Statistical Analyses of Productivity Model Parameters for Process Improvement

Productivity modeling and validation is the assessment of data to establish scientific indications that a process is stable. The aim of this paper is to present a novel approach using statistical analyses for process improvement. This study highlights the process behavior of three different lathe...

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Main Author: Zahid Hussain
Format: Article
Language:English
Published: Lublin University of Technology 2019-06-01
Series:Advances in Sciences and Technology
Subjects:
Online Access:http://www.journalssystem.com/astrj/Statistical-Analyses-of-Productivity-Model-Parameters-for-Process-Improvement-,106240,0,2.html
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author Zahid Hussain
author_facet Zahid Hussain
author_sort Zahid Hussain
collection DOAJ
description Productivity modeling and validation is the assessment of data to establish scientific indications that a process is stable. The aim of this paper is to present a novel approach using statistical analyses for process improvement. This study highlights the process behavior of three different lathe machines unit with the intention to replace one of them. The research methodology has illustrated by producing a steel rod of 3.175 millimeter diameter based on 180 samples collected from each machine. For statistical data value analysis, MS Excel 2016 and Minitab 18 were utilized. The results showed that lathe machine 1 and 2 had an equivalent inconsistency, but significantly different data spreads. Similarly, the throughput for machine 2 was higher with greater variability as compared to machine 1 while machine 3 encountered a low rate of throughput. On the basis of the fallouts of the analysis, the research team has officially suggested to substitute lathe machine 3.
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spelling doaj.art-1e8edc4cf6794933845fd1929e3ef8512022-12-22T02:43:08ZengLublin University of TechnologyAdvances in Sciences and Technology2080-40752299-86242019-06-0113215716710.12913/22998624/106240106240Statistical Analyses of Productivity Model Parameters for Process ImprovementZahid Hussain0Sarhad University of Science and Information Technology.Productivity modeling and validation is the assessment of data to establish scientific indications that a process is stable. The aim of this paper is to present a novel approach using statistical analyses for process improvement. This study highlights the process behavior of three different lathe machines unit with the intention to replace one of them. The research methodology has illustrated by producing a steel rod of 3.175 millimeter diameter based on 180 samples collected from each machine. For statistical data value analysis, MS Excel 2016 and Minitab 18 were utilized. The results showed that lathe machine 1 and 2 had an equivalent inconsistency, but significantly different data spreads. Similarly, the throughput for machine 2 was higher with greater variability as compared to machine 1 while machine 3 encountered a low rate of throughput. On the basis of the fallouts of the analysis, the research team has officially suggested to substitute lathe machine 3.http://www.journalssystem.com/astrj/Statistical-Analyses-of-Productivity-Model-Parameters-for-Process-Improvement-,106240,0,2.htmlstatistical analysesprocess modelingexperimental designprocess improvement
spellingShingle Zahid Hussain
Statistical Analyses of Productivity Model Parameters for Process Improvement
Advances in Sciences and Technology
statistical analyses
process modeling
experimental design
process improvement
title Statistical Analyses of Productivity Model Parameters for Process Improvement
title_full Statistical Analyses of Productivity Model Parameters for Process Improvement
title_fullStr Statistical Analyses of Productivity Model Parameters for Process Improvement
title_full_unstemmed Statistical Analyses of Productivity Model Parameters for Process Improvement
title_short Statistical Analyses of Productivity Model Parameters for Process Improvement
title_sort statistical analyses of productivity model parameters for process improvement
topic statistical analyses
process modeling
experimental design
process improvement
url http://www.journalssystem.com/astrj/Statistical-Analyses-of-Productivity-Model-Parameters-for-Process-Improvement-,106240,0,2.html
work_keys_str_mv AT zahidhussain statisticalanalysesofproductivitymodelparametersforprocessimprovement