Lean Six Sigma is a methodology that combines Lean and Six Sigma approaches to process improvement. Lean focuses on speed and efficiency while Six Sigma aims for precision and reducing variation. Both arose in the 1980s, with Lean developing in auto manufacturing and Six Sigma in the semiconductor industry. Combining the two approaches allows organizations to address all types of process problems using the most appropriate tools. Lean Six Sigma seeks to achieve total customer satisfaction, remove waste, improve processes, and develop leaders to meet goals of better products delivered faster and at lower cost. It provides a common vision and language for organizations and promotes teamwork to continuously improve processes.
The document discusses Lean Six Sigma and provides definitions, principles, and guidance on its application. Some key points:
1. Lean Six Sigma is a framework that provides a structured approach to eliminate waste and improve customer satisfaction. It aims to fix processes to improve outcomes.
2. Measurement is key to Lean Six Sigma as it allows for identification of problems and tracking of improvements. Processes must have measurable outcomes.
3. Lean Six Sigma can be applied to both manufacturing and service industries by focusing on eliminating waste and defects across the entire lifecycle of a product or service.
Six Sigma is a statistical methodology for improving processes by reducing defects to 3.4 defects per million opportunities. It follows the DMAIC process of define, measure, analyze, improve, and control. Key roles in Six Sigma implementation include Executive Leadership to provide vision, Champions to oversee implementation, Master Black Belts as expert coaches, Black Belts to lead projects applying the methodology, Green Belts to support projects, and Process Owners responsible for targeted business processes.
Lean Six Sigma Yellow Belt Certification BrochurePartner
The document provides an outline for a Lean Six Sigma Yellow Belt training program. The 3-day course aims to impart an understanding of Six Sigma methodology and equip participants with the skills to identify and implement Yellow Belt level improvement projects. The course covers Six Sigma frameworks, terminology, and the DMAIC (Define, Measure, Analyze, Improve, Control) methodology. It includes exercises in problem identification, data analysis, cause-and-effect analysis, and process improvement planning. Participants are assessed through a written test and provided with a Yellow Belt certificate upon completion. Past participants have rated the program highly and found it applicable to their work.
It has been designed for businesses/entrepreneurs by making it simple and efficient, so they can easily understand and implement it.
I have tried to make it comprehensive presentation to train employees, staff, companies for them to adopt Lean 6 Sigma or just Lean, what tools to use, reduce the errors in the process whether in the commercial sector, manufacturing sector, service sector or in defence, thus improving the productivity and profitability in today's competitive business environment.
Six Sigma is a data-driven methodology for improving processes by reducing variation. It was developed by Motorola in the 1980s to help address quality issues that were causing them to lose market share to Japanese competitors. Motorola found that the Japanese companies had much lower variation in their production processes, allowing them to produce higher quality products at a lower cost. By implementing Six Sigma, Motorola was able to improve their processes, lower defects, and increase customer satisfaction, leading to billions of dollars in savings over time. The core of Six Sigma is reducing defects to 3.4 per million opportunities through the DMAIC process of Define, Measure, Analyze, Improve, and Control. It has now been adopted by many major companies
The document provides an overview of Six Sigma, including:
1) Six Sigma is a data-driven approach to process improvement that aims to reduce defects. It uses statistical tools and methodology applied to projects selected for high impact.
2) Major companies like GE and Motorola have successfully adopted Six Sigma, achieving significant cost savings and quality improvements.
3) Six Sigma aims for near-perfect processes, with less than 3.4 defects per million opportunities. Achieving six sigma quality levels can have substantial financial benefits for companies.
The document discusses Lean Six Sigma and provides definitions, principles, and guidance on its application. Some key points:
1. Lean Six Sigma is a framework that provides a structured approach to eliminate waste and improve customer satisfaction. It aims to fix processes to improve outcomes.
2. Measurement is key to Lean Six Sigma as it allows for identification of problems and tracking of improvements. Processes must have measurable outcomes.
3. Lean Six Sigma can be applied to both manufacturing and service industries by focusing on eliminating waste and defects across the entire lifecycle of a product or service.
Six Sigma is a statistical methodology for improving processes by reducing defects to 3.4 defects per million opportunities. It follows the DMAIC process of define, measure, analyze, improve, and control. Key roles in Six Sigma implementation include Executive Leadership to provide vision, Champions to oversee implementation, Master Black Belts as expert coaches, Black Belts to lead projects applying the methodology, Green Belts to support projects, and Process Owners responsible for targeted business processes.
Lean Six Sigma Yellow Belt Certification BrochurePartner
The document provides an outline for a Lean Six Sigma Yellow Belt training program. The 3-day course aims to impart an understanding of Six Sigma methodology and equip participants with the skills to identify and implement Yellow Belt level improvement projects. The course covers Six Sigma frameworks, terminology, and the DMAIC (Define, Measure, Analyze, Improve, Control) methodology. It includes exercises in problem identification, data analysis, cause-and-effect analysis, and process improvement planning. Participants are assessed through a written test and provided with a Yellow Belt certificate upon completion. Past participants have rated the program highly and found it applicable to their work.
It has been designed for businesses/entrepreneurs by making it simple and efficient, so they can easily understand and implement it.
I have tried to make it comprehensive presentation to train employees, staff, companies for them to adopt Lean 6 Sigma or just Lean, what tools to use, reduce the errors in the process whether in the commercial sector, manufacturing sector, service sector or in defence, thus improving the productivity and profitability in today's competitive business environment.
Six Sigma is a data-driven methodology for improving processes by reducing variation. It was developed by Motorola in the 1980s to help address quality issues that were causing them to lose market share to Japanese competitors. Motorola found that the Japanese companies had much lower variation in their production processes, allowing them to produce higher quality products at a lower cost. By implementing Six Sigma, Motorola was able to improve their processes, lower defects, and increase customer satisfaction, leading to billions of dollars in savings over time. The core of Six Sigma is reducing defects to 3.4 per million opportunities through the DMAIC process of Define, Measure, Analyze, Improve, and Control. It has now been adopted by many major companies
The document provides an overview of Six Sigma, including:
1) Six Sigma is a data-driven approach to process improvement that aims to reduce defects. It uses statistical tools and methodology applied to projects selected for high impact.
2) Major companies like GE and Motorola have successfully adopted Six Sigma, achieving significant cost savings and quality improvements.
3) Six Sigma aims for near-perfect processes, with less than 3.4 defects per million opportunities. Achieving six sigma quality levels can have substantial financial benefits for companies.
Six Sigma training provides significant benefits to individuals in their careers. It develops business, analytical, leadership and problem solving skills. Past participants who have undergone Six Sigma training report fast career growth into leadership roles with increased responsibilities and impactful projects. They also gain soft skills and can apply Six Sigma thinking across different industries. Excerpts from interviews with Six Sigma practitioners demonstrate career progression into roles with higher visibility and ability to deliver tangible business benefits due to Six Sigma expertise.
This document provides an overview of Lean Six Sigma concepts and methodologies. It begins with introducing quality concepts such as defining quality as meeting customer expectations and explaining the costs of poor quality. Lean concepts and tools are then outlined, including value stream mapping and eliminating waste. Finally, Six Sigma concepts and methodologies like DMAIC for process improvement and DMADV for design are summarized. The document aims to provide trainees with foundational knowledge on Lean Six Sigma.
Six Sigma is a data-driven methodology for improving processes by reducing variability. It was developed by Motorola in the 1980s and aims for near perfect processes with fewer than 3.4 defects per million opportunities. The Six Sigma methodology uses statistical tools and involves defining problems, measuring processes, analyzing data, improving processes, and controlling them. It focuses on customer satisfaction and uses roles like Black Belts, Green Belts, and Master Black Belts. Many large companies have implemented Six Sigma and achieved savings of 1-4.5% of revenue through reduced costs and improved quality.
Six Sigma is a statistical methodology for improving business processes. It aims to reduce defects and variation in manufacturing and business processes. The goal of Six Sigma is to reduce defects to 3.4 defects per million opportunities. This can be measured using a metric called sigma, with 6 sigma representing a process operating with almost no defects. Key aspects of Six Sigma include defining critical customer requirements, using data and statistical analysis to determine sources of defects, implementing solutions to processes, and measuring their effectiveness.
Quality improvement has been a long concern for any organizations. Six sigma in this case is an efficient tool to gain service excellence that is imroving the capability of business. This tool is basically based on statistics, focused on process,followed by a data-driven methodolgy. With an aim to improve the output quality, which includes risk and/or fault identification and applying procedure to minimize the risk, six sigma serves the purpose of defect reduction and a boost up of employee morale, profit and services. The integration of defect detection and minimizing it hence improving the quality of service is the main concern here.
The document discusses integrating Six Sigma and Lean manufacturing to lower costs and reduce lead time. It provides an overview of Lean, which focuses on eliminating waste to reduce lead time, and Six Sigma, which focuses on reducing process variation. The document recommends integrating both approaches for maximum benefit, as Lean cannot control variation and Six Sigma cannot dramatically improve speed. It then discusses key aspects of each approach including goals, definitions, tools, and implementation challenges when combining the two methodologies.
This document provides an overview of the Six Sigma DMAIC methodology for process improvement. It describes the five phases of the DMAIC model: Define, Measure, Analyze, Improve, and Control. For each phase, it outlines the objectives, key activities, and potential tools that can be used, such as process mapping, data collection, Pareto analysis, gauge R&R studies, and process capability analysis. It also provides a case study example of applying DMAIC to improve the crankcase manufacturing process at a small engine plant.
This document provides an overview of Six Sigma and the DMAIC methodology. It discusses:
- What Six Sigma is and the goals of the DMAIC phases (Define, Measure, Analyze, Improve, Control)
- Key steps in the Define phase including defining the problem, forming a project team, creating a charter and project plan, identifying customers and requirements, and documenting the current process
- The importance of the project champion and developing a problem statement in the Define phase
- Types of process maps used to document the current process such as top-level, detailed, and functional maps
- The upcoming Measurement phase and determining the appropriate metrics to measure
Many software development organizations work within the bounds of contractual agreements where the limitations imposed by the “Iron Triangle” of fixed timelines, budgets, and scope challenge their ability to embrace change and focus on value delivery. Agile practitioners often comment that agile contracting is a difficult problem, but proven solutions are rarely presented. Rachel Weston and Chris Spagnuolo offer some tools they have used in their own agile contracting work to help agile practitioners deal with different contracting scenarios while promoting agile practices, protecting the development organization, and still providing value and protection to the client’s organization. Through a combined workshop and facilitated collaborative session, Rachel and Chris present new agile contracting tools that can be added to your toolbox. You will gain a deeper understanding of the problems associated with agile contracting as well as practical solutions for dealing with contracts in an agile manner.
This document provides an overview of Lean Six Sigma. It discusses the history and founders of continuous improvement efforts including Deming, Juran, Crosby and Shewhart. It outlines some of their key contributions like Deming's Plan-Do-Check-Act cycle, Juran's trilogy of quality planning, control and improvement. The document also discusses concepts from Lean thinking like Just-In-Time and the origins of various quality tools in Western and Eastern models. Finally, it examines the integration of Lean and Six Sigma.
Lean six sigma Yellow Belt Complete trainingAnkit Sharma
This document provides an overview of Lean Six Sigma. It begins with an agenda that outlines understanding Lean Six Sigma, why it is necessary, the eight wastes, and the DMAIC methodology. It then discusses how Lean Six Sigma aims to provide organization-level improvements with reduced resources. Competition is increasing due to advances in technology, so understanding processes is important for competitiveness. The training purpose is to survive in today's economy. Lean focuses on eliminating waste, while Six Sigma aims for precision and reducing defects. Combining the two methodologies provides a comprehensive toolset for process improvement. Key phases of DMAIC (Define, Measure, Analyze, Improve, Control) are outlined for solving problems in a structured way.
The document provides an overview of Six Sigma training concepts including the Define-Measure-Analyze-Improve-Control (DMAIC) methodology. It discusses key Six Sigma terms and tools used in each phase of DMAIC projects. Examples are given for tools like SIPOC, affinity diagrams, QFD, and data collection plans that are used to define problems, collect data, and establish baselines in the Define and Measure phases. The document also outlines common roles in Six Sigma organizations and how executives and champions guide Six Sigma initiatives. Overall, the document serves as an introductory guide to Six Sigma concepts and the project methodology.
This document provides an overview of Six Sigma Yellow Belt training objectives and concepts. The objectives are to understand the need for Six Sigma and explain the DMAIC process. Key Six Sigma concepts covered include: the history and focus on reducing defects, standard deviation and the sigma scale, the DMAIC methodology of Define, Measure, Analyze, Improve, and Control problems, and how Six Sigma can be applied to any business function. An example of applying Six Sigma to improve a pizza delivery service is also provided.
Lean Six Sigma is a methodology that combines Lean (focused on eliminating waste) and Six Sigma (focused on reducing variation and defects). It uses the DMAIC process - Define, Measure, Analyze, Improve, Control. Projects follow this 5 step process and are led by Black Belts and Green Belts trained in statistical quality tools. The goal is to reduce costs and improve processes, products and services by removing sources of defects and minimizing variability.
six sigma is a vibrant topic in quality management
i had made this one in my total quality management subject in mba.
u can take this but leave a comment if u like it
The document provides an overview and introduction to Six Sigma. It discusses what Six Sigma is, its origins at Motorola, how it spread to other companies like GE, and the typical project methodology of DMAIC. It also outlines the common roles in a Six Sigma organization such as Green Belt, Black Belt, and Master Black Belt. The overall document serves to familiarize readers with the basic concepts and approach of Six Sigma.
This document provides an overview and outline of a 6-Sigma training review. It covers 7 topics: Six Sigma overview, team process and logistics, introduction to project charter, project charter continued, measurement, pre-project planning, and data analysis. Topic 1 defines Six Sigma and its goals of minimizing process variation. It also describes the Six Sigma levels and defect rates. The document outlines the DMAIC process and expectations of learning skills, a problem-solving approach, and collaborative work.
The document discusses Design for Six Sigma (DFSS), a methodology for designing products and processes to meet customer needs and expectations from the beginning. DFSS aims to create designs that are efficient, high-quality, and robust. It recasts the DMAIC model into DMADV or I2DOV, emphasizing early design phases to predict and improve quality upfront. DFSS changes organizations from focusing only on functionality to incorporating statistical analysis of failure modes and risk assessment into design.
This slide deck will help you appreciate the application of statistics (and now data science) in the field of Quality Management and Process Improvement. And why is there a need to produce a consistent "in spec" product at 99.9997% of the time.
Design for Six Sigma (DFSS) is a proactive approach to product design that aims to prevent quality problems, while traditional Six Sigma is a reactive approach focused on improving existing processes. DFSS uses tools like Quality Function Deployment and Failure Mode and Effects Analysis during the design process to translate customer needs into engineering requirements and optimize designs to achieve high quality levels. Key challenges to implementing DFSS include overcoming cultural resistance to change and adapting new technical methods and tools. Leadership support is critical to making DFSS successful through clear communication of the quality vision and goals.
Six Sigma training provides significant benefits to individuals in their careers. It develops business, analytical, leadership and problem solving skills. Past participants who have undergone Six Sigma training report fast career growth into leadership roles with increased responsibilities and impactful projects. They also gain soft skills and can apply Six Sigma thinking across different industries. Excerpts from interviews with Six Sigma practitioners demonstrate career progression into roles with higher visibility and ability to deliver tangible business benefits due to Six Sigma expertise.
This document provides an overview of Lean Six Sigma concepts and methodologies. It begins with introducing quality concepts such as defining quality as meeting customer expectations and explaining the costs of poor quality. Lean concepts and tools are then outlined, including value stream mapping and eliminating waste. Finally, Six Sigma concepts and methodologies like DMAIC for process improvement and DMADV for design are summarized. The document aims to provide trainees with foundational knowledge on Lean Six Sigma.
Six Sigma is a data-driven methodology for improving processes by reducing variability. It was developed by Motorola in the 1980s and aims for near perfect processes with fewer than 3.4 defects per million opportunities. The Six Sigma methodology uses statistical tools and involves defining problems, measuring processes, analyzing data, improving processes, and controlling them. It focuses on customer satisfaction and uses roles like Black Belts, Green Belts, and Master Black Belts. Many large companies have implemented Six Sigma and achieved savings of 1-4.5% of revenue through reduced costs and improved quality.
Six Sigma is a statistical methodology for improving business processes. It aims to reduce defects and variation in manufacturing and business processes. The goal of Six Sigma is to reduce defects to 3.4 defects per million opportunities. This can be measured using a metric called sigma, with 6 sigma representing a process operating with almost no defects. Key aspects of Six Sigma include defining critical customer requirements, using data and statistical analysis to determine sources of defects, implementing solutions to processes, and measuring their effectiveness.
Quality improvement has been a long concern for any organizations. Six sigma in this case is an efficient tool to gain service excellence that is imroving the capability of business. This tool is basically based on statistics, focused on process,followed by a data-driven methodolgy. With an aim to improve the output quality, which includes risk and/or fault identification and applying procedure to minimize the risk, six sigma serves the purpose of defect reduction and a boost up of employee morale, profit and services. The integration of defect detection and minimizing it hence improving the quality of service is the main concern here.
The document discusses integrating Six Sigma and Lean manufacturing to lower costs and reduce lead time. It provides an overview of Lean, which focuses on eliminating waste to reduce lead time, and Six Sigma, which focuses on reducing process variation. The document recommends integrating both approaches for maximum benefit, as Lean cannot control variation and Six Sigma cannot dramatically improve speed. It then discusses key aspects of each approach including goals, definitions, tools, and implementation challenges when combining the two methodologies.
This document provides an overview of the Six Sigma DMAIC methodology for process improvement. It describes the five phases of the DMAIC model: Define, Measure, Analyze, Improve, and Control. For each phase, it outlines the objectives, key activities, and potential tools that can be used, such as process mapping, data collection, Pareto analysis, gauge R&R studies, and process capability analysis. It also provides a case study example of applying DMAIC to improve the crankcase manufacturing process at a small engine plant.
This document provides an overview of Six Sigma and the DMAIC methodology. It discusses:
- What Six Sigma is and the goals of the DMAIC phases (Define, Measure, Analyze, Improve, Control)
- Key steps in the Define phase including defining the problem, forming a project team, creating a charter and project plan, identifying customers and requirements, and documenting the current process
- The importance of the project champion and developing a problem statement in the Define phase
- Types of process maps used to document the current process such as top-level, detailed, and functional maps
- The upcoming Measurement phase and determining the appropriate metrics to measure
Many software development organizations work within the bounds of contractual agreements where the limitations imposed by the “Iron Triangle” of fixed timelines, budgets, and scope challenge their ability to embrace change and focus on value delivery. Agile practitioners often comment that agile contracting is a difficult problem, but proven solutions are rarely presented. Rachel Weston and Chris Spagnuolo offer some tools they have used in their own agile contracting work to help agile practitioners deal with different contracting scenarios while promoting agile practices, protecting the development organization, and still providing value and protection to the client’s organization. Through a combined workshop and facilitated collaborative session, Rachel and Chris present new agile contracting tools that can be added to your toolbox. You will gain a deeper understanding of the problems associated with agile contracting as well as practical solutions for dealing with contracts in an agile manner.
This document provides an overview of Lean Six Sigma. It discusses the history and founders of continuous improvement efforts including Deming, Juran, Crosby and Shewhart. It outlines some of their key contributions like Deming's Plan-Do-Check-Act cycle, Juran's trilogy of quality planning, control and improvement. The document also discusses concepts from Lean thinking like Just-In-Time and the origins of various quality tools in Western and Eastern models. Finally, it examines the integration of Lean and Six Sigma.
Lean six sigma Yellow Belt Complete trainingAnkit Sharma
This document provides an overview of Lean Six Sigma. It begins with an agenda that outlines understanding Lean Six Sigma, why it is necessary, the eight wastes, and the DMAIC methodology. It then discusses how Lean Six Sigma aims to provide organization-level improvements with reduced resources. Competition is increasing due to advances in technology, so understanding processes is important for competitiveness. The training purpose is to survive in today's economy. Lean focuses on eliminating waste, while Six Sigma aims for precision and reducing defects. Combining the two methodologies provides a comprehensive toolset for process improvement. Key phases of DMAIC (Define, Measure, Analyze, Improve, Control) are outlined for solving problems in a structured way.
The document provides an overview of Six Sigma training concepts including the Define-Measure-Analyze-Improve-Control (DMAIC) methodology. It discusses key Six Sigma terms and tools used in each phase of DMAIC projects. Examples are given for tools like SIPOC, affinity diagrams, QFD, and data collection plans that are used to define problems, collect data, and establish baselines in the Define and Measure phases. The document also outlines common roles in Six Sigma organizations and how executives and champions guide Six Sigma initiatives. Overall, the document serves as an introductory guide to Six Sigma concepts and the project methodology.
This document provides an overview of Six Sigma Yellow Belt training objectives and concepts. The objectives are to understand the need for Six Sigma and explain the DMAIC process. Key Six Sigma concepts covered include: the history and focus on reducing defects, standard deviation and the sigma scale, the DMAIC methodology of Define, Measure, Analyze, Improve, and Control problems, and how Six Sigma can be applied to any business function. An example of applying Six Sigma to improve a pizza delivery service is also provided.
Lean Six Sigma is a methodology that combines Lean (focused on eliminating waste) and Six Sigma (focused on reducing variation and defects). It uses the DMAIC process - Define, Measure, Analyze, Improve, Control. Projects follow this 5 step process and are led by Black Belts and Green Belts trained in statistical quality tools. The goal is to reduce costs and improve processes, products and services by removing sources of defects and minimizing variability.
six sigma is a vibrant topic in quality management
i had made this one in my total quality management subject in mba.
u can take this but leave a comment if u like it
The document provides an overview and introduction to Six Sigma. It discusses what Six Sigma is, its origins at Motorola, how it spread to other companies like GE, and the typical project methodology of DMAIC. It also outlines the common roles in a Six Sigma organization such as Green Belt, Black Belt, and Master Black Belt. The overall document serves to familiarize readers with the basic concepts and approach of Six Sigma.
This document provides an overview and outline of a 6-Sigma training review. It covers 7 topics: Six Sigma overview, team process and logistics, introduction to project charter, project charter continued, measurement, pre-project planning, and data analysis. Topic 1 defines Six Sigma and its goals of minimizing process variation. It also describes the Six Sigma levels and defect rates. The document outlines the DMAIC process and expectations of learning skills, a problem-solving approach, and collaborative work.
The document discusses Design for Six Sigma (DFSS), a methodology for designing products and processes to meet customer needs and expectations from the beginning. DFSS aims to create designs that are efficient, high-quality, and robust. It recasts the DMAIC model into DMADV or I2DOV, emphasizing early design phases to predict and improve quality upfront. DFSS changes organizations from focusing only on functionality to incorporating statistical analysis of failure modes and risk assessment into design.
This slide deck will help you appreciate the application of statistics (and now data science) in the field of Quality Management and Process Improvement. And why is there a need to produce a consistent "in spec" product at 99.9997% of the time.
Design for Six Sigma (DFSS) is a proactive approach to product design that aims to prevent quality problems, while traditional Six Sigma is a reactive approach focused on improving existing processes. DFSS uses tools like Quality Function Deployment and Failure Mode and Effects Analysis during the design process to translate customer needs into engineering requirements and optimize designs to achieve high quality levels. Key challenges to implementing DFSS include overcoming cultural resistance to change and adapting new technical methods and tools. Leadership support is critical to making DFSS successful through clear communication of the quality vision and goals.
Basic overview six sigma, Six Sigma is a production philosophy that uses data, processes, and tools to nearly eliminate defects and bring performance close to perfection. Specifically, achieving Six Sigma means that no more than 3.4 defects occur per one million “opportunities” to create an acceptable output
Six Sigma is defined in three ways: as a metric, methodology, and management system. As a metric, Six Sigma refers to 3.4 defects per million opportunities. As a methodology, Six Sigma uses the DMAIC model of define, measure, analyze, improve, and control to minimize process variation. As a management system, Six Sigma aligns business strategy and processes to improve key metrics and drive sustainable results. PT Mattel implemented Six Sigma to achieve objectives like increasing efficiency and reducing defects by linking Lean Six Sigma projects to its supply chain processes using the COPIS model and DMAIC approach.
This document provides an introduction to Six Sigma, including:
1. It defines Six Sigma as both a metric for quality (3.4 defects per million opportunities) and a methodology for process improvement using DMAIC (Define, Measure, Analyze, Improve, Control).
2. It explains the three levels of Six Sigma as a metric, methodology, and management system and how it is used to drive business strategy execution and continuous improvement.
3. It outlines PT Mattel's implementation of Six Sigma to achieve objectives like increasing efficiency and reducing defects through defining key processes and suppliers, measuring performance, and conducting Lean Six Sigma projects using the DMAIC approach.
This document provides an introduction to Six Sigma, including:
1. It defines Six Sigma as both a metric for quality (3.4 defects per million opportunities) and a methodology for process improvement using DMAIC (Define, Measure, Analyze, Improve, Control).
2. It explains the three levels of Six Sigma as a metric, methodology, and management system and how it is used to drive business strategy execution and continuous improvement.
3. It outlines PT Mattel's implementation of Six Sigma to achieve objectives like increasing efficiency and reducing defects through defining key processes and suppliers, measuring performance, and conducting Lean Six Sigma projects using the DMAIC approach.
Six Sigma is defined in three ways: as a metric, methodology, and management system. As a metric, Six Sigma refers to 3.4 defects per million opportunities. As a methodology, Six Sigma uses the DMAIC model of define, measure, analyze, improve, and control to minimize process variation. As a management system, Six Sigma aligns business strategy and processes to improve key metrics and drive sustainable results. PT Mattel implemented Six Sigma to achieve objectives like increasing efficiency and reducing defects by linking Lean Six Sigma projects to its supply chain processes using the COPIS model and DMAIC approach.
Six Sigma is a data-driven approach to process improvement originally developed by Motorola. It aims to reduce defects to 3.4 defects per million opportunities. There are two main methods - DMAIC which improves existing processes and DMADV which designs new processes. Key roles include Champions, Master Black Belts, Black Belts and Green Belts who lead projects. Statistical tools like control charts are used to analyze processes, identify issues, and implement solutions to reduce variations and defects. Widespread adoption of Six Sigma has helped many companies significantly cut costs and improve quality, including Motorola who saved over $17 billion from its Six Sigma program.
This document provides an overview of Six Sigma, including its meaning, history, key elements, strategies, approaches, and levels. Six Sigma is a data-driven methodology used to improve processes and minimize defects. It was developed by Motorola in the 1980s and focuses on reducing process variation to near zero defects. The document outlines the Define, Measure, Analyze, Improve, Control (DMAIC) approach for improving existing processes and the Define, Measure, Analyze, Design, Verify (DMADV) approach for new product or service design. It also defines the various roles in a Six Sigma project such as Champions, Green Belts, Black Belts and Master Black Belts.
In the early and mid-1980s, Motorola engineers decided that the traditional quality levels — measuring defects in thousands of opportunities – didn’t provide enough granularity. Instead, they wanted to measure the defects per million opportunities. Motorola developed this new standard and made a cultural change associated with it. Six Sigma helped Motorola realize powerful bottom-line results in their organization – in fact, they documented more than $16 Billion in savings as a result of our Six Sigma efforts.
Six Sigma has evolved over time. It’s more than just a quality system like TQM or ISO. It’s a way of doing business.
Six Sigma at many organizations simply means a measure of quality that strives for near perfection. Six Sigma is a disciplined, data-driven approach and methodology for eliminating defects (driving toward six standard deviations between the mean and the nearest specification limit) in any process – from manufacturing to transactional and from product to service. A Six Sigma defect is defined as anything outside of customer specifications.
A Six Sigma opportunity is then the total quantity of chances for a defect.
Six Sigma is a data-driven methodology for improving processes and reducing defects that was developed by Motorola in the 1980s. It aims to achieve no more than 3.4 defects per million opportunities. Key aspects of Six Sigma include defining critical quality characteristics, measuring defects, analyzing sources of variation, improving processes to address root causes of defects, and controlling processes to sustain improvements. Popular methodologies for implementing Six Sigma are DMAIC (Define, Measure, Analyze, Improve, Control) to improve existing processes and DMADV (Define, Measure, Analyze, Design, Verify) to develop new processes or products. Six Sigma requires certification of practitioners at different belt levels (Green, Black, etc.). While it has
The document provides an overview of Lean Six Sigma (LSS) and its key principles and tools. It discusses how Lean focuses on eliminating waste and ensuring smooth workflow, while Six Sigma aims to reduce variation and improve quality. The combination of Lean and Six Sigma in LSS provides a balanced approach that can drive process improvements in any organization. Case studies like Toyota demonstrate how LSS principles like standard work and data-driven decision making can significantly enhance production quality and efficiency. Key takeaways emphasize measuring results from LSS projects and implementing them as a team through defined roles and documented progress.
The document discusses various quality improvement concepts including Six Sigma, Kaizen, and their differences. Six Sigma uses a statistical approach to reduce defects through the DMAIC methodology. It aims for near perfect quality levels. Kaizen focuses on continuous incremental improvements involving all employees. While Six Sigma targets reducing variation, Kaizen prioritizes short-term gains through low-cost improvements and group activities like quality circles. Both concepts emphasize top management commitment and aim to enhance customer satisfaction and business performance over the long run.
The document discusses concepts related to continuous improvement methods Kaizen and Six Sigma. It defines Kaizen as ongoing improvement involving everyone, and describes its focus on productivity, quality culture and process-oriented approaches. Six Sigma aims for 3.4 defects per million opportunities through reducing variation and defects in processes. The methodology involves defining problems, measuring current performance, analyzing causes of variation, improving processes and controlling performance.
Six Sigma is a data-driven methodology for improving processes by reducing variation. It involves defining problems, measuring processes, analyzing causes of defects, improving processes, and controlling improvements. The goal is to take small steps forward to meet customer requirements. Key players include Champions, Black Belts, Green Belts and Project Sponsors. Six Sigma has been successfully applied across industries like automotive, healthcare, financial services and retail to reduce costs and improve customer satisfaction.
The document provides an overview of Six Sigma at Bank of America. It describes Six Sigma as a method originally developed by Motorola to improve manufacturing process quality that has since been applied to business processes. The basic premise is that all processes have variation, which is the enemy, and Six Sigma aims to reduce defects. It explains why Bank of America adopted Six Sigma to enable breakthrough improvements in customer satisfaction and shareholder value.
The document provides an overview of Six Sigma, including its objectives, key characteristics, tools, deployment process, and methodology known as DMAIC (Define, Measure, Analyze, Improve, Control). Six Sigma aims to reduce variation and defects through a data-driven approach. It requires leadership commitment, data-based decision making, and organizational change. Six Sigma training includes various belts that lead projects of increasing scope. The final section discusses Motorola's use of Six Sigma to achieve very high quality levels.
Six Sigma is a set of techniques used to improve processes and reduce defects. It was developed at Motorola in the 1980s to address high defect rates in television manufacturing. Six Sigma aims to identify and remove the causes of defects and errors in processes by following a structured methodology. It uses statistical tools and follows defined roles like Black Belts, Green Belts, and Master Black Belts. The goal is to make processes as close to perfect as possible by reducing defects to 3.4 per million opportunities.
This document provides an overview of Six Sigma, including:
- Six Sigma aims for near perfection with 3.4 defects per million opportunities. It uses statistical techniques to reduce defects and measure quality.
- Key elements are a focus on customers, processes, and employees. It follows a structured methodology with defined roles.
- The DMAIC methodology involves five steps: Define, Measure, Analyze, Improve, and Control. Green Belts and Black Belts play roles in Six Sigma projects and receive certification upon completing training.
The document provides an overview of Lean Six Sigma and discusses how it was formed by combining aspects of Lean and Six Sigma. Lean focuses on eliminating waste and improving process flow, while Six Sigma focuses on eliminating defects and reducing process variation. Lean Six Sigma aims to leverage both approaches to help companies improve quality, increase speed, and reduce costs in order to better meet customer needs and achieve competitive advantage.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
1. Lean Six SigmaLean Six Sigma
A Methodology for CulturalA Methodology for Cultural
Change and Continuous ProcessChange and Continuous Process
Improvement (CPI)Improvement (CPI)
2. Lean Six Sigma: A Vision
Empowered People Operating in a Culture
and Climate of Creativity & Innovation
Constantly Eliminating Waste and Variation
3. Lean Six Sigma: What is it?
Lean and Six Sigma are both process improvementLean and Six Sigma are both process improvement
methodologiesmethodologies
Lean is about speed and efficiencyLean is about speed and efficiency
Six Sigma is about precision and accuracy –Six Sigma is about precision and accuracy –
leading to data-driven decisionsleading to data-driven decisions
Both rooted in the 1980s (and earlier)Both rooted in the 1980s (and earlier)
Lean arose as a method to optimize auto manufacturingLean arose as a method to optimize auto manufacturing
Six Sigma evolved as a quality initiative to reduceSix Sigma evolved as a quality initiative to reduce
variance in the semiconductor industryvariance in the semiconductor industry
4. Why Lean and Six Sigma
Six Sigma will eliminate defects but it will not address theSix Sigma will eliminate defects but it will not address the
question of how to optimize process flowquestion of how to optimize process flow
Lean principles exclude the advanced statistical toolsLean principles exclude the advanced statistical tools
often required to achieve the process capabilities neededoften required to achieve the process capabilities needed
to be truly 'lean‘to be truly 'lean‘
Each approach can result in dramatic improvement,Each approach can result in dramatic improvement,
while utilizing both methods simultaneously holds thewhile utilizing both methods simultaneously holds the
promise of being able to address all types of processpromise of being able to address all types of process
problems with the most appropriate toolkit.problems with the most appropriate toolkit.
For example, inventory reduction not only requires reducing batchFor example, inventory reduction not only requires reducing batch
sizes and linking operations by using Lean, but also minimizingsizes and linking operations by using Lean, but also minimizing
process variation by utilizing Six Sigma tools.process variation by utilizing Six Sigma tools.
5. Lean Six Sigma Goals and Benefits
Achieve total customer satisfaction and improvedAchieve total customer satisfaction and improved
operational effectiveness and efficiencyoperational effectiveness and efficiency
Remove wasteful/non-value added activitiesRemove wasteful/non-value added activities
Decrease defects and cycle time, and increase firstDecrease defects and cycle time, and increase first
pass yieldspass yields
Improve communication and teamwork through aImprove communication and teamwork through a
common set of tools and techniquescommon set of tools and techniques
(a disciplined, repeatable methodology)(a disciplined, repeatable methodology)
Develop leaders in breakthrough technologies toDevelop leaders in breakthrough technologies to
meet stretch goals of producing better products andmeet stretch goals of producing better products and
services delivered faster and at lower costservices delivered faster and at lower cost
6. Lean Six Sigma Principles
• Specify value in the eyes of the customer
• Identify the value stream and eliminate waste / variation
• Make value flow smoothly at the pull of the customer
• Involve, align and empower employees
• Continuously improve knowledge in pursuit of perfection
7. Lean Six Sigma: A Powerful
Methodology (DMAIC)
MeasureDefine ImproveAnalyze Control
what is important
to the customer:
Project Selection
Team Formation
Establish Goal
how well we are doing:
Collect Data
Construct Process Flow
Validate Measurement System
the process:
Analyze Data
Identify Root Causes
the process gains:
Ensure Solution is
Sustained
the process performance measures:
Prioritize root causes
Innovate pilot solutions
Validate the improvement
8. The Tools and Techniques
Define Measure Analyze Improve Control
Benchmarking
FMEA
IPO Diagram
Kano’s Model
Knowledge Based Mgt
Project Charter
SIPOC Model
Quality Function
Deployment
Voice of Customer
Task Appraisal / Task
Summary
Value Stream Mapping
Confidence Intervals
Measurement System
Analysis
Nominal Group
Technique
Pairwise Ranking
Physical Process Flow
Process Capability
Analysis
Process Flow Diagram
Process Observation
Time Value Map
Value Stream Mapping
Waste Analysis
Affinity Diagram
Brainstorming
Cause & Effect
Diagram
e-test
F-test
Fault Tree Analysis
FMEA
Histogram
Historical Data Analysis
Pareto Chart
Reality Tree
Regression Analysis
Scatter Diagram
t-test
Thematic Content
Analysis
Tukey End Count Test
5 Whys
DFSS
DOE
Kanban
Mistake Proofing
PF/CE/CNX/SOP
Standard Work
Takt Time
Theory of Constraints
Total Productive
Maintenance
Visual Management
Work Cell Design
5S Workplace
Organization
Control Charts
Control Plan
Reaction Plan
Run Charts
Standard Operating
Procedures
9. An ExampleAn Example
Six Sigma Project: Engineering ChangesSix Sigma Project: Engineering Changes
Define:Define: Large number of changes from client after approvingLarge number of changes from client after approving
engineering design. Schedule slipping.engineering design. Schedule slipping.
Measure:Measure: Number of changes, time involved in changes,Number of changes, time involved in changes,
compliance to critical path schedule.compliance to critical path schedule.
Analyze:Analyze: No clear authority on client team to establish scope,No clear authority on client team to establish scope,
any of client team could make changes, verbal communicationany of client team could make changes, verbal communication
of changes, conflicting changes by client team members.of changes, conflicting changes by client team members.
Language issues between client and engineers.Language issues between client and engineers.
Improve:Improve: Regular engineering/client meetings where topicsRegular engineering/client meetings where topics
include: scope for each section and desired objective, knowninclude: scope for each section and desired objective, known
limitations defined, unclear requirements were questioned andlimitations defined, unclear requirements were questioned and
options discussed. Written plan signed by clientoptions discussed. Written plan signed by client
representative and engineering lead. Change requests inrepresentative and engineering lead. Change requests in
writing and signed by client representative. Changeswriting and signed by client representative. Changes
decrease by factor of 4.7 and schedule met.decrease by factor of 4.7 and schedule met.
Control:Control: Change requests all in writing. Shared approachChange requests all in writing. Shared approach
with other disciplines on project.with other disciplines on project.
From: www.adamssixsigma.com/Sample_Projects/six_sigma_projects.htmFrom: www.adamssixsigma.com/Sample_Projects/six_sigma_projects.htm
10. Some Results…Some Results…
Motorola – 10 years; $11 BillionMotorola – 10 years; $11 Billion
SavingsSavings
Allied Signal - $1.5 Billion estimatedAllied Signal - $1.5 Billion estimated
savingssavings
General Electric – started efforts inGeneral Electric – started efforts in
19951995
1998: $1.2 Billion less $450 Million1998: $1.2 Billion less $450 Million
in costs… net benefits = $750 Millionin costs… net benefits = $750 Million
1999 Annual Report: more than $21999 Annual Report: more than $2
Billion net benefitsBillion net benefits
2001: 6,000 projects completed; $32001: 6,000 projects completed; $3
11. Six Sigma according to GESix Sigma according to GE
““A highly disciplined process that helps usA highly disciplined process that helps us
focus on developing and delivering near-focus on developing and delivering near-
perfect products and services. The word Sixperfect products and services. The word Six
Sigma is a statistical term that measures howSigma is a statistical term that measures how
far a given process deviates from perfection.far a given process deviates from perfection.
The central idea behind Six Sigma is that ifThe central idea behind Six Sigma is that if
you can measure how many “defects” youyou can measure how many “defects” you
have in a process, you can systematicallyhave in a process, you can systematically
figure out how to eliminate them and get asfigure out how to eliminate them and get as
close to “zero defects” as possible. Sixclose to “zero defects” as possible. Six
Sigma has changed the DNA at GE – it is theSigma has changed the DNA at GE – it is the
way we work – in everything we do and inway we work – in everything we do and in
every product we design.”every product we design.”
12. • Provides aProvides a world classworld class business strategybusiness strategy
• Encourages aEncourages a common visioncommon vision andand common languagecommon language
shared by allshared by all
• PromotesPromotes teamworkteamwork and REWARDS successand REWARDS success
• CombinesCombines aggressive goalsaggressive goals with awith a methodmethod and a set ofand a set of
toolstools
• Requires theRequires the applicationapplication ofof toolstools throughoutthroughout entire lifecycleentire lifecycle
of a product or serviceof a product or service
• Produces knowledge forProduces knowledge for improved cycle timeimproved cycle time,, reducedreduced
defectsdefects, and, and lower costlower cost
Better products and services
delivered faster and at lower cost
=
Improved Customer Value
Summarizing the Power
of Lean Six Sigma
Editor's Notes
Usually the CFO or an executive in Finance is directly involved in Six Sigma projects. The expectation is that a project will have at least a $175,000 financial impact. Each Black Belt has a financial impact of about $1M per year from the four to six projects per year he or she leads.
Allied Signal CEO Larry Bossity reported that $1.5 Billion in estimated savings has already been achieved.
GE started SS in 1995 under Jack Welch. They claimed net benefits by 1997. In 1998, they claimed $1.2 Billion in benefits and costs of $450 Million for a net benefit of $750 M. 1999 Annual Report claimed a net benefit of more than $2 Billion.