An almost learning curve model for manual assembly performance improvement

In this paper, an almost learning curve (ALC) model is presented. This provides a more accurate approximation of the production data than the traditional log-linear learning curve model. The proposed ALC model is based on the solution of differential equations and still has all the necessary log-lin...

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Main Authors: Vytautas Kleiza, Justinas Tilindis
Format: Article
Language:English
Published: Vilnius University Press 2016-11-01
Series:Nonlinear Analysis
Subjects:
Online Access:http://www.zurnalai.vu.lt/nonlinear-analysis/article/view/13432
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author Vytautas Kleiza
Justinas Tilindis
author_facet Vytautas Kleiza
Justinas Tilindis
author_sort Vytautas Kleiza
collection DOAJ
description In this paper, an almost learning curve (ALC) model is presented. This provides a more accurate approximation of the production data than the traditional log-linear learning curve model. The proposed ALC model is based on the solution of differential equations and still has all the necessary log-linear learning curve function properties. The ALC model was tested on the wiring harness manufacturer production data. Findings suggest that the ALC model approximates data accurately and is superior to the classical learning curve (CLC) for various manufacturing situations. Moreover, the use of the ALC showed an additional insight into the analysis of learning and skill development.
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spelling doaj.art-c5507a69e20f458d88ccb972c87410972022-12-22T03:06:14ZengVilnius University PressNonlinear Analysis1392-51132335-89632016-11-0121610.15388/NA.2016.6.7An almost learning curve model for manual assembly performance improvementVytautas Kleiza0Justinas Tilindis1Vytautas Magnus University, LithuaniaAQ Wiring Systems UAB, LithuaniaIn this paper, an almost learning curve (ALC) model is presented. This provides a more accurate approximation of the production data than the traditional log-linear learning curve model. The proposed ALC model is based on the solution of differential equations and still has all the necessary log-linear learning curve function properties. The ALC model was tested on the wiring harness manufacturer production data. Findings suggest that the ALC model approximates data accurately and is superior to the classical learning curve (CLC) for various manufacturing situations. Moreover, the use of the ALC showed an additional insight into the analysis of learning and skill development.http://www.zurnalai.vu.lt/nonlinear-analysis/article/view/13432mathematical modelingdifferential equationoptimization of data fittinglearning curve
spellingShingle Vytautas Kleiza
Justinas Tilindis
An almost learning curve model for manual assembly performance improvement
Nonlinear Analysis
mathematical modeling
differential equation
optimization of data fitting
learning curve
title An almost learning curve model for manual assembly performance improvement
title_full An almost learning curve model for manual assembly performance improvement
title_fullStr An almost learning curve model for manual assembly performance improvement
title_full_unstemmed An almost learning curve model for manual assembly performance improvement
title_short An almost learning curve model for manual assembly performance improvement
title_sort almost learning curve model for manual assembly performance improvement
topic mathematical modeling
differential equation
optimization of data fitting
learning curve
url http://www.zurnalai.vu.lt/nonlinear-analysis/article/view/13432
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AT justinastilindis analmostlearningcurvemodelformanualassemblyperformanceimprovement
AT vytautaskleiza almostlearningcurvemodelformanualassemblyperformanceimprovement
AT justinastilindis almostlearningcurvemodelformanualassemblyperformanceimprovement