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Preliminary communication
https://doi.org/10.17559/TV-20181105130950

Forecasting of Warranty Returns Based on the Reliability of Delivery Assessment

Teresa Gajewska* ; Cracow University of Technology, Faculty of Mechanical Engineering, Al. Jana Pawla II 37, 31-864 Krakow, Poland
Grzegorz Kaczor ; Cracow University of Technology, Faculty of Mechanical Engineering, Al. Jana Pawla II 37, 31-864 Krakow, Poland
Maciej Szkoda ; Cracow University of Technology, Faculty of Mechanical Engineering, Al. Jana Pawla II 37, 31-864 Krakow, Poland

Fulltext: english, pdf (868 KB) pages 994-999 downloads: 64* cite
APA 6th Edition
Gajewska*, T., Kaczor, G. & Szkoda, M. (2021). Forecasting of Warranty Returns Based on the Reliability of Delivery Assessment. Tehnički vjesnik, 28 (3), 994-999. https://doi.org/10.17559/TV-20181105130950
MLA 8th Edition
Gajewska*, Teresa, et al. "Forecasting of Warranty Returns Based on the Reliability of Delivery Assessment." Tehnički vjesnik, vol. 28, no. 3, 2021, pp. 994-999. https://doi.org/10.17559/TV-20181105130950. Accessed 16 Oct. 2021.
Chicago 17th Edition
Gajewska*, Teresa, Grzegorz Kaczor and Maciej Szkoda. "Forecasting of Warranty Returns Based on the Reliability of Delivery Assessment." Tehnički vjesnik 28, no. 3 (2021): 994-999. https://doi.org/10.17559/TV-20181105130950
Harvard
Gajewska*, T., Kaczor, G., and Szkoda, M. (2021). 'Forecasting of Warranty Returns Based on the Reliability of Delivery Assessment', Tehnički vjesnik, 28(3), pp. 994-999. https://doi.org/10.17559/TV-20181105130950
Vancouver
Gajewska* T, Kaczor G, Szkoda M. Forecasting of Warranty Returns Based on the Reliability of Delivery Assessment. Tehnički vjesnik [Internet]. 2021 [cited 2021 October 16];28(3):994-999. https://doi.org/10.17559/TV-20181105130950
IEEE
T. Gajewska*, G. Kaczor and M. Szkoda, "Forecasting of Warranty Returns Based on the Reliability of Delivery Assessment", Tehnički vjesnik, vol.28, no. 3, pp. 994-999, 2021. [Online]. https://doi.org/10.17559/TV-20181105130950

Abstracts
The paper presents a method to evaluate the reliability of deliveries with the application of Reliasoft Weibull++ software. The first stage in the proposed method was to collect data on outbound deliveries on a monthly basis and convert them into reliability data (life data). Next, by combining selected statistical tests and the maximum likelihood estimation method, the most accurate model of reliability of deliveries was obtained. Using the model which was generated, selected reliability indices were determined, such as: reliability of deliveries, unreliability of deliveries, failure rate of deliveries. Consequently, the number of future failed deliveries was forecast, taking into account the confidence bounds. The approach presented may be easily applied in companies in the logistics sector. The authors underlined that the reliability of deliveries is one of the key factors determining business competitiveness.

Keywords
Nevada Chart; reliability of deliveries; warranty analysis; Weibull distribution

Hrčak ID: 258232

URI
https://hrcak.srce.hr/258232

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