Acceptance Sampling (including AQL selection)

Acceptance sampling is a widely used technique for the inspection of incoming and outgoing product. Sampling standards, such as ANSI/ASQ Z 1.4 for inspection by attributes, are used to select sample sizes. The sampling standards are based around the concept of the AQL (Acceptable Quality Limit). It is important that the AQL is suitably established, and that the appropriate sample sizes are chosen so that correct decisions are made on the acceptance or rejection of lots. This course will provide detailed information on the correct procedures to be followed in choosing samples sizes.

Delivery Mode

  • Public
    Programmes

    Dates
    18 Feb 2020
  • Customised
    In-House
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SnapshotSnapshot

What's covered?

  • Introduction to the statistics relevant to inspection by attributes and variables
  • Explanation of sampling inspection system terminology including; acceptance quality limit (AQL), inspection levels, attributes, variables, probability of acceptance, operating characteristic (OC), random sampling
  • The correct approach to determining the acceptance quality limit (AQL)
  • Identifying the appropriate inspection level and sample sizes in the sampling tables
  • Exercises in the use of the sampling tables selecting the appropriate sampling plans for inspection by attributes and variables. How the tables are used to decide on acceptance or rejection of a lot
  • How to correctly use the switching rules for optimum effectiveness

Most of the course time will be devoted to the standard for inspection by attributes, as this is the standard most commonly used in industry. However, examples from the standard for inspection by variables will also be studied, and the circumstances in which the standard for inspection by variables is used will be explained.

Who should participate?

  • Staff who have responsibility for selecting sample sizes for inspection of incoming or outgoing lots of product
  • Quality engineers and quality auditors
  • Quality assurance staff responsible for setting acceptable quality limits (AQL’s)

What will I learn?

Participants achieve the following learning outcomes from the programme;

  • Select sampling sizes for inspection using the international sampling plans, such as ANSI/ASQZ1.4, ISO 2859, or BS 6001
  • Implement sampling procedures based on AQL’s
  • Demonstrate understanding of the switching rules and use of the normal, tightened and reduced sampling tables

Who are the tutors?

Albert Plant

With a background of twenty year’s practical experience, Albert Plant is Ireland’s leading trainer and consultant in the application of statistics in manufacturing, industry and business. Combining Degrees in Engineering and Statistics, he brings a unique blend of a deep understanding of manufacturing technology with expertise in all aspects of statistical and data analysis to his training courses.
Attendees on Albert’s training courses include people, many with PhDs, undertaking the most advanced research and development in pharmaceuticals, medical devices, nanotechnology and other leading-edge specialities, who require statistical skills to understand the outcome of their research work.

Many customers require that the training courses be customised and Albert has developed a high level of expertise in meeting this requirement. His In-House courses typically incorporate company data and both the length and content of the courses are agreed in advance with the customer to meet very specific needs.

Minitab is the leading brand of general purpose statistical software and Albert has a twenty year association with Minitab. He contributed to the development of the Acceptance Sampling module in Minitab and, as a volunteer tester for new versions of the software, he was involved in the testing of version 17 prior to its release in 2014. He also has a high level of expertise in other statistical software, such as Design Expert, which he uses in Design of Experiments.


Dick Delaney

Dick Delaney, a Fellow of the Academy of Biomedical Science, started his career in Clinical Chemistry working in a number of hospitals in Ireland before being seconded to the World Health Organization in Africa.  In 1980 he moved to Galway Mayo Institute of Technology as lecturer and course co-ordinator in Medical Laboratory Science. In 1992 Dick completed an MSc in Applied Statistics and has since been involved in lecturing on the statistical aspects of Quality Management to Diploma and Degree students.  Through links with the pharmaceutical and medical device industry he has been responsible for a number of projects in process control and improvement, uncertainty estimation and SPC training.  One of Dick’s main strengths is his ability to explain complex statistical concepts in simple everyday language. He believes in keeping the theory to a minimum, the emphasis being on practical applications using statistical software.

Dick has extensive experience in the quality tools involved in problem solving and working in teams to resolve.


Grainne Heneghan

Grainne is a highly experienced Continuous Improvement and Lean Six Sigma Master Black Belt with over 20 years’ experience in the global IT industry.

Grainne has 11 years’ experience of developing and delivering training and working with Quality and Lean Six Sigma methodologies, tools and techniques, with focus on improving processes, reducing waste and decreasing costs for teams and organisations. She is resourceful and adaptable and uses strong communication and interpersonal skills along with metrics, data and logic to ensure that teams achieve their goals and successfully implement change within their organisations.

Grainne has trained and coached many Yellow, Green and Black Belt students to successful certification. She likes to blend her efficient organising skills and strong attention to detail with a softer empathetic and practical approach to projects. She is open-minded with a holistic and positive approach when working with teams.

Grainne enjoys working with teams and training students to use and to get the most from tools such as Minitab, and other statistical methods and techniques.


How do we train and support you?

Course Manual
Delegates will receive a very comprehensive course manual, which explains the statistics underlying sampling plans, describes in detail how the sampling tables for both attributes and variables are used, incorporates worked examples of selecting appropriate sampling plans for given AQL’s, and shows how the switching rules are correctly used. The manual will contain copies of the relevant tables from the current versions of ANSI/ASQ Z1.4 and the ANSI/ASQ Z 1.9 standards.

Grainne Heneghan

Duration: 1 dayPublic Price: €395
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