Forecasting of warranty returns based on the reliability of delivery assessment
Authors:
- Teresa Gajewska,
- Grzegorz Kaczor,
- Maciej Szkoda
Abstract
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.
- Record ID
- CUTb23f6e4461e547debdc3a24bd95c9cdb
- Publication categories
- ;
- Author
- Journal series
- Tehnicki Vjesnik-Technical Gazette, ISSN 1330-3651, e-ISSN 1848-6339
- Issue year
- 2021
- Vol
- 28
- No
- 3
- Pages
- 994-999
- Other elements of collation
- rys.; tab.; wykr.; Bibliografia (na s.) - 998-999; Bibliografia (liczba pozycji) - 27; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 28, No. 3
- Keywords in English
- Nevada Chart, reliability of deliveries, warranty analysis, Weibull distribution
- DOI
- DOI:10.17559/TV-20181105130950 Opening in a new tab
- URL
- https://hrcak.srce.hr/258232 Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 40
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTb23f6e4461e547debdc3a24bd95c9cdb/
- URN
urn:pkr-prod:CUTb23f6e4461e547debdc3a24bd95c9cdb
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.