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| Quality Control / Quality Assurance Diploma Program |
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| A thorough program of quality assurance/quality control (QA/QC) will enable Stanford College students to a collection of meaningful and scientifically credible samples. This Program is designed to provide a strong technical education in the areas of Quality Control and Assurance and prepare students for employment in the field of Quality Control. Students will develop their technical and analytical skills in Quality Control discussing real-life subjects and samples during the course. Modules to be discussed in the program are: |
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Technical Communication
This module is designed to educate students in ways of effective communication in industry. They will be introduced to principles of technical communication and writing techniques used in daily communications including (memos, e-mails and letters), informal and formal reports, and proposals. Students will be practicing the preparation of materials, work instructions and manuals as well as how to prepare efficient and impressive technical oral presentations. |
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Total Quality Management (TQM)
TQM is an approach that seeks continuous improvement in quality of all processes, products and services of an organisation. The course aims to provide students with knowledge of statistical and other techniques of TQM and SPC. The skills relevant to applying the principles and practices of TQM in industrial, service and government settings, a theoretical and practical understanding of how industries use quality to enhance their international competitiveness, an ability to analyse difficult industrial problems and apply measurement techniques to their solution, and the ability to cooperate effectively within teams. Topics include - Historical perspectives, Fundamental Concepts of TQM, Kaizen, Variation and quality improvement, Technical Tools of TQM and SPC, Implementing TQM, Examination of various models and Sustaining TQM. This course concentrates on the practical application of quality management techniques. |
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Fundamentals of ISO 9001-2000
This training is designed to examine the fundamentals required to understand, plan and implement an effective quality management system incorporating the ISO 9001:2000 standard from the standpoint of top management. This training will cover the requirements for Management Reviews and associated requirements. Top Management will gain a firm understanding of the principles and benefits of conforming to the ISO 9001:2000 quality management system. |
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Internal Quality Audit
This course is designed to enable you to perform internal audits essential for the effective management and improvement of an ISO 9001: 2000 quality management system. Students will practice how to schedule, plan and perform an audit, report findings, conduct opening and closing meetings and establish follow up action. With the help of the workshops and role playing exercises students will experience the key stages of an audit. They will learn the necessary skills to develop, implement and audit an internal quality system that meets the requirements of ISO 9001:2000 The contents of the course provide guidance on: ISO 9001: 2000 – an overview; quality management principles,Planning and preparing for an audit, Establishing Objectives; Performing an audit, Reporting findings and non-conformities; Follow up actions,Corrective and Preventive Actions. |
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Auditing Quality Assurance
In this module students will learn how to apply the Quality Assurance concepts in the industries for implementation of Quality management System as well as Understanding the Quality Assurance Standards and the mandatory external assessment requirements. Students will obtain a foundation of quality assurance principles and methodologies and add to this knowledge base through exposure to a wide variety of typical business applications. |
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Advanced Product Quality and Control Plan (APQP)
This APQP module is designed to set up a product planning cycle for developing a new product or service. It provides an understanding of control plans and APQP methodology and how they are related.
Participants should gain the necessary skills needed to implement the APQP process, develop control plans and the reasons for and benefits of quality planning. Students will also understand what must be done in order to comply with the guidelines for product quality planning and the preparation of control plans and the tools, procedures and reporting requirements in the APQP. |
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Potential Failure Mode and Effective Analysis (FMEA)
Failure Mode and Effects Analysis (FMEA) examines what might fail, what could be the result of this failure, and what could cause such a failure. The solutions to the potential failures can then be prioritized, so that the most significant ones are dealt with first. FMEA contributes towards the overall process of continuous improvement, looking at how each task is carried out, and continuously seeking to improve efficiency and quality.
The concept of improving effectiveness and efficiency at work to keep costs down, meet deadlines, improve quality and boost productivity is crucial to survive in a competitive environment. Failure Mode and Effects Analysis is an invaluable tool which contributes to the overall process of continuous improvement, looking at a task and seeking to improve it, so helping to achieve these goals faster. It offers a structured approach to the prediction of potential failures which is applicable in a wide variety of scenarios. This course shows students how to apply this approach: examining what might fail, looking at the possible results of such a failure and analyzing what could cause it. Solutions to the potential failures are then prioritized so that the most significant ones are dealt with first. |
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Statistics Quality Control –Level I & II
Evaluate measurement systems (Gage R&R, linearity, and stability), process capability (for normal, non-normal, and binomial data), and process stability (variable and attribute control charts). Hands-on examples include applications for process improvement and the selection of appropriate estimates of variation (process variation vs. tolerance; range method vs. standard deviation; within-subgroup, between-subgroup, and overall). Techniques for quality improvement through the use of statistical process control will be discussed. The topics will include acceptance sampling, Pareto diagrams, boxplots, normal probability plots, control charts (EWMA, CUSUM), measurements of process capability and process performance. |
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Six Sigma Green Belt
In this Six Sigma Green Belt course, students will gain fundamental knowledge of the Six Sigma strategy and tools methodology to address key product/service improvement opportunities. This module is recommended for anyone who will participate in a Six Sigma, quality, or process improvement team in addition to individuals who will champion and support Six Sigma projects.
Course objective is to provide a solid foundation for students to conduct their own Six Sigma improvement project in a team environment at a Green Belt level of knowledge. During the class provide case studies and practical examples, as well as, parallel should opportunities exist in their own personal situations. |
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Introduction to Quality Manufacturing
This is a module designed to give participants a fundamental understanding of the philosophy and concepts involved in the total quality approach to quality management. Participants will be introduced to the various quality tools and techniques used in quality management. Students will learn about Total Quality; Quality and Global, Competitiveness, Quality Culture, Quality Tools, Statistical Process Control, Benchmarking, Just-in-Time Manufacturing; Implementation. |
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Introduction to Metrology
This module is designed to give students an understanding of Inspection Methods for Quality Control. It covers the basics of common dimensional inspection equipment such as micrometers and calipers, surface plate setups, and Coordinate Measuring Machines. The problem solving tools commonly used in continuous improvement will also be introduced and discussed. Also an introduction to statistical quality control including sampling plans, control charts, and process capability calculations will be provided. |
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Measure System Analysis
Participants will learn about the various studies that can gage the extent of variation within measurement results, and what the sources of the variation are. They will also understand and implement a gage management and calibration system.
Sources of variation can be found by analyzing a measuring device’s bias, linearity, stability, repeatability and reproducibility. Measurement Systems Analysis examines the nature of measurement systems and the fundamental analyses used to examine them. Further students will exercise ways to improve measurement systems and will be able to explain various sources of measurement system uncertainty. |
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Statistics Process Control
The Statistics Process Control course covers variation, process capability studies and the most important types of variable and attributes control charts. Understanding variation process capability & performance Cp, Cpk, Pp, Ppk, x-bar and R charts, attribute charts, - p, np, c and u. In this module students will learn how to use basic statistics and process capability measures and a variety of control charts, understand sources of error (sampling or analytical) and develop action strategies. |
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Quality Assurance Technology
This is a module which focuses on principles and techniques of quality engineering for the management, design, engineering, economics, production, and assurance of quality. It emphasizes fundamentals of total quality assurance for product and process control. It May include design review, fundamentals of statistics, procurement control, sampling and control chart systems, quality reporting, process capability analysis, tool and gauge control, document control, or troubleshooting quality control. |
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| Production Processes |
| This module provides an introduction of a wide range of selected manufacturing processes and studies the achievement of optimal cost and quality objectives. In all production processes, one should monitor the extent to which products meet Specifications. Students will study in the most general terms; there are two "enemies" of product quality: (1) deviations from target specifications, and (2) excessive variability around target specifications. They will learn how to put process selection and costing into the context of modern product development and manufacturing based on parameters such as material requirements, design requirements and considerations, quality and economic factors. |
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Quality Improvement by Experimentation
In this module students will be introduced to philosophy, principles and methodologies to plan and conduct experiments to test whether changes to product, process or system are improved. Study of the proposed methods of planned experimentation will help students to learn about different factors that impact the performance of the product, process or system and to use their knowledge to make changes to achieve better quality. Various principles and tools in planning and conducting an experiment will be discussed during the course. |
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| Brief descriptions of general terms used in Quality Control and Assurance |
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| Quality Control is a mechanism for ensuring that an output (product or service) conforms to a predetermined specification. The observation techniques and activities used to fulfill requirements for quality. Quality Assurance covers all activities from design, development, production, installation, servicing and documentation.The planned and systematic activities implemented in a quality system so that quality requirements for a product or service will be fulfilled. |
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Kaizen means "improvement". Kaizen strategy calls for never-ending efforts for improvement involving everyone in the organization – managers and workers alike.
Total Quality Management (TQM) refers to an integrated approach by management to focus all functions and levels of an organization on quality and continuous improvement.
Six Sigma is a set of practices originally developed by Motorola to systematically improve processes by eliminating defects & refers to the ability of highly capable processes to produce output within specification.
Six Sigma Green Belts are employees trained in Six Sigma who spend a portion of their time completing projects, but maintain their regular work role and responsibilities. Depending on their workload, they can spend anywhere from 10% to 30% of their time on their project(s).
Six Sigma Green Belt operates in support of or under the supervision of a Six Sigma Black Belt, analyzes and solves quality problems and is involved in quality improvement projects.
Six Sigma Black Belt is a professional who can explain Six Sigma philosophies and principles, including supporting systems and tools. A Black Belt should demonstrate team leadership, understand team dynamics and assign team member roles and responsibilities |
| For more infomation please contact our Admission Office at 416-383-1608 |
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