scholarly journals Sun Tracker Robotic Arm Optical Distance Measurement Evaluation at Different Positions Using Six Sigma Tools

2019 ◽  
pp. 54-60
Author(s):  
Roland Szabo ◽  
Aurel Gontean
Keyword(s):  
Measurement System ◽  
Six Sigma ◽  
Measurement Errors ◽  
System Analysis ◽  
Distance Measurement ◽  
Fine Tuning ◽  
Robotic Arm ◽  
Measurement System Analysis ◽  
Optical Distance ◽  
Repeated Test

This paper presents an optical distance evaluation solution, for a sun tracker robotic arm, with the help of Six Sigma. With the help of statistical tools any measurement system can be evaluated and a measurement system analysis (MSA) can be easily made. Like every measurement system, optical distance measurement can have errors. Six Sigma tools can evaluate the measurement system and can give useful data about its accuracy. Sometimes measurement system evaluation is done twice. First, initial tests are done, after some fine tuning and error correction is performed, and finally a repeated test is done, to show that the measurement errors were corrected.

scholarly journals Measurement System Analysis and System Thinking in Six Sigma

2020 ◽  
Vol 9 (1) ◽  
pp. 44-62
Author(s):  
Brian J. Galli
Keyword(s):  
Measurement System ◽  
Six Sigma ◽  
System Analysis ◽  
Design Science ◽  
System Thinking ◽  
Assessment Model ◽  
Success Rates ◽  
Reliable Measurement ◽  
Measurement Systems ◽  
Measurement System Analysis

This article investigated measurement system analysis and system thinking in Six Sigma, as well as the factors that influence these actions. If the measurement system being used to accumulate data from the process delivers dependable and accurate results, the measurement system analysis regulates it. Process improvement initiatives can be derailed by faulty measurement systems. Also, managers who have read faulty data can be misled into making wrong decisions. To collect trustworthy data, a reliable measurement system is established with this process. A method to assess an organization as a system and interpret its practices as a whole with Six Sigma is system thinking. Also, fixing a system as a whole helps to identify the real causes of issues and to know where to address them. This article addressed the contribution of these two methods to an overall success of an organization operating Six Sigma. The most current variables, concepts, and models were studied within operations and project management. By using a design-science-investigate strategy, this study approved of a valuable growth reveal for reasonable and hypothetical application. This study allowed us to generate a fitting assessment model that will fill the research void. Also, this study contributed to the engineering field with improved project success rates and team communication.

Six Sigma Applications: Enhancement Sigma Level towards Quality Improvement at Automative Company

2014 ◽  
Vol 1044-1045 ◽  
pp. 1780-1784
Author(s):  
A.W. Mohamad Ikbar ◽  
A. Allina ◽  
R.B. Rahmat ◽  
S. Yacob ◽  
H. Muhammad Nazif ◽  
...  
Keyword(s):  
Measurement System ◽  
Six Sigma ◽  
System Analysis ◽  
High Rate ◽  
Pareto Analysis ◽  
Sigma Level ◽  
Measurement System Analysis ◽  
Critical Defect ◽  
New Process ◽  
Six Sigma Methodology

Achieving high rate of performance is one of the aims in any organizations, especially under the pressure of competition. This paper presents the implementation of DMAIC Six Sigma Methodology in automotive industry. This project is focused on a critical product which is T605039-003. The objective of the project is to increase the sigma level of the process to 3.5σ. The project started with define phase which is problem identification. Pareto analysis was conducted to find out the critical defect for part T605039-003. As a result, defect of burr at thread was selected for further study. The existing process sigma level is 3.02σ. Measurement System Analysis (MSA) was carried out to validate the measurement system used. Next, the study continues with measure phase. GR&R study is conducted to verify the capability of the measurement equipment and from the result, most of the variation is due to the differences between parts and very little is due to measurement system error. This brings the project to the fourth phase which is the improve phase. A new process is developed to eliminate burr at thread from occurring. The percentage of reject is reduced to 1.59% whereas the sigma level is increased to 3.54σ.

A thorough Six Sigma DMAIC application for household appliance manufacturing systems

2020 ◽  
Vol 32 (6) ◽  
pp. 1683-1714
Author(s):  
Meryem Uluskan ◽  
Ezgi Pınar Oda
Keyword(s):  
Hypothesis Testing ◽  
Measurement System ◽  
Six Sigma ◽  
System Analysis ◽  
Value Added ◽  
Household Appliances ◽  
Content Type ◽  
Sigma Level ◽  
Measurement System Analysis ◽  
Door Panel

PurposeThe purpose of this study is to analyze door-panel alignment defects seen in built-in ovens manufactured in one household appliances company's plant. Alignment defects in oven door panel substantially affect aesthetics of the product which is an important aspect in driving customer preference and satisfaction. Therefore, this study aimed to increase the initial 3.1 sigma level of oven-manufacturing process to at least 4 sigma level by decreasing a particular door-panel alignment defect, which constituted 67.7 percent of the overall alignment defects.Design/methodology/approachThe goals were achieved through a structured Six Sigma implementation with lean element by utilizing various Six Sigma tools such as workflow, Pareto-analysis, measurement system analyses, control-charts, process capability analysis, cause-and effect-diagram and hypotheses tests. A non–value-added step was also eliminated through the lean approach.FindingsThrough Six Sigma implementation, the initial 3.1 sigma process performance level has been increased to 4.4 sigma level leading to substantial decrease in alignment defects.Originality/valueIn the quality management literature, not many papers directly deal with aesthetics and appearance problems of the products especially in the household appliances industry. Moreover, hypothesis testing is not frequently used in Six Sigma implementations in the literature. In addition to limited usage of hypothesis testing, very few studies conducted a thorough measurement system analysis. Considering these gaps in the Six Sigma literature, this study fills an important gap in research by implementing a detailed Six Sigma study, enhanced with hypothesis testing and a thorough measurement system analysis, on the aesthetics and appearance of the product.

Measurement system analysis on the external standard using an azeotropic mixture of ethylene glycol and detailed uncertainties

2021 ◽  
Author(s):  
Ahmad Syafiq Ahmad Hazmi ◽  
Zulina Abd Maurad ◽  
Mohd Azmil Mohd Noor ◽  
Nik Siti Mariam Nek Mat Din ◽  
Zainab Idris
Keyword(s):  
Ethylene Glycol ◽  
Measurement System ◽  
System Analysis ◽  
Azeotropic Mixture ◽  
Measurement System Analysis ◽  
External Standard

Effects of Within Part Variation on Measurement System Analysis

2012 ◽  
Author(s):  
Chittaranjan Sahay ◽  
Suhash Ghosh ◽  
Syed Mohammed Haja Mohideen
Keyword(s):  
Detailed Analysis ◽  
Measurement System ◽  
System Analysis ◽  
Primary Reason ◽  
Improved Method ◽  
System Error ◽  
Measurement System Analysis ◽  
Sources Of Variation ◽  
System Part ◽  
Part Variation

Inherent variation of the measurement system, part-to-part variation and variation arising due to the operator are considered to be the most common sources of variation in a measurement system analysis (MSA). Often errors due to within part variation are overlooked, or even worse, are assumed to be from the inherent variation of the measurement system. Understanding the sources of variation in a measurement system is important for all measurement applications. It becomes even more critical when the part used to evaluate a gage has a significant within part variation. This is an important source of measurement system error that the current procedures followed for MSA studies do not clearly or adequately address. The primary reason for this is a lack of awareness, and there are no clear guidelines on conducting a MSA study under these circumstances. A detailed analysis of the effects of within part variation on MSA is described in this paper. An improved method for conducting the MSA under these circumstances is also presented. This improved and more effective MSA takes all sources of variations into consideration.

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