Outliers Effect in Measurement Data for T-peel Adhesion Test using Robust Parameter Design

2014 ◽  
Vol 68 (4) ◽  
Author(s):  
Rozzeta Dolah ◽  
Zenichi Miyagi ◽  
Bo Bergman
Keyword(s):  
Optimum Condition ◽  
Linear Regression Analysis ◽  
Measurement Data ◽  
Parameter Design ◽  
Practical Case ◽  
Adhesion Test ◽  
Data Measurement ◽  
Peel Adhesion ◽  
The Impact

As many researches focused on application of robust design engineering in practical case study, very less concerned on the criticality to data measurement system in parameter design. This paper will emphasize on the importance to be critical to data obtained during experiment. The existence of outliers is often ignored and the impact overlooked, thus endanger the results by producing false alarm and giving completely wrong parameter setting. The optimum condition from the data that contains outliers is compared with the corrected data measurement. The finding presents the indication procedure on how to confirm whether the data is reliable or not for evaluation. The data is unreliable when two main indicators are detected. Firstly, the measurement data plot detects outlier through linear regression analysis as it does not belong on the linear line. Secondly, poor reproducibility presented by estimation and confirmation of signal-to-noise ratio. This failure affects the experimental design and lead to wrong optimum condition. T-peel adhesion test using orthogonal array L9 is done as a case study to elucidate the detection of outlier and outlier effect on optimum condition. 

scholarly journals Development of F-N-C-O Taguchi Method for Robust Measurement System Using a Case Study of T-Peel Test on Adhesion Strength

2020 ◽  
Vol 10 (18) ◽  
pp. 6203
Author(s):  
Rozzeta Dolah ◽  
Mohamad Zaki Hassan ◽  
Santhana Krishnan ◽  
Faizir Ramlie ◽  
Mohd Fadhil Md Din ◽  
...  
Keyword(s):  
Experimental Design ◽  
Optimum Condition ◽  
Taguchi Method ◽  
Measurement System ◽  
Peel Test ◽  
Test Method ◽  
Parameter Design ◽  
Practical Case ◽  
Noise Factors

A robust measurement system in the Taguchi Method as a testing method should be explained from the beginning of an experimental design until the application of the optimum condition. Measurement has always been described either by discussing the measurement concepts theoretically or demonstrating a case study on how the data measurement is being done practically. The distance between theory and practical case study that connects the test method used for measurement is always missing. In this paper, a case of T-peel test on strength measurement is used to reflect the robust measurement system, which includes the theory of experimental design together with methods to achieve the optimum condition. Seven control factors, two noise factors with one signal factor are used with orthogonal array L18. Not only the experiment results, but methodology on choosing the control, noise, and signal factors are described intensively. Therefore, the aims are to provide the procedure on evaluating optimum conditions, to analyze variability and optimization of T-peel test when measuring the strength, and to establish a mainstream flow to achieve high-quality experimental design for a robust measurement system. As a result, a robust measurement system that includes variation elimination is developed, which consists of four elements—F (function), N (noise), C (Control), and O (Optimization). The elements of the F-N-C-O system are connected to one another by the Plan-Do-Study-Act; P-D-S-A cycle. The results affect the existing measurement system by enlightening the black box of parameter design behind optimization results in Taguchi Method. Thus, the measurement is more convergent and obtain higher degree of confidence in parameter design.

Evaluating the impact of climate change on offshore structures design: A practical case study

2020 ◽  
Vol 94 ◽  
pp. 101992
Author(s):  
I.A. Mosquera-Mosquera ◽  
Marina L. Simão ◽  
Paulo M. Videiro ◽  
Luis V.S. Sagrilo
Keyword(s):  
Climate Change ◽  
Offshore Structures ◽  
Practical Case ◽  
Impact Of Climate Change ◽  
The Impact

scholarly journals The Impact of Marketing Mix on Perceived Value, Destination Image and Loyalty of Tourists (Case Study: Khalkhal City, Iran)

2017 ◽  
Vol 11 (11) ◽  
pp. 96 ◽  
Author(s):  
Saeideh Esmaili ◽  
Nafiseh Rezaei ◽  
Reza Abbasi ◽  
Samane Eskandari
Keyword(s):  
Linear Regression Analysis ◽  
Perceived Value ◽  
Perceived Quality ◽  
Marketing Mix ◽  
Destination Image ◽  
Product Pricing ◽  
Place Promotion ◽  
The Impact ◽  
The Relationship

This study examines the relationship between marketing mix with loyalty, perceived value, perceived quality and destination image. This is an applied descriptive study the aim of which is to determine the impact of marketing mix of services (Product, Pricing, Place, Promotion, People, Process and Physical Evidence) on perceived quality, loyalty, perceived value and destination image of the tourists in Khalkhal city, Iran. Population of the study included all the tourists visiting Khalkhal city from among whom 385 respondents participated in this study. A questionnaire was used for data collection. The conceptual model was analyzed based on linear regression analysis in SPSS software and model fitness was analyzed using LISERL software. Cronbach’s alpha of the questionnaire was equal to 0.791 that is higher than 0.7 and so reliability of the questionnaire was acceptable. Findings of the study showed that promotion, people and physical evidences had the highest effect on perceived value, destination image and perceived quality. Finally, some suggestions were provided for the managers of the tourism destinations to improve the perceived value and quality and also develop a proper destination image.

scholarly journals The impact of location of 3D printers and robots on the supply chain

2021 ◽  
Vol 9 (2) ◽  
pp. 489-500 ◽  
Author(s):  
Shunichi Ohmori
Keyword(s):  
Supply Chain ◽  
New Technologies ◽  
Practical Case ◽  
Inventory Cost ◽  
Total Cost ◽  
Advantages And Disadvantages ◽  
3D Printers ◽  
The Impact ◽  
Installation Cost

3D printers and robots (3DPR) are new technologies that may disrupt traditional supply chains.The location of the manufacturing place can be moved toward more customer side in the supply chain, which brings both agility and the ability of customization.The impact is yet to be examined quantitatively. In this paper we study the location of 3DPR in the supply chain. We present and compare three models of supply chains: Traditional supply chain; 3DPR at warehouse; 3DPR at shop. The semodels are compared by the equipment installation cost, the production cost,and inventory cost for safety-stock. The study presents a practical case study motivated from a real-world apparel company, discusses the three models under various parameter settings, comparing the obtained total cost and discovers the advantages and disadvantages.

scholarly journals Integrating of Lean Six Sigma Methodology and Ergonomics Principles for Improvement in an Assembly Industrial Workstation

2019 ◽  
Vol 25 (9) ◽  
pp. 12-29
Author(s):  
Iman Qassin Alsaffar ◽  
Hussein Salim Ketan
Keyword(s):  
Six Sigma ◽  
Measurement Data ◽  
Value Added ◽  
Lean Six Sigma ◽  
Work Condition ◽  
Research Plan ◽  
Six Sigma Methodology ◽  
The Impact ◽  
Selection Of

Lean Six Sigma methodologies and Ergonomics principles are the main pillars of this work given their importance in the implementation of continuous improvement in assembly workstations design. When looking at the introduction of the Ergonomics that has been affected by the integration of the Lean and Six Sigma for improvements, it is necessary to understand why these methodologies belong to each other and how they can be handled in the industrial field. The aim of the work seeks towards the impact of analyzing the integration of the basics tools of Lean and Six Sigma that enhanced Ergonomics highlighted the importance of using the priority matrix in the selection of the priority criteria. Two models of a system based on building a knowledge base were used to collect and record measurement data from information and facts. The first is the "Process-flow vs. Time Efficiency" relates to "value added and non-value added" activities. The second is the "Work-Condition vs. Ergonomics Effects", which focuses on postural movements of the worker. These integrative models are represented by the application of a system called "LSS + ERGO System". The appropriate state that can deal with this situation is the use of Smart Priority Matrices that will prove to be a useful tool. This method (tool) is possible to understand what actions are potential and important to be implemented, according to the track that the research will be taken. The results show that the improvement suggestions existing in the Improve stage focused on the opportunities that weigh larger than the average (10%)  obtain the acceptable procedures for optimization proposals can be identified as the research plan is presented for implementation. The case study has been implemented in the General Company for Hydraulic Industries/ Damper Assembly Factory.  

scholarly journals Influence of variability in the amount of inflow wastewater pollution concentration in small sewer system (case study)

2019 ◽  
Vol 86 ◽  
pp. 00028
Author(s):  
Karolina Kurek ◽  
Piotr Bugajski ◽  
Agnieszka Operacz ◽  
Paulina Śliz ◽  
Krzysztof Jóźwiakowski
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Linear Regression Analysis ◽  
Treatment Plant ◽  
Pollution Indicators ◽  
Hydraulic Load ◽  
Wastewater Pollution ◽  
The Impact ◽  
Raw Wastewater

The aim of study was the analyze of the impact of hydraulic load on the changes in the concentration of pollution indicators in raw sewage in years 2009-2014 in the small wastewater treatment plant. Qualitative analysis for raw sewage was included three parameters: total suspension solid, BOD and COD. The characteristics relation between the concentration of pollution indicators in raw sewage (depend variable) from the hydraulic load(independent variable) was presented by the Pearson linear correlation. In the 6 year study period were collected 32 samples of raw wastewater. Based on the result of linear regression analysis, showed that along with the increasing amount of wastewater in the sewer decrease the concentration of pollutions in raw wastewater. For total suspension solid, increase by 1 m3 of quantity of raw sewage inflowing to wastewater treatment plant, causes a decrease in the concentration of this indicator by 0,53 g·m-3. For the both organic indicators (BOD and COD), the was found that an increase of 1 m3 the amount of raw sewage inflowing to wastewater treatment plant, caused a decrease of 0,75 gO2·m-3 BOD value and 0,66 gO2·m-3 COD value in raw sewage.

scholarly journals Framework for a Systematic Parametric Analysis to Maximize Energy Output of PV Modules Using an Experimental Design

2019 ◽  
Vol 11 (10) ◽  
pp. 2992 ◽  
Author(s):  
Mohammad K. Najjar ◽  
Eduardo Linhares Qualharini ◽  
Ahmed W. A. Hammad ◽  
Dieter Boer ◽  
Assed Haddad
Keyword(s):  
Experimental Design ◽  
Parametric Analysis ◽  
Standard Procedure ◽  
Linear Regression Analysis ◽  
Energy Output ◽  
Climate Data ◽  
Energy Productivity ◽  
Photovoltaic Modules ◽  
The Impact

Use of photovoltaic modules in buildings has been reported to be an effective tool in managing energy consumption. The novelty in the research herein is in a framework that integrates different performance parameters through the use of an experimental design to expect all variables via linear regression analysis. An emphasis is placed on making the method readily available to practitioners and experts in the area of renewable energy, using standard procedure and easily accessible software. This work empowers the decision-making process and sustainability through a parametric analysis of the installation of photovoltaic modules to increase their energy output towards nearly zero energy buildings. A case study of a group of photovoltaic modules is examined in four cities with different locations and climate data to validate the proposed framework. Results demonstrate that the installation of photovoltaic modules on the mounted roof is better than elevations, and the vertical installation of modules is the worst possible inclination to maximize the yielded energy. The impact of inclination is higher than orientation in influencing the energy productivity of photovoltaic modules. This work specifies integrating such modules mounted on roofs and elevations towards the equator line, by a proportion of inclination/latitude equal to 85 ± 3%, to maximize the energy output.

scholarly journals STEPS TO IMPROVE LOGBOOK COMPLIANCE FOR DIESEL REBATES: A PROCESS-DRIVEN APPROACH

2021 ◽  
Vol 32 (2) ◽  
pp. 122-134
Author(s):  
Refilwe Ngwaku ◽  
Janine Pascoe ◽  
Jan Vosloo ◽  
Jean van Laar
Keyword(s):  
Data Quality ◽  
South African ◽  
Measurement Data ◽  
Mining Industry ◽  
Quality Data ◽  
The South ◽  
Mining Operations ◽  
Data Reporting ◽  
Data Measurement

Diesel accounts for up to 46 per cent of mining operations costs. In 2001, the Customs and Excise Act was amended to allow rebates for qualifying diesel users. The rebate aims to protect the international competitiveness of the South African mining industry. One of the key requirements for the diesel rebate is to submit logbooks that are compliant; however, the mining industry is struggling to maintain accurate logbook verification. Failure to comply with logbook requirements has prevented eligible mines from benefitting from the rebate. This paper presents a stepwise methodology to support the values reported in logbooks and submitted to the South African Revenue Service (SARS). The methodology focuses on four issues of data quality: data measurement, data verification, data traceability, and data reporting. With this approach, 151 errors were identified and corrected in a case study. A compliant logbook is shown to be the first step towards improved diesel management.

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