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Certificação CQE/ASQ

Certificação CQE/ASQ

Preparação para os exames de certificação "Quality Engineer" da American Society for Quality

"Refresher Course"

APRESENTAÇÃO E DESCRIÇÃO
Este " refresher course" é baseado no modelo americano de preparação de profissionais da Qualidade para certificação de ampla aceitação internacional.

A certificação é concedida pela própria American Society for Quality - ASQ, através de exames realizados no Brasil, coordenados pela International Member Unit - IMU, sob a responsabilidade de grupo de profissionais detentores de uma ou mais certificações ASQ.

É programa de auto-estudo com acompanhamento, que sempre obteve resultados significativos, em termos de aprovação. Nas últimas provas aplicadas , o índice alcançado por treinandos preparados pela ABCQ superou 70%.

O material didático em que as sessões se apóia foi desenvolvido especialmente, alternando textos em português e em inglês. Dá ênfase a questões que se assemelham às do exame, trabalhadas no decorrer do treinamento e em simulações da prova oficial da American Society for Quality, em inglês, com duração de 5 horas e 160 questões de múltipla escolha. É, portanto, imprescindível agilidade no idioma, para leitura e interpretação.

REQUISITOS PARA INSCRIÇÃO
É necessário demonstrar-se por currículo experiência profissional em áreas relacionadas à qualidade, assim computada:
a. Oito anos, sendo três em funções de decisão
b. Crédito educacional, não sendo obrigatório ter-se o título de engenheiro:
Graduação completa em Tecnologia, Engenharia, Matemática ou áreas afins, de escolas técnicas, faculdades ou universidades, credita a seguinte experiência:
* Grau de doutor/mestre - 5 anos, complementados por 3 anos de experiência profissional;
* Grau de bacharel/licenciatura - 4 anos, complementados por 4 anos de experiência profissional
* Tecnólogo - 2 anos, complementados por 6 anos de experiência profissional
Assim, além da aprovação nos exames, é condição indispensável a comprovação de experiência profissional.


CONTEÚDO
O material didático apresenta o conteúdo mínimo publicado pela ASQ, podendo ser complementado, no todo ou em parte, pelos instrutores incumbidos do desenvolvimento em sala de cada bloco de disciplinas.

I. MANAGEMENT AND LEADERSHIP IN QUALITY ENGINEERING
A. Professional Conduct and ASQ Code of Ethics
B. Management Systems for Improving Quality (e.g., policy deployment, benchmarking, goal setting, planning and scheduling, project management, quality information systems)
C. Leadership Principles and Techniques (e.g., leading quality initiatives, team development, team building, team organization)
D. Facilitation Principles and Techniques (e.g., role and responsibilities, conflict resolution)
E. Training (e.g., needs analysis, program development, material construction, determining effectiveness)
F. Cost of Quality (e.g., concepts, data collection, and reporting)
G. Quality Philosophies and Approaches (e.g., Juran, Deming, Taguchi, Ishikawa)
* Benefits of quality
* History of quality
* Definitions of quality
H. Customer Relations, Expectations, Needs, and Satisfaction (e.g., QFD, customer satisfaction surveys)
I. Supplier Relations and Management Methodologies (e.g., qualification, certification, evaluation, ratings, performance improvement)

II. QUALITY SYSTEMS DEVELOPMENT, IMPLEMENTATION, AND VERIFICATION
A. Elements of a Quality System
B. Documentation Systems (e.g., configuration management, document control)
C. Domestic and International Standards and Specifications
D. Quality Audits
1. Types and purpose of quality audit (e.g., product, process, system, registration, certification, 1st party, 2nd party, 3rd party, management, compliance)
2. Roles and responsibilities of individuals involved in the audit process (e.g., audit team, client, auditee)
3. Quality audit planning, preparation, and execution
4. Audit reporting and follow-up (e.g., need for corrective action and verification)

III. PLANNING, CONTROLLING, AND ASSURING PRODUCT AND PROCESS QUALITY
A. Processes for Planning Product and Service Development
1. Classification of quality characteristics
2. Design inputs and design review
3. Validation and qualification methods
4. Interpretation of technical drawings and specifications
5. Determining product and process control methods
B. Material Control
1. Material identification, status, and traceability
2. Sample integrity (e.g., avoiding contamination or misidentification)
3. Material segregation
4. Material Review Board (MRB)
C. Acceptance Sampling
1. General concepts (e.g., lot-by-lot protection, average quality protection, producers and consumers risk, operating characteristics [OC] curves)
2. Definitions (AQL, LTPD, AOQ, AOQL)
3. Standards (ANSI, ASQC Z1.4, ANSI/ASQC Z1.9)
4. Acceptance sampling plans (single, double, multiple, sequential, continuous) including Dodge-Romig (Analysis)
D. Measurement Systems
1. Terms and definitions (e.g., precision, accuracy, metrology)
2. Destructive and nondestructive measurement and test methods
3. Selection of measurement tools, gages, and instruments
4. Measurement system analysis (e.g., repeatability and reproducibility, measurement correlation, capability, bias, linearity)
5. Metrology (traceability to standard, measurement error, calibration systems, control of standards and integrity)
IV. RELIABILITY AND RISK MANAGEMENT
A. Terms and Definitions (e.g., MTTF, MTBF, MTTR, availability, failure rate)
B. Reliability Life Characteristic Concepts (e.g., bathtub model)
C. Design of Systems for Reliability (redundancy, series, parallel)
D. Reliability and Maintainability
* Prediction
* Prevention
* Maintenance Scheduling
E. Reliability Failure Analysis and Reporting
F. Reliability / Safety / Hazard Assessment Tools
* Failure mode and effects analysis (FMEA)
* Failure mode and effects criticality analysis (FMECA)
* Fault-tree analysis (FTA)

V. PROBLEM SOLVING AND QUALITY IMPROVEMENT
A. Approaches (e.g., Kaizen, CI, PDSA)
B. Management and Planning Tools (affinity diagrams, tree diagrams, process decision program charts, matrix diagrams, interrelationship digraphs, prioritization matrices, and activity network diagrams)
C. Quality Tools (Pareto charts, cause and effect diagrams, flowcharts, control charts, check sheets, scatter diagrams, and histograms)
D. Corrective Action (problem identification, correction, recurrence control, effectiveness assessment)
E. Preventive Action (e.g., error proofing, opportunities for improvement, robust design)
F. Overcoming Barriers to Quality Improvement

VI. QUANTITATIVE METHODS
A. Concepts of Probability and Statistics
1. Terms (e.g., population, parameter, statistic, random sample, expected value)
2. Drawing valid statistical conclusions (e.g., enumerative and analytical studies, assumptions and robustness)
3. Central limit theorem and sampling distribution of the mean
4. Basic probability concepts (e.g., independence, mutually exclusive, multiplication rules, complementary probability, joint occurrence of events)
B. Collecting and Summarizing Data
1. Types of data (continuous vs. discrete; variables vs. attributes)
2. Measurement scales (nominal, ordinal, interval, ratio)
3. Methods for collecting data (e.g., check sheets, coding data, automatic gaging)
4. Techniques for assuring data accuracy and integrity
5. Descriptive statistics (measures of central tendency and variation, frequency distribution, cumulative frequency distribution)
6. Graphical methods
a. Depicting relationships (e.g., stem-and-leaf plots, box-and-whisker plots, run charts, scatter diagrams)
b. Depicting distributions (e.g., histogram, normal probability plot, Weibull plot)
C. Properties and Applications of Probability Distributions
1. Discrete distributions (binomial, Poisson, hypergeometric, multinomial)
2. Continuous distributions (uniform, normal, bivariate normal, exponential, log normal, Weibull, Chi-square, Student´s t, F-distribution)
D. Statistical Decision-Making
1. Point and interval estimation (efficiency and bias of estimators, standard error, tolerance intervals, confidence intervals)
2. Hypothesis testing
a. Tests for means, variances, and proportions
b. Significance level, power, type I and type II errors
c. Statistical versus practical significance
3. Paired comparison
4. Goodness-of-fit tests
5. Analysis of Variance (ANOVA)
6. Contingency tables
E. Measuring and Modeling Relationships Between Variables
1. Simple and multiple least-squares linear regression (e.g., calculate and use the regression model for estimation and inference, interpret regression statistics)
2. Simple linear correlation (e.g., calculate and interpret the correlation coefficient, perform hypothesis test and calculate confidence interval for the correlation coefficient)
3. Basic time-series analysis (e.g., apply basic time-series such as moving average, interpret time-series graphs to identify trends, seasional, and cyclical variation, etc.)
F. Designing Experiments
1. Terminology (e.g., independent and dependent variables, factors and levels, response, treatment, error, replication)
2. Planning and organizing experiments (e.g., objective, choice of factors and responses, defining measurement methods, choice of design)
3. Design principles (power and sample size, balance, replication, order, efficiency, randomization and blocking, interaction, confounding)
4. Design and analysis of one-factor experiments (e.g., completely randomized, randomized block)
5. Design and analysis of full factorial experiments
6. Design and analysis of two-level fractional factorial experiments
7. Taguchi robustness concepts
G. Statistical Process Control (SPC)
1. Objectives and benefits
2. Selection of variable
3. Rational subgrouping
4. Selection and application of control charts (x-bar & R, x-bar & s, individual and moving range [ImR], moving average and movinge range [MamR] median, p, np, c, u)
5. Analysis of control charts (common vs. special causes of variation and rules for determining statistical control)
6. Pre-control
7. Short-run SPC
H. Analyzing Process Capability
1. Designing and conducting process capability studies
2. Calculating process performance vs. specification
3. Process capability indices (Cp, Cpk, Cpm, CR)
4. Process performance indices (Pp, Ppk)

CARGA HORÁRIA
130 horas de sessões monitoradas, sendo recomendável auto-estudo na proporção de 3 horas, para cada hora monitorada.

LOCAL
A definir-se

EXAME ASQ
junho e dezembro 
Sábado, de 08h00 às 13h00

Exceções por motivo de religião devem ser objeto de consulta.

Há uma taxa de US$ 360.00, pagável integralmente à ASQ, para inscrição para o exame.
Para associados da ASQ há taxa com desconto.

 -  ficha de inscrição pelo e-mail abcq@abcq.com.br
- Não haverá devolução de pagamentos. A critério da coordenação do programa pela ABCQ, é possível a substituição de participante.
A ASQ não aceita substituições e cobra taxa de administração, em caso de desistência.
- Não reter IRRF.
As receitas da ABCQ, entidade sem fins de lucro, são isentas, sendo quitadas por recibo oficial -CNPJ: 48.123.459/0006-13, isenta de inscrição estadual - inscrição municipal 24.781-2.

Este programa pode ser realizado "in company",
com cronograma adequado a cada caso.

 

 



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