Analysis of Warranty Data to Identify Improvements to Vehicle Reliability and Service Information

Mikulec, Nick; Felke, Tim; Bangale, Shaunak

doi:10.4271/2017-01-1687

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…Maintenance cost prediction based on maintenance data had always been a difficult problem in the automotive industry. Many scholars had conducted a lot of research on the maintenance cost model, such as Mikulec and Bangale 10 , Sun and Zhang 11 , Kassoumeh et al 12 , Li and Yu 13 , Eddy et al 14 , Hiwase and Jagtap 15 . The maintenance cost prediction method of the vehicle after sales based on field maintenance data proposed in this paper was a maintenance cost prediction model based on a large number of historical filed maintenance data.…”

Section: Discussionmentioning

confidence: 99%

Maintenance cost prediction for the vehicle based on maintenance data

Zhonghui

Guo²,

Sun

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part D:

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With the fierce competition in the automobile market, the focus of competition in the automobile industry had gradually turned to the automobile extended warranty service. The prediction of maintenance cost was a very important premise for the formulation of automobile extended warranty service. Combining the failure frequency data of vehicles in multiple sales batches, the mixed Weibull model was used to fit the failure process, and the single vehicle failure rate prediction model was obtained; At the same time, combined with the maintenance cost data of the same batch of vehicles, the prediction model of single vehicle maintenance cost was obtained by iterative solution. Using the existing maintenance data, the maintenance cost prediction model based on user group had been verified. The results showed that the model was real, effective and had strong engineering application value.

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Section: Discussionmentioning

confidence: 99%

Maintenance cost prediction for the vehicle based on maintenance data

Zhonghui

Guo²,

Sun

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…When using simulation models the statistical information is applied not only to create these models, but also to check its compliance to real system with the help of validation and verification. Especially this issue can become critical while planning track's service in warranty period [4,5]. In many cases it is necessary to deal with the incomplete or subjective information based on claims of vehicles' owners.…”

Section: Methodsmentioning

confidence: 99%

Forecasting of Changes in Service System during the Launch Period of the New Automobile Lineup

Buyvol¹,

Макарова²,

Gabsalikhova³

et al. 2019

helix

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The purpose of the research is developing tools for forecasting changes in the service system during the period when new models of automotive vehicles are being introduced to the market. Research objectives: development of the structure and composition of decision support systems to improve the competitiveness of the service system, development of a mathematical model of a dealer-service network and a simulation model of the network of the Republic of Kazakhstan. The simulation model takes into account the following parameters: the percentage of satisfaction for applications for spare parts directly from the warehouse, the number of posts, the number of workers, the distribution of the flow of applications from the concentration of vehicles in the service center, the mode of operation of the service center. The following research methods were used: methods of system analysis and mathematical statistics, elements of the theory of reliability, simulation, computer experiment. After verification and validation of the developed model, a computer experiment was conducted with the current parameters. The obtained simulation values are reliable at a 5% significance level. The following result was achieved: a simulation model was built for the functioning of the dealer-service network that can be used in strategic planning for expanding the service network and entering new markets.

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Analysis of Warranty Data to Identify Improvements to Vehicle Reliability and Service Information

Cited by 2 publications

References 12 publications

Maintenance cost prediction for the vehicle based on maintenance data

Maintenance cost prediction for the vehicle based on maintenance data

Forecasting of Changes in Service System during the Launch Period of the New Automobile Lineup

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