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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Format: | Article |
Language: | English |
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Lublin University of Technology
2019-06-01
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Series: | Advances in Sciences and Technology |
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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. |
first_indexed | 2024-04-13T14:32:23Z |
format | Article |
id | doaj.art-1e8edc4cf6794933845fd1929e3ef851 |
institution | Directory Open Access Journal |
issn | 2080-4075 2299-8624 |
language | English |
last_indexed | 2024-04-13T14:32:23Z |
publishDate | 2019-06-01 |
publisher | Lublin University of Technology |
record_format | Article |
series | Advances in Sciences and Technology |
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 |