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Introduction to Process Introduction to Process TechnologyTechnology
Principles of Quality
Today’s AgendaToday’s Agenda
• Quality – I’ll Know It When I See It• Current Issues and Trends• Pioneers of Quality• Total Quality Management (TQM)
– The Production Line Activity• Quality Cycle• International Standards Organization (ISO)• Statistical Process Control (SPC)
– You Be the Expert• Six Sigma• Supporting Quality – Role of Proc Tech
Quality – What it Means to Me
• List your expectations for quality as a customer
• List your expectations as a member of a plant community
• List your expectations of quality as a potential plant employee
• List your expectations of quality as a potential investor (stockholder)
QualityQuality
• Product or service free of deficiencies
• Characteristics of a product or service that bear on its ability to satisfy stated or implied needs
Industry ResponsesIndustry Responses
• Total Quality Management (TQM)• ISO-9000 Series• ISO-14000 Series (environmental)• Six Sigma• Statistical Process Control (SPC)• Self-directed or Self-managed Work
Teams
Pioneers of QualityPioneers of Quality
• Dr. W. Edward Deming – every job or every task is part of a process
• Joseph Juran – Pareto Principle of 80/20
• Philip Crosby – Zero Defects
Total Quality Management Total Quality Management (TQM)(TQM)
• Customer Focus
• Continuous Improvement
• Manage by Data and Facts
• Empower Employees
Quality Improvement Quality Improvement CycleCycle
• Phase 1: PLAN– Increase current knowledge of
process– Specific objectives, questions, make
predicitons, and propose plan for testing
– Outcome of plan should consider methods, resources, schedules, and people
Quality Improvement Quality Improvement CycleCycle
• Phase 2: OBSERVE & ANAYLZE– Implements data collection process
to address questions from Phase 1.– Reveals what is actually happening
and can lead to refinement of initial questions
Quality Improvement Quality Improvement CycleCycle
• Phase 3: LEARN– Combines activities from Phase 1 &
2– Results of data analysis are
compared to current knowledge and theories to see there are any contradictions
Quality Improvement Quality Improvement CycleCycle
• Phase 4: ACT– Results from Phase 3 are used to
decide whether to make changes to process or not.
– If change is indicated, brainstorming session can be conducted to determine what changes would result in improvement
TQM Applied
• The Production Line Activity (see handout)
International Organization International Organization of Standardization (ISO)of Standardization (ISO)
• Founded after WW II. Headquartered in Geneva, Switzerland
• Voluntary, non-governmental• Global standards of product and
service quality that aims to maintain quality standards and fixed defects and ensure repeated acceptable performance
ISO & TQMISO & TQM
• Overlapping expectations• TQM is defined in many ways,
while ISO standards are consistent
• ISO world-wide, TQM more US based
Why Companies Seek ISO Why Companies Seek ISO CertificationCertification
• Contractual – requirement of suppliers• Liability – improved product liability
procedures and documentation• Cost savings – increased efficiency, less
product loss• Competition – global advantage for
large and small companies• Customer Satisfaction – increased by
certification
ISO in the Processing ISO in the Processing IndustryIndustry
• Continuous Improvement
• Statistical Process Control (SPC)
• Process Technicians & Quality
• Global Market
Statistical Process Control Statistical Process Control (SPC)(SPC)
• Statistical Process Control – using data-driven methodology to control a process
• STATISTICAL– With the help of numbers
• PROCESS– We study the characteristics of our process
• CONTROL– To make it behave the way we want it to
behave
SPCSPC
• Product Directives – following the “recipe”– Correct feed– Temperature and pressure profile– Equipment speed– Additive setpoint– Level and flow setpoints
SPCSPC
• Sample Types – – Raw materials– Additives– Intermediates– End products
SPC Data TypesSPC Data Types
• Attributes – called discrete data. Data that can be counted and plotted as distinct or unconnected events.– Percentage of late shipments– Number of mistakes made during a
process
SPC Data TypesSPC Data Types
• Variables – called continuous data. Data that can be measured and plotted on a constant scale.– Flow through a pipeline– Volume in a tank
SPC – Select Proper SPC – Select Proper CategoryCategory
Data Attribute Variable
Pounds per square inch (pressure)
Gallons per minute
Temperature reading
Bad batches per shift
Flow through a pipe
Downtime for equipment
Days lost to accidents
Level in tank
Amount of electricity used
Percent of delayed deliveries
Quality Control ToolsQuality Control Tools
• Control Charts• Flow Charts• Cause and Effects Diagrams,
Fishbone• Pareto Charts• Histograms• Scatter Plots• Others
Fishbone DiagramsFishbone Diagrams
• Each branch of the diagram represents a different category of causes
• Typical categories:– Materials– Machinery– Measurement– Methods– People
• However, can create other/different categories better suited to your specific problem.
Pareto ChartPareto Chart
• Purpose:– Ranking problems from big to small
• Helps when:– Team needs to know which problems to address
first.
• Demonstrates 80/20 rule– 20% of the causes account for 80% of the
problems
• Highlights the important elements (the “vital few”) and the insignificant ones (the “trivial many”)
HistogramsHistograms
• Purpose:– To indicate the distribution and variation of
sample data
• Helps to:• Determine if process is in statistical
control – can indicate if “special causes” are causing control problems
• Histograms roughly approximate the normal distribution if everything is in control.
Distributions can be represented in several ways.
Control ChartsControl Charts
• A line graph that indicates:• Samples vary from the process average• If samples are in statistical control (w/in
control limits)• Purpose:
– To track process variation
• Helps to:– Determine if process is in statistical control
Control ChartsControl Charts
Maintenance ProgramsMaintenance Programs
• Corrective – waiting for failure to occur, then fix
• Preventative – conduct regular maintenance to avoid failure
• Predictive – monitor condition of equipment and use data to identify possible failure and their prevention
• Detective – regular check of alarms, detectors
Maintenance and Quality Maintenance and Quality ImprovementImprovement
• Total Productive Maintenance (TPM) – Overall Equipment Effectiveness
• Predictive/Preventive Maintenance (PPM)
• Using Quality Control Tools
• Working as Self-Directed Teams
Process Control Tech & Process Control Tech & QualityQuality
• Familiarize oneself with quality programs
• Practice quality habits• Provide good customer service –
internally and externally• Gather data for SPC tools• Follow documented procedures
Process Control Tech & Process Control Tech & QualityQuality
• Monitor and control process operations
• Assist with maintenance tasks such as TPM or PPM
• Troubleshoot with goal of continuous improvement in mind
• Communicate effectively• Keep quality records
Process Control Tech & Process Control Tech & QualityQuality
• Participate in quality training sessions
• Work with quality teams to achieve goals
• Utilize skills in time management, organization, planning, prioritization, and attention to detail
• CONTINUALLY IMPROVE
Summary
• Quality is applied to all aspects of the process industry
• Everyone has a role and a responsibility in quality
• There are accepted methods and statistical tools in place to perform quality analyses
Student Activities
• Quality exercise (Voice of the Customer)
• Textbook questions:– CAPT Ch. 13, pages 218 – 219,
questions 1 – 13, pages 219 – 220, activities 1 - 5
– Thomas Ch. 16, page 356, questions 1 - 10