This document discusses 5S in quality management. It provides definitions and explanations of the 5S steps - Sort, Straighten, Shine, Standardize, and Sustain. It also lists and briefly describes several quality management tools including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and others. Additional related topics are listed for download.
This document provides information about quality management system templates, including templates, tools, and strategies. It discusses specific templates for policies, procedures, work instructions, and other documents needed for a quality management system. The templates are designed to help users build a quality management system quickly that complies with standards like ISO and FDA guidelines. The templates come with over 40 pre-written standard operating procedures and other documents, as well as support from regulatory compliance experts. Specific quality management tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms are also discussed.
This document provides an overview of quality assurance and quality management. It discusses key concepts such as ensuring work is done properly, using the correct materials and processes, and collecting evidence to demonstrate quality. Several quality management tools are also outlined, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and their purposes. Additional related topics like quality management systems, courses, and standards are listed for further reference.
A CASE STUDY OF QUALITY CONTROL CHARTS IN A MANUFACTURING INDUSTRY (Ijsetr vo...Md. Maksudul Islam
Statistical Process Control (SPC) is a powerful
collection of problem solving tools and the most sophisticated useful method in achieving process stability and improving the process capability through the reduction of variability. In the manufacturing process, every product doesn’t meet the desired range of quality consistently with the customer specification. This inconsistency occurs due to several sources of variations such as machines, operators, materials etc. The Ultimate target of control chart is to monitor the variations, and subsequently control the process. On account of applying SPC methods, this
study deals with the control and improvement of the quality of bolt by inspecting the bolt’s height, diameter and weight from a bolt manufacturing company. In this inspection, we have developed X bar chart, S and Range control chart for each three variables. Furthermore, we have also focused on
Estimated Weighted Moving Average (EWMA) for detecting
small process shifts and multivariate Hotelling’s T2 for
simultaneous monitoring of height and diameter of bolt. These inspections show that either the process is in control or out of control. For the out of control situation, the assignable reasons behind it should be identified and prevented by taking necessary steps.
process monitoring (statistical process control)Bindutesh Saner
Statistical Process Control (SPC) is an industry
standard methodology for measuring and controlling quality during
the manufacturing process. Attribute data (measurements)
is collected from products as they are being produced. By
establishing upper and lower control limits, variations in the
process can be detected before they result in defective product,
entirely eliminating the need for final inspection.
This document provides information about quality management representative responsibilities including tools, strategies, and forms. It outlines the purpose, course outline, learning outcomes, benefits, and prerequisites of a training course for quality management representatives. The course teaches representatives how to fulfill their roles and responsibilities, effectively document systems, conduct audits, and drive continual improvement. Several quality management tools are also defined, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and their purposes. Other related quality management topics are listed for reference.
This document provides information and resources for a presentation on quality management systems. It includes a quality policy statement, philosophy, and aims for Presentation Convent Senior Secondary School. Six quality management tools are described in detail: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Other related topics that could be covered in the presentation are also listed.
This document provides an introduction to statistical process control (SPC) and process capability estimation (Cpk). It outlines the key training objectives which are to understand SPC theory and how to apply it as a process control tool. It also introduces the typical control charts used in manufacturing industries and demonstrates how to generate these charts using MINITAB software. Finally, it reviews some basic SPC concepts like control limits, common vs special causes of variation, and different types of control charts.
This document provides information about quality management system templates, including templates, tools, and strategies. It discusses specific templates for policies, procedures, work instructions, and other documents needed for a quality management system. The templates are designed to help users build a quality management system quickly that complies with standards like ISO and FDA guidelines. The templates come with over 40 pre-written standard operating procedures and other documents, as well as support from regulatory compliance experts. Specific quality management tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms are also discussed.
This document provides an overview of quality assurance and quality management. It discusses key concepts such as ensuring work is done properly, using the correct materials and processes, and collecting evidence to demonstrate quality. Several quality management tools are also outlined, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and their purposes. Additional related topics like quality management systems, courses, and standards are listed for further reference.
A CASE STUDY OF QUALITY CONTROL CHARTS IN A MANUFACTURING INDUSTRY (Ijsetr vo...Md. Maksudul Islam
Statistical Process Control (SPC) is a powerful
collection of problem solving tools and the most sophisticated useful method in achieving process stability and improving the process capability through the reduction of variability. In the manufacturing process, every product doesn’t meet the desired range of quality consistently with the customer specification. This inconsistency occurs due to several sources of variations such as machines, operators, materials etc. The Ultimate target of control chart is to monitor the variations, and subsequently control the process. On account of applying SPC methods, this
study deals with the control and improvement of the quality of bolt by inspecting the bolt’s height, diameter and weight from a bolt manufacturing company. In this inspection, we have developed X bar chart, S and Range control chart for each three variables. Furthermore, we have also focused on
Estimated Weighted Moving Average (EWMA) for detecting
small process shifts and multivariate Hotelling’s T2 for
simultaneous monitoring of height and diameter of bolt. These inspections show that either the process is in control or out of control. For the out of control situation, the assignable reasons behind it should be identified and prevented by taking necessary steps.
process monitoring (statistical process control)Bindutesh Saner
Statistical Process Control (SPC) is an industry
standard methodology for measuring and controlling quality during
the manufacturing process. Attribute data (measurements)
is collected from products as they are being produced. By
establishing upper and lower control limits, variations in the
process can be detected before they result in defective product,
entirely eliminating the need for final inspection.
This document provides information about quality management representative responsibilities including tools, strategies, and forms. It outlines the purpose, course outline, learning outcomes, benefits, and prerequisites of a training course for quality management representatives. The course teaches representatives how to fulfill their roles and responsibilities, effectively document systems, conduct audits, and drive continual improvement. Several quality management tools are also defined, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and their purposes. Other related quality management topics are listed for reference.
This document provides information and resources for a presentation on quality management systems. It includes a quality policy statement, philosophy, and aims for Presentation Convent Senior Secondary School. Six quality management tools are described in detail: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Other related topics that could be covered in the presentation are also listed.
This document provides an introduction to statistical process control (SPC) and process capability estimation (Cpk). It outlines the key training objectives which are to understand SPC theory and how to apply it as a process control tool. It also introduces the typical control charts used in manufacturing industries and demonstrates how to generate these charts using MINITAB software. Finally, it reviews some basic SPC concepts like control limits, common vs special causes of variation, and different types of control charts.
This document provides information about lean quality management including definitions, strategies, and tools. Lean quality management focuses on maximizing customer value and minimizing waste. It treats customers as the most important part of business. The document then describes several quality management tools including check sheets, control charts, Pareto charts, scatter plots, and Ishikawa diagrams that can be used for lean quality management.
Control charts and statistical process control (SPC) allow companies to monitor processes, detect issues, and enact improvements. Control charts display process data over time and help identify when processes are behaving unusually due to "special causes." SPC uses statistics to set control limits on charts and determine whether a process is in or out of statistical control. Implementing control charts involves selecting processes and variables to measure, collecting baseline data to create charts, training operators, and continuously monitoring and improving processes.
The document provides an overview of six sigma and statistical process control (SPC). It defines variation and explains the importance of understanding and controlling it. The objectives of SPC are outlined, including appreciating variation, understanding normal distribution and different types of process variation. Control charts are introduced as a tool to monitor processes and identify special causes of variation. The importance of objective data use is discussed.
This document discusses quality management tools and quotes. It provides definitions and descriptions of 6 common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. It also shares 10 quotes related to quality management and process improvement.
Training Module including 116 slides and 6 exercises covering Introduction to Statistical Process Control, The Histogram, Measure of Location and Variability, Process Control Charts, Process Control Limits, Out-of-Control Criteria, Sample Size and Frequency, and Out-of-Control Action Plan.
This document provides an overview of global quality management. It discusses key responsibilities of a Global Quality Management System Manager including ensuring compliance with quality standards like ISO 9001, managing quality projects, maintaining documentation, and performing audits. Several quality management tools are also outlined such as check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms. Links to additional quality management resources are provided.
This document discusses statistical quality control and control charts. It defines statistical quality control as using statistics to monitor manufacturing processes and determine if variation is due to chance or assignable causes. The document outlines two types of control charts: variables control charts that measure continuous data like weight or temperature, and attributes control charts that count discrete data like defects. Specific variable charts discussed include X-bar and R charts, while attribute charts include P, C, U, and NP charts. Guidelines are provided on when and how to implement control charts to monitor processes and identify sources of variation.
This document provides an introduction and overview of the seven basic quality control tools: 1) check sheet, 2) histogram, 3) Pareto diagram, 4) cause-and-effect diagram, 5) scatter diagram, 6) stratification, and 7) graphs and control charts. Each tool is described in one to three sentences. The check sheet is used to simplify data collection. The histogram displays variation within a process using bars. The Pareto diagram indicates which problems should be solved first by prioritizing frequent defects.
The document discusses project quality management tools and resources. It provides an overview of quality management principles and how they can be applied to project management. Specific quality management tools are described, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. These tools can be used to plan, assure, and control quality on projects. Additional related topics like quality management systems, courses, and standards are also listed.
This document provides an overview of statistical process control (SPC). It discusses key SPC concepts including:
1) SPC focuses on detecting and eliminating abnormal variations (assignable causes) to achieve consistent quality.
2) SPC requires knowledge of basic statistics, variation, histograms, process capability, and control charts. Control charts are used to monitor a process and detect when assignable causes result in variations outside the natural limits.
3) A histogram provides a visual representation of a process and can indicate if a process is capable and centered on the target, or if assignable causes are present.
The document discusses the Seven Basic Tools of Quality, which are graphical techniques used to troubleshoot quality issues. The seven tools are: cause and effect diagram, check sheet, control chart, histogram, Pareto chart, scattered diagram, and stratification. Each tool is briefly described. For example, a cause and effect diagram displays potential causes for a quality issue, a check sheet collects quantitative or qualitative data, and a control chart determines if a process is in statistical control. The tools can help identify factors affecting quality and determine appropriate corrective actions.
This document provides information about quality management tools and templates that can be used for project quality management. It includes a quality management planning template to help project managers plan quality activities. It also lists and describes common quality management tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms that can be used for quality control and assurance. Additional resources on project quality management are provided at the end.
Control charts are graphs used to monitor quality during manufacturing. They allow issues to be identified and addressed early to maintain consistent product quality. Key aspects of control charts include:
- Plotting statistics like the mean or range of sample measurements over time
- Using statistical limits to identify processes that are in or out of control
- Interpreting patterns in the charts to determine if corrective action is needed
Control charts enable manufacturers to efficiently produce uniform products by catching problems early and avoiding unnecessary adjustments to processes that are performing normally.
Control charts (also called Shewhart charts) are a powerful statistical quality control tool used for online process monitoring. Control charts detect assignable causes of variation by monitoring the process for points outside the natural limits called control limits. This ensures variations are kept within specification limits, delivering more consistent quality. There are different types of control charts for variables and attributes. Control charts must be acted on if points fall outside control limits or show non-random patterns, indicating the presence of assignable causes that need investigation and elimination.
This document discusses quality management. It provides information on quality management forms, strategies and tools. It discusses how high performing organizations practice quality management through trust, integrity, coaching, accountability and leadership. It then describes several quality management tools: check sheets, control charts, Pareto charts, scatter plots and Ishikawa diagrams. These tools can help organizations achieve quality objectives.
This document provides information about quality management consultancy services offered by Temple Quality Management Systems. It discusses their experience in implementing quality management systems and standards like ISO 9001. It also lists the specific consulting services they provide, including helping with quality management systems, health and safety, environmental management systems, Six Sigma, automotive tools, and legal compliance. Finally, it discusses several common quality management tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms.
This document provides an overview of quality management systems (QMS) and discusses some common questions that arise about implementing a QMS. It explains that a QMS provides a structured system for developing and improving processes through documentation, organization charts, and continuous improvement. Key benefits include optimized processes, consistency, reduced defects, and compliance. The document also summarizes several common quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms.
Mangt tool with statistical process control ch 18 asif jamalAsif Jamal
It is basic way to understand Total Quality Management
Tools & Procedures of CI
Varies from simple suggestion system based on brain storming to structured programs utilizing statistical process control tools (SPC Tools)
Deming wheel (PDCA) cycle
Zero defect concept
Bench Marking
Six sigma
Kaizen
7 QC Tools are simple statistical tools used for problem solving. Nilesh Arora presented basics of 7 QC Tool training and details about Pareto Diagram.
The document discusses the meaning and definition of quality management. It provides definitions from several sources that define quality management as a strategic approach that ensures continuous improvement through the involvement of everyone in an organization. It aims to satisfy customers and employees. The document also lists several quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. It provides brief descriptions of how each tool is used.
Aligning Course Outcomes, Course Instruction, and Course Assessments Part 1 of 3Dan Winder
Aligning Outcomes, Instruction, and Assessment (3 trainings). There is an entire field dedicated to the science of instruction. This training will provide the tools to review your existing courses to see if they are following the best practices of planning, delivering, and assessing learning outcomes of your course. Visit www.courseoutcomes.com to learn more.
The document discusses the 5S technique, which is a workplace organization method originally developed in Japan. It consists of five Japanese words that begin with S when translated to English: sort, set in order, shine, standardize, and sustain. The 5S technique aims to organize a workspace for efficiency by identifying necessary items, storing them properly, maintaining cleanliness, standardizing processes, and sustaining the new systems. Implementing 5S can significantly increase productivity by reducing wasted time searching for items and making abnormalities more visible for quick resolution.
This document provides information about lean quality management including definitions, strategies, and tools. Lean quality management focuses on maximizing customer value and minimizing waste. It treats customers as the most important part of business. The document then describes several quality management tools including check sheets, control charts, Pareto charts, scatter plots, and Ishikawa diagrams that can be used for lean quality management.
Control charts and statistical process control (SPC) allow companies to monitor processes, detect issues, and enact improvements. Control charts display process data over time and help identify when processes are behaving unusually due to "special causes." SPC uses statistics to set control limits on charts and determine whether a process is in or out of statistical control. Implementing control charts involves selecting processes and variables to measure, collecting baseline data to create charts, training operators, and continuously monitoring and improving processes.
The document provides an overview of six sigma and statistical process control (SPC). It defines variation and explains the importance of understanding and controlling it. The objectives of SPC are outlined, including appreciating variation, understanding normal distribution and different types of process variation. Control charts are introduced as a tool to monitor processes and identify special causes of variation. The importance of objective data use is discussed.
This document discusses quality management tools and quotes. It provides definitions and descriptions of 6 common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. It also shares 10 quotes related to quality management and process improvement.
Training Module including 116 slides and 6 exercises covering Introduction to Statistical Process Control, The Histogram, Measure of Location and Variability, Process Control Charts, Process Control Limits, Out-of-Control Criteria, Sample Size and Frequency, and Out-of-Control Action Plan.
This document provides an overview of global quality management. It discusses key responsibilities of a Global Quality Management System Manager including ensuring compliance with quality standards like ISO 9001, managing quality projects, maintaining documentation, and performing audits. Several quality management tools are also outlined such as check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms. Links to additional quality management resources are provided.
This document discusses statistical quality control and control charts. It defines statistical quality control as using statistics to monitor manufacturing processes and determine if variation is due to chance or assignable causes. The document outlines two types of control charts: variables control charts that measure continuous data like weight or temperature, and attributes control charts that count discrete data like defects. Specific variable charts discussed include X-bar and R charts, while attribute charts include P, C, U, and NP charts. Guidelines are provided on when and how to implement control charts to monitor processes and identify sources of variation.
This document provides an introduction and overview of the seven basic quality control tools: 1) check sheet, 2) histogram, 3) Pareto diagram, 4) cause-and-effect diagram, 5) scatter diagram, 6) stratification, and 7) graphs and control charts. Each tool is described in one to three sentences. The check sheet is used to simplify data collection. The histogram displays variation within a process using bars. The Pareto diagram indicates which problems should be solved first by prioritizing frequent defects.
The document discusses project quality management tools and resources. It provides an overview of quality management principles and how they can be applied to project management. Specific quality management tools are described, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. These tools can be used to plan, assure, and control quality on projects. Additional related topics like quality management systems, courses, and standards are also listed.
This document provides an overview of statistical process control (SPC). It discusses key SPC concepts including:
1) SPC focuses on detecting and eliminating abnormal variations (assignable causes) to achieve consistent quality.
2) SPC requires knowledge of basic statistics, variation, histograms, process capability, and control charts. Control charts are used to monitor a process and detect when assignable causes result in variations outside the natural limits.
3) A histogram provides a visual representation of a process and can indicate if a process is capable and centered on the target, or if assignable causes are present.
The document discusses the Seven Basic Tools of Quality, which are graphical techniques used to troubleshoot quality issues. The seven tools are: cause and effect diagram, check sheet, control chart, histogram, Pareto chart, scattered diagram, and stratification. Each tool is briefly described. For example, a cause and effect diagram displays potential causes for a quality issue, a check sheet collects quantitative or qualitative data, and a control chart determines if a process is in statistical control. The tools can help identify factors affecting quality and determine appropriate corrective actions.
This document provides information about quality management tools and templates that can be used for project quality management. It includes a quality management planning template to help project managers plan quality activities. It also lists and describes common quality management tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms that can be used for quality control and assurance. Additional resources on project quality management are provided at the end.
Control charts are graphs used to monitor quality during manufacturing. They allow issues to be identified and addressed early to maintain consistent product quality. Key aspects of control charts include:
- Plotting statistics like the mean or range of sample measurements over time
- Using statistical limits to identify processes that are in or out of control
- Interpreting patterns in the charts to determine if corrective action is needed
Control charts enable manufacturers to efficiently produce uniform products by catching problems early and avoiding unnecessary adjustments to processes that are performing normally.
Control charts (also called Shewhart charts) are a powerful statistical quality control tool used for online process monitoring. Control charts detect assignable causes of variation by monitoring the process for points outside the natural limits called control limits. This ensures variations are kept within specification limits, delivering more consistent quality. There are different types of control charts for variables and attributes. Control charts must be acted on if points fall outside control limits or show non-random patterns, indicating the presence of assignable causes that need investigation and elimination.
This document discusses quality management. It provides information on quality management forms, strategies and tools. It discusses how high performing organizations practice quality management through trust, integrity, coaching, accountability and leadership. It then describes several quality management tools: check sheets, control charts, Pareto charts, scatter plots and Ishikawa diagrams. These tools can help organizations achieve quality objectives.
This document provides information about quality management consultancy services offered by Temple Quality Management Systems. It discusses their experience in implementing quality management systems and standards like ISO 9001. It also lists the specific consulting services they provide, including helping with quality management systems, health and safety, environmental management systems, Six Sigma, automotive tools, and legal compliance. Finally, it discusses several common quality management tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms.
This document provides an overview of quality management systems (QMS) and discusses some common questions that arise about implementing a QMS. It explains that a QMS provides a structured system for developing and improving processes through documentation, organization charts, and continuous improvement. Key benefits include optimized processes, consistency, reduced defects, and compliance. The document also summarizes several common quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms.
Mangt tool with statistical process control ch 18 asif jamalAsif Jamal
It is basic way to understand Total Quality Management
Tools & Procedures of CI
Varies from simple suggestion system based on brain storming to structured programs utilizing statistical process control tools (SPC Tools)
Deming wheel (PDCA) cycle
Zero defect concept
Bench Marking
Six sigma
Kaizen
7 QC Tools are simple statistical tools used for problem solving. Nilesh Arora presented basics of 7 QC Tool training and details about Pareto Diagram.
The document discusses the meaning and definition of quality management. It provides definitions from several sources that define quality management as a strategic approach that ensures continuous improvement through the involvement of everyone in an organization. It aims to satisfy customers and employees. The document also lists several quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. It provides brief descriptions of how each tool is used.
Aligning Course Outcomes, Course Instruction, and Course Assessments Part 1 of 3Dan Winder
Aligning Outcomes, Instruction, and Assessment (3 trainings). There is an entire field dedicated to the science of instruction. This training will provide the tools to review your existing courses to see if they are following the best practices of planning, delivering, and assessing learning outcomes of your course. Visit www.courseoutcomes.com to learn more.
The document discusses the 5S technique, which is a workplace organization method originally developed in Japan. It consists of five Japanese words that begin with S when translated to English: sort, set in order, shine, standardize, and sustain. The 5S technique aims to organize a workspace for efficiency by identifying necessary items, storing them properly, maintaining cleanliness, standardizing processes, and sustaining the new systems. Implementing 5S can significantly increase productivity by reducing wasted time searching for items and making abnormalities more visible for quick resolution.
The document discusses different views of curriculum - a subject-centered view which focuses on transmitting accumulated human knowledge, and a learner-centered view which relates knowledge to individual learners' experiences. It then outlines principles for developing an effective curriculum, including ensuring content is valid, useful, learnable given available resources, balanced, articulated in a logical sequence, integrated across subjects, and continuously reinforced.
Time management and 7 habits of highly effective teacherZille Huma Bhatti
This document discusses time management strategies for teachers and outlines seven habits of effective teachers. It begins by outlining keys to effective time management, including using a to-do list, avoiding procrastination, and establishing goals and priorities. It then describes seven habits of effective teachers: being proactive, beginning with the end in mind, putting first things first, thinking win-win, seeking first to understand others, synergizing with others, and sharpening the saw through self-renewal. The habits emphasize positive discipline, empathic listening, and continuous growth.
The document discusses the selection and organization of subject matter in curriculum development. It provides 7 criteria for selecting subject content: self-sufficiency, significance, validity, interest, utility, learnability, and feasibility. It also discusses ensuring a balance, proper sequencing, integration, continuity and articulation of content across grade levels. The overall goal is to choose relevant and engaging content that students can learn effectively and apply in their daily lives.
ISO 9000 Quality Management System - A Presentation by Akshay AnandAkshay Anand
The document summarizes key aspects of the ISO9000 quality management standard. It describes the purpose and requirements of ISO9000, including establishing quality management systems to meet customer and regulatory needs. It provides an overview of the history and growth of ISO9000 certification globally. It also outlines the structure, requirements and certification process for ISO9000.
Organization and administration are closely related concepts that both aim to control resources to achieve objectives. They exist together and are not separable, with organization concerning the formal structure and administration referring to the directing process within that structure. Effective administration requires unity of command, with each employee reporting to only one supervisor, and a clear line of authority so that a single supervisor's orders are followed under all circumstances.
Implementing an ISO 9001:2008 quality management system provides several benefits to companies. Over 350,000 companies worldwide have become registered and report improved consistency, higher customer satisfaction, improved productivity and cost reductions. Studies show 85% of registered firms see external benefits like greater customer demand and higher perceived quality, while 95% see internal benefits such as increased efficiency and employee awareness. Achieving ISO 9001 registration is a multi-phase process involving training, documentation, auditing, and management reviews.
The information content of this slide was taken from the book of Bilbao, Purita,. et.al, (2008) Curriculum Development,. LORIMAR Publishing Company. And I am very thankful to have further knowledge because of her book.
This document discusses principles for selecting and organizing content for teaching. It recommends focusing on content that is valid, significant, balanced, self-sufficient, interesting, useful, and feasible. Facts form the base, but teachers should emphasize conceptual understanding by integrating facts, exploring concepts in depth, and relating ideas to students' experiences. Strategies like authentic activities, dialogue, and teaching others can help develop conceptual understanding. An effective selection and organization of content should integrate cognitive, skill, and affective elements.
The document discusses curriculum content and its elements. It defines curriculum as all learning planned by the school, whether individual or group activities inside or outside the school. Content is defined as information to be learned and can come in various forms like audio, text, or video. The document outlines criteria for selecting content, including significance, relevance to learners' lives, variety, suitability, validity, interest, utility, and feasibility. It emphasizes organizing content through sequencing, continuity, and integration to improve learning.
Este documento describe el sistema de las 5S, un método para mantener el orden, la limpieza y la seguridad en el lugar de trabajo. Consiste en 5 pasos: seleccionar (seiri), ordenar (seiton), limpiar (seiso), estandarizar (seiketsu) y disciplina (shitsuke). Siguiendo estos pasos se pueden lograr beneficios como menos accidentes, menos defectos, menos demoras y mayor satisfacción de clientes. Se recomienda aplicar las 5S en diferentes áreas como la oficina, el hogar y el automó
This document provides an overview of the organizational structure and educational system in the Philippines. It begins with an organizational chart showing the different bureaus, offices, and agencies that make up the Department of Education. It then discusses key concepts in school administration and supervision including the significance, types, management functions, and how it operates in the Philippine context. The document also contrasts the traditional and modern concepts of administration as well as the values of clinical and traditional supervision.
Concepts and principles of organization, administration, and supervisionMalditang Maharot
This document discusses key concepts in organization and administration of schools. It defines an organization as a social unit established to achieve specific objectives through grouping work and allocating responsibilities. A school is an organization with a purpose to educate students. The document outlines the functions, responsibilities, duties, and tasks required within an organization. It distinguishes administration, which implements policies, from management, which sets policies and plans. Educational administration arranges resources and programs to achieve educational goals through planning, policy, and implementation. Supervision ensures quality teaching and learning by supporting teachers' instructional delivery and improving school subsystems.
The document discusses different approaches to curriculum development in the Philippine context. It provides an overview of the history of curriculum development in the Philippines under different ruling powers from pre-Spanish times to the present Philippine Republic. It also outlines key factors to consider in curriculum development such as cultural values, knowledge of learners, teaching/learning theories, and content selection. Different theories and approaches to curriculum development are examined, including technical-scientific, behavioral, and humanistic approaches.
This presentation was made for the subject "THE TEACHING PROFESSION". Philippines was the country assigned to us and we need to compare it with the other country's education system.
Curriculum Development Lesson 1: Concepts, Nature and Purposes of Curriculum ...Leen Venti
The document discusses various perspectives on curriculum from traditional and progressive views. It also covers theorists like Tyler, Taba, and their models of curriculum development. Additionally, it examines different types of curricula like recommended, written, taught, and learned curricula. The document also explores the philosophical, psychological, and social foundations of curriculum and how they influence curriculum development.
This document discusses the history and development of curriculum in the Philippines. It covers the influences of Spanish colonial rule, American rule, and the Japanese occupation on the Philippine curriculum. It also describes the essentialist and progressive schools of thought on curriculum development. Additionally, it discusses the modernization and reforms of the Philippine curriculum after independence, including an emphasis on moral values, relevance, vocational education, and national consciousness. The document provides context on how political, economic, social, and religious factors have shaped curriculum development in the Philippines over time.
This document discusses quality management techniques. It provides an overview of six sigma quality methodology, which establishes quality standards and goals for products. It also discusses using tools like control charts, check sheets, Pareto charts, scatter plots and Ishikawa diagrams to measure quality, identify issues, and determine corrective actions. The document lists several quality management tools in detail and provides additional related quality management topics and resources.
This document provides an overview and examples of quality management systems. It discusses implementing a quality assurance process to reduce defects and costs. It recommends keeping documentation and processes simple using visual diagrams. Several quality management tools are described, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Links are provided to download additional quality management resources.
This document discusses the advantages of implementing a quality management system (QMS) such as ISO 9001. It lists several key advantages in 3 points:
1) Achieving international recognition and consistency of processes within the organization.
2) Boosting employee morale and ensuring customer satisfaction through consistent and efficient processes.
3) Improving processes based on documented facts and ensuring a factual approach to decision making with well-structured documentation.
This document discusses the benefits of implementing a quality management system that is compliant with ISO 9001 standards. It lists several key benefits, including increased efficiency, revenue, and employee morale through more structured and consistent processes. Other benefits mentioned are achieving international recognition, more factual decision making, improved supplier relationships, effective documentation, and consistency across all company processes. The document also provides information on common quality management tools like check sheets, control charts, Pareto charts, and scatter plots that can be used as part of a quality management system.
This document discusses the benefits of quality management systems. It lists increased efficiency, revenue, employee morale, international recognition, fact-based decision making, supplier relationships, documentation, consistency, customer satisfaction, and improvement processes as benefits. It also provides examples of quality management tools including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms. Finally, it lists related topics to quality management systems.
The document discusses the purpose of quality management systems. It defines quality management as a concept used throughout a business to improve product quality by focusing on continuous improvement and high standards at all stages of production. The primary goal of a quality management system is to improve customer satisfaction, increase sales, and further the goodwill of a business by identifying waste and inefficiencies to reduce costs. The document also provides examples of common quality management tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms.
The document discusses the key components of quality management systems. It identifies six main components: management support, customer focus, process approach, continual improvement, quality management tools, and other related topics. It provides details on each component and describes several common quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. The goal of quality management is to systematically meet or exceed customer expectations through continual improvement.
This document provides information about and a template for a quality management system. It includes a 23 policy and procedure template that has been used successfully by training companies seeking accreditation. The template covers key areas like quality assurance, resource management, learning program development, and assessment. It is intended to help explicitly document quality processes that are often implicit. The template can be customized for a specific organization and accrediting body. Quality tools like check sheets, control charts, Pareto charts, scatter plots and histograms are also discussed.
The document provides information about the Asian Institute of Quality Management (AIQM), including that it is run by experts with backgrounds in process excellence training and consultancy. AIQM conducts Lean Six Sigma, TQM, and other quality management training and consultancy services in several countries. The document also lists several quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. It provides brief descriptions of each tool.
This document provides information about quality management system policy including definitions, tools, and guidelines. It discusses the key aspects of a quality management system policy such as executive responsibility, quality functions, system establishment and maintenance, and system review and improvement. Examples of common quality management tools are also defined, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Other related topics about quality management systems are listed for further reference.
This document provides information about quality management system procedures including forms, tools, and strategies. It discusses developing procedures according to ISO 9001 standards and simplifying procedures. Quality management tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms are explained. Additional related topics like quality management systems, courses, and standards are also listed.
This document discusses quality management objectives and provides resources for learning more. It explains that quality objectives can range from long-term strategic goals set by top management to short-term tactical goals. Objectives should follow the SMART criteria and be communicated throughout the organization. Key quality measures are selected and objectives are based on these measures. Strategies are developed to accomplish objectives within set timeframes. Performance is then tracked against the objectives. Common quality management tools like check sheets, control charts, Pareto charts, and scatter plots are also overviewed.
This document discusses quality management in manufacturing. It provides definitions of quality management systems and how they can help identify potential quality issues. It also lists several quality management tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms that can be used to monitor quality. Finally it provides some additional related topics in quality management in manufacturing that can be downloaded as PDFs.
This document discusses quality planning in project management. It defines quality planning as determining the standards a project will meet, how those standards will be achieved and confirmed, and how quality planning influences costs, scheduling and other factors. Quality planning sets standards, includes SMART benchmarks to measure progress, delegates responsibility for meeting benchmarks, and controls costs through a cost-benefit analysis of quality requirements. The document also lists several quality management tools including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms and provides additional related quality planning topics.
This document provides information about BTech quality management. It discusses the importance of quality management courses for engineering students. It outlines the typical paper pattern for a quality management course, including section topics and frequently asked questions. It also lists and describes several commonly used quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Finally, it provides additional related terms about quality management systems that can be downloaded as PDFs.
This document provides an overview of tools and resources for service quality management systems. It discusses common questions around implementing a quality management system and why documentation, processes and an organization chart are important. Key points of a quality management system include having a structured approach to developing and improving processes through deployment, control and continuous improvement. Common quality management tools are also outlined, including check sheets, control charts, Pareto charts, scatter plots and Ishikawa diagrams. Additional PDF resources on related quality management topics are listed.
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This document discusses quality management systems. It defines a quality management system as a set of policies, processes, and procedures required to plan and execute core business areas while meeting requirements. ISO 9001 is provided as an example quality management standard. Several quality management tools are also described, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. These tools can help identify issues, monitor processes, determine causes of problems, and measure quality. Additional related topics like management systems, courses, and standards are also listed.
This document provides guidance on setting up a quality management system that is compliant with ISO 9001 standards. It recommends starting by sending key staff to training on ISO 9001 fundamentals and internal auditing. An internal employee or external consultant can then help develop the quality management system by performing a gap analysis, creating documentation templates and procedures, and writing a quality manual. The full implementation may take two to three weeks and will require certification from an external auditing body. Tools like check sheets, control charts, Pareto charts and histograms can support quality management.
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This document discusses quality management documentation and provides resources for learning more. It describes MasterControl software which automates quality management processes like document approval. The software connects quality processes, provides visibility into reporting, and allows customizing document lifecycles. Quality management tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms are also summarized.
This document discusses quality management dashboards and provides resources for creating them. It explains that a quality management dashboard can track key metrics and analyses on a single page report to help focus quality improvement efforts. The dashboard simplifies reporting and allows managers to monitor quality performance and issues at a glance. The document also lists several quality management tools that can be incorporated into a dashboard, such as check sheets, control charts, Pareto charts, scatter plots, and histograms. These tools help identify problems, analyze causes, and prioritize corrective actions.
This document provides information about quality management for a project. It discusses quality planning, which involves identifying relevant quality standards and how to satisfy them. Quality planning should be done during project planning and coordinated with time, risk, and other planning. The document lists several quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms. It also provides links to additional quality management resources.
This document provides an overview of pharmaceutical quality management. It discusses risk management in the pharmaceutical industry and the importance of a robust quality system. An effective quality system should focus on quality management, quality assurance, evaluation analysis, risk management, preventive action, and continuous improvement. It also describes the key subsystems of a modern pharmaceutical quality system: quality system, production system, facilities/equipment system, laboratory controls system, materials system, and packaging/labeling system. The document provides examples of quality management tools including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and others.
The document discusses ISO 9002 quality management systems. It provides an overview of ISO 9002 and lists several quality management tools that are useful for ISO 9002 implementation, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. The document also provides examples and explanations of how each of these six tools can be used in quality management. It concludes by listing additional topics related to ISO 9002 quality management systems.
The document discusses the future of quality management. It predicts that over the next two decades, businesses will need to adapt to rapid changes by integrating excellence across their organizations. A new role of Chief Enterprise Integration Officer (CEIO) will help businesses do things right, at the right time, and in the right way to satisfy customers and improve performance. The future of quality management will involve new measurement systems, enterprise-wide roadmaps, innovation integrated with data analytics, and leadership focused on continuous improvement. Key tools for quality management discussed include check sheets, control charts, Pareto charts, and scatter plots.
The document discusses key aspects of a documented quality management system, including forms, tools, and strategies. It provides an overview of why businesses should implement a formal documented quality management system rather than an informal system. Specific quality management tools are also described in detail, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and other related topics.
The document provides information about becoming a Certified Quality Management Professional, including an overview of a certificate program made up of 5 modules that teaches skills like Total Quality Management, Statistical Process Control, and ISO 9001. It also describes 6 common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Other related topics like quality management systems, courses, and standards are also listed.
1. 5 s in quality management
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I. Contents of 5 s in quality management
==================
It is nowhere near as catchy, but essentially the 5S technique is to clean and organise your
workspace to improve your workflow, and then to make this “the way it is done”.
Sort
The first task is to sort everything in the work area so that unnecessary items (tools, parts,
equipment, storage bins, etc) can be removed and either discarded or stored elsewhere. This step
de-clutters the workspace and prioritises tools and materials that are used frequently.
Straighten (Set in order or Systemise)
!
Then you arrange everything in the work area so that the work flows in an orderly fashion. This
often involves creating storage solutions that facilitate the work flow, by placing more frequently
used items so they are quick and easy to access. This step is usually about a workstation but can
also include rearranging process steps to improve work flow on a larger scale.
Shine (or Sweep)
Depending on the starting state, this may involve a big initial effort, and can include painting and
installing better lighting to make the workspace clean and tidy. Apart from resulting in a more
pleasant and safer work environment, it will also be much easier to notice leaks, spills,
breakages, etc.
However, ‘shine’ is also an important part of the ongoing process where the work space and
equipment are cleaned and restored to their proper place at the end of each shift. Basic
2. preventative maintenance tasks like tightening, oiling, restocking are part of this. The
workstation is then ready for the next user (or the next day) and the order created in the first two
steps is preserved.
Standardize
So that the 5S project is not just a spring cleaning exercise, you will need to ensure that everyone
knows what are the current steps to follow and to establish expectations for the process.
In order for the changes to ‘stick’, you will need to conduct training, create documented
procedures, work instructions, use visual guides, checklists, and/or photos. It will be easier to
make changes if users of the system understand why they were made and ideally, they will have
been involved in making the changes in the first place.
Visual controls include the familiar tape markings and shadow boards. By assigning everything
to specific locations, you reduce time wasted looking for tools or equipment. If good visual
controls have been installed, it should be immediately obvious if a problem exists in the work
area, e.g. a missing tool.
Where there are multiple workstations for the same or similar tasks, setting them up in a standard
way will increase efficiency and make them much more interchangeable for users.
Sustain
You have to keep it going so that the old ways do not return, otherwise all that time and effort
and $$ will have been wasted. You will need to followup over a period of time until the ‘new
way’ becomes entrenched.
This will be easier if the changes have made it easy to do the right thing. The design of the work
should facilitate the process, not place a burden on employees.
Sustaining the new processes is often the most difficult task. If the focus drifts away from 5S,
then the work area will drift back to the old state. Strategies include daily meetings, ‘mini-
audits’, and ongoing continuous improvement efforts.
==================
III. Quality management tools
1. Check sheet
3. The check sheet is a form (document) used to collect data
in real time at the location where the data is generated.
The data it captures can be quantitative or qualitative.
When the information is quantitative, the check sheet is
sometimes called a tally sheet.
The defining characteristic of a check sheet is that data
are recorded by making marks ("checks") on it. A typical
check sheet is divided into regions, and marks made in
different regions have different significance. Data are
read by observing the location and number of marks on
the sheet.
Check sheets typically employ a heading that answers the
Five Ws:
Who filled out the check sheet
What was collected (what each check represents,
an identifying batch or lot number)
Where the collection took place (facility, room,
apparatus)
When the collection took place (hour, shift, day
of the week)
Why the data were collected
2. Control chart
Control charts, also known as Shewhart charts
(after Walter A. Shewhart) or process-behavior
charts, in statistical process control are tools used
to determine if a manufacturing or business
process is in a state of statistical control.
If analysis of the control chart indicates that the
process is currently under control (i.e., is stable,
with variation only coming from sources common
to the process), then no corrections or changes to
process control parameters are needed or desired.
In addition, data from the process can be used to
predict the future performance of the process. If
the chart indicates that the monitored process is
not in control, analysis of the chart can help
determine the sources of variation, as this will
4. result in degraded process performance.[1] A
process that is stable but operating outside of
desired (specification) limits (e.g., scrap rates
may be in statistical control but above desired
limits) needs to be improved through a deliberate
effort to understand the causes of current
performance and fundamentally improve the
process.
The control chart is one of the seven basic tools of
quality control.[3] Typically control charts are
used for time-series data, though they can be used
for data that have logical comparability (i.e. you
want to compare samples that were taken all at
the same time, or the performance of different
individuals), however the type of chart used to do
this requires consideration.
3. Pareto chart
A Pareto chart, named after Vilfredo Pareto, is a type
of chart that contains both bars and a line graph, where
individual values are represented in descending order
by bars, and the cumulative total is represented by the
line.
The left vertical axis is the frequency of occurrence,
but it can alternatively represent cost or another
important unit of measure. The right vertical axis is
the cumulative percentage of the total number of
occurrences, total cost, or total of the particular unit of
measure. Because the reasons are in decreasing order,
the cumulative function is a concave function. To take
the example above, in order to lower the amount of
late arrivals by 78%, it is sufficient to solve the first
three issues.
The purpose of the Pareto chart is to highlight the
most important among a (typically large) set of
factors. In quality control, it often represents the most
common sources of defects, the highest occurring type
of defect, or the most frequent reasons for customer
complaints, and so on. Wilkinson (2006) devised an
5. algorithm for producing statistically based acceptance
limits (similar to confidence intervals) for each bar in
the Pareto chart.
4. Scatter plot Method
A scatter plot, scatterplot, or scattergraph is a type of
mathematical diagram using Cartesian coordinates to
display values for two variables for a set of data.
The data is displayed as a collection of points, each
having the value of one variable determining the position
on the horizontal axis and the value of the other variable
determining the position on the vertical axis.[2] This kind
of plot is also called a scatter chart, scattergram, scatter
diagram,[3] or scatter graph.
A scatter plot is used when a variable exists that is under
the control of the experimenter. If a parameter exists that
is systematically incremented and/or decremented by the
other, it is called the control parameter or independent
variable and is customarily plotted along the horizontal
axis. The measured or dependent variable is customarily
plotted along the vertical axis. If no dependent variable
exists, either type of variable can be plotted on either axis
and a scatter plot will illustrate only the degree of
correlation (not causation) between two variables.
A scatter plot can suggest various kinds of correlations
between variables with a certain confidence interval. For
example, weight and height, weight would be on x axis
and height would be on the y axis. Correlations may be
positive (rising), negative (falling), or null (uncorrelated).
If the pattern of dots slopes from lower left to upper right,
it suggests a positive correlation between the variables
being studied. If the pattern of dots slopes from upper left
to lower right, it suggests a negative correlation. A line of
best fit (alternatively called 'trendline') can be drawn in
order to study the correlation between the variables. An
equation for the correlation between the variables can be
determined by established best-fit procedures. For a linear
correlation, the best-fit procedure is known as linear
6. regression and is guaranteed to generate a correct solution
in a finite time. No universal best-fit procedure is
guaranteed to generate a correct solution for arbitrary
relationships. A scatter plot is also very useful when we
wish to see how two comparable data sets agree with each
other. In this case, an identity line, i.e., a y=x line, or an
1:1 line, is often drawn as a reference. The more the two
data sets agree, the more the scatters tend to concentrate in
the vicinity of the identity line; if the two data sets are
numerically identical, the scatters fall on the identity line
exactly.
5.Ishikawa diagram
Ishikawa diagrams (also called fishbone diagrams,
herringbone diagrams, cause-and-effect diagrams, or
Fishikawa) are causal diagrams created by Kaoru
Ishikawa (1968) that show the causes of a specific
event.[1][2] Common uses of the Ishikawa diagram are
product design and quality defect prevention, to identify
potential factors causing an overall effect. Each cause or
reason for imperfection is a source of variation. Causes
are usually grouped into major categories to identify these
sources of variation. The categories typically include
People: Anyone involved with the process
Methods: How the process is performed and the
specific requirements for doing it, such as policies,
procedures, rules, regulations and laws
Machines: Any equipment, computers, tools, etc.
required to accomplish the job
Materials: Raw materials, parts, pens, paper, etc.
used to produce the final product
Measurements: Data generated from the process
that are used to evaluate its quality
Environment: The conditions, such as location,
time, temperature, and culture in which the process
operates
6. Histogram method
7. A histogram is a graphical representation of the
distribution of data. It is an estimate of the probability
distribution of a continuous variable (quantitative
variable) and was first introduced by Karl Pearson.[1] To
construct a histogram, the first step is to "bin" the range of
values -- that is, divide the entire range of values into a
series of small intervals -- and then count how many
values fall into each interval. A rectangle is drawn with
height proportional to the count and width equal to the bin
size, so that rectangles abut each other. A histogram may
also be normalized displaying relative frequencies. It then
shows the proportion of cases that fall into each of several
categories, with the sum of the heights equaling 1. The
bins are usually specified as consecutive, non-overlapping
intervals of a variable. The bins (intervals) must be
adjacent, and usually equal size.[2] The rectangles of a
histogram are drawn so that they touch each other to
indicate that the original variable is continuous.[3]
III. Other topics related to 5 s in quality management (pdf download)
quality management systems
quality management courses
quality management tools
iso 9001 quality management system
quality management process
quality management system example
quality system management
quality management techniques
quality management standards
quality management policy
quality management strategy
quality management books