Chuck Blair, Regional Automotive Program Manager, and Mike Brannock, Automotive SBU Director, go through the highlights of the changes from TS 16949 to IATF 16949.
ISO13485 Awareness Training (9-10th November 2021).pptxssuserd5e406
This document provides an overview and summary of the requirements for ISO 13485:2016 quality management systems. It discusses the typical processes required for any company, the system compliance requirements, documentation requirements including the quality manual and medical device file, and management responsibilities such as management review and commitment. Key clauses from ISO 13485:2016 are summarized, including design and development, risk management, and documentation control.
The document discusses the upcoming revisions to the ISO 9001 standard in 2015. It provides an overview of the history and past revisions of ISO 9001 since 1987. The new 2015 version will feature reorganized clauses and revised quality principles. It also outlines some of the proposed changes to specific clauses regarding context of the organization, leadership, planning, support, operations, performance evaluation, and continual improvement. The presentation encourages organizations to prepare for the changes coming with the new ISO 9001:2015 standard.
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
Corrective Actions and Risk management for ISO 9001:2015sundaybizsys
The Quality Database is a simple, inexpensive ISO 9001 compliant program that allows small businesses to efficiency manage the Quality System. The database tracks corrective and preventive actions, internal audit tracking, safety improvement, supplier corrective actions, continual improvement projects and risk management. Compile and analyze Customer Survey results. Document QMS review meetings and results. The program is ideal for small businesses striving for ISO 9001 and AS9100 compliance.
El documento describe la organización de un seminario sobre Lean Six Sigma en PYMES. El seminario incluirá presentaciones sobre las actividades del Centro de Calidad UTN FRBA, conceptos generales de Lean y Six Sigma, un caso práctico de una empresa de ventiladores, y el temario e implementación del enfoque Lean Six Sigma.
The document summarizes changes made from ISO/TS 16949 to the new IATF 16949 standard. Key changes include strengthening requirements around product safety, corporate responsibility, process reviews, and risk analysis. A multi-phase revision process was used and over 1,700 stakeholder comments were received. The goal of the changes is to better address quality management system needs in the automotive industry and prevent quality problems.
The document contains an implementation plan for IATF 16949:2016 certification over four quarters from May 2017 to April 2018. It includes planning activities such as obtaining management support, establishing an implementation team, defining the organization's context and scope, reviewing quality policies and procedures, and identifying mandatory documentation requirements. Implementation activities involve developing and approving the required documentation, providing awareness training, conducting internal audits and management reviews, and completing stage one and two certification audits to achieve certification.
Chuck Blair, Regional Automotive Program Manager, and Mike Brannock, Automotive SBU Director, go through the highlights of the changes from TS 16949 to IATF 16949.
ISO13485 Awareness Training (9-10th November 2021).pptxssuserd5e406
This document provides an overview and summary of the requirements for ISO 13485:2016 quality management systems. It discusses the typical processes required for any company, the system compliance requirements, documentation requirements including the quality manual and medical device file, and management responsibilities such as management review and commitment. Key clauses from ISO 13485:2016 are summarized, including design and development, risk management, and documentation control.
The document discusses the upcoming revisions to the ISO 9001 standard in 2015. It provides an overview of the history and past revisions of ISO 9001 since 1987. The new 2015 version will feature reorganized clauses and revised quality principles. It also outlines some of the proposed changes to specific clauses regarding context of the organization, leadership, planning, support, operations, performance evaluation, and continual improvement. The presentation encourages organizations to prepare for the changes coming with the new ISO 9001:2015 standard.
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
Corrective Actions and Risk management for ISO 9001:2015sundaybizsys
The Quality Database is a simple, inexpensive ISO 9001 compliant program that allows small businesses to efficiency manage the Quality System. The database tracks corrective and preventive actions, internal audit tracking, safety improvement, supplier corrective actions, continual improvement projects and risk management. Compile and analyze Customer Survey results. Document QMS review meetings and results. The program is ideal for small businesses striving for ISO 9001 and AS9100 compliance.
El documento describe la organización de un seminario sobre Lean Six Sigma en PYMES. El seminario incluirá presentaciones sobre las actividades del Centro de Calidad UTN FRBA, conceptos generales de Lean y Six Sigma, un caso práctico de una empresa de ventiladores, y el temario e implementación del enfoque Lean Six Sigma.
The document summarizes changes made from ISO/TS 16949 to the new IATF 16949 standard. Key changes include strengthening requirements around product safety, corporate responsibility, process reviews, and risk analysis. A multi-phase revision process was used and over 1,700 stakeholder comments were received. The goal of the changes is to better address quality management system needs in the automotive industry and prevent quality problems.
The document contains an implementation plan for IATF 16949:2016 certification over four quarters from May 2017 to April 2018. It includes planning activities such as obtaining management support, establishing an implementation team, defining the organization's context and scope, reviewing quality policies and procedures, and identifying mandatory documentation requirements. Implementation activities involve developing and approving the required documentation, providing awareness training, conducting internal audits and management reviews, and completing stage one and two certification audits to achieve certification.
What is Lean Six Sigma? Lean Six Sigma Explained - Invensis LearningInvensis Learning
This presentation on What is Lean Six Sigma? explains the need of Lean Six Sigma, and how it can be implemented along with its benefits.
Areas Covered:
1. What is Lean Six Sigma?
2. Why Lean Six Sigma?
3. Understanding Lean & Six Sigma
4. What are Wastes/ Downtime?
4. DMAIC vs DMADV
#WhatIsLeanSixSigma #LeanSixSigma #InvensisLearning
Subscribe to our channel: https://bit.ly/3dmqNQS
Click here to check upcoming webinars on Quality Management: https://goo.gl/M9v8oP
About Invensis Learning:
Invensis Learning is a pioneer in providing globally-recognized certification training courses for individuals and enterprises worldwide. We have trained and certified 15,000+ professionals from 50+ courses through multiple training delivery modes.
Invensis Learning provides live online training on Lean Six Sigma Certification Belts. These Lean Six Sigma courses are accredited by IASSC.
Lean Six Sigma Yellow Belt: https://bit.ly/3o9SD8H
Lean Six Sigma Green Belt: https://bit.ly/2VmvdAM
Lean Six Sigma Black Belt: https://bit.ly/3lm8WO1
Other Lean Six Sigma Trainings: https://bit.ly/3g0c54T
For more information please visit our website: https://www.invensislearning.com
Follow Us on:
Facebook: https://www.facebook.com/invensislearn/
LinkedIn: https://www.linkedin.com/company/inve...
Twitter: https://twitter.com/invensiselearn/
The 5 Whys is a root cause analysis tool used to identify the underlying cause of problems. It involves asking "why" five times to get to the root cause. You start with the problem statement and ask why it occurred, then why the answer to the previous why occurred, until you identify the root cause. It is important to clearly define the problem, follow the thought process through five whys without jumping to conclusions, and ensure any root cause identified can reproduce the problem. The outcome is the root cause rather than just resolving the problem.
The document provides an overview of IATF 16949:2016, the globally recognized quality management standard for the automotive industry. It discusses the history and evolution of the standard, from its origins in standards developed by major automakers in the 1990s to the current 2016 version. The key changes in IATF 16949:2016 include an emphasis on risk-based thinking, specific customer requirements, competence of auditors, product safety, manufacturer feasibility, and warranty management. The requirements of the standard are based on ISO 9001:2015's High Level Structure of 10 clauses and focus on continual improvement through a PDCA approach.
Here are the key steps to conduct a variable MSA:
1. Select a part/product with known measurements.
2. Select operators who will use the measurement system.
3. Have operators measure the part multiple times.
4. Analyze the data using one of the methods:
- Bias study to determine if the measurement system is accurate.
- Linearity study to determine if measurements are proportional to actual size.
- Stability study to determine if measurements drift over time.
- Repeatability & reproducibility study to determine precision between and within operators.
5. Compare results to customer specifications for capability. Ensure Cp, Cpk are greater than 1.33.
The document provides an overview of key changes between ISO/TS 16949 and IATF 16949, including additional requirements for customer-specific requirements, product safety, traceability, embedded software, and warranty management. It discusses the goals and structure of IATF 16949 based on the PDCA cycle. Finally, it outlines specific modifications and new requirements for each clause, with a focus on changes to context of the organization, leadership, planning, support, operation, performance evaluation, and improvement.
The document discusses VDA 6.3, a standard for quality management system audits. It describes the standard's focus on assessing process performance rather than just conformance. The VDA 6.3 audit analyzes processes to detect risks and weaknesses. It evaluates four key elements: process responsibility, target orientation, communication, and risk identification. The audit also assesses processes across the product lifecycle from project planning to after-sales service. Organizations are rated on a color-coded scale after the audit to indicate capabilities and needs for improvement.
The document outlines the Digital Six Sigma DMAIC improvement process which includes defining opportunities, measuring performance, analyzing opportunities, improving performance, and controlling performance. It lists the main activities and key deliverables for each phase such as developing a team charter, process maps, measurement plans, identifying and validating root causes, generating and selecting solutions, and implementing and controlling solutions.
This document discusses process audits in the automobile industry. It highlights two important mindsets before an audit: having ownership over your business and knowing what you know as well as what you don't know. It then provides details on typical organization structures for audits and compares different types of audits. The rest of the document focuses on executing process audits according to the VDA6.3 standard, including checking previous reports, analyzing data and processes, developing a detailed audit plan, and conducting the on-site audit. Benefits of using the VDA6.3 standard are also listed, such as providing a measurable assessment and identifying key processes to reduce risks.
How to take organizations to higher testing maturity suresh bose anagha mahaj...Anagha Mahajan
Description:
For the past many years, the focus of the industry was on improving quality by writing better code and using automation and engineering. These efforts did show results but we are still far from an illusive zero-defect state while fulfilling expected time to market.
In order to further boost software quality improvement efforts, the focus has now shifted to improving testing processes. Test Maturity Model integration (TMMi) is a detailed model for test process assessment and improvement. TMMi staged model contains stages or levels that determine the maturity of an organization and lays down roadmap for moving from one maturity level to next. As the processes evolve, an organization passes from adhoc (L1) to Optimized levels (L5). Application of TMMi will lead organizations to highly mature test process, reduced rework (about 10%), increase in defect removal efficiency (about 85%), higher productivity (about 10 test cases per day or 15% higher) and faster time to market.
Learning Objectives:
1. How can your organization improve the effectiveness of testing
2. How can you sustain testing maturity
3. What is the improvement roadmap for the implementation journey to improve testing processes
4. Why TMMI is preferred to CMMI for any testing organization
This document discusses the 8D problem solving methodology used in the automotive industry. 8D stands for 8 disciplines or 8 steps and was introduced by Ford Motor Company in the late 1980s as a systemic problem solving approach. The 8 steps include: 1) establishing a multi-skilled team; 2) defining the problem; 3) implementing containment actions; 4) identifying the root cause; 5) choosing and verifying permanent corrective actions; 6) implementing the corrective actions; 7) preventing recurrence; and 8) congratulating the team. Key aspects of the 8D process involve using tools like Ishikawa diagrams, 5 whys, failure tree analysis, and reverse engineering to thoroughly analyze problems and identify root causes.
This document provides information about an ISO 9001:2008 Lead Auditor training course, including details about the course content, assessment, delivery style, and auditor requirements. The course covers quality management principles, ISO standards, auditing planning and techniques, and continual improvement. It emphasizes a process-based approach and includes workshops to develop process-based checklists. The document outlines auditor competencies including business and technical knowledge, as well as attributes like impartiality and ethical behavior.
IATF 16949:2016 is an automotive quality management system standard that is based on ISO 9001:2015 with additional automotive industry requirements. It aims to prevent defects, reduce variation and waste, and promote continual improvement. The standard contains 10 clauses covering quality management principles, leadership involvement, risk-based planning, resource management, production control, performance evaluation, and continual improvement. Key aspects include supplier management, design and development processes, internal auditing, management reviews, and corrective and preventive action.
This document provides an introduction to Six Sigma and the Six Sigma Green Belt certification. It discusses the origins and evolution of Six Sigma at Motorola and GE in the 1980s and 1990s. It also outlines the Six Sigma DMAIC methodology, various Six Sigma roles, Lean principles, and the ASQ Six Sigma Green Belt certification process and body of knowledge topics.
This document provides an overview and description of PROCESS AUDIT INNOVATOR software. The software was developed for the automotive industry and provides capabilities for quality planning, risk analysis, process auditing, audit scheduling, corrective action monitoring, and training. It allows for advanced quality auditing functions as well as risk analysis, process gap identification, and corrective action management. The document outlines the software's key modules and functions, system requirements, pricing structure, and support services.
Certification Body Approach to ISO 9001:2015 by NQANQA
ISO 9001:2015 and ISO 14001:2015 are one year old this month! Here we discuss our experiences and lessons learnt during the first year of assessments to the 2015 standards.
The document discusses the upcoming changes to the ISO 9001 standard in its 2015 version. It provides an overview of the history and revisions of ISO 9001 since 1987. The key changes in ISO 9001:2015 include a revised set of seven quality management principles, reorganization of the clauses into ten sections, and terminology changes. The presentation encourages organizations to prepare for the changes coming in ISO 9001:2015.
Xray & Xporter were in Austria: Jira & Confluence Solutions Day 2018Xpand IT
The Xray and Xporter Winter Tour kicked off last Wednesday with the Jira & Confluence Solutions. During Sérgio Freire’s (Xray Product Manager) presentation, he showed Jira as a Test Management tool and how to empower test teams to manage and deliver rock-solid software solutions with Xray. If you missed it or you want to know more about Testing in Jira, you can check it here.
For more visit https://www.xpand-addons.com/
Lean six sigma explained: Beginners trainingQualsys Ltd
A free online introduction to Lean six sigma principles.
Includes lean six sigma tools, philosophy, disciplines, history overview of lean six sigma, applying DMAIC for complex decision making, using Qualsys EQMS software for Lean Six Sigma.
El documento describe las prácticas modernas de pruebas basadas en Lean/Agile, incluyendo la automatización de pruebas. Explica la pirámide de automatización de pruebas, con las pruebas unitarias automatizadas en la base. También cubre la integración continua, las pruebas a nivel de API y de interfaz de usuario, usando marcos como Selenium WebDriver.
These slides were presented at the Use R! 2011 Conference, held in the University of Warwick (Coventry) in August 2011. It was one of the presentations of the Lightning Talks session.
What is Lean Six Sigma? Lean Six Sigma Explained - Invensis LearningInvensis Learning
This presentation on What is Lean Six Sigma? explains the need of Lean Six Sigma, and how it can be implemented along with its benefits.
Areas Covered:
1. What is Lean Six Sigma?
2. Why Lean Six Sigma?
3. Understanding Lean & Six Sigma
4. What are Wastes/ Downtime?
4. DMAIC vs DMADV
#WhatIsLeanSixSigma #LeanSixSigma #InvensisLearning
Subscribe to our channel: https://bit.ly/3dmqNQS
Click here to check upcoming webinars on Quality Management: https://goo.gl/M9v8oP
About Invensis Learning:
Invensis Learning is a pioneer in providing globally-recognized certification training courses for individuals and enterprises worldwide. We have trained and certified 15,000+ professionals from 50+ courses through multiple training delivery modes.
Invensis Learning provides live online training on Lean Six Sigma Certification Belts. These Lean Six Sigma courses are accredited by IASSC.
Lean Six Sigma Yellow Belt: https://bit.ly/3o9SD8H
Lean Six Sigma Green Belt: https://bit.ly/2VmvdAM
Lean Six Sigma Black Belt: https://bit.ly/3lm8WO1
Other Lean Six Sigma Trainings: https://bit.ly/3g0c54T
For more information please visit our website: https://www.invensislearning.com
Follow Us on:
Facebook: https://www.facebook.com/invensislearn/
LinkedIn: https://www.linkedin.com/company/inve...
Twitter: https://twitter.com/invensiselearn/
The 5 Whys is a root cause analysis tool used to identify the underlying cause of problems. It involves asking "why" five times to get to the root cause. You start with the problem statement and ask why it occurred, then why the answer to the previous why occurred, until you identify the root cause. It is important to clearly define the problem, follow the thought process through five whys without jumping to conclusions, and ensure any root cause identified can reproduce the problem. The outcome is the root cause rather than just resolving the problem.
The document provides an overview of IATF 16949:2016, the globally recognized quality management standard for the automotive industry. It discusses the history and evolution of the standard, from its origins in standards developed by major automakers in the 1990s to the current 2016 version. The key changes in IATF 16949:2016 include an emphasis on risk-based thinking, specific customer requirements, competence of auditors, product safety, manufacturer feasibility, and warranty management. The requirements of the standard are based on ISO 9001:2015's High Level Structure of 10 clauses and focus on continual improvement through a PDCA approach.
Here are the key steps to conduct a variable MSA:
1. Select a part/product with known measurements.
2. Select operators who will use the measurement system.
3. Have operators measure the part multiple times.
4. Analyze the data using one of the methods:
- Bias study to determine if the measurement system is accurate.
- Linearity study to determine if measurements are proportional to actual size.
- Stability study to determine if measurements drift over time.
- Repeatability & reproducibility study to determine precision between and within operators.
5. Compare results to customer specifications for capability. Ensure Cp, Cpk are greater than 1.33.
The document provides an overview of key changes between ISO/TS 16949 and IATF 16949, including additional requirements for customer-specific requirements, product safety, traceability, embedded software, and warranty management. It discusses the goals and structure of IATF 16949 based on the PDCA cycle. Finally, it outlines specific modifications and new requirements for each clause, with a focus on changes to context of the organization, leadership, planning, support, operation, performance evaluation, and improvement.
The document discusses VDA 6.3, a standard for quality management system audits. It describes the standard's focus on assessing process performance rather than just conformance. The VDA 6.3 audit analyzes processes to detect risks and weaknesses. It evaluates four key elements: process responsibility, target orientation, communication, and risk identification. The audit also assesses processes across the product lifecycle from project planning to after-sales service. Organizations are rated on a color-coded scale after the audit to indicate capabilities and needs for improvement.
The document outlines the Digital Six Sigma DMAIC improvement process which includes defining opportunities, measuring performance, analyzing opportunities, improving performance, and controlling performance. It lists the main activities and key deliverables for each phase such as developing a team charter, process maps, measurement plans, identifying and validating root causes, generating and selecting solutions, and implementing and controlling solutions.
This document discusses process audits in the automobile industry. It highlights two important mindsets before an audit: having ownership over your business and knowing what you know as well as what you don't know. It then provides details on typical organization structures for audits and compares different types of audits. The rest of the document focuses on executing process audits according to the VDA6.3 standard, including checking previous reports, analyzing data and processes, developing a detailed audit plan, and conducting the on-site audit. Benefits of using the VDA6.3 standard are also listed, such as providing a measurable assessment and identifying key processes to reduce risks.
How to take organizations to higher testing maturity suresh bose anagha mahaj...Anagha Mahajan
Description:
For the past many years, the focus of the industry was on improving quality by writing better code and using automation and engineering. These efforts did show results but we are still far from an illusive zero-defect state while fulfilling expected time to market.
In order to further boost software quality improvement efforts, the focus has now shifted to improving testing processes. Test Maturity Model integration (TMMi) is a detailed model for test process assessment and improvement. TMMi staged model contains stages or levels that determine the maturity of an organization and lays down roadmap for moving from one maturity level to next. As the processes evolve, an organization passes from adhoc (L1) to Optimized levels (L5). Application of TMMi will lead organizations to highly mature test process, reduced rework (about 10%), increase in defect removal efficiency (about 85%), higher productivity (about 10 test cases per day or 15% higher) and faster time to market.
Learning Objectives:
1. How can your organization improve the effectiveness of testing
2. How can you sustain testing maturity
3. What is the improvement roadmap for the implementation journey to improve testing processes
4. Why TMMI is preferred to CMMI for any testing organization
This document discusses the 8D problem solving methodology used in the automotive industry. 8D stands for 8 disciplines or 8 steps and was introduced by Ford Motor Company in the late 1980s as a systemic problem solving approach. The 8 steps include: 1) establishing a multi-skilled team; 2) defining the problem; 3) implementing containment actions; 4) identifying the root cause; 5) choosing and verifying permanent corrective actions; 6) implementing the corrective actions; 7) preventing recurrence; and 8) congratulating the team. Key aspects of the 8D process involve using tools like Ishikawa diagrams, 5 whys, failure tree analysis, and reverse engineering to thoroughly analyze problems and identify root causes.
This document provides information about an ISO 9001:2008 Lead Auditor training course, including details about the course content, assessment, delivery style, and auditor requirements. The course covers quality management principles, ISO standards, auditing planning and techniques, and continual improvement. It emphasizes a process-based approach and includes workshops to develop process-based checklists. The document outlines auditor competencies including business and technical knowledge, as well as attributes like impartiality and ethical behavior.
IATF 16949:2016 is an automotive quality management system standard that is based on ISO 9001:2015 with additional automotive industry requirements. It aims to prevent defects, reduce variation and waste, and promote continual improvement. The standard contains 10 clauses covering quality management principles, leadership involvement, risk-based planning, resource management, production control, performance evaluation, and continual improvement. Key aspects include supplier management, design and development processes, internal auditing, management reviews, and corrective and preventive action.
This document provides an introduction to Six Sigma and the Six Sigma Green Belt certification. It discusses the origins and evolution of Six Sigma at Motorola and GE in the 1980s and 1990s. It also outlines the Six Sigma DMAIC methodology, various Six Sigma roles, Lean principles, and the ASQ Six Sigma Green Belt certification process and body of knowledge topics.
This document provides an overview and description of PROCESS AUDIT INNOVATOR software. The software was developed for the automotive industry and provides capabilities for quality planning, risk analysis, process auditing, audit scheduling, corrective action monitoring, and training. It allows for advanced quality auditing functions as well as risk analysis, process gap identification, and corrective action management. The document outlines the software's key modules and functions, system requirements, pricing structure, and support services.
Certification Body Approach to ISO 9001:2015 by NQANQA
ISO 9001:2015 and ISO 14001:2015 are one year old this month! Here we discuss our experiences and lessons learnt during the first year of assessments to the 2015 standards.
The document discusses the upcoming changes to the ISO 9001 standard in its 2015 version. It provides an overview of the history and revisions of ISO 9001 since 1987. The key changes in ISO 9001:2015 include a revised set of seven quality management principles, reorganization of the clauses into ten sections, and terminology changes. The presentation encourages organizations to prepare for the changes coming in ISO 9001:2015.
Xray & Xporter were in Austria: Jira & Confluence Solutions Day 2018Xpand IT
The Xray and Xporter Winter Tour kicked off last Wednesday with the Jira & Confluence Solutions. During Sérgio Freire’s (Xray Product Manager) presentation, he showed Jira as a Test Management tool and how to empower test teams to manage and deliver rock-solid software solutions with Xray. If you missed it or you want to know more about Testing in Jira, you can check it here.
For more visit https://www.xpand-addons.com/
Lean six sigma explained: Beginners trainingQualsys Ltd
A free online introduction to Lean six sigma principles.
Includes lean six sigma tools, philosophy, disciplines, history overview of lean six sigma, applying DMAIC for complex decision making, using Qualsys EQMS software for Lean Six Sigma.
El documento describe las prácticas modernas de pruebas basadas en Lean/Agile, incluyendo la automatización de pruebas. Explica la pirámide de automatización de pruebas, con las pruebas unitarias automatizadas en la base. También cubre la integración continua, las pruebas a nivel de API y de interfaz de usuario, usando marcos como Selenium WebDriver.
These slides were presented at the Use R! 2011 Conference, held in the University of Warwick (Coventry) in August 2011. It was one of the presentations of the Lightning Talks session.
Six Sigma as a Quality Improvement Tool for Academic ProgramsEmilio L. Cano
The document discusses using Six Sigma as a quality improvement tool for academic programs. It aims to design and improve an Internal System Quality Assurance for a university to comply with accreditation standards. The authors extend the Six Sigma methodology, which uses the DMAIC strategy of Define, Measure, Analyze, Improve, Control to industrial quality processes, to academic processes. They develop a catalog of process typologies and apply Six Sigma to examples like defining quality policies and student selection. The goal is to systematically identify variations and continuously improve procedures.
Energy-efficient technology investments using a decision support system frame...Emilio L. Cano
This document presents an integrated framework for decision support systems using R. It describes using R and related packages to represent stochastic energy optimization problems, generate input files for solvers, analyze results, and produce reproducible reports. Stochastic models are developed and solved within this framework. The framework allows statistical analysis, graphical output, model equations, solver inputs/outputs, and comprehensive reports to be combined for modeling, analysis, and stakeholder communication.
Six Sigma Quality Using R: Tools and Training Emilio L. Cano
This document discusses using the statistical software R for Six Sigma quality improvement projects. It introduces Six Sigma methodology and the DMAIC problem-solving strategy. The presentation outlines how R can be used for Six Sigma tools and analysis, highlights useful R packages for Six Sigma, and describes efforts to spread the use of R for quality improvement.
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.
This document provides an overview of Lean Thinking and Six Sigma. It discusses how Lean and Six Sigma can be applied together to cut costs, improve quality, and speed up delivery through continuous process improvement. Lean focuses on eliminating waste and improving flow, while Six Sigma helps reduce process variation and defects. When combined, Lean and Six Sigma are more effective as they bring complementary approaches to process improvement. The document recommends using Lean first before Six Sigma in most cases. It also outlines some key principles of Lean, such as empowering people and taking a systems approach.
This document provides an overview of Six Sigma, including its objectives, methodology, and benefits. Six Sigma is a data-driven methodology for improving processes by reducing defects. It aims for nearly flawless process performance. The document outlines the DMAIC methodology of Define, Measure, Analyze, Improve, and Control used in Six Sigma. It also discusses key Six Sigma concepts like the cost of poor quality, sigma levels, and the roles of Champions, Black Belts and Green Belts in driving process improvement. Implementing Six Sigma can help organizations increase profits by improving customer satisfaction and reducing costs through lower defects.
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.
This is the first part in a series of slide shows on food safety risk assessment. Risk assessment is one of the three elements in the Risk Analysis Framework, and this presentation gives an introduction to the topic.
Six Sigma is a data-driven methodology for process improvement that focuses on reducing defects. It aims for near perfection by striving for no more than 3.4 defects per million opportunities. The document discusses the key principles and tools of Six Sigma including defining critical customer requirements, measuring processes and quality, analyzing data to identify sources of variation, improving processes by addressing key causes of defects, and controlling processes to sustain improvements. It also explains the DMAIC methodology for improving existing processes and DMADV for designing new processes.
The document provides an overview of Six Sigma, including its definition, goals and benefits. It describes the Six Sigma phases of Define, Measure, Analyze, Improve and Control (DMAIC) and some common tools used in each phase like process mapping, design of experiments and statistical process control. Key roles involved in Six Sigma projects include Champions, Process Owners, Black Belts and team members. Implementing Six Sigma can help reduce costs and defects while improving quality, customer satisfaction and profits.
Lean, Six Sigma, ToC using DMAIC project managementSimon Misiewicz
This presentation guides you through the DMAIC methodology that encompasses Lean, Six Sigma and ToC initiatives. There are five key stages of DMAIC. D = Design, where do you want to be? Create and communicate your vision, mission and objectives. M = Measure. What is to be measured and how? A = Analyse, what business process is to be analysed. Which process if changed would reap the biggest benefit? I = Improve, where are the improvements going to be made, what are the ideas and how will they be evaluated against your key objectives? C = Control, how are you going to control your process and people within it to ensure that they stick to the new way of doing things, what error proofing techniques can be built? What project management controls will you use? This presentation will guide you. Please contact me should you have any questions on simon@optimise-gb.com. Many thanks Simon Misiewicz
This presentation will provide insight into Watson’s DeepQA process, the complexities and
details of the DeepQA challenge, and how these tools and techniques can be applied in a clinical setting. Prototype tools will be presented that open conceptual frameworks for
delivering advanced analytics in the radiologist’s workplace that offer rapid access to critical, specific and highly relevant data with corresponding links to underlying evidence.
Digital health summit - Baylor Scott & White innovation panelNick van Terheyden
Overview of the status and need for Digital Health delivered at the Baylor Scott and White Digital Health Summit focusing on innovation and the risks and rewards and the innovation process
This document summarizes the Great Lakes Area .NET User Group meeting for October 21, 2009. It lists the 2009 executive officers including the president, vice president, secretary and treasurer. It also provides information on communications channels, an event sponsor, upcoming events, future meeting topics, job announcements, and ways to stay connected including through their website and social media.
This document outlines the details of the Great Lakes Area .NET Users Group (GANG) meeting for July 20, 2011. It includes the 2011 executive officers and volunteers, contact information, sponsors, discounts for members, upcoming meetings and events, and raffle prizes for attendees. The goals for 2011 are also stated, including cultivating ownership, attracting high-quality speakers, and increasing membership and sponsorship.
R and Shiny to support real estate appraisers: An expert algorithm implementa...Emilio L. Cano
This document describes an expert algorithm implementation for Automated Valuation Models (AVM) to help real estate appraisers value properties. The algorithm collects property characteristics and sale prices from online listings to find comparable properties in a similar way to a human appraiser. It uses an modified inverse distance weighting estimator to determine a property's value based on comparable properties found. The algorithm is implemented using R and Shiny to allow configuration of rules and provide an interactive interface for appraisers to explore estimation results. Ongoing work aims to improve precision through machine learning and geostatistics models.
Generación de materiales didácticos multiformato con bookdownEmilio L. Cano
Este documento describe cómo usar la herramienta bookdown para generar materiales didácticos en múltiples formatos. El objetivo es guiar a los estudiantes y proporcionar recursos atractivos y actualizables en varias plataformas. Se utiliza R Markdown para crear los documentos, que luego se compilan en formato libro usando bookdown. Esto permite incluir código R y resultados dinámicos. El resultado es un sitio web con los apuntes que los estudiantes pueden usar en diferentes dispositivos.
Unattended SVM parameters fitting for monitoring nonlinear profilesEmilio L. Cano
This document discusses using support vector machines (SVM) for unattended parameter fitting to monitor nonlinear profiles. It presents an illustrative example of using SVM regression to smooth measured density profiles of engineered wood boards. The key points are:
1) SVM regression requires selecting parameters C (regularization parameter) and ε (width of insensitive zone), which control the complexity and deviations of the model.
2) Methods are presented for unattended selection of C and ε based on properties of the input noise and data.
3) The SVM model is applied to smooth individual nonlinear profiles from measured wood board density data and identify potential outliers.
Appling Scrum to Organize University Degrees CourseworkEmilio L. Cano
The document discusses applying the Scrum framework to organize university coursework. Scrum is an agile project management framework typically used for software development. It involves sprints, daily stand-up meetings, product backlogs and user stories. The authors applied Scrum concepts like sprints and user stories to structure practical work for a university course. Students worked in scrum teams on assignments divided into sprints. They found Scrum helped organize their work and the teachers found it improved classroom work organization and planning.
Monitoring nonlinear profiles with {R}: an application to quality controlEmilio L. Cano
This document discusses using R to analyze nonlinear profiles. It introduces the SixSigma package for smoothing nonlinear profiles using support vector machines. An example is provided using particle board density data to create a prototype profile and identify out-of-control boards. Nonlinear profiles allow more complex quality characteristics to be modeled and can be used with Shewhart control charts.
Generación y corrección automática de trabajos evaluables personalizados con ...Emilio L. Cano
El documento describe un método para generar trabajos evaluables personalizados para estudiantes individuales utilizando el software R. El método genera datos y enunciados únicos para cada estudiante, crea archivos de trabajo en formato Excel, evalúa automáticamente los trabajos terminados y califica a los estudiantes de forma eficiente. El objetivo es proporcionar una evaluación justa y diferenciada que promueva métodos de enseñanza innovadores.
Talentyon: how to turn R expertise into business within the collaborative eco...Emilio L. Cano
Talentyon is a platform that connects data analytics experts with businesses seeking their expertise. It aims to address challenges like the talent crunch in analytics and the rise of freelancers by building a network of verified experts. The case study describes how Talentyon matched an industrial manager at a food company with an R expert, providing statistical training and support to improve the company's industrial processes. As a result, the company benefited from ongoing improvement projects using statistical methods, while the expert earned remuneration through the Talentyon network.
Las normas ISO como puerta de entrada de la Estadística en la empresaEmilio L. Cano
Una norma ISO está reconocida y aceptada internacionalmente. Son desarrolladas por expertos de todo el mundo a través de comités técnicos a los que pertenecen entidades de normalización nacionales como AENOR, que canaliza la participación española en la elaboración de normas. El subcomité AENOR de métodos estadísticos CTN66/SC3 participa en el comité técnico de ISO TC69 ``Applications of statistical methods''. El subcomité CTN66/SC3 participa en el desarrollo y adopción de normas internacionales en estadística, así como su traducción y adopción a nivel nacional como normas UNE-ISO. Algunas de las normas adoptadas como normas UNE-ISO tratan sobre Seis Sigma(serie ISO 13053), gráficos de control (serie ISO 7870), inspección por muestreo (series ISO 2589 e ISO 3951), vocabulario (serie ISO 3534), entre otras. La normalización proporciona beneficios directos a las empresas, y una manera de llevar la Estadística a las empresas es a través de las normas.
Las 7 herramientas básicas de la calidad con REmilio L. Cano
Este documento presenta las 7 herramientas básicas de la calidad con R. Describe cada una de las herramientas, incluyendo el diagrama de causa-efecto, la hoja de verificación, el gráfico de control, el histograma, el gráfico de Pareto, el gráfico de dispersión y la estratificación. Muestra cómo crear cada una de estas herramientas estadísticas básicas utilizando paquetes de R como qcc y SixSigma.
Análisis de inversiones energéticas en el ámbito del edificioEmilio L. Cano
El documento analiza las inversiones energéticas en edificios bajo condiciones de incertidumbre. Explica que los enfoques deterministas conducen a riesgos al no considerar la variabilidad. Propone el uso de modelos de optimización estocástica para gestionar el riesgo. Presenta el Sistema de Ayuda a la Decisión EnRiMa desarrollado para apoyar la toma de decisiones estratégicas a largo plazo en condiciones de incertidumbre.
Standardisation on Statistics: ISO Standards and R ToolsEmilio L. Cano
This document discusses standardization in statistics through ISO standards and how R statistical software can support them. It provides an overview of ISO/TC 69, which develops standards for statistical applications, and AENOR, Spain's standards body involved in adopting and managing statistical standards. The document concludes that data scientists can benefit from understanding both standards and using R, as R code is open source and can be easily verified, meeting requirements of standards like ISO 9001.
An integrated Solver Manager: using R and Python for energy systems optimizationEmilio L. Cano
1) Decision support systems are needed to address new challenges for building managers around energy planning given global changes and local needs.
2) A Solver Manager was developed to integrate optimization models and solvers in a flexible and extensible way for use in decision support systems.
3) An example energy systems optimization model is presented involving minimizing costs subject to capacity and demand constraints. The model is specified, an instance is generated with data, and the solution is obtained.
Calidad Seis Sigma con R: Aplicación a la docenciaEmilio L. Cano
This document discusses using R software to support Six Sigma methodology. It introduces reproducible research approaches for statistical training, provides examples using Sweave documents to integrate R code and LaTeX, and outlines an EADAPU training program covering Six Sigma phases and tools. The document also describes using R for process mapping, loss function analysis, and measurement system analysis for quality improvement projects.
Strategic Energy Systems Planning under UncertaintyEmilio L. Cano
The document discusses a decision support system (DSS) called EnRiMa that was developed for operators of energy-efficient buildings. The DSS uses a strategic model to make long-term decisions about technology installations and a linked operational model to determine short-term energy dispatching. The model accounts for uncertainty through a scenario tree and stochastic optimization. An example application to a building evaluating photovoltaic and combined heat and power technologies under different demand scenarios is presented.
Reproducible Operations Research. An Application to Energy Systems OptimizationEmilio L. Cano
This document discusses reproducible operations research using an integrated framework in R. It presents a case study on the EnRiMa project, which developed a decision support system for energy systems optimization. The key components discussed include a symbolic model specification to represent optimization models mathematically, a solver manager to generate solver input and output documentation, and reporting of results. The goal is to tie specific instructions to data analysis and models so results can be recreated and better understood.
A Solver Manager for energy systems planning within a Stochastic Optimization...Emilio L. Cano
The document describes an energy systems planning model within a stochastic optimization framework. It includes both strategic decisions about technology deployment and operational decisions about energy system usage. A solver manager is proposed to integrate different optimization solvers to solve the strategic and operational subproblems. The model is being developed as part of the EnRiMa project to create a decision support system for efficient energy management in buildings.
Strategic Buildings’ Energy Systems PlanningEmilio L. Cano
The document describes an energy systems planning model for buildings developed as part of the EnRiMa project. It includes both strategic and operational decision modules. The strategic module determines what energy technologies to install or decommission over long periods, while considering budget limits and emissions constraints. The embedded operational module models short-term energy dispatch and storage decisions subject to energy balance constraints. The overall goal is to develop a decision support system to help operators of public buildings optimize their energy systems.
A Symbolic Model Specification for Energy Efficiency Optimization ModelsEmilio L. Cano
The document describes a symbolic model specification for energy efficiency optimization models. It presents the outline which includes the introduction to the EnRiMa project and decision support system, the optimization models involving strategic and operational modules, the symbolic model specification including representation of variables, parameters, sets, and equations, and reproducible research. Key aspects of the symbolic model specification are that it contains the mathematical representation of optimization models for relevant energy subsystems and their interactions in a data-driven way using indices to identify individual model entities.
Decision Making under Uncertainty: R implementation for Energy Efficient Buil...Emilio L. Cano
The document describes a decision support system for operators of energy efficient buildings developed by Emilio L. Cano and Javier M. Moguerza of the University Rey Juan Carlos. It presents an R implementation for modeling decision making under uncertainty that symbolically specifies optimization problems, generates solver input files, and analyzes solutions to support strategic and operational energy management decisions in public buildings.
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...TechSoup
Whether you're new to SEO or looking to refine your existing strategies, this webinar will provide you with actionable insights and practical tips to elevate your nonprofit's online presence.
This presentation was provided by Rebecca Benner, Ph.D., of the American Society of Anesthesiologists, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
🔥🔥🔥🔥🔥🔥🔥🔥🔥
إضغ بين إيديكم من أقوى الملازم التي صممتها
ملزمة تشريح الجهاز الهيكلي (نظري 3)
💀💀💀💀💀💀💀💀💀💀
تتميز هذهِ الملزمة بعِدة مُميزات :
1- مُترجمة ترجمة تُناسب جميع المستويات
2- تحتوي على 78 رسم توضيحي لكل كلمة موجودة بالملزمة (لكل كلمة !!!!)
#فهم_ماكو_درخ
3- دقة الكتابة والصور عالية جداً جداً جداً
4- هُنالك بعض المعلومات تم توضيحها بشكل تفصيلي جداً (تُعتبر لدى الطالب أو الطالبة بإنها معلومات مُبهمة ومع ذلك تم توضيح هذهِ المعلومات المُبهمة بشكل تفصيلي جداً
5- الملزمة تشرح نفسها ب نفسها بس تكلك تعال اقراني
6- تحتوي الملزمة في اول سلايد على خارطة تتضمن جميع تفرُعات معلومات الجهاز الهيكلي المذكورة في هذهِ الملزمة
واخيراً هذهِ الملزمة حلالٌ عليكم وإتمنى منكم إن تدعولي بالخير والصحة والعافية فقط
كل التوفيق زملائي وزميلاتي ، زميلكم محمد الذهبي 💊💊
🔥🔥🔥🔥🔥🔥🔥🔥🔥
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...EduSkills OECD
Andreas Schleicher, Director of Education and Skills at the OECD presents at the launch of PISA 2022 Volume III - Creative Minds, Creative Schools on 18 June 2024.
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
1. Six Sigma With R
(Springer, 2012)
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Six Sigma with R
Frontmatter
Statistical Engineering for Process
Mainmatter Improvement
I Basics
II Define
III Measure
IV Analyze
V Improve
VI Control
Emilio L. Cano, Javier M. Moguerza
VII Further and Beyond
Backmatter
and Andr´s Redchuk
e
November 20, 2012
Facultad de Estudios Estad´
ısticos
Universidad Complutense de Madrid
Book Presentation UCM 1/59
2. Six Sigma With R
(Springer, 2012) Contenido
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e 1 Frontmatter
Frontmatter
Mainmatter
2 Mainmatter
I Basics
II Define I Basics
III Measure
IV Analyze
V Improve
II Define
VI Control
VII Further and Beyond
III Measure
Backmatter IV Analyze
V Improve
VI Control
VII Further and Beyond
3 Backmatter
Book Presentation UCM 2/59
3. Six Sigma With R
(Springer, 2012) Contents
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e 1 Frontmatter
Frontmatter
Mainmatter
2 Mainmatter
I Basics
II Define I Basics
III Measure
IV Analyze
V Improve
II Define
VI Control
VII Further and Beyond
III Measure
Backmatter IV Analyze
V Improve
VI Control
VII Further and Beyond
3 Backmatter
Book Presentation UCM 3/59
4. Six Sigma With R
(Springer, 2012) Publisher
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Mainmatter
I Basics
II Define
III Measure
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter
http://www.springer.com/statistics/book/978-1-4614-3651-5
Book Presentation UCM 4/59
5. Six Sigma With R
(Springer, 2012) Book website
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Mainmatter
I Basics
II Define
III Measure
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter
http://www.sixsigmawithr.com/
Book Presentation UCM 5/59
6. Six Sigma With R
(Springer, 2012) R Package
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Mainmatter
I Basics
II Define
III Measure
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter
http://cran.r-project.org/web/packages/SixSigma/index.html
Book Presentation UCM 6/59
7. Six Sigma With R
(Springer, 2012) Frontmatter
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Foreword
Frontmatter
Preface
Mainmatter
Why Six Sigma with R
I Basics
II Define
Who is this book for
III Measure Conventions
IV Analyze
V Improve Production
VI Control
VII Further and Beyond Resources
Backmatter About the Authors
Acknowledgements
Contents
List of Tables and Figures
Acronyms
http://link.springer.com/book/10.1007/978-1-4614-3652-2//page/1
Book Presentation UCM 7/59
8. Six Sigma With R
(Springer, 2012) Contents
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e 1 Frontmatter
Frontmatter
Mainmatter
2 Mainmatter
I Basics
II Define I Basics
III Measure
IV Analyze
V Improve
II Define
VI Control
VII Further and Beyond
III Measure
Backmatter IV Analyze
V Improve
VI Control
VII Further and Beyond
3 Backmatter
Book Presentation UCM 8/59
9. Six Sigma With R
(Springer, 2012) 1. Six Sigma in a Nutshell
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter Herbert Spencer
Mainmatter
I Basics “Science is organised knowledge”
II Define
III Measure
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter
Book Presentation UCM 9/59
10. Six Sigma With R
(Springer, 2012) The DMAIC Cycle
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Mainmatter
I Basics
II Define
III Measure
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter
Book Presentation UCM 10/59
11. Six Sigma With R
(Springer, 2012) Six Sigma Roles
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter In Six Sigma, everyone in the organization has
Mainmatter
I Basics a role in the project. Six Sigma methodology
II Define
III Measure
IV Analyze
uses an intuitive categorization of these roles.
V Improve
VI Control
VII Further and Beyond
Backmatter
Book Presentation UCM 11/59
12. Six Sigma With R
(Springer, 2012) Six Sigma Roles
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter In Six Sigma, everyone in the organization has
Mainmatter
I Basics a role in the project. Six Sigma methodology
II Define
III Measure
IV Analyze
uses an intuitive categorization of these roles.
V Improve
VI Control
VII Further and Beyond
Backmatter
Book Presentation UCM 11/59
13. Six Sigma With R
(Springer, 2012) 2. R from the Beginning
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter Linus Torvalds
Mainmatter
I Basics
“Software is like sex; it’s better when it’s free”
II Define
III Measure
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter
Book Presentation UCM 12/59
14. Six Sigma With R
(Springer, 2012) The R Project
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Mainmatter
I Basics
II Define
III Measure
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter
http://www.r-project.org
Book Presentation UCM 13/59
15. Six Sigma With R
(Springer, 2012) The R Environment
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Mainmatter
I Basics
II Define
III Measure
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter
Book Presentation UCM 14/59
16. Six Sigma With R
(Springer, 2012) 3. Process Mapping with R
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Charles Franklin Kettering
Mainmatter
I Basics
“A problem well stated is a problem half
II Define
III Measure
solved”
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter
Book Presentation UCM 15/59
17. Six Sigma With R
(Springer, 2012) A Process Map
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e Six Sigma Process Map
Frontmatter operators
INPUTS
tools
Mainmatter X raw material
I Basics facilities
II Define
INSPECTION ASSEMBLY TEST LABELING
III Measure
sheets sheets helicopter helicopter
IV Analyze
...
INPUTS
INPUTS
INPUTS
INPUTS
V Improve
VI Control
VII Further and Beyond
Param.(x): width NC Param.(x): operator C Param.(x): operator C Param.(x): operator C
Backmatter operator C cut P throw P label P
Measure pattern P fix P discard P Featur.(y): label
discard P rotor.width C environment N
Featur.(y): ok rotor.length C Featur.(y): time
paperclip C
tape C
Featur.(y): weight
LEGEND
helicopter
(C)ontrollable OUTPUTS
(Cr)itical
(N)oise
Y
(P)rocedure
Paper Helicopter Project
Book Presentation UCM 16/59
18. Six Sigma With R
(Springer, 2012) 4. Loss Funtion Analysis with R
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter W. Edwards Deming
Mainmatter
I Basics
II Define
Defects are not free. Somebody makes them,
III Measure
IV Analyze
and gets paid for making them
V Improve
VI Control
VII Further and Beyond
Backmatter
Book Presentation UCM 17/59
19. Six Sigma With R
(Springer, 2012) A Loss Function Example
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e > ss . lfa ( ss . data . bolts , " diameter " , 0.5 , 10 , 0.001 ,
lfa . sub = " 10 mm . Bolts Project " ,
Frontmatter
lfa . size = 100000 , lfa . output = " both " )
Mainmatter
I Basics
II Define $ lfa . k
III Measure [1] 0.002
IV Analyze
V Improve
VI Control $ lfa . lf
VII Further and Beyond expression ( bold ( L == 0.002 %. % ( Y - 10) ^2) )
Backmatter
$ lfa . MSD
[1] 0.03372065
$ lfa . avLoss
[1] 6.74413 e -05
$ lfa . Loss
[1] 6.74413
Book Presentation UCM 18/59
20. Six Sigma With R
(Springer, 2012) A Loss Function Example (cont.)
November, 2012
Emilio L. Cano
Javier M. Moguerza Loss Function Analysis
Andr´s Redchuk
e
Frontmatter 5e−04 T
Data
Mainmatter
I Basics 4e−04 CTQ: diameter
II Define Y0 = 10
III Measure Cost of Poor Quality ∆ = 0.5
IV Analyze L0 = 0.001
3e−04
V Improve Size = 1e+05
VI Control
VII Further and Beyond
2e−04
Backmatter Mean = 10.0308
k = 0.002
1e−04 MSD = 0.0337
LSL USL Av.Loss = 1e−04
Loss = 6.7441
0e+00
9.6 9.8 10.0 10.2 10.4
Observed Value
L = 0.002 ⋅ (Y − 10)
2
10 mm. Bolts Project
Book Presentation UCM 19/59
21. Six Sigma With R
(Springer, 2012) 5. Measurement System Analysis
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Lord Kelvin
Mainmatter “If you cannot measure it,
I Basics
II Define you cannot improve it.”
III Measure
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter
Book Presentation UCM 20/59
22. Six Sigma With R
(Springer, 2012) Repeatability & Reproducibility
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Mainmatter
I Basics
Repetible and Reproducible Repetible but non Reproducible Reproducible but non Repetible Non Repetible & Non Reproducible
II Define
q q
III Measure qq
q
q q q
q q q
IV Analyze q
q
V Improve q
qq
q
qq
VI Control
VII Further and Beyond q
q
q
q q
Backmatter
Book Presentation UCM 21/59
23. Six Sigma With R
(Springer, 2012) MSA with R
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e Six Sigma Gage R&R Study
Components of Variation Var by Part
1.8
Frontmatter 80
q
q
q
q
q
1.6
60
q
q
Percent
Mainmatter 1.4
var
40 q
q
q
q q
q
1.2
I Basics 20
q
q
q
q
q
1.0 q
0
II Define G.R&R Repeat Reprod Part2Part
q
prot #1 prot #2 prot #3
III Measure %Contribution %Study Var
IV Analyze R Chart by appraiser Var by appraiser
prot #1 prot #2 prot #3
V Improve 1.8
q
q
q
op #1 op #2 op #3
0.5 q
q q
q q
VI Control 1.6
0.4 q
q q
VII Further and Beyond q 1.4
var
0.3 q
var
q
q q q
q q q
q
0.2 1.2
q q q q
q
Backmatter 0.1
q q
q
1.0
q
q
q
q
prot #1 prot #2 prot #3 prot #1 prot #2 prot #3
op #1 op #2 op #3
part
x Chart by appraiser Part*appraiser Interaction
prot #1 prot #2 prot #3
1.7 q
op #1 op #2 op #3
1.7 q
1.6 q
1.6 q q 1.5
var
1.5 1.4
var
1.4 q
1.3
q q
1.3
q 1.2
1.2 q
q q
1.1 q q 1.1 q
q
prot #1 prot #2 prot #3
prot #1 prot #2 prot #3 prot #1 prot #2 prot #3
op #1 op #3
part op #2
Helicopter Project
Book Presentation UCM 22/59
24. Six Sigma With R
(Springer, 2012) 6. Pareto Analysis with R
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Ovidio
Mainmatter
I Basics
Causa latet: vis est notissima. [The cause is
II Define
III Measure
hidden, but the result is known.]
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter
Book Presentation UCM 23/59
25. Six Sigma With R
(Springer, 2012) Pareto Principle (80/20 rule)
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Mainmatter
I Basics
II Define
Examples
III Measure
IV Analyze
V Improve
20 % of customers make 80 % of incomes
VI Control
VII Further and Beyond 20 % of students get 80 % of good marks
Backmatter
80 % of cost of quality is due to 20 % of
the possible causes
Book Presentation UCM 24/59
26. Six Sigma With R
(Springer, 2012) Cause-and-effect diagram
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e Six Sigma Cause−and−effect Diagram
Frontmatter
Mainmatter
I Basics
Operator Environment Tools
operator #1 height scissors
II Define
operator #2 cleaning tape
III Measure operator #3
IV Analyze
V Improve
VI Control
VII Further and Beyond
Flight Time
Backmatter
paperclip
model marks rotor.width2
calibrate thickness rotor.length
Measure.Tool Raw.Material Design
Paper Helicopter Project
Book Presentation UCM 25/59
27. Six Sigma With R
(Springer, 2012) Pareto Chart
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e Pareto Chart for b.vector
q
Frontmatter q
q
q
q
Mainmatter q
80%
q
60
I Basics
Cumulative Percentage
q
II Define
q
III Measure
IV Analyze Frequency
40
V Improve
q
VI Control
VII Further and Beyond
Backmatter
20
q
0
Delays
Materials
Customer
Training
Rework
Errors
Rain
Wind
Permissions
Inadequate
Temperature
Book Presentation UCM 26/59
28. Six Sigma With R
(Springer, 2012) 7. Process Capability Analysis
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Johann Wolfgang von Goethe
Mainmatter One cannot develop taste from what is of
I Basics
II Define
III Measure
average quality but only from the very best.
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter
Book Presentation UCM 27/59
29. Six Sigma With R
(Springer, 2012) Capability Analysis Output
November, 2012
Emilio L. Cano
Javier M. Moguerza Six Sigma Capability Analysis Study
Andr´s Redchuk
e
Histogram & Density Density Lines Legend
Frontmatter Target Density ST
Theoretical Dens. ST
Mainmatter Density LT
Theoretical Density LT
I Basics
II Define
III Measure LSL USL Specifications
IV Analyze LSL: 740
Target: 750
V Improve
USL: 760
VI Control
VII Further and Beyond
Backmatter Short Term Process Long Term
740 745 750 755 760 Mean: 749.7625 Mean: 753.7239
Check Normality SD: 2.1042 SD: 2.6958
n: 20 n: 40
Shapiro−Wilk Test Zs: 3.14 Zs: 2.33
q
p−value: 0.07506 DPMO: 9952.5
q Short Term Indices Long Term
qq Lilliefors (K−S) Test Cp: 1.5841 Pp: 1.2365
qq
qqq p−value: 0.2291 CI: [1.4,1.7] CI: [1.1,1.3]
qq
qqq
qq
qq Cpk: 1.5465 Ppk: 0.7760
q
q
CI: [1.4,1.7] CI: [0.7,0.8]
Normality accepted when p−value > 0.05
Winery Project
Book Presentation UCM 28/59
30. Six Sigma With R
(Springer, 2012) 8. Charts with R
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
John Tukey
Frontmatter
Mainmatter
“The greatest value of a picture is when it
I Basics
II Define
forces us to notice what we never expected to
III Measure
IV Analyze see.”
V Improve
VI Control
VII Further and Beyond
Backmatter
Book Presentation UCM 29/59
31. Six Sigma With R
(Springer, 2012) Multi-vari chart
November, 2012
Emilio L. Cano Multi−vari chart for Volume by color and operator
Javier M. Moguerza
Andr´s Redchuk
e
batch
1 q 2 q 3 q 4 q
1 2 3
Frontmatter
3 3
Mainmatter
B C
I Basics 18
II Define 17
III Measure 16 q q
q q
q q
q q
q
IV Analyze 15 q
q q
q q
q
q q q q
q q q q
V Improve 14
VI Control 2 2
VII Further and Beyond B C
q q 18
q
Backmatter
Volume
q q 17
q q
q q q
q
q 16
q q q q
q q
q q 15
q q
q
14
1 1
B C
q
18 q q
q
17 q q q q
q
q
16 q
q
q q
q q q
15 q q
q q
14 q
1 2 3
Filler
Book Presentation UCM 30/59
32. Six Sigma With R
(Springer, 2012) 9. Statistics and Probability with R
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Mainmatter Aaron Levenstein
I Basics
II Define “Statistics are like bikinis. What they reveal is
III Measure
IV Analyze
V Improve
suggestive, but what they conceal is vital.”
VI Control
VII Further and Beyond
Backmatter
Book Presentation UCM 31/59
33. Six Sigma With R
(Springer, 2012) Distributions
November, 2012
Emilio L. Cano Hypergeometric Geometric Negative Binomial Poison
Javier M. Moguerza
Probability
Probability
Probability
Probability
0.06
0.15
0.00 0.10
Andr´s Redchuk
e
0.3
0.00
0.00
0.0
Frontmatter 0 1 2 3 4 0 10 30 10 20 30 40 0 5 10 20
Elements in class A Items extracted until first success Number of trials until 3 events
Number of successful experiments per unit
Mainmatter
I Basics Exponential Lognormal Uniform Gamma
Probability Density
Probability Density
Probability Density
Probability Density
II Define
0.0 0.4 0.8
0.0 0.6 1.2
0.0 0.2 0.4
III Measure 0.6
IV Analyze
0.0
V Improve
0 1 2 3 4 5 0 2 4 6 −0.5 0.5 1.5 0 2 4 6 8
VI Control
Random Variable X Random Variable X>0 Random Variable X Random Variable X
VII Further and Beyond
Backmatter Beta Weibul t−Student Chi−squared
Probability Density
Probability Density
Probability Density
Probability Density
0.0 1.0 2.0
0.0 0.3 0.6
0.06
0.3
95%
5% 95% 5%
0.00
0.0
1.73 30.14
0.0 0.4 0.8 0 2 4 6 −4 0 2 4 10 30 50
Random Variable X Random Variable X Random Variable X Random Variable X
F
Probability Density
0.6
95%
5%
0.0
2.34
0 1 2 3 4
Random Variable X
Book Presentation UCM 32/59
34. Six Sigma With R
(Springer, 2012) 10. Statistical Inference with R
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
George E.P. Box
Frontmatter
Mainmatter
“All models are wrong; some models are
I Basics
II Define
useful.”
III Measure
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter
Book Presentation UCM 33/59
35. Six Sigma With R
(Springer, 2012) Confidence Interval Example
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e Confidence Interval for the Mean
Frontmatter
Mean: 950.016
95% CI: [949.967, 950.064]
Mainmatter StdDev: 0.267
P−Var: unknown
I Basics n: 120
t: 1.98
II Define Missing: 0
III Measure
IV Analyze
V Improve
VI Control Histogram & Density Plot Shapiro−Wilks
1.5
VII Further and Beyond Normality Test
Backmatter 0.985
p−value: 0.19
1.0
density
Normal q−q Plot
0.5 q
qq q
qq
qq qq q
qq q
qq
qq
qq
qq
qq
qq
qq
qq
qq
qq
qq
qq
qq
qq
q
q
qq
qq
qq
qq
qq
qq
qq
q
0.0 qq
qq
qqqq
qq
qq
qq
q
qq
qq
qq
qq
q
qq
qq
qq
949.0 949.5 950.0 950.5 q
q
q
q
Value of len q
qq
Book Presentation UCM 34/59
36. Six Sigma With R
(Springer, 2012) 11. Design of Experiments with R
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
R.A. Fisher
Mainmatter “Sometimes the only thing you can
I Basics
II Define do with a poorly designed
III Measure
IV Analyze
V Improve
experiment is to try to find out what
VI Control
VII Further and Beyond
it died of”
Backmatter
Book Presentation UCM 35/59
37. Six Sigma With R
(Springer, 2012) The Importance of Experimenting
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
“An engineer who does not know
Mainmatter experimental design is not an
I Basics
II Define
III Measure
engineer”
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter
Comment made by to one
of the authors [of “Statistics
for experimenters” by an
]
executive of the Toyota
Motor Company.
Book Presentation UCM 36/59
38. Six Sigma With R
(Springer, 2012) 12.Process Control with R
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Mainmatter
Walter A. Shewhart
I Basics
II Define
“Special causes of variation may be found and
III Measure
IV Analyze eliminated.”
V Improve
VI Control
VII Further and Beyond
Backmatter
Book Presentation UCM 37/59
39. Six Sigma With R
(Springer, 2012) Control Chart Plotting
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e p Chart
for stockouts
0.25
Frontmatter q
q
UCL
Mainmatter q
q
0.20
I Basics
Group summary statistics
II Define
q
III Measure
0.15
q q
q q
IV Analyze
q
V Improve q q
VI Control
0.10
q
q
CL
q
VII Further and Beyond
q
q
Backmatter q q
0.05
q
q q
q
LCL
0.00
1 3 5 7 9 11 13 15 17 19 21
Group
Number of groups = 22
Center = 0.1212294 LCL is variable Number beyond limits = 1
StdDev = 0.3263936 UCL is variable Number violating runs = 0
Book Presentation UCM 38/59
40. Six Sigma With R
(Springer, 2012) 13. Other Tools and
November, 2012
Emilio L. Cano
Javier M. Moguerza
Methodologies
Andr´s Redchuk
e
Frontmatter
Mainmatter
Johann Wolfgang von Goethe
I Basics
II Define Instruction does much, but encouragement
III Measure
IV Analyze
V Improve
everything.
VI Control
VII Further and Beyond
Backmatter
Book Presentation UCM 39/59
41. Six Sigma With R
(Springer, 2012) Other topics
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Mainmatter
I Basics
Failure Mode, Effects, and Criticality
II Define
III Measure
Analysis
IV Analyze
V Improve
VI Control
Design for Six Sigma
VII Further and Beyond
Backmatter
Lean
Gantt Chart
Some Advanced R Topics
Book Presentation UCM 40/59
42. Six Sigma With R
(Springer, 2012) Contents
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e 1 Frontmatter
Frontmatter
Mainmatter
2 Mainmatter
I Basics
II Define I Basics
III Measure
IV Analyze
V Improve
II Define
VI Control
VII Further and Beyond
III Measure
Backmatter IV Analyze
V Improve
VI Control
VII Further and Beyond
3 Backmatter
Book Presentation UCM 41/59
43. Six Sigma With R
(Springer, 2012) Case Study
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Mainmatter
I Basics
II Define
III Measure
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter
Book Presentation UCM 42/59
44. Six Sigma With R
(Springer, 2012) Helicopter Template
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Mainmatter
I Basics
II Define
III Measure
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter
> ss . heli ()
null device
1
> # vignette (" H e l i c o p t e r I n s t r u c t i o n s ") to get
instructions
Book Presentation UCM 43/59
45. Six Sigma with R | Paper Helicopter template
max
(9.5cm)
std
(8cm)
min
(6.5cm)
← wings length →
cut
?
pe
fold ↑ fold ↓
ta
cut
cut cut
← body length →
tape?
tape?
min
(6.5cm)
std
fold ↓ ↓
fold ↑ ↑
(8cm)
clip? max
max min ← body width → min max (9.5cm)
(6cm) (4cm) (4cm) (6cm)
46. Six Sigma With R
(Springer, 2012) Enjoy the Case Study!
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Mainmatter
I Basics
II Define
III Measure
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter
Book Presentation UCM 45/59
47. Six Sigma With R
(Springer, 2012) Enjoy the Case Study!
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Mainmatter
I Basics
II Define
III Measure
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter
Book Presentation UCM 45/59
48. Six Sigma With R
(Springer, 2012) So what?
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Mainmatter
I Basics
II Define
III Measure
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter
Book Presentation UCM 46/59
49. Six Sigma With R
(Springer, 2012) So what?
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e The Scientific Method
Frontmatter
Mainmatter
I Basics
II Define
III Measure
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter
Book Presentation UCM 46/59
50. Six Sigma With R
(Springer, 2012) The Scientific Method and Six
November, 2012
Emilio L. Cano
Javier M. Moguerza
Sigma
Andr´s Redchuk
e
Frontmatter
Mainmatter DMAIC Cycle Scientific Method
I Basics
II Define Ask a question
III Measure Define
IV Analyze
V Improve Do some background
VI Control
Measure research
VII Further and Beyond
Backmatter
Construct a hypothesis
Analyze
Test the hypothesis
with an experiment
Improve
Analyze the data and
draw conclusions
Control
Communicate results
Book Presentation UCM 47/59
51. Six Sigma With R
(Springer, 2012) The Key to Success
November, 2012
Emilio L. Cano
Javier M. Moguerza
“Six Sigma speaks the language of business”
Andr´s Redchuk
e
Frontmatter ISO 13053-1:2011
Mainmatter
I Basics
II Define
III Measure
IV Analyze
Six Sigma methodology is a quality paradigm
V Improve
VI Control
that translates the involved scientific
VII Further and Beyond
Backmatter
methodology into a simple way to apply the
scientific method within every organization.
Book Presentation UCM 48/59
52. Six Sigma With R
(Springer, 2012) Opportunities
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
For Today’s Graduate, Just One Word: Statistics
Mainmatter (The New York Times, August 2009)
I Basics
II Define “I keep saying that the sexy job in the
III Measure
IV Analyze next 10 years will be statisticians”
V Improve
VI Control
VII Further and Beyond
Backmatter Data Scientist: The Sexiest Job of the 21st
Century (Harvard Business Review, October 2012)
. . . the “data scientist.” It’s a
high-ranking professional with the
training and curiosity to make
discoveries in the world of big data . . .
Book Presentation UCM 49/59
53. Six Sigma With R
(Springer, 2012) Opportunities (cont.)
November, 2012
Emilio L. Cano Gartner Sees 4.4M Big Data Jobs by 2015
Javier M. Moguerza
Andr´s Redchuk
e (Information Management, October 2012)
Frontmatter Lack of data scientists could derail big data
Mainmatter
I Basics
projects: IBM (CIO, October 2012)
II Define
III Measure
IV Analyze
Son las matem´ticas, est´pido (El Pa´
a u ıs,
V Improve
VI Control
Noviembre 2012)
VII Further and Beyond
Backmatter
La econom´ del conocimiento exige
ıa
una educaci´n sustentada en tres
o
fundamentos: un nivel avanzado en
matem´tica y estad´
a ıstica, una
capacidad elevada para escribir un
argumento y un nivel avanzado de
ingl´s
e
Book Presentation UCM 50/59
54. Six Sigma With R
(Springer, 2012) R Final Remarks
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Mainmatter
I Basics
II Define
III Measure
IV Analyze
V Improve
VI Control
VII Further and Beyond
kdnuggets.com
Backmatter (2012) link
Book Presentation UCM 51/59
55. Six Sigma With R
(Springer, 2012) R Final Remarks (cont.)
November, 2012
Emilio L. Cano
Javier M. Moguerza
Community
Andr´s Redchuk
e
4131 packages at CRAN (18/11/2012)
Frontmatter
Mainmatter Task views
I Basics
II Define
III Measure
Manuals
IV Analyze
V Improve Publications
VI Control
VII Further and Beyond
Backmatter http:
//cran.r-project.org/web/packages/
Book Presentation UCM 52/59
56. Six Sigma With R
(Springer, 2012) R Final Remarks (cont.)
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Customization
A company can develop a package that fits its
Frontmatter
Mainmatter
inner procedures and methods.
I Basics
II Define
III Measure
IV Analyze
V Improve
Innovation
VI Control
VII Further and Beyond
A company can develop and deploy an
Backmatter innovative method from its R&D department,
or from the result of other published
researches.
Book Presentation UCM 53/59
57. Six Sigma With R
(Springer, 2012) R Final Remarks (cont.)
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter Business
Mainmatter
I Basics
http:
II Define
III Measure
//www.revolutionanalytics.com/
IV Analyze
V Improve
VI Control
http://www.openanalytics.eu/
VII Further and Beyond
Backmatter
http://www.fellstat.com/
http://www.rstudio.com/ide/
http://www.datanalytics.com/
...
Book Presentation UCM 54/59
58. Six Sigma With R
(Springer, 2012) R Final Remarks (cont.)
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Mainmatter
I Basics
GUI, IDE
II Define
III Measure
RStudio
IV Analyze
V Improve
VI Control
Eclipse + StatET
VII Further and Beyond
Backmatter
EMACS + EES
Deducer
...
Book Presentation UCM 55/59
59. Six Sigma With R
(Springer, 2012) R Final Remarks (cont.)
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Mainmatter
I Basics
II Define
III Measure
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter
Book Presentation UCM 56/59
60. Six Sigma With R
(Springer, 2012)
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Mainmatter
I Basics
II Define
III Measure
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter
http://r-es.org/
Book Presentation UCM 57/59
61. Six Sigma With R
(Springer, 2012)
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Frontmatter
Mainmatter
I Basics
II Define
III Measure
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter
http://www.r-project.org/useR-2013
Book Presentation UCM 58/59
62. Six Sigma With R
(Springer, 2012) Discussion
November, 2012
Emilio L. Cano
Javier M. Moguerza
Andr´s Redchuk
e
Thanks !
Frontmatter
Mainmatter
I Basics
II Define
III Measure
IV Analyze
V Improve
VI Control
VII Further and Beyond
Backmatter emilio.lopez@urjc.es
@emilopezcano
http://www.sixsigmawithr.com
Book Presentation UCM 59/59