Forecasting of Warranty Returns Based on the Reliability of Delivery Assessment

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 sele...

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Main Authors:	Teresa Gajewska*, Grzegorz Kaczor, Maciej Szkoda
Format:	Article
Language:	English
Published:	Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2021-01-01
Series:	Tehnički Vjesnik
Subjects:	Nevada Chart reliability of deliveries warranty analysis Weibull distribution
Online Access:	https://hrcak.srce.hr/file/375500

id	doaj-a4ac35f77bfb406b9fdf66a397ecd5ca
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spelling	doaj-a4ac35f77bfb406b9fdf66a397ecd5ca2021-06-05T09:56:20ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek Tehnički Vjesnik1330-36511848-63392021-01-01283994999Forecasting of Warranty Returns Based on the Reliability of Delivery AssessmentTeresa Gajewska*0Grzegorz Kaczor1Maciej Szkoda2Cracow University of Technology, Faculty of Mechanical Engineering, Al. Jana Pawla II 37, 31-864 Krakow, PolandCracow University of Technology, Faculty of Mechanical Engineering, Al. Jana Pawla II 37, 31-864 Krakow, PolandCracow University of Technology, Faculty of Mechanical Engineering, Al. Jana Pawla II 37, 31-864 Krakow, PolandThe 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.https://hrcak.srce.hr/file/375500Nevada Chartreliability of deliverieswarranty analysisWeibull distribution
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Teresa Gajewska* Grzegorz Kaczor Maciej Szkoda
spellingShingle	Teresa Gajewska* Grzegorz Kaczor Maciej Szkoda Forecasting of Warranty Returns Based on the Reliability of Delivery Assessment Tehnički Vjesnik Nevada Chart reliability of deliveries warranty analysis Weibull distribution
author_facet	Teresa Gajewska* Grzegorz Kaczor Maciej Szkoda
author_sort	Teresa Gajewska*
title	Forecasting of Warranty Returns Based on the Reliability of Delivery Assessment
title_short	Forecasting of Warranty Returns Based on the Reliability of Delivery Assessment
title_full	Forecasting of Warranty Returns Based on the Reliability of Delivery Assessment
title_fullStr	Forecasting of Warranty Returns Based on the Reliability of Delivery Assessment
title_full_unstemmed	Forecasting of Warranty Returns Based on the Reliability of Delivery Assessment
title_sort	forecasting of warranty returns based on the reliability of delivery assessment
publisher	Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
series	Tehnički Vjesnik
issn	1330-3651 1848-6339
publishDate	2021-01-01
description	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.
topic	Nevada Chart reliability of deliveries warranty analysis Weibull distribution
url	https://hrcak.srce.hr/file/375500
work_keys_str_mv	AT teresagajewska forecastingofwarrantyreturnsbasedonthereliabilityofdeliveryassessment AT grzegorzkaczor forecastingofwarrantyreturnsbasedonthereliabilityofdeliveryassessment AT maciejszkoda forecastingofwarrantyreturnsbasedonthereliabilityofdeliveryassessment
_version_	1721396508200271872

Forecasting of Warranty Returns Based on the Reliability of Delivery Assessment

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