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.

scholarly journals Leveraging Measurement System Analysis (MSA) to Improve Library Assessment: The Attribute Gage R&R

2009 ◽  
Vol 70 (6) ◽  
pp. 568-577 ◽  
Author(s):  
Sarah Anne Murphy ◽  
Sherry Engle Moeller ◽  
Jessica R. Page ◽  
Judith Cerqua ◽  
Mark Boarman
Keyword(s):  
Measurement System ◽  
System Analysis ◽  
Ohio State University ◽  
Assessment System ◽  
State University ◽  
Measurement Systems ◽  
Library Assessment ◽  
Measurement System Analysis ◽  
Ideal Tool ◽  
The Ohio State University

Measurement System Analysis (MSA) provides decision makers with a useful suite of tools for understanding whether variation should be attributed to an assessment system itself or the actual item or program being assessed. This paper introduces the Attribute Gage R&R, using a study of The Ohio State University Libraries’ mechanism for measuring quality in e-mail reference transactions as an example. An ideal tool for examining assessment programs that require subjective interpretation, the Attribute Gage R&R can assist library organizations in understanding their processes and validating the utility of data collected through their measurement systems.

scholarly journals Measurement system analysis by attribute, an effective tool to ensure the quality of the visual inspection process within an organization

2019 ◽  
Vol 290 ◽  
pp. 05004
Author(s):  
Carmen Simion
Keyword(s):  
Quality Assurance ◽  
Measurement System ◽  
Visual Inspection ◽  
System Analysis ◽  
Measurement Data ◽  
Quality Assurance Program ◽  
Measurement Systems ◽  
Measurement System Analysis ◽  
Inspection Process

A successful quality assurance program in any organization needs good measurement systems. The concept of measurement system refers to the manpower, machines, materials, methods and mother nature involved in obtaining measurements. Measurement system analysis (MSA) is a set of procedures which are used to determine the amount of variation due to the measurement system and if the measurement data are valid. Most problematic measurement system issues come when the results of a measurement system are qualitative values such as “pass” or “fail” (attribute data) rather than quantitative values (variable data). Because in industry many measurement systems deal with qualitative data, the assessment of the visual inspection process is a contemporary approach for quality assurance in most manufacturing organizations. The aim of this paper is to apply the MSA attribute study in a local company from the Sibiu region supplying products for automotive industry, to ensure the quality of the visual inspection process for one of their parts, respectively the exterior lighting projectors (Day Running Light, DRLs). The output data were analyzed using Minitab software. The conclusion was that the visual inspection process must be improved by appraisers training and developing panel with samples for the most common defect types of DRLs.

scholarly journals Comparison of Approaches to Gauge Repeatability and Reproducibility Analysis

2018 ◽  
Vol 183 ◽  
pp. 03015 ◽  
Author(s):  
Pavlína Mikulová ◽  
Jiří Plura
Keyword(s):  
Decision Making ◽  
Measurement System ◽  
System Analysis ◽  
Measurement Process ◽  
Good Basis ◽  
Process Improvements ◽  
Measurement Systems ◽  
New Approaches ◽  
Measurement System Analysis ◽  
Repeatability And Reproducibility

The paper presents approaches to Gauge Repeatability and Reproducibility (GRR) analysis. The aim of the paper is to compare three methods of GRR analysis - A&R method, ANOVA and EMP III. The first part gives insight to use of Measurement System Analysis (MSA) since properly planned and executed measurement systems can provide a good basis for decision making in companies. One of the new approaches will be presented that is different from the others described by AIAG or VDA guide. Compared to known A&R method and ANOVA, EMP III interpret the results in more detail. Beyond the information about variability of measurement process, the approach provides other useful parameters as attenuation of process signals, change of detecting error shift and an ability to track process improvements. Wider use of the results is illustrated by an example of measuring the dimensions of fasteners.

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.

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.

scholarly journals Application of Systems Engineering to Risk Management

2020 ◽  
Vol 9 (2) ◽  
pp. 1-23
Author(s):  
Brian J. Galli
Keyword(s):  
Complex System ◽  
Risk Management ◽  
Project Management ◽  
Systems Engineering ◽  
Design Science ◽  
System Engineering ◽  
System Thinking ◽  
Assessment Model ◽  
Success Rates ◽  
Research Gap

System engineering is an interdisciplinary field of engineering and engineering management that focuses on the design and management of the system. The system as a whole is the concern, which is followed by more technical aspects of the system, the design of everything, and the management of a complex system. Inspecting and making the system more efficient is the focus for system engineers. Additionally, risk management is being able to predict, evaluate, and solve risks that are going to happen or may happen in the future. There are three models that help system engineers with making a complex system look simpler and less frightening: the Vee, Spiral, and Waterfall models. While system thinking is a very important part of system engineering, there always has to be a collection of data to study for making decisions. As of now, there is no explanation in literature how these variables, their concepts, and models are beneficial to project management. This has created a research gap, so the study examined the most current variables, their concepts, and models in operations and project management. Furthermore, a design-science-investigate strategy was used to approve a valuable growth reveal for both reasonable and hypothetical application. As a result, an assessment model was generated to fill the research gap and to contribute to the engineering field through improved project success rates and team communication.

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