This document discusses the application of seven quality control tools - check sheet, histogram, Pareto chart, fishbone diagram, control chart, flowchart, and scatter diagram - to analyze defects in a construction industry case study. Data was collected using a check sheet and showed cracks on the sides were the most common defect. A histogram and Pareto chart further analyzed the defect data, identifying cracks and dimensional errors as primary issues. A fishbone diagram explored potential causes of cracks. Control charts monitored dimensional errors over time. The flowchart mapped the production process, and a scatter diagram found no correlation between cracks and temperature. In conclusion, these seven tools helped identify, analyze, and improve quality issues in the construction industry case study.
Quality Improvement Of Fan Manufacturing Industry By Using Basic Seven Tools ...IJERA Editor
This document summarizes a case study conducted at Fecto Fan Company in Gujranwala, Pakistan to address quality issues in their fan manufacturing process. The researcher implemented the basic seven quality tools - flow chart, check sheet, histogram, Pareto chart, cause-and-effect diagram, scatter diagram, and control charts. These tools helped identify the major defects causing 80% of issues, determine their root causes, remove the defects, and ensure the manufacturing process is now under statistical control. Implementing quality tools through the DMAIC methodology improved the process and reduced defects.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
IMPLEMENTATION OF STATISTICAL PROCESS CONTROL TOOL IN AN AUTOMOBILE MANUFACTU...Angela Williams
This document discusses the implementation of statistical process control (SPC) tools in an automotive manufacturing unit to reduce defects and costs. Only two main SPC techniques, cause and effect diagrams and control charts, were implemented. The work focuses on defects in a clamp coining tool manufacturing process. Data was collected on rejection rates from January to May 2015, showing a rising trend. Cause and effect analysis using the four M's (man, machine, material, method) identified several root causes. After implementing SPC tools to address the causes, the rejection rate decreased from 9.1% to 5%, reducing costs.
IRJET- A Survey: Quality Control Tool in Auto Parts IndustryIRJET Journal
This document summarizes a survey on quality control tools used in the auto parts industry. It discusses that quality control using statistical methods is important for reducing costs and improving quality in modern industries. The seven basic quality control tools are described, including cause-and-effect diagrams, check sheets, control charts, histograms, Pareto charts, scatter plots, and stratification. An example problem of door noise in trucks is presented and how quality tools like Ishikawa diagrams and histograms could help reduce the noise by 7%. The document concludes that quality control tools are effective for improving productivity and quality in automobile manufacturing.
Use of Seven Quality Tools to Improve Quality and Productivity in Industryijsrd.com
This document discusses the use of seven quality tools (7 QC tools) to improve quality in industry. It describes each of the 7 tools: check sheets, flow charts, histograms, Pareto charts, cause-and-effect diagrams, scatter diagrams, and control charts. These tools can be used to collect and analyze quality data to identify problems, determine root causes of issues, and monitor processes over time to ensure statistical control. The document asserts that continuous use of these simple quality control tools can improve product quality, enhance employee skills at problem-solving, and help create a quality culture within an organization.
Statistical quality control applied industrial and manufacturing operations. Case study regarding the use of these tools. Description of statistical tools used in quality control and inspection.
After World War II, Japan adopted quality as an economic strategy and selected seven statistical tools to analyze quality problems and drive continuous improvement. The seven tools - Pareto charts, cause-and-effect diagrams, histograms, control charts, scatter plots, check sheets, and flow charts - can identify up to 95% of issues. Each tool has a specific purpose, such as prioritizing problems with Pareto charts or identifying relationships between variables with scatter plots. Using these tools, Japanese companies were able to dramatically improve quality and economic performance.
Quality Improvement Of Fan Manufacturing Industry By Using Basic Seven Tools ...IJERA Editor
This document summarizes a case study conducted at Fecto Fan Company in Gujranwala, Pakistan to address quality issues in their fan manufacturing process. The researcher implemented the basic seven quality tools - flow chart, check sheet, histogram, Pareto chart, cause-and-effect diagram, scatter diagram, and control charts. These tools helped identify the major defects causing 80% of issues, determine their root causes, remove the defects, and ensure the manufacturing process is now under statistical control. Implementing quality tools through the DMAIC methodology improved the process and reduced defects.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
IMPLEMENTATION OF STATISTICAL PROCESS CONTROL TOOL IN AN AUTOMOBILE MANUFACTU...Angela Williams
This document discusses the implementation of statistical process control (SPC) tools in an automotive manufacturing unit to reduce defects and costs. Only two main SPC techniques, cause and effect diagrams and control charts, were implemented. The work focuses on defects in a clamp coining tool manufacturing process. Data was collected on rejection rates from January to May 2015, showing a rising trend. Cause and effect analysis using the four M's (man, machine, material, method) identified several root causes. After implementing SPC tools to address the causes, the rejection rate decreased from 9.1% to 5%, reducing costs.
IRJET- A Survey: Quality Control Tool in Auto Parts IndustryIRJET Journal
This document summarizes a survey on quality control tools used in the auto parts industry. It discusses that quality control using statistical methods is important for reducing costs and improving quality in modern industries. The seven basic quality control tools are described, including cause-and-effect diagrams, check sheets, control charts, histograms, Pareto charts, scatter plots, and stratification. An example problem of door noise in trucks is presented and how quality tools like Ishikawa diagrams and histograms could help reduce the noise by 7%. The document concludes that quality control tools are effective for improving productivity and quality in automobile manufacturing.
Use of Seven Quality Tools to Improve Quality and Productivity in Industryijsrd.com
This document discusses the use of seven quality tools (7 QC tools) to improve quality in industry. It describes each of the 7 tools: check sheets, flow charts, histograms, Pareto charts, cause-and-effect diagrams, scatter diagrams, and control charts. These tools can be used to collect and analyze quality data to identify problems, determine root causes of issues, and monitor processes over time to ensure statistical control. The document asserts that continuous use of these simple quality control tools can improve product quality, enhance employee skills at problem-solving, and help create a quality culture within an organization.
Statistical quality control applied industrial and manufacturing operations. Case study regarding the use of these tools. Description of statistical tools used in quality control and inspection.
After World War II, Japan adopted quality as an economic strategy and selected seven statistical tools to analyze quality problems and drive continuous improvement. The seven tools - Pareto charts, cause-and-effect diagrams, histograms, control charts, scatter plots, check sheets, and flow charts - can identify up to 95% of issues. Each tool has a specific purpose, such as prioritizing problems with Pareto charts or identifying relationships between variables with scatter plots. Using these tools, Japanese companies were able to dramatically improve quality and economic performance.
Production and Quality Tools: The Basic Seven Quality ToolsDr. John V. Padua
This document describes seven basic quality tools: flow charts, Ishikawa diagrams, checklists, Pareto charts, histograms, scattergrams, and control charts. It provides examples and explanations of how each tool can be used to identify problems, collect relevant data, determine causes and effects, and monitor processes to drive quality improvements. Specifically, flow charts map process steps, Ishikawa diagrams identify potential causes of defects, checklists gather data on defect categories, and Pareto charts, histograms, scattergrams, and control charts analyze data for insights. These seven tools can be applied to solve the vast majority of quality issues in an organization.
Today’s competitive environment has, lower manufacturing cost, more productivity in less time, high-quality product, defect-free operation are required to follow to every foundryman. For the improvement of products quality, there are diff-diff quality tools used in various review papers. Here I am going to review these papers and identify the different way of uses of those tools in manufacturing industries to increase the quality of the product. There are so many defects in the manufacturing process and these defects directly affect productivity, profitability and quality level of organization. This study is aimed to review the research work made by several researchers and attempt to get a technical solution for the various defects and to improve the entire process of the manufacturing
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This document summarizes a study on reducing breakdowns in a manufacturing industry through root cause analysis. The study analyzed breakdown data from the company over 8 months and identified the major breakdowns causing production losses as issues with the edge roller and vulcanization barrel. A cause-and-effect analysis identified specific root causes, such as belt deterioration and improper alignment checks for edge roller breakdowns. The analysis also identified improper pinion tightening as a root cause of chain slipping. Recommendations included using a higher grade belt for the edge roller and implementing proper alignment checking and a torque wrench for tightening to address the root causes and reduce breakdowns. Parallel improvements, such as replacing the edge roller's belt and pulley system with
Implementation of quality improvement tools in brass industry to improve qual...Alexander Decker
This document discusses the implementation of quality improvement tools in the brass industry to improve quality and enhance productivity. It begins by introducing the significance of quality and increased productivity at affordable costs. It then describes the methodology used, which involved selecting products for analysis, collecting data, performing defect analysis with Pareto charts, developing control charts, and analyzing causes of defects with cause-and-effect diagrams. For brass strips and GMCS strips, the analysis revealed high initial rejection rates of 15% and 21%, which were then reduced to 8-10% and 12-14% respectively by addressing root causes identified with the quality tools. The results showed improved quality, increased savings, enhanced productivity and reduced waste.
This document provides an overview of various statistical process control tools including Pareto diagrams, cause-and-effect diagrams, check sheets, process flow diagrams, scatter diagrams, histograms, and control charts. It describes how each tool is constructed and how it can be used to monitor processes, identify sources of variation, and signal when corrective action needs to be taken to improve quality. The overall aim of these tools is to help organizations understand, control, and improve their processes.
This presentation discusses quality control tools including check sheets, flow charts, histograms, cause and effect diagrams, Pareto charts, scatter diagrams, and control charts. It provides examples and guidelines for when and how to use each tool, as well as their benefits. The seven tools are effective for problem solving, process measurement and continual improvement in quality control.
The document presents information on control charts including what they are, their purpose and advantages, types of control charts, and how to construct and interpret them. Control charts are graphical representations that detect variations in a production process and warn if quality characteristics depart from specified tolerance limits. The main types discussed are X-bar and R-bar charts, with X-bar charts showing changes in the process average and R-bar charts controlling process variability. A case study example on using control charts in the hospitality industry is also included.
The document discusses 7 quality control tools used to identify, analyze, and resolve problems in a systematic manner. The tools include check sheets, histograms, Pareto charts, cause-and-effect diagrams, scatter plots, defect concentration diagrams, and control charts. These simple but powerful tools can help solve day-to-day work problems and identify solutions by collecting and analyzing process data.
The document discusses 7 quality control tools used to identify, analyze, and resolve problems in a systematic manner. The tools include check sheets, histograms, Pareto charts, cause-and-effect diagrams, scatter plots, defect concentration diagrams, and control charts. These simple but powerful tools can help solve day-to-day work problems and identify solutions by collecting and analyzing process data.
This document discusses traditional quality tools and total quality management (TQM) in the IT industry. It describes several traditional quality tools including flowcharts, check sheets, Pareto charts, control charts, histograms, scatter diagrams, and cause-and-effect diagrams. It then discusses how TQM services help ensure reliable information systems in the IT industry through tools like ERP, SAP, and Python. The document uses Tata Consultancy Services (TCS) as a case study, outlining how TCS implemented quality control procedures and maturity models to achieve continuous process improvement.
This document provides information about BTech quality management. It discusses the importance of quality management courses for engineering students. It outlines the typical paper pattern for a quality management course, including section topics and frequently asked questions. It also lists and describes several commonly used quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Finally, it provides additional related terms about quality management systems that can be downloaded as PDFs.
Quality management can be measured using various tools and techniques. Statistical process control charts track variations in a process and identify whether variations are due to common or special causes. Flowcharts visually map out processes to look for inefficiencies. Pareto charts identify the most common problems affecting 80% of issues. Balanced scorecards provide a holistic view of business performance across financial, customer, process, and learning/growth metrics. Employees also help identify quality issues through their direct interactions with customers.
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity
The document provides an overview of the history of quality management from medieval times to the present. It traces the evolution from inspecting finished products to preventing defects through statistical process control and total quality management approaches developed in the 1940s. Today, quality management aims to ensure customer satisfaction through standards, guidelines and various tools and continues to be important for organizations worldwide.
The document discusses quality management in projects. It provides definitions and explanations of key quality management concepts including quality management processes, tools, and strategies. Specific quality management tools discussed include check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms. The document emphasizes that quality should be planned into projects from the beginning through prevention rather than just inspected, and that customer satisfaction is key.
The 7QC tools are fundamental instruments used in Japanese manufacturing since the 1960s to improve quality. They are statistical techniques that help analyze production processes, identify problems, control quality fluctuations, and provide solutions. The 7 tools are check sheets, Pareto charts, cause-and-effect diagrams, histograms, scatter diagrams, control charts, and flowcharts. They organize collected data visually and help identify specific issues.
Seven tools of quality control.slideshareraiaryan448
7 tools of quality control help identify potential problem root cause and then target them for improvements and process optimization. These are widely used in all kind of manufacturing industries along with service industry as well.
IMPLEMENTATION OF LEAN MANUFACTURING TOOLS FOR IMPROVING PRODUCTIVITY: A CASE...Journal For Research
Present research focuses on the quality improvement at Himachal Pradesh based manufacturing unit a precision machining company for two and three wheeler components. The objective of present research focuses on current Quality Management System (QMS) implemented and to identify the current quality problems that the company faces and to study. Present research is divided into two parts Ethnographic and Qualitative research design. Recommendations and solutions to the problem faced will be suggested to the heads and supervisors, to improve the current quality system, as well as increase efficiency and reduce non conformities. This research only focuses on problem faced in the production section of the company. In the ethnographic part study is focused on plunging of workers and qualitative part research is focused on various causes of rejection. Lean manufacturing tools is considered as the pilot project to solve the problem. Various tools were used such as Multiple activity charts, Pareto chart, PDCA cycles, cause and effect diagram and control chart. With the help of lean tools, plunging of workers come to zero, better working environment is provided to workers, rejection has reduced o 12000ppm from 29000ppm and reduced the loss of organization from 4.02% to 2.79%. Retention of worker saves the training cost. Tool life also increased.
Statistical Process Control & Operations Managementajithsrc
This document discusses statistical process control and quality management techniques. It defines key terms like chance causes, assignable causes, control charts, attributes and variables. It also describes different types of control charts like Pareto charts, fishbone diagrams, mean charts, range charts, p-charts and c-charts. The document provides examples of how to construct and interpret these different control charts. It also discusses acceptance sampling and how to construct an operating characteristic curve.
The Most Inspiring Entrepreneurs to Follow in 2024.pdfthesiliconleaders
In a world where the potential of youth innovation remains vastly untouched, there emerges a guiding light in the form of Norm Goldstein, the Founder and CEO of EduNetwork Partners. His dedication to this cause has earned him recognition as a Congressional Leadership Award recipient.
Production and Quality Tools: The Basic Seven Quality ToolsDr. John V. Padua
This document describes seven basic quality tools: flow charts, Ishikawa diagrams, checklists, Pareto charts, histograms, scattergrams, and control charts. It provides examples and explanations of how each tool can be used to identify problems, collect relevant data, determine causes and effects, and monitor processes to drive quality improvements. Specifically, flow charts map process steps, Ishikawa diagrams identify potential causes of defects, checklists gather data on defect categories, and Pareto charts, histograms, scattergrams, and control charts analyze data for insights. These seven tools can be applied to solve the vast majority of quality issues in an organization.
Today’s competitive environment has, lower manufacturing cost, more productivity in less time, high-quality product, defect-free operation are required to follow to every foundryman. For the improvement of products quality, there are diff-diff quality tools used in various review papers. Here I am going to review these papers and identify the different way of uses of those tools in manufacturing industries to increase the quality of the product. There are so many defects in the manufacturing process and these defects directly affect productivity, profitability and quality level of organization. This study is aimed to review the research work made by several researchers and attempt to get a technical solution for the various defects and to improve the entire process of the manufacturing
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This document summarizes a study on reducing breakdowns in a manufacturing industry through root cause analysis. The study analyzed breakdown data from the company over 8 months and identified the major breakdowns causing production losses as issues with the edge roller and vulcanization barrel. A cause-and-effect analysis identified specific root causes, such as belt deterioration and improper alignment checks for edge roller breakdowns. The analysis also identified improper pinion tightening as a root cause of chain slipping. Recommendations included using a higher grade belt for the edge roller and implementing proper alignment checking and a torque wrench for tightening to address the root causes and reduce breakdowns. Parallel improvements, such as replacing the edge roller's belt and pulley system with
Implementation of quality improvement tools in brass industry to improve qual...Alexander Decker
This document discusses the implementation of quality improvement tools in the brass industry to improve quality and enhance productivity. It begins by introducing the significance of quality and increased productivity at affordable costs. It then describes the methodology used, which involved selecting products for analysis, collecting data, performing defect analysis with Pareto charts, developing control charts, and analyzing causes of defects with cause-and-effect diagrams. For brass strips and GMCS strips, the analysis revealed high initial rejection rates of 15% and 21%, which were then reduced to 8-10% and 12-14% respectively by addressing root causes identified with the quality tools. The results showed improved quality, increased savings, enhanced productivity and reduced waste.
This document provides an overview of various statistical process control tools including Pareto diagrams, cause-and-effect diagrams, check sheets, process flow diagrams, scatter diagrams, histograms, and control charts. It describes how each tool is constructed and how it can be used to monitor processes, identify sources of variation, and signal when corrective action needs to be taken to improve quality. The overall aim of these tools is to help organizations understand, control, and improve their processes.
This presentation discusses quality control tools including check sheets, flow charts, histograms, cause and effect diagrams, Pareto charts, scatter diagrams, and control charts. It provides examples and guidelines for when and how to use each tool, as well as their benefits. The seven tools are effective for problem solving, process measurement and continual improvement in quality control.
The document presents information on control charts including what they are, their purpose and advantages, types of control charts, and how to construct and interpret them. Control charts are graphical representations that detect variations in a production process and warn if quality characteristics depart from specified tolerance limits. The main types discussed are X-bar and R-bar charts, with X-bar charts showing changes in the process average and R-bar charts controlling process variability. A case study example on using control charts in the hospitality industry is also included.
The document discusses 7 quality control tools used to identify, analyze, and resolve problems in a systematic manner. The tools include check sheets, histograms, Pareto charts, cause-and-effect diagrams, scatter plots, defect concentration diagrams, and control charts. These simple but powerful tools can help solve day-to-day work problems and identify solutions by collecting and analyzing process data.
The document discusses 7 quality control tools used to identify, analyze, and resolve problems in a systematic manner. The tools include check sheets, histograms, Pareto charts, cause-and-effect diagrams, scatter plots, defect concentration diagrams, and control charts. These simple but powerful tools can help solve day-to-day work problems and identify solutions by collecting and analyzing process data.
This document discusses traditional quality tools and total quality management (TQM) in the IT industry. It describes several traditional quality tools including flowcharts, check sheets, Pareto charts, control charts, histograms, scatter diagrams, and cause-and-effect diagrams. It then discusses how TQM services help ensure reliable information systems in the IT industry through tools like ERP, SAP, and Python. The document uses Tata Consultancy Services (TCS) as a case study, outlining how TCS implemented quality control procedures and maturity models to achieve continuous process improvement.
This document provides information about BTech quality management. It discusses the importance of quality management courses for engineering students. It outlines the typical paper pattern for a quality management course, including section topics and frequently asked questions. It also lists and describes several commonly used quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Finally, it provides additional related terms about quality management systems that can be downloaded as PDFs.
Quality management can be measured using various tools and techniques. Statistical process control charts track variations in a process and identify whether variations are due to common or special causes. Flowcharts visually map out processes to look for inefficiencies. Pareto charts identify the most common problems affecting 80% of issues. Balanced scorecards provide a holistic view of business performance across financial, customer, process, and learning/growth metrics. Employees also help identify quality issues through their direct interactions with customers.
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity
The document provides an overview of the history of quality management from medieval times to the present. It traces the evolution from inspecting finished products to preventing defects through statistical process control and total quality management approaches developed in the 1940s. Today, quality management aims to ensure customer satisfaction through standards, guidelines and various tools and continues to be important for organizations worldwide.
The document discusses quality management in projects. It provides definitions and explanations of key quality management concepts including quality management processes, tools, and strategies. Specific quality management tools discussed include check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms. The document emphasizes that quality should be planned into projects from the beginning through prevention rather than just inspected, and that customer satisfaction is key.
The 7QC tools are fundamental instruments used in Japanese manufacturing since the 1960s to improve quality. They are statistical techniques that help analyze production processes, identify problems, control quality fluctuations, and provide solutions. The 7 tools are check sheets, Pareto charts, cause-and-effect diagrams, histograms, scatter diagrams, control charts, and flowcharts. They organize collected data visually and help identify specific issues.
Seven tools of quality control.slideshareraiaryan448
7 tools of quality control help identify potential problem root cause and then target them for improvements and process optimization. These are widely used in all kind of manufacturing industries along with service industry as well.
IMPLEMENTATION OF LEAN MANUFACTURING TOOLS FOR IMPROVING PRODUCTIVITY: A CASE...Journal For Research
Present research focuses on the quality improvement at Himachal Pradesh based manufacturing unit a precision machining company for two and three wheeler components. The objective of present research focuses on current Quality Management System (QMS) implemented and to identify the current quality problems that the company faces and to study. Present research is divided into two parts Ethnographic and Qualitative research design. Recommendations and solutions to the problem faced will be suggested to the heads and supervisors, to improve the current quality system, as well as increase efficiency and reduce non conformities. This research only focuses on problem faced in the production section of the company. In the ethnographic part study is focused on plunging of workers and qualitative part research is focused on various causes of rejection. Lean manufacturing tools is considered as the pilot project to solve the problem. Various tools were used such as Multiple activity charts, Pareto chart, PDCA cycles, cause and effect diagram and control chart. With the help of lean tools, plunging of workers come to zero, better working environment is provided to workers, rejection has reduced o 12000ppm from 29000ppm and reduced the loss of organization from 4.02% to 2.79%. Retention of worker saves the training cost. Tool life also increased.
Statistical Process Control & Operations Managementajithsrc
This document discusses statistical process control and quality management techniques. It defines key terms like chance causes, assignable causes, control charts, attributes and variables. It also describes different types of control charts like Pareto charts, fishbone diagrams, mean charts, range charts, p-charts and c-charts. The document provides examples of how to construct and interpret these different control charts. It also discusses acceptance sampling and how to construct an operating characteristic curve.
The Most Inspiring Entrepreneurs to Follow in 2024.pdfthesiliconleaders
In a world where the potential of youth innovation remains vastly untouched, there emerges a guiding light in the form of Norm Goldstein, the Founder and CEO of EduNetwork Partners. His dedication to this cause has earned him recognition as a Congressional Leadership Award recipient.
Zodiac Signs and Food Preferences_ What Your Sign Says About Your Tastemy Pandit
Know what your zodiac sign says about your taste in food! Explore how the 12 zodiac signs influence your culinary preferences with insights from MyPandit. Dive into astrology and flavors!
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NIMA2024 | De toegevoegde waarde van DEI en ESG in campagnes | Nathalie Lam |...BBPMedia1
Nathalie zal delen hoe DEI en ESG een fundamentele rol kunnen spelen in je merkstrategie en je de juiste aansluiting kan creëren met je doelgroep. Door middel van voorbeelden en simpele handvatten toont ze hoe dit in jouw organisatie toegepast kan worden.
4 Benefits of Partnering with an OnlyFans Agency for Content Creators.pdfonlyfansmanagedau
In the competitive world of content creation, standing out and maximising revenue on platforms like OnlyFans can be challenging. This is where partnering with an OnlyFans agency can make a significant difference. Here are five key benefits for content creators considering this option:
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[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This presentation is a curated compilation of PowerPoint diagrams and templates designed to illustrate 20 different digital transformation frameworks and models. These frameworks are based on recent industry trends and best practices, ensuring that the content remains relevant and up-to-date.
Key highlights include Microsoft's Digital Transformation Framework, which focuses on driving innovation and efficiency, and McKinsey's Ten Guiding Principles, which provide strategic insights for successful digital transformation. Additionally, Forrester's framework emphasizes enhancing customer experiences and modernizing IT infrastructure, while IDC's MaturityScape helps assess and develop organizational digital maturity. MIT's framework explores cutting-edge strategies for achieving digital success.
These materials are perfect for enhancing your business or classroom presentations, offering visual aids to supplement your insights. Please note that while comprehensive, these slides are intended as supplementary resources and may not be complete for standalone instructional purposes.
Frameworks/Models included:
Microsoft’s Digital Transformation Framework
McKinsey’s Ten Guiding Principles of Digital Transformation
Forrester’s Digital Transformation Framework
IDC’s Digital Transformation MaturityScape
MIT’s Digital Transformation Framework
Gartner’s Digital Transformation Framework
Accenture’s Digital Strategy & Enterprise Frameworks
Deloitte’s Digital Industrial Transformation Framework
Capgemini’s Digital Transformation Framework
PwC’s Digital Transformation Framework
Cisco’s Digital Transformation Framework
Cognizant’s Digital Transformation Framework
DXC Technology’s Digital Transformation Framework
The BCG Strategy Palette
McKinsey’s Digital Transformation Framework
Digital Transformation Compass
Four Levels of Digital Maturity
Design Thinking Framework
Business Model Canvas
Customer Journey Map
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Starting a business is like embarking on an unpredictable adventure. It’s a journey filled with highs and lows, victories and defeats. But what if I told you that those setbacks and failures could be the very stepping stones that lead you to fortune? Let’s explore how resilience, adaptability, and strategic thinking can transform adversity into opportunity.
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The Genesis of BriansClub.cm Famous Dark WEb PlatformSabaaSudozai
BriansClub.cm, a famous platform on the dark web, has become one of the most infamous carding marketplaces, specializing in the sale of stolen credit card data.
2. 2
SUBJECT: METROLOGY AND QUALITY CONTROL
IM-213
DEPARTMENT OF INDUSTRIAL AND
MANUFACTURING ENGINEERING
TABLE OF CONTENTS:
INTRODUCTION (PG 3)
COLLECTION OF DATA (PG 5)
HISTOGRAM OF DEFECTS (PG 8)
PARETO CHART (PG 8)
FISH BONE DIAGRAM (PG 9)
CONTROL CHART (PG 11)
4. 4
INTRODUCTION:
Implementation of QC tools for process improvement in construction industry
Being a continuous process, quality improvement seized the use of the quality control tools. Quality is considered
an effective factor in today’s competitive environment. Decreasing the wastage, reaching the high expectations
of the customers, reducing the costs, taking various steps towards improvement and achieving the development
of the products are the main results of the implementation of the seven basic quality control tools. The main aim
of this study is to investigate the successful application of the seven basic quality control tools in the construction
industry. A research was carried out in a Cleopatra Group Company. Cleopatra Group is able to meet all the
requirements of the ceramic industry of porcelain, floor tiles, wall tiles and bathroom accessories. In 1995,
Ceramic Cleopatra Group was awarded ISO 9001 certification, which is followed by the UNIDO Prize in 1997. The
company also acquired the rights to develop an industrial zone in the Suez economic Zone through 1998. Finally,
it won the award for its excellence and the ISO 14001 certification. According to ISO 9001:2008, organizations
ought to guarantee that the customer requirements are determined to ensure their satisfaction. Thus,
organizations need to enhance their processes, and for that, they use a set of practices, which include various
tools and techniques, especially, the seven basic quality tools. Relatively, quality, productivity and cost of
operation rely on each other. The fundamental objective of quality management is the customer satisfaction with
the delivery of the defect free products at the least cost. In 2013, a case study was directed to decrease the scrap
in the car mechanical production systems using quality control tools. It brings about enormous sparing in the cost
to the organization. Another study, which was conducted in steel industry, helped to diminish the greater part of
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the issues identified with the quality. The seven basic quality control tools can help an organization in problems
solving and process improvements. The first master who proposed seven basic tools was Dr. Kaoru Ishikawa at
(1968), by writing a book entitled “Gemba no QC Shuho” that was aimed managing quality through systems and
practices for the Japanese firms. These seven basic quality control tools are: Check Sheet, Histogram, Pareto
Chart, Fishbone Diagram, Control Chart, Flowchart and Scatter Diagram. The following sections explain the
detailed use of these tools and its application on the case study.
The Check Sheet is sometimes called a tally sheet. It is a basic form with specific arrangements that can help the
user to record the data. Data are gathered and organized on the check sheet to record the frequency of particular
occasions during a data collection period. It sets up a reliable, compelling and conservative approach that can be
applied in the auditing of quality assurance for checking on and following the steps in particular processes. In
addition, it helps the user to organize the data for the later usage. The fundamental favorable circumstances of
the check sheet are being effortless to apply, comprehend results as well as making a reasonable picture of the
organization state. It is a producer and an intense tool to identify frequently problems and issues, but it doesn’t
have successful capacity to analyze the quality issue in the workplace. Table 1 depicts a check sheet that can be
used for collecting data during the production process in the selected case study and showing the repeated
defects and their types through 30 workdays. As shown in the table, the Cracks Sides were the most repeated
defects as they happened 4851 times, and then they are followed by the Dimension error which was repeated
2242 times, while Broken Edges were the least repeated defects as they happened 296 times. Moreover, the
table shows that the second day has encountered the greatest number of defects which were 1363. These
defects were discovered by the Control Chart and to clarify the results, we use a Histogram and Pareto Chart.
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Table 1. Check sheet for reasons of low grades and refuse the products.
The Histogram is considered an irreplaceable tool to show the distribution frequency of the variables’ values
which were observed. It is one of the types of the bar chart which describes the attribute and variable data on a
specific research and clarifies the data distribution and its variation in the process. Moreover, it is considered a
helping hand for the identification of the underlying distribution of the variable being studied. In order to be
easily used and understood by the operation process’s workers, the Histogram has to be appropriately and
professionally designed. Figure 1 shows the relation between defect type and defect frequency using Histogram
in one manufacturing process which were represented in Table 1.
Pareto Chart is a type of a Histogram as well as a Bar chart. Its idea was first introduced by the Italian economist,
Pareto, in the 19th century. He took a note that 80% of the wealth was owned by only 20% of the population. As
a result, the graph was established by Juran in (1950). It is a statistical technique in decision-making used for the
selection of a limited number of tasks that produce a significant overall effect. It shows the relative importance of
the variables and arranges them in a descending order, according to their priorities from the left of the chart to
its right side. It gives a way for searching concerning quality development, improving efficiency, wastage
materials, energy saving and cost reductions. Figure 2 shows the Pareto chart that has the values of the defects,
which were taken from Figure 1 arranged in a descending order and the calculated cumulative percentages with
9. 9
their drawn curve. Using the “80% and 20%” rule, a line is drawn from the 80% value and intersects with the
curve at a corresponding value which is very informative value. The defects after this value are ignored, while the
defects before this value, which are Rectangularity, Polishing defect, Spots, Other point, Kiln defect, Grains,
Dimension error, Broken corner, Pits, Dust, Dust under glaze, Planarity concave, Cracks corner, Cracks side, Cracks
middle and Pin hole, are used in the study of the root causes of the problem, using the Fishbone Diagram.
Fishbone Diagram is one of the basic quality tools, which is also called an Ishikawa diagram, owing to its
developer Dr. Kaoru Ishikawa (1943), and it is called the Cause and effect diagram, as it shows the relationship
between all the factors that leads to the given situation. Moreover, it is called the Fishbone diagram because of
its resemblance to a fish skeleton. Systematically, it identifies major causes and breaks them down into sub-
causes and further sub-divisions in order to investigate, analyze and solve the root causes that, initially, led to the
problem. Such a tool aids to help the organization in managing and handling the possible causes of the problem.
In addition, such tool bridges the chasm between the organization and the most affecting causes, allows a perfect
understanding of the problem and helps in studying each cause [5]. Tile is considered as a low grade owing to its
defects then; a Fishbone diagram is used to know the reasons why it is defected. As indicated in Figure 3, the
categories of the course are four elements, which are the main causes of cracks side defect. Finally, the potential
causes are indicated by other arrows entering the main causes’ arrow [10].
Control Chart is the most statistically complicated tool for managing the quality [6]. It is also called Shewhart
control chart owing to its developer Walter A. Shewhart (1920s) at the bell telephone laboratories. Moreover, it is
called the process-behavior charts as it determines the state of control. In addition, it is one of the run charts as it
10. 10
clarifies the amount of variation in the process according to time order as well as shows how the process is going
on. Statistically and according to historical data, it shows whether there is a problem with the quality or not by
having a central line for the mean, upper line indicating the upper control limit and lower line indicating the lower
control limit. The samplings that are not between UCL and LCL are out of control, while those samplings that are
among them have no problem.
Figure 1. Histogram of the defects frequency.
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Figure 3. Fishbone Diagram of product defects.
Alongside this, the chart estimates the borders of the process quality and help in decreasing the defects and
variations of the processes. Finally, this tool is of a great avail to the construction industry as it saves costs by
controlling quality instead of spending money on selling default products, which will certainly result in unsatisfied
customers. A control chart shows also specification limits that the area, on either side of the centerline, or mean,
of data plotted on a control chart that meets the customer’s requirements for a product or service. This area may
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be greater than or less than the area defined by the control limits. The data used in the control chart Figure 4 and
in Table 2 represent the example of Dimension error defects and show the points that are in and out of control.
Flowchart is a formalized graphic representation that contains inputs, activities, decision points and outputs for
the aim of representing the main objective of the process. It is one of the problem solving tools which is a visual
representation of the sequence of steps and decisions needed to perform a process. Moreover, it helps to study,
plan, improve and communicate complex processes in a clear way to handle the defects and the problems of the
process as shown in Figure 5. Also, the flow chart shows the process from start to end and the process will be
stopped due to any product defect.
Scatter Diagram is a powerful tool to draw the distribution of information in two dimensions, which helps to
detect and analyze a pattern relationship between two qualities and compliance variables, as an independent
variable and a dependent variable, understand if there is a relationship between them and the relationship kind.
The shape of the scatter diagram often shows the degree and direction of the relationship between two
variables, and the correlation may reveal the causes of a problem. Scatter diagrams are very useful in regression
modeling.
The scatter diagram can indicate the correlations between the two variables which can be: 1) Positive correlation;
2) Negative correlation, and 3) No correlation, as demonstrated in Table 3 and Figure 6. In this figure, there is no
correlation between Cracks side and temperature.
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Figure 5. Control chart.
Figure 6. Scatter diagram (relation between Cracks side and temperature).
Table 2. Control chart for Dimension error defects.
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CONCLUSION:
This study distinguished that it is very essential to apply all the seven QC tools for investigating issues within
production processes in the organizations. Without a shadow of doubt, all of the previously mentioned quality
tools should be considered and used by management for identifying and solving quality problems amid producing
the products and services.
Along these lines, the production processes can be influenced and improved by multiple factors of these
statistical QC tools. In this study case, The Check Sheet clarifies the Cracks sides were the most repeated defects
as they happened 4851 times, and then they are followed by the Dimension error which was repeated 2242
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times. With a specific end goal to be effectively utilized, the Histogram has to be appropriately and professionally
designed. Moreover, Pareto diagram identifies that Cracks side and Dimension error are the vital view defects
that need attention. Fishbone Diagram shows the categories of the cause, which are the main causes of cracks
side defect, such as environment, labors, equipment and materials. The Control Charts indicate the Dimension
error defects and show the points which are in and out of control. Control Charts are among the most effective
management control tools, and they are as important as cost control and material control. Graphically, this
confirms variation in output quality characteristics against pre-fixed upper and lower limits. Flowchart shows the
process from start to end and the process will be stopped due to any product defect. Finally, Scatter Diagram
proves that there is no direct relationship between Cracks side defects and temperature during different
production stages. These tools are helpful at every stage of the defect removal process. As a result, the main
objectives of this research were achieved. The successful application of the seven basic quality control tools in the
construction industry was investigated and the level of quality in the construction industry using these tools was
improved.
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