Six Sigma is a methodology that aims to improve processes and minimize defects. It uses a data-driven approach called DMAIC (Define, Measure, Analyze, Improve, Control) to identify and address sources of variation. The goal of Six Sigma is to achieve nearly perfect processes with fewer than 3.4 defects per million opportunities. It was developed by Motorola to improve quality and has since been widely adopted. Key aspects of Six Sigma include defining problems, measuring processes, analyzing sources of variation, improving processes, and controlling improvements.
Six Sigma is a data-driven approach to process improvement that focuses on reducing defects. It aims for near perfect processes by minimizing variability. Six Sigma follows the DMAIC model - Define, Measure, Analyze, Improve, Control - to systematically improve processes. Belts are internal experts who assist teams, including Green Belts who spend part-time on projects and Black Belts who lead projects full-time, mentored by Master Black Belts. Six Sigma has helped many companies significantly improve performance and quality.
Six Sigma is a methodology that aims to reduce defects and variation in processes. It uses a data-driven, five-phase approach called DMAIC (Define, Measure, Analyze, Improve, Control) to optimize processes. Six Sigma defines quality as 3.4 defects per million opportunities. It uses statistical tools and aims for near-zero defect rates through the elimination of defects from processes. Projects are led by Belts (Black, Green, etc.) who are trained in Six Sigma tools and methods.
The document discusses Six Sigma, which is a data-driven methodology used to improve processes by eliminating defects. It aims for near perfection by achieving no more than 3.4 defects per million opportunities. The document outlines the history and key aspects of Six Sigma, including that it was developed by Motorola in the 1980s and has since been adopted by over 25% of Fortune 200 companies, helping generate billions of dollars in savings annually for companies like General Electric and Johnson & Johnson. The two main Six Sigma project methodologies - DMAIC and DMADV - are also summarized.
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.
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
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 methodology that aims for near perfection in meeting customer requirements. It was developed by Motorola in the late 1970s and focuses on reducing costs and waste through statistical analysis and process improvement. The main steps of Six Sigma are Define, Measure, Analyze, Improve, and Control (DMAIC). Benefits include a focus on customer expectations, strong participation across the organization, and a change in culture to prioritize profit through process improvement. Leading companies continuously integrate new and older quality methods to drive business success through close understanding of customers.
Six Sigma (Quality Management System)
Six Sigma seeks to improve the quality of process outputs by identifying and removing the causes of defects.
Six sigma process is one in which 99.9999966% of the products manufactured are statistically expected to be free of defects.
Six sigma is a very clever way of branding and packaging many aspects of TOTAL QUALITY MANAGEMENT.
Six Sigma is a data-driven approach to process improvement that focuses on reducing defects. It aims for near perfect processes by minimizing variability. Six Sigma follows the DMAIC model - Define, Measure, Analyze, Improve, Control - to systematically improve processes. Belts are internal experts who assist teams, including Green Belts who spend part-time on projects and Black Belts who lead projects full-time, mentored by Master Black Belts. Six Sigma has helped many companies significantly improve performance and quality.
Six Sigma is a methodology that aims to reduce defects and variation in processes. It uses a data-driven, five-phase approach called DMAIC (Define, Measure, Analyze, Improve, Control) to optimize processes. Six Sigma defines quality as 3.4 defects per million opportunities. It uses statistical tools and aims for near-zero defect rates through the elimination of defects from processes. Projects are led by Belts (Black, Green, etc.) who are trained in Six Sigma tools and methods.
The document discusses Six Sigma, which is a data-driven methodology used to improve processes by eliminating defects. It aims for near perfection by achieving no more than 3.4 defects per million opportunities. The document outlines the history and key aspects of Six Sigma, including that it was developed by Motorola in the 1980s and has since been adopted by over 25% of Fortune 200 companies, helping generate billions of dollars in savings annually for companies like General Electric and Johnson & Johnson. The two main Six Sigma project methodologies - DMAIC and DMADV - are also summarized.
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.
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
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 methodology that aims for near perfection in meeting customer requirements. It was developed by Motorola in the late 1970s and focuses on reducing costs and waste through statistical analysis and process improvement. The main steps of Six Sigma are Define, Measure, Analyze, Improve, and Control (DMAIC). Benefits include a focus on customer expectations, strong participation across the organization, and a change in culture to prioritize profit through process improvement. Leading companies continuously integrate new and older quality methods to drive business success through close understanding of customers.
Six Sigma (Quality Management System)
Six Sigma seeks to improve the quality of process outputs by identifying and removing the causes of defects.
Six sigma process is one in which 99.9999966% of the products manufactured are statistically expected to be free of defects.
Six sigma is a very clever way of branding and packaging many aspects of TOTAL QUALITY MANAGEMENT.
B.pharm 7th sem Six Sigma ppt.
Six Sigma concept, objectives, methodologies, differences, implementation, roles, application, hurdles, advantages and disadvantages. of the Six Sigma concept.
It has a great impact on industries to achieve profit. Improve business processes and reduce defects.
Six Sigma is a quality-control methodology developed by Motorola in 1986 that uses a data-driven approach to limit defects and reduce cycle times. It aims for near perfect production and service delivery by targeting no more than 3.4 defects per million opportunities. The Six Sigma methodology involves defining, measuring, analyzing, improving, and controlling processes and outcomes through statistical methods. It can be applied across various business functions and industries using two main approaches - DMAIC for improving existing processes and DMADV for designing new processes.
Six Sigma is a set of techniques and strategies aimed at process improvement. It uses data and statistical analysis to identify and eliminate defects in manufacturing and business processes. The goal of Six Sigma is to achieve close to zero defects by reducing variation and errors. It aims for no more than 3.4 defects per million opportunities. Six Sigma provides a rigorous methodology for defining, measuring, analyzing, improving, and controlling process performance to drive customer satisfaction and increase profits.
Lean Six Sigma is a methodology that combines Lean and Six Sigma to improve processes and eliminate waste. It uses tools like DMAIC (Define, Measure, Analyze, Improve, Control) and 5S (Sort, Straighten, Shine, Standardize, Sustain) to systematically identify and remove causes of defects and minimize variability in processes. A case study on implementing Lean Six Sigma in a call center showed improvements like increasing the actualization rate from 2.6% to 20% and updating procedures to better address customer issues. The future plan is to optimize billing processes and further improve call center quality and efficiency.
- The document discusses Lean Sigma, a customer-focused strategy that integrates Six Sigma tools and Lean principles to improve processes and drive cultural change.
- It explains how to apply Lean Sigma using the DMAIC process (Define, Measure, Analyze, Improve, Control) to supplement validation activities and reduce costs.
- An example is given of using Lean Sigma tools like Critical to Quality measurements to design validation testing protocols focused on the customer's most important needs.
How does Six Sigma Help in Better Decision Making in Business.pdfMr. Business Magazine
Six sigma is a set of tools or techniques to improve the business process. One methodology that has proven instrumental in this pursuit is Six sigma, a data-driven approach aimed at minimizing defects and variations in processes.
Six Sigma is a data-driven methodology that aims to eliminate defects and variability in processes. It originated at Motorola in 1986 and focuses on reducing process variation. The document discusses Six Sigma's key concepts, methodologies (DMAIC and DMADV), roles, and applications in industries like textiles. It presents a case study on how a textile company used Six Sigma's DMAIC approach to improve its fabric dyeing process and reduce defects, focusing on identifying and addressing root causes of variability. Six Sigma's structured approach helped the company achieve significant quality and production improvements.
The document provides an overview of Six Sigma, including:
1) It defines Six Sigma as a methodology for continuous improvement and creating high quality products and processes using statistical tools.
2) It discusses the origins and growth of Six Sigma at Motorola and GE in the 1980s-1990s.
3) It describes the DMAIC methodology used for process improvement projects and the roles of Master Black Belts, Black Belts, and Green Belts in a Six Sigma organization.
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.
This article is the brief of need of Six Sigma in any organization. It helps to undergo the process improvement by reducing cost and increasing value. Helps to identify for defective products and any variation in the process which do not add value to customer needs.
This document provides an overview of Six Sigma, a quality improvement program. It defines Six Sigma as a statistical measure that aims for 3.4 defects per million opportunities. The document outlines the DMAIC methodology used in Six Sigma, which stands for Define, Measure, Analyze, Improve, and Control. It is used to improve existing business processes. The DMADV methodology is also introduced, which is used for new product or process design. In conclusion, Six Sigma is a data-driven approach that systematically works to reduce defects and variability, improving quality and profitability through removing the causes of defects in processes.
Six Sigma quality tool in management studiesTamilselvan S
Six Sigma is a data-driven methodology for process improvement that aims to reduce defects. It follows the DMAIC cycle of define, measure, analyze, improve, and control. The methodology was developed by Motorola in the 1980s and focuses on minimizing process variation to produce no more than 3.4 defects per million opportunities. Projects use belts ranging from Green to Black to Master Black Belt to implement Six Sigma techniques and achieve a process capability of 1.5 or better. While effective for large companies, Six Sigma can be difficult for small businesses to implement due to infrastructure and training costs.
This document provides an overview of Six Sigma and statistical process control techniques. It defines Six Sigma as a methodology for reducing defects in processes and improving quality. Key aspects of Six Sigma covered include its history and development at Motorola, the DMAIC and DMADV methodologies, levels of certification like Green Belt and Black Belt, and criticisms of the approach. Statistical process control charts and their use in measuring process variation and detecting sources of defects are also summarized.
The document discusses Six Sigma, which is a quantitative quality control method used to improve business processes. It aims to reduce defects by measuring and analyzing processes to identify issues and opportunities for improvement. The key aspects covered are the DMAIC model of define, measure, analyze, improve, control; a focus on customers and data-driven decision making; process management; and creating a closed-loop system to continuously monitor performance and drive improvement.
Six Sigma is a set of practices used to improve business processes and eliminate defects. It aims to improve quality by identifying and removing causes of defects. Six Sigma seeks a process that produces no more than 3.4 defects per million opportunities. Projects use quality management methods and have financial targets. Six Sigma originated from manufacturing but expanded to other industries. It establishes experts within companies to lead projects through phases like Define, Measure, Analyze, Improve, and Control or Design, Measure, Analyze, Design, and Verify.
A term (Greek) used in statistics to represent standard deviation from mean value, an indicator of the degree of variation in a set of a process.
Sigma measures how far a given process deviates from perfection. Higher sigma capability, better performance
Six Sigma - A highly disciplined process that enables organizations deliver nearly perfect products and services.
The figure of six arrived statistically from current average maturity of most business enterprises
A philosophy and a goal: as perfect as practically possible.
A methodology and a symbol of quality
This document provides an overview of Six Sigma, including:
- What Six Sigma is and how it originated at Motorola and GE
- The DMAIC methodology for process improvement and DMADOV for creating new processes
- How Six Sigma aims to reduce defects through statistical analysis and achieving 6 sigma capability
- Key roles in a Six Sigma organization such as Black Belts, Green Belts, and Master Black Belts
The document discusses the master production schedule (MPS), which translates the sales and operations plan into a statement of the specific products and quantities to be manufactured over time. It considers factors like capacity, costs, and resources to determine when products will be available. The MPS forms the basis for production activities and trade-offs between production and sales. It aims to provide stability while allowing for changes as more information becomes available.
Six Sigma is a methodology that aims to improve processes and minimize defects. It uses a data-driven approach called DMAIC (Define, Measure, Analyze, Improve, Control) to identify and address sources of variation. The goal of Six Sigma is to achieve nearly perfect processes with fewer than 3.4 defects per million opportunities. It was developed by Motorola to improve quality and has since been widely adopted. Key aspects of Six Sigma include defining problems, measuring processes, analyzing sources of variation, improving processes, and controlling improvements.
B.pharm 7th sem Six Sigma ppt.
Six Sigma concept, objectives, methodologies, differences, implementation, roles, application, hurdles, advantages and disadvantages. of the Six Sigma concept.
It has a great impact on industries to achieve profit. Improve business processes and reduce defects.
Six Sigma is a quality-control methodology developed by Motorola in 1986 that uses a data-driven approach to limit defects and reduce cycle times. It aims for near perfect production and service delivery by targeting no more than 3.4 defects per million opportunities. The Six Sigma methodology involves defining, measuring, analyzing, improving, and controlling processes and outcomes through statistical methods. It can be applied across various business functions and industries using two main approaches - DMAIC for improving existing processes and DMADV for designing new processes.
Six Sigma is a set of techniques and strategies aimed at process improvement. It uses data and statistical analysis to identify and eliminate defects in manufacturing and business processes. The goal of Six Sigma is to achieve close to zero defects by reducing variation and errors. It aims for no more than 3.4 defects per million opportunities. Six Sigma provides a rigorous methodology for defining, measuring, analyzing, improving, and controlling process performance to drive customer satisfaction and increase profits.
Lean Six Sigma is a methodology that combines Lean and Six Sigma to improve processes and eliminate waste. It uses tools like DMAIC (Define, Measure, Analyze, Improve, Control) and 5S (Sort, Straighten, Shine, Standardize, Sustain) to systematically identify and remove causes of defects and minimize variability in processes. A case study on implementing Lean Six Sigma in a call center showed improvements like increasing the actualization rate from 2.6% to 20% and updating procedures to better address customer issues. The future plan is to optimize billing processes and further improve call center quality and efficiency.
- The document discusses Lean Sigma, a customer-focused strategy that integrates Six Sigma tools and Lean principles to improve processes and drive cultural change.
- It explains how to apply Lean Sigma using the DMAIC process (Define, Measure, Analyze, Improve, Control) to supplement validation activities and reduce costs.
- An example is given of using Lean Sigma tools like Critical to Quality measurements to design validation testing protocols focused on the customer's most important needs.
How does Six Sigma Help in Better Decision Making in Business.pdfMr. Business Magazine
Six sigma is a set of tools or techniques to improve the business process. One methodology that has proven instrumental in this pursuit is Six sigma, a data-driven approach aimed at minimizing defects and variations in processes.
Six Sigma is a data-driven methodology that aims to eliminate defects and variability in processes. It originated at Motorola in 1986 and focuses on reducing process variation. The document discusses Six Sigma's key concepts, methodologies (DMAIC and DMADV), roles, and applications in industries like textiles. It presents a case study on how a textile company used Six Sigma's DMAIC approach to improve its fabric dyeing process and reduce defects, focusing on identifying and addressing root causes of variability. Six Sigma's structured approach helped the company achieve significant quality and production improvements.
The document provides an overview of Six Sigma, including:
1) It defines Six Sigma as a methodology for continuous improvement and creating high quality products and processes using statistical tools.
2) It discusses the origins and growth of Six Sigma at Motorola and GE in the 1980s-1990s.
3) It describes the DMAIC methodology used for process improvement projects and the roles of Master Black Belts, Black Belts, and Green Belts in a Six Sigma organization.
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.
This article is the brief of need of Six Sigma in any organization. It helps to undergo the process improvement by reducing cost and increasing value. Helps to identify for defective products and any variation in the process which do not add value to customer needs.
This document provides an overview of Six Sigma, a quality improvement program. It defines Six Sigma as a statistical measure that aims for 3.4 defects per million opportunities. The document outlines the DMAIC methodology used in Six Sigma, which stands for Define, Measure, Analyze, Improve, and Control. It is used to improve existing business processes. The DMADV methodology is also introduced, which is used for new product or process design. In conclusion, Six Sigma is a data-driven approach that systematically works to reduce defects and variability, improving quality and profitability through removing the causes of defects in processes.
Six Sigma quality tool in management studiesTamilselvan S
Six Sigma is a data-driven methodology for process improvement that aims to reduce defects. It follows the DMAIC cycle of define, measure, analyze, improve, and control. The methodology was developed by Motorola in the 1980s and focuses on minimizing process variation to produce no more than 3.4 defects per million opportunities. Projects use belts ranging from Green to Black to Master Black Belt to implement Six Sigma techniques and achieve a process capability of 1.5 or better. While effective for large companies, Six Sigma can be difficult for small businesses to implement due to infrastructure and training costs.
This document provides an overview of Six Sigma and statistical process control techniques. It defines Six Sigma as a methodology for reducing defects in processes and improving quality. Key aspects of Six Sigma covered include its history and development at Motorola, the DMAIC and DMADV methodologies, levels of certification like Green Belt and Black Belt, and criticisms of the approach. Statistical process control charts and their use in measuring process variation and detecting sources of defects are also summarized.
The document discusses Six Sigma, which is a quantitative quality control method used to improve business processes. It aims to reduce defects by measuring and analyzing processes to identify issues and opportunities for improvement. The key aspects covered are the DMAIC model of define, measure, analyze, improve, control; a focus on customers and data-driven decision making; process management; and creating a closed-loop system to continuously monitor performance and drive improvement.
Six Sigma is a set of practices used to improve business processes and eliminate defects. It aims to improve quality by identifying and removing causes of defects. Six Sigma seeks a process that produces no more than 3.4 defects per million opportunities. Projects use quality management methods and have financial targets. Six Sigma originated from manufacturing but expanded to other industries. It establishes experts within companies to lead projects through phases like Define, Measure, Analyze, Improve, and Control or Design, Measure, Analyze, Design, and Verify.
A term (Greek) used in statistics to represent standard deviation from mean value, an indicator of the degree of variation in a set of a process.
Sigma measures how far a given process deviates from perfection. Higher sigma capability, better performance
Six Sigma - A highly disciplined process that enables organizations deliver nearly perfect products and services.
The figure of six arrived statistically from current average maturity of most business enterprises
A philosophy and a goal: as perfect as practically possible.
A methodology and a symbol of quality
This document provides an overview of Six Sigma, including:
- What Six Sigma is and how it originated at Motorola and GE
- The DMAIC methodology for process improvement and DMADOV for creating new processes
- How Six Sigma aims to reduce defects through statistical analysis and achieving 6 sigma capability
- Key roles in a Six Sigma organization such as Black Belts, Green Belts, and Master Black Belts
The document discusses the master production schedule (MPS), which translates the sales and operations plan into a statement of the specific products and quantities to be manufactured over time. It considers factors like capacity, costs, and resources to determine when products will be available. The MPS forms the basis for production activities and trade-offs between production and sales. It aims to provide stability while allowing for changes as more information becomes available.
Six Sigma is a methodology that aims to improve processes and minimize defects. It uses a data-driven approach called DMAIC (Define, Measure, Analyze, Improve, Control) to identify and address sources of variation. The goal of Six Sigma is to achieve nearly perfect processes with fewer than 3.4 defects per million opportunities. It was developed by Motorola to improve quality and has since been widely adopted. Key aspects of Six Sigma include defining problems, measuring processes, analyzing sources of variation, improving processes, and controlling improvements.
The document discusses quality design tools and techniques for goods and services, including Six Sigma and its DMAIC and DFSS methodologies. It describes Quality Function Deployment (QFD) and its use of a house of quality matrix to translate customer requirements into technical requirements. The house of quality example outlines the steps to build the matrix for designing a new car based on customer input.
This document provides an overview of quality management tools and techniques. It discusses common tools like check sheets, histograms, Pareto diagrams, cause-and-effect diagrams, flow charts, scatter diagrams, and control charts. It then uses these tools to solve a case study where an online retail company's revenue and customer satisfaction have declined. Potential root causes are identified through surveys and Pareto analysis. Solutions are generated, evaluated, implemented, and verified to address issues like late deliveries and poor user experience.
A bill of lading is a legal document issued by a carrier to a shipper that details the type, quantity, and destination of goods being transported. It serves as a receipt and establishes an agreement between the shipper and carrier, outlining the terms and conditions of transport. There are various types of bills of lading for different modes and purposes of transport, such as negotiable, non-negotiable, clean, and order bills of lading. Choosing the correct bill of lading is important to facilitate delivery and locate goods if lost during shipping.
The document discusses key concepts in international commercial law regarding the carriage of goods:
1. It defines carriage of goods contracts and discusses types of carriage including unimodal, multimodal, and carriage by sea, air, or road.
2. It outlines the carrier's responsibilities, including for delay, misdelivery, diversion, dangerous goods, and carriage by multiple carriers.
3. It discusses important concepts like bills of lading, freight agents, the Hague Rules which established carrier liability standards, and a carrier's role as warehouseman or bailee before and after carriage.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
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A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
2. WHAT IS SIX SIGMA? HOW CAN IT AFFECT
YOUR ORGANIZATION?
WHO WILL BE INVOLVE
WITH THE PROCESS?
3. Sigma Defined
The Sigma Level is a key indicator of
a process’s capability to meet what
your customer wants.
Generally, the higher the Sigma
Level, the better the process’s
capability.
The sigma are way of measuring
perfection.
4. Here is the commonly accepted process
capability benchmarks in terms of Sigma
Levels:
• 1 Sigma: 68.27% of the process output
meets customer requirements.
• 3 Sigma: 99.73% of the process output
meets customer requirements.
• 4 Sigma: 99.9937% of the process output
meets customer requirements.
• 6 Sigma: 99.99966% of the process output
meets customer requirements.
5. Example:
3 sigma 6 sigma
93.32% perfection 99.9997% perfection
200,000 incorrect drug prescriptions every 1
year
1 incorrect drug prescription every 25
years
6. What Is Six Sigma?
• https://www.youtube.com/watch?v=4EDYfSl-fmc&t=19s
7. Six sigma
The term "Six Sigma" refers to a statistical measure of how far a process deviates from
perfection.
A process that operates at six sigma has a failure rate of only 0.00034%, which means it
produces virtually no defects.
Six Sigma was developed by Motorola in the 1980s, and it has since been adopted by
many other companies around the world, including General Electric, Toyota, and Amazon.
It is used in industries such as manufacturing, healthcare, finance, and service industries
to improve customer satisfaction, reduce costs, and increase profits.
8. Continue…
Six Sigma is a set of methodologies and tools used to improve business processes
by reducing defects and errors, minimizing variation, and increasing quality and
efficiency.
The goal of Six Sigma is to achieve a level of quality that is nearly perfect, with
only 3.4 defects per million opportunities.
This is achieved by using a structured approach called DMAIC (Define, Measure,
Analyze, Improve, Control) to identify and eliminate causes of variation and
improve processes.
9. What Is Lean Six Sigma?
• Lean Six Sigma is a methodology that combines two powerful
process improvement techniques: Lean and Six Sigma.
• Lean focuses on minimizing waste and maximizing efficiency
by identifying and eliminating non-value-adding activities. This
involves streamlining processes, reducing defects, improving
quality, and optimizing resources to deliver more value with
less effort.
• Six Sigma is a statistical approach to process improvement
that aims to reduce variation and defects by using data-driven
decision making. It involves defining, measuring, analyzing,
improving, and controlling processes to achieve consistent
and predictable results.
• By combining the strengths of these two methodologies, Lean
Six Sigma provides a comprehensive approach to process
improvement that can be applied to any industry or sector.
10. The Six Sigma Methodology
6 Sigma
DMAIC
Define Measure Analyze Improve Control
DMADV
Define Measure Analyze Design Verify
11. The Six Sigma
Methodology
DMAIC is a data-driven method used to improve existing
products or services for better customer satisfaction.
DMAIC is applied in the manufacturing of a product or
delivery of a service.
DMADV is a part of the Design for Six Sigma (DFSS)
process used to design or re-design different processes
of product manufacturing or service delivery. DMADV is
employed when existing processes do not meet
customer conditions, even after optimization, or when it
is required to develop new methods. It is executed by Six
Sigma Green Belts and Six Sigma Black Belts and under
the supervision of Six Sigma Master Black Belts.
12. DEFINE
The Six Sigma process begins with a customer-centric
approach.
Step 1: The business problem is defined from the
customer perspective.
Step 2: Goals are set. What do you want to achieve?
What are the resources you will use to achieve the
goals?
Step 3: Map the process. Verify with the stakeholders
that you are on the right track
13. MEASURE
The second phase is focused on the metrics of the project and
the tools used in the measurement. How can you improve? How
can you quantify this?
Step 1: Measure your problem in numbers or with supporting
data.
Step 2: Define performance yardstick. Fix the limits for "Y.“
Step 3: Evaluate the measurement system to be used. Can it help
you achieve your outcome?
14. ANALYZE
The third phase analyzes the process to discover the
influencing variables.
Step 1: Determine if your process is efficient and
effective. Does the process help achieve what you need?
Step 2: Quantify your goals in numbers. For instance,
reduce defective goods by 20%.
Step 3: Identify variations using historical data.
15. IMPROVE
This process investigates how the changes in "X" impact "Y." This
phase is where you identify how you can improve the process
implementation.
Step 1: Identify possible reasons. Test to identify which of the "X"
variables identified in Process III influence "Y.“
Step 2: Discover relationships between the variables.
Step 3: Establish process tolerance, defined as the precise
values that certain variables can have, and still fall within
acceptable boundaries, for instance, the quality of any given
product. Which boundaries need X to hold Y within
specifications? What operating conditions can impact the
outcome? Process tolerances can be achieved by using tools
like robust optimization and validation set.
16. CONTROL
In this final phase, you determine that the performance
objective identified in the previous phase is well
implemented and that the designed improvements are
sustainable.
Step 1: Validate the measurement system to be used.
Step 2: Establish process capability. Is the goal being met?
For instance, will the goal of reducing defective goods by
20 percent be achieved?
Step 3: Once the previous step is satisfied, implement the
process.
18. The Six Sigma Tools
Cause and
Effect Analysis
Flow Chart Pareto Chart Histogram
Check Sheet Scatter Plot Control Chart
19. Six Sigma Levels
• The six sigma training
levels conform to specified
training requirements,
education criteria, job
standards, and eligibility.
Editor's Notes
DMAIC-It is the acronym for the five phases: D – Define, M – Measure, A – Analyse, I – Improve, C – Control.
Brainstorming- involves bouncing ideas and generating creative ways to approach a problem through intensive freewheeling group discussions.
5 Whys technique-the question "why" is asked, again and again, finally leading up to the core issue.
"voice of the customer" or customer feedback. The voice of the customer technique is used in the "define' phase of the DMAIC method, usually to further define the problem to be addressed.
5S system-removing waste and eliminating bottlenecks from inefficient tools, equipment, or resources in the workplace. The five steps used are Seiri (Sort), Seiton (Set In Order), Seiso (Shine), Seiketsu (Standardize), and Shitsuke (Sustain).
Kaizen (Continuous Improvement)-It is the practice continuously monitoring, identifying, and executing improvements. This is a particularly useful practice for the manufacturing sector. Collective and ongoing improvements ensure a reduction in waste, as well as immediate change whenever the smallest inefficiency is observed.
Benchmarking- is the technique that employs a set standard of measurement. It involves making comparisons with other businesses to gain an independent appraisal of the given situation. Benchmarking may involve comparing important processes or departments within a business (internal benchmarking), comparing similar work areas or functions with industry leaders (functional benchmarking), or comparing similar products and services with that of competitors (competitive benchmarking).
Poka-yoke (Mistake Proofing)-This technique's name comes from the Japanese phrase meaning "to avoid errors," and entails preventing the chance of mistakes from occurring. In the poka-yoke technique, employees spot and remove inefficiencies and human errors during the manufacturing process.