacturing, but also education, transportation etc. Therefore, it is important to create suitable prediction models to establish convenient methods for the planning of the operations and processes to cope with the difficulty. In this paper, the prediction model for the spread of the viral disease in term of the estimated maximal weekly confirmed cases and weekly deaths using the Weibull distribution as a theoretical model for statistical data processing is presented. The theoretical prediction model was applied and confirmed on the data available for the whole world and compared to the situation in Europe and Slovakia for the pandemic waves and can be used for the more precise prediction of the pandemic situation and to enhance planning of the activities and processes regarding to the restrictions applied during the worsening pandemic situation.

show abstract

Genetic Algorithm-Based Fuzzy Programming Method for Multi-objective Stochastic Transportation Problem Involving Three-Parameter Weibull Distribution

Cited by 2 publications

References 9 publications

Influence of Disinfectants on Airport Conveyor Belts

Influence of Disinfectants on Airport Conveyor Belts

Prediction Model of the Pandemic Spreading Based on Weibull Distribution

Contact Info

Product

Resources

About