Warranty optimisation based on the prediction of costs to the manufacturer using neural network model and Monte Carlo simulation

Stamenković, Dragoslav; Popović, Vladimir

doi:10.1080/00207721.2013.792972

Cited by 7 publications

(4 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…ANN and multiple regressions are used in this study as the borderline or benchmark in investigating the prediction of data by comparing the soft computing modelwith one mathematical model. A number of researchers have employed ANN model as soft computing model in predicting warranty cost such as by [13] and [14].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Comparison between ANN and Multiple Linear Regression Models for Prediction of Warranty Cost

Darmawan

Jamahir

Saedudin

et al. 2018

IJIE

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

“…However, soft computing models have been used by many researchers in the other research area which can provide some feasible solutions for the complex real-world problems. For warranty problem, there are several studies in warranty problem specifically by using soft computing model [1,7,8,9,10,13,14].…”

Section: Introductionmentioning

confidence: 99%

Comparison between ANN and Multiple Linear Regression Models for Prediction of Warranty Cost

Darmawan

Jamahir

Saedudin

et al. 2018

IJIE

View full text Add to dashboard Cite

“…A statement that could be heard in services is that first car sells sales staff and all others aftersales. Quality of service management also comprises the possibility of failure occurrence [12,13]. Namely, in the last decade, there was a trend of vehicle price reduction on the motor vehicle market, to keep up with the competition.…”

Section: Motor Vehicle Maintenance As the Major After-sales Activitymentioning

confidence: 99%

Quality of service management in automotive service stations

2022

View full text Add to dashboard Cite

Quality is the basis of the existence of any modern organization. Delivery of quality products/services satisfying or exceeding consumer expectations is imperative for the success of any organization. Therefore, quality must be managed. The purpose of this work is to establish a model for quality management of vehicle after-sale maintenance activities. To achieve this goal it was first necessary to identify quality indicators. An instrument for quality measurement of after-sale vehicle maintenance activities was afterward established, based on identified quality indicators and theoretical and practical knowledge in the field of quality management, to be followed by a model for quality management. An example of quality management of vehicle maintenance with the implementation of the established model was also presented. The developed methodology may be generalized and applied to other service industries.

show abstract

“…Increasing the efficiency of using oils in power plants is associated with the difficulty in determining the limit state, which depends on the mass of factors that affect the aging of the oil. At present, having an extensive set of data on the operation of the system based on changes in parameters in various operating conditions, it is possible to create reliable algorithms using artificial neural networks [3,4]. The search for new solutions for predicting faults in the power plant is, in general, quite intensive.…”

Section: Introductionmentioning

confidence: 99%

Research and evaluation of the operating characteristics of used ship engine oil using the process parameter matrix method

Mazur,

Shcherban,

Mazur

2023

FME Transactions

View full text Add to dashboard Cite

The marine engine circulating oil change interval suggested by manufacturers is a guideline based on general scale statistics and laboratory testing. At the same time, the actual remaining oil life can significantly correct the time and money spent by the chief mechanic service on system maintenance. In the present work, a method has been developed that makes it possible to increase the service life of mechanisms and the reliability of ship equipment under operating conditions. The effect is achieved by identifying and analyzing the most significant and influential parameters of the lubricant used. An array of physical and chemical data on lubricants, taking into account the equipment's time to failure, is processed by a special computer program for monitoring the state of a marine engine in operating mode. The developed software package allows more accurate and timely maintenance of the SPP (ship power plant).

show abstract

Warranty optimisation based on the prediction of costs to the manufacturer using neural network model and Monte Carlo simulation

Cited by 7 publications

References 5 publications

Comparison between ANN and Multiple Linear Regression Models for Prediction of Warranty Cost

Comparison between ANN and Multiple Linear Regression Models for Prediction of Warranty Cost

Quality of service management in automotive service stations

Research and evaluation of the operating characteristics of used ship engine oil using the process parameter matrix method

Contact Info

Product

Resources

About