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All of us would agree that an organisation’s greatest asset is its skilled human capital, irrespective of the prevailing economic conditions. The global shift towards a knowledge based economy makes it pivotal for organisations to create a knowledgeable & skilful workforce with clear vision and higher degree of motivation to excel beyond expectations.
Our training programmes address critical business issues and assist people & organisations in improving performance and gaining new ground including our industry driven certifications and qualifications.
Through effective and targeted training, individuals and organisations will be better equipped to handle the exciting challenges and onslaught of new knowledge ahead.
Our programmes are developed in consultation with employers, industry associations and technical & management experts. Despite your location, company size or how unique your request is, we will always find a solution tailor made to your needs.
The course aims to provide delegates with an understanding of the fundamentals of Six Sigma so that they can contribute to Green Belt projects and know how to apply basis tools within a DMAIC or Problem Solving process on a routine basis.
• An introduction to Six Sigma
• Problem Solving using basic tools
• The DMAIC (Define, Measure, Analyse, Improve, Control) processes for Operational and Transactional businesses
• Understanding Data using Basic Statistics
• Ideas Generation & Selection
• Control Plans
Yellow Belt training is aimed at broadening the knowledge base of Six Sigma within a business so that DMAIC projects and problem solving have a fertile background. This will enable more projects to be identified and taken to a successful conclusion because the whole business shares an understanding of the need for improvement and how to do it.
Receive certification on successful completion
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Six Sigma Green Belt (certificate) participants receive an introduction to the tools and methods that are necessary to successfully participate in problem Solving and DMAIC improvement projects in a manufacturing or transactional environment. These tools will be introduced by a mix of up-front teaching, and group exercises to ensure learning and knowledge retention.
• Six sigma methodology and Define-Measure-Analyse-Improve-Control approach
• Importance and historical significance of six sigma methodology
• Highlights the role of Green Belt and team work for successful implementation
• Conceptual clarity regarding separation of trifles from the critical
• Using Six sigma as strategic quality tool
• Project management techniques: how to present your project, project closure and key to successful transition
• Use of right statistical tool for right problems.
• Project charter, VOC to CTQs, Kano Model, SIPOC
• Process capability, segmentation and stratification
• Measurement system analysis (attribute gage R&R)
• Box plot, rolled throughput yield, process map analysis
• Pareto, concept of lean, C&I matrix, hypothesis testing
• Correlation, C&B matrix, Poka Yoke, FMEA
• Process management charts, SPC, response plan
• Fishbone diagram, data collection plan normality study
• Run chart, control chart, sampling strategy, regression
• Aligned with ISO 13053 quantitative methods in process improvement - Six Sigma standard.
• Apply Lean Six Sigma Green Belt projects to improve operations
• Understand how to best apply and profit from Lean DMAIC methods
• Benefit from the supervision of one of our Master Black Belts
• Secure cost and time savings across business operations
• Boost professional development along with employee and customer satisfaction
• Receive certification on successful completion
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Six Sigma Black Belt (certificate) participants receive the valuable skills needed to tackle the toughest problems confronting your organization. By coupling the proven Define, Measure, Analyze, DMAIC Process map Improve, and Control (DMAIC) problem-solving methodology with robust statistical tools, Six Sigma offers a carefully defined roadmap for achieving business process improvements. Six Sigma Black Belt trainees obtain a solid understanding of the tools and methods associated with the Six Sigma approach.
• Six Sigma methodology and DMAIC process
• Highlights role of Black Belt and other team members for successful implementation
• Project selection and defining techniques for maximum impact
• How to convert practical problem to statistical problem and derive statistical solution then convert it to practical solution for implementation
• Project management techniques - How to present your project, project closure and key to successful transition
• How to use Minitab for statistical analysis
• Project Charter, VOC to CTQs, Kano Model, SIPOC
• Process Capability, Segmentation & Stratification
• Measurement System Analysis (Gage & Attribute R&R)
• Box Plot, Rolled Through Put Yield, Process Map Analysis
• Pareto, Concept of Lean, C&I Matrix, Hypothesis Testing
• Correlation, TRIZ, C&B Matrix, Mistake Proofing, FMEA
• Process Management Charts, SPC, Response Plan
• Fishbone Diagram, Data Collection Plan Normality Study
• Run Chart, Control Chart, Sampling Strategy, Regression
• Hypothesis - Formation, Alpha and Beta Risks; Test of Means, Variances, Ratios
• Hypothesis Testing of One Y,X pair: Chi Square, ANOVA (Analysis of Variance)
• Analysis of Multiple Variables: Concept of Rational Sub grouping, ANOVA (Analysis of Variance)
• Case study on Hypothesis testing - Concept of Statistical test flow chart
• Screen Potential Causes - Design of Experiments
• Significance of DOE (Design of Experiments) to causation
• DOE Terminology: Main Effects; Interactions; Factors; Settings; Factorial Designs; Degrees of Freedom
• Introduction to Factorial Design- Full and Fractional Factorial
• Factors and Output; DOE requirements; Setting up a DOE study - understanding Alias Table
• Main Effects Plot; Interactions Plot, Pareto with Confidence Intervals, significance of Standardized effect
• Change Management Tools like A-RM-I, GRPI, Stakeholder Analysis, Elevator Speech, Threat and opportunity
• Aligned with ISO 13053 quantitative methods in process improvement - Six Sigma standard
• Apply Lean Six Sigma Black Belt projects to improve operations
• Understand how to best apply and profit from Lean DMAIC methods
• Benefit from the supervision of one of our Master Black Belts
• Secure cost and time savings across business operations
• Boost professional development along with employee and customer satisfaction
• Receive certification on successful completion
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While 'Analytics' as a term has been around for some time now, 'Big data' is a more recent phrase. It has come into existence because of the sheer volume of data that is being generated today in almost every aspect of our lives. All this is creating a need to manage this data differently. When put to good use, data allows analysts to spot trends; extract insights and make predictions. . Businesses have realized that analysing this huge volume of data can give extremely valuable insights that can help them drive revenues or profits or customer loyalty.
• The concepts of essential Maths, Stats and Eco which are critical for understanding the Data Analytics Concepts
• Data Analytics Essentials
• Essential Maths
• Permutation & Combination, Linear algebra, Calculus, Set Theory & Probability
• Basic Stats & Economics
• Data Types Data Types and Data representations, Central Tendency, Dispersion, Skewness, Probability Distributions, Correlation
• Assignments /Group Activity
• Implementing Data Analytics Using R
• Statistical Inference & Predictive Analytics
• Sampling Techniques and Estimation (Point and Interval)
• Hypothesis Testing
• Linear Regression
• Analysis of Variance
• Predictive Analytics - Non Linear and Logistics Regression
• Using R and R studio
• Overview of R and Rattle
• Data Preparation
• ETL
• Working with Advanced Business Analytics Techniques Advanced Techniques in
• Market Research
• Segmentation and Cluster Analysis
• Data Mining & Special Methods in Data Mining like CRISP Methodology
• Text Mining
• Application of Advanced Techniques in Business Functions in Finance, Operations Mgmt, Supply chain, Operations Research and HRM
• Improving the decision making process ( quality & relevance)
• Speeding up of decision making process
• Better alignment with strategy
• Realising cost efficiency
• Responding to user needs for availability of data on timely basis
• Improving competitiveness
• Producing a single , unified view of enterprise information
• Synchronising financial and operational strategy
• Increase revenues
• Sharing information with a wider audience
• Receive certification on successful completion
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To prosper in today's economic climate it is essential that all quality processes are evaluated in a manner that will ensure continuous improvements in both quality and productivity. Properly applied statistical control can prevent problems and lead to - continuous improvement in product, quality, improved productivity and reduced overtime, Operator involvement and commitment to improving quality, reduced rejects, Rectification, test and inspection costs, reduce the occurrences of defective goods getting past the goods inwards stage.
• Basic Statistics
• BS6001 and Sampling
• Process Capability Studies
• Use of Statistical Process Control Charts
• Attribute Charts
• Variable Charts
• Probability Distribution
• Be aware of the aims, objectives and benefits of SQC.
• Be aware of SQC techniques including; BS6001 and Sampling, Process Capability Studies, Use of Statistical Process Control Charts, Attribute Charts, Variable Charts.
• Be aware of techniques such as Short Run SQC.
• Identify the most appropriate SQC techniques to employ.
• Identify the need for implementing SQC.
• Understand the role of SQC in improving processes.
• Be capable of completing an SPC study.
• Coherently answer questions regarding SQC.
• Receive certification on successful completion.
• Provide the opportunity to make real major financial saving through QM&T's pre and post course supported assignment scheme.
• Be QM&T validated and certificated Statistical Process Control practitioner.
• Receive certification on successful completion.
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Statistical process control (SPC) is a method of quality control which uses statistical methods. SPC is applied in order to monitor and control a process. Monitoring and controlling the process ensures that it operates at its full potential.
• Introduction to SPC
• Basic statistical concepts
• Old 7 QC Tools
• New 7 QC Tools
• Variable types of Control Charts
• Uses of Control Charts
• Process Control v Process Capability
• Attribute Control Charts
• Understand measures of central tendency
• Understand the difference between a population parameter and a sample statistic
• Distinguish between enumerative (descriptive) and inferential (analytical) studies
• Define and distinguish between statistical and practical significance
• Understand significance level, power, and type I and type II errors
• Describe statistical process control and how to use SPC to monitor and control a process
• Understand when to use various types of variable data control charts, as part of SPC
• Explain the basic rules of control chart usage and determine the appropriate control chart to use for various process parameters
• Describe how control charts and histograms aid in assessing process capability, and how to use sample data in estimating population characteristics
• Understand the characteristics of a normal distribution and how to use a normal curve in estimating proportion of product that meets specifications
• Understand how to plan, organize, and run a successful designed experiment
• Help teams use a variety of quality tools to decide which parameters to control in their processes
• Calculate control limits and see the role teams can play in reducing variation by using data from control charts
• Understand how SPC integrates into the total quality system
• Differentiate data reporting and SPC reporting
• Use charts in ways that are in compliance with customer requirements
• Select and use the best-suited control chart
• Establish control chart limits
• Establish rules for out of control occurrences
• Demonstrate an understanding of troubleshooting using SPC
• Differentiate the implementation and management issues associated with SPC
• It provides a means of detecting error at inspection.
• It leads to more uniform quality of production.
• It improves the relationship with the customer.
• It reduces inspection costs.
• It reduces the number of rejects and saves the cost of material.
• It provides a basis for attainable specifications.
• It points out the bottlenecks and trouble spots.
• It provides a means of determining the capability of the manufacturing process.
• It promotes the understanding and appreciation of quality control.
• A paradigm shift from reactive controls to pro active systems.
• Receive certification on successful completion
QA managers, quality engineers, manufacturing engineers, technical Personnel, quality analysts, quality auditors, quality technicians, and SPC coordinators, those who wish to explore how SPC techniques can be used in their own environment
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