326 Model courses in Edinburgh

Develop a deep understanding of electricity pricing and marginal cost analysis with EnergyEdge's virtual instructor-led training course. Enroll now for a rewarding learning journey!

Lean Six Sigma Black Belt Certification Program: In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

This interactive programme will use the topic of equity, diversity, and inclusion to illustrate the problem of unconscious bias and the practical solutions to overcome it. The programme will provide the opportunity for self-reflection, open discussion, and training on some of the softer skills to maximise objectivity in the workplace.

About this Virtual Instructor Led Training (VILT) Preventive and Predictive maintenance are not new concepts. Both have been used across industry all over the world and when done properly, can yield impressive results (cost reductions of 20% or greater and a leap forward in equipment reliability and performance are very achievable). However, for every company using these concepts effectively, there are many others who are not. This 8 half-day Virtual Instructor Led Training (VILT) course has been derived from the Plant Performance Improvement Road Map developed by practitioners that guarantee the reliability of your operations. The VILT training focuses on how to improve profitability of any business by identifying the right maintenance strategy for any equipment. The aim of the VILT training is to help practitioners run programmes that will deliver real benefits as fast as possible with minimum zero wasted effort. The VILT training will also cover the core principles of Reliability Centred Maintenance, Total Productive Maintenance and Six Sigma and the increasingly important role of operations in achieving optimised asset performance. This is a certified course with the option of sitting for a short exam on the final day of the course to give participants the opportunity to gain a Certificate from petroEDGE and the Carcharodon Maintenance Academy. Training Objectives Master the critical skills by acquiring the following: An understanding of how maintenance can add profit The ability to develop improvement programmes that deliver maximum benefit in the shortest time A fundamental understanding of the principles of Preventive, Predictive and other maintenance types A practical understanding of the latest methods of solving problems at root cause level An appreciation of maintenance methodologies such as Reliability Centred Maintenance Strategies for ensuring your company gets value for money from your Contractors How to use the Maintenance Model of Excellence and Plant Performance Improvement Road Map Target Audience This VILT course has been designed for maintenance managers and engineers, reliability professionals, planners, project engineers, operations team members, and functional specialists. Training Methods The VILT course will be delivered online in 8 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 8 half-day sessions, 4 hours per session (32 hours in total). Trainer Your expert course leader is an award-winning consultant and trainer with 30 years' experience in maintenance and reliability improvement. He has worked across five continents, in a wide variety of environments from the world's largest oil refinery to a small drinks production line. He has 10 years of maintenance management experience in the process industry, so he brings a very practical approach to training. He moved into consulting with ABB Eutech as their global maintenance specialist where he led maintenance and reliability best practice panels, delivered a wide range of maintenance improvement projects and trained other consultants. He is a fully qualified CMRP professional, an approved SMRP* Proctor, authorised to conduct CMRP exams and a globally respected maintenance consultant and best practice trainer. He founded his consultancy and training business in 2002 to focus on maintenance and reliability improvement. As part of this, he developed a range of maintenance 'models of excellence' with inputs from authors, international lecturers and some of the world's leading consultants and operators. His work has been recognised as being at the leading edge of industry best practice, winning independent awards such as the UK Chemical Industries Association 'Excellence in Engineering' award. He remains close to the industry as a respected specialist helping operating companies to achieve changes in performance. This ongoing field work enables him to continue to refine and extend best practice and the learning from this is continually fed into his training. His unique experience of facilitating two major turnarounds when the Coronavirus escalated into lockdown have given him a unique insight into how events of this type can disrupt maintenance. Moreover, his involvement in developing management processes and leading a Coronavirus response on a major industrial asset means he can talk with direct experience about how to cope and innovate in this global pandemic. *SMRP refers to Society of Maintenance and Reliability Professionals. PetroEdge is not affiliated with SMRP POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

DASA DevOps Professional: Enable and Scale: In-House Training DevOps embodies both cultural changes and practices through which organizations can facilitate the IT functions of software development (Dev) and software operation (Ops). The DevOps movement advocates automation and phase-based monitoring practices. Its objectives include: Decreasing development cycles · Increasing deployment frequency Improving the reliability of releases Developing a closer alignment with business objectives The DASA DevOps Professional: Enable and Scale course (formerly known as DevOps Practitioner) is designed to provide individuals with the core education necessary to put DevOps into practice. With the help of DevOps theory, pragmatic examples and exercises, and interactive group discussions, the course will help you understand how to apply the necessary skills to practice DevOps. Building on the knowledge learned on theFundamentals course (the 'why'), you will learn the 'how'. The DevOps Professional: Enable and Scale course focuses on improving the skill set of the DASA competency model, which includes competencies like Courage, Teambuilding, DevOps Leadership, and Continuous Improvement. On completion of the DASA DevOps Professional: Enable and Scale training and passing the exam, the certification is awarded. What you will Learn At the end of this program, you will be able to: Explain the importance of DevOps culture and the aspects that can influence it Explain why courage, teambuilding, leadership, and continuous improvement are required in a DevOps environment Explain why courage is essential to enable trust, honesty, and experimentation Identify and evaluate different types of behavior in a DevOps environment Recognize the signals indicating impediments and/or team dysfunctions Describe how to form good DevOps teams and assess their maturity List the effects of happiness and motivation on team performance Identify how leaders encourage feedback and transparency Discuss the factors that leaders can influence to build trust Explain how and why leaders promote a 'safe to fail' environment Analyze value streams to improve throughput and flow Facilitate the tools for continuous improvement: structured problem-solving workshops, Story Mapping sessions, and retrospectives TEAMBUILDING Teambuilding is about understanding the other's point of view, collaboration, mutual accountability, common purpose, and the ability to integrally support the service/product. Design Teams Characteristics of a DevOps team Skills of a DevOps Team Self-organization and autonomy Rules to consider when designing DevOps teams Build Teams Effects of happiness and motivation on performance Feedback Creating high-performance teams Governance Governance within teams and between multiple teams Governance between organizations DevOps contracts DEVOPS LEADERSHIP This module describes how to facilitate teams to high performance, DevOps behavior, transparency, and a service lifecycle mindset. Build Culture Creating the right environment and providing vision and purpose Stimulating the right behavior Servant leadership: giving control, supporting, and inspiring Create Purpose Defining and aligning purpose Purpose of having a purpose Alignment versus autonomy Be a Servant Leader Give control to the team Inspire and support the team Focus on Success Output versus outcome Measuring and steering COURAGE The Courage module is about coaching courageous behavior, proactivity, reflection, trust, open discussions, experimentation, fail fast, and the courage to change. Build Courage The importance of courage Courage in relationship with leadership and feedback Enabling courage at the team level Dealing with failure Think Different Courage day to day Encourage critical thinking Techniques to promote courageous behavior VALUE CUSTOMER-CENTRIC ACTION This module describes the important aspects that are relevant to identify and deliver the required and expected value for all relevant stakeholders. Aspects of Value and Managing Expectations The different aspects of value Stakeholder management Customer collaboration and using customer feedback How to do prioritization CONTINUOUS IMPROVEMENT Continuous improvement describes the importance of a Kaizen mindset, quality at the source, first time right, knowledge-sharing, and the ability to adapt. Build Flow Understanding the importance of flow Using Lean to optimize flow Kaizen as a mindset Radical change versus Kaizen Using Pull to optimize flow Continuous Improvement Tools Kaizen Event Value Stream Mapping Visual Management Retrospective Daily Standup Five Times Why

Lean Six Sigma Yellow Belt Certification Program: In-House Training This course is designed to instill an in-depth understanding of Lean Six Sigma and a clear sense of what is required to define high-impact improvement projects, establish Lean Six Sigma measurements, and complete Lean Six Sigma projects using the systematic and proven Define, Measure, Analyze, Improve, and Control (DMAIC) methodology. This course is designed to instill an in-depth understanding of Lean Six Sigma and a clear sense of what is required to define high-impact improvement projects, establish Lean Six Sigma measurements, and complete Lean Six Sigma projects using the systematic and proven Define, Measure, Analyze, Improve, and Control (DMAIC) methodology. Participants will learn basic tools and techniques of Lean Six Sigma and those who pass a thirty-question exam (70% or above) will become a Certified Lean Six Sigma Yellow Belt. This course is delivered through four 3-hour online sessions. What you Will Learn You'll learn how to: Establish the structure that supports and sustains Lean Six Sigma Quality Identify and calculate key Lean Six Sigma Measurements (Sigma, DPMO, and Yield) Select successful, high-impact projects that match strategic objectives Document, measure, and improve key processes using the DMAIC (Define, Measure, Analyze, Improve, and Control) Methodology Utilize data-based thinking to make key business decisions Introduction to the Fundamentals and Vision of Lean Six Sigma Lean Six Sigma's focus on the customer, on quality, and on results The costs of poor quality Critical factors to consider when deploying Lean Six Sigma Lean Six Sigma as a process improvement methodology Lean Six Sigma metrics Why do it - ROI and payback for Lean Six Sigma Business Process Management Critical Lean Six Sigma roles and responsibilities Main aspects of managing the organizational change Project selection Metrics of Lean Six Sigma and the DMAIC Model How to strategically align business metrics and projects within an organization How to identify and measure quality characteristics which are critical to customers What does the customer (internal or external) really want from our products and services? Establishing appropriate teams and setting those teams up to be successful What defines a good measurement system? How are we doing (learning the secret to measuring the right things, right)? How to improve output measures by understanding and measuring the process Where are there defects (how to properly select and scope high-impact projects)? Where is the process broken (the Lean Six Sigma version of root cause analysis)? How to determine the process efficiency, or value add, of a process The appropriate use of quality tools Understanding the concept of variation and how to reduce knee-jerk reactions How to achieve breakthrough results for any key measure How can we ensure the identified improvements will be sustainable (the basics of process control)?

This half day course is designed to help participants learn more about the new legal form for charities, the Charitable Incorporated Organisation (CIO), which was introduced in January 2013. The session will set the context and background to the introduction of the CIO, explore its potential benefits (and weaknesses) when set against the company limited by guarantee structure and introduce the two constitution models – the Foundation version (where only trustees are members) and the Association model (where the organisation’s membership is wider). By the end of the course participants should have a deeper knowledge of the subject so that they are able to make a more informed choice as to whether this legal entity might work for their organisation.

Well-being isn't just a 'nice to have' - it should be a core part of your employee strategy.

About this VILT Tripod can be used in any area of business where the organisation has a management system in place to prevent unwanted events e.g., health, safety, environment, quality, security, productivity, project management, and many more Tripod Beta is one of several tools based on Tripod's fundamental principles. Tripod Beta is based on proven theories, man years of academic research, and testing in the workplace. The Swiss Cheese Model originated from this work. Features of the methodology are: 1) the Tripod Beta diagram; it provides an easy-to-read summary of the entire investigation on a single page, 2) it accommodates deficiencies in leadership and worker participation, 3) it accommodates deficiencies in human behaviour, and 4) it highlights missing controls (not just controls that failed). Quality throughout all aspects of Tripod is assured by the Stichting Tripod Foundation (STF) and the Energy Institute. The participants will gain a theoretical understanding of the Tripod Beta methodology and terminology. They will be able to read Tripod diagrams and reports, and be able to assist incident investigation/analysis as a team member. This is the first step to becoming an accredited silver or gold practitioner. Tripod Beta Practitioner Accreditation is meant to build these skills, through a blend of support, coaching and assessments. Feedback is provided on Tripod incident investigation reports, giving the Practitioner the opportunity to hone their skills and become confident in their ability to use Tripod effectively. Training Objectives Upon completion of this course, participants will be able to: Pass the Tripod Beta Practitioner (Bronze Level) exam Act as a team member or Tripod facilitator on an incident investigation Plan and schedule activities for an incident investigation Focus line of enquiry during an investigation Engage with the most relevant people at each stage of the investigation Describe the incident causation paths in terms that align with their management system Consider issues relating to leadership, worker participation and human behaviour Assess the quality of an incident report Apply the process to any type of unwanted event that should have been prevented by a management system e.g., health, safety, environment, financial, security, productivity, quality, project management etc. Combine the findings from many incidents with data from other initiatives e.g., audits and inspections, to spot trends to prioritise actions and product a single improvement plan Target Audience The course is recommended for anyone who is expected to play a role in designing, reviewing, auditing, and following your organizations OH&S management system. Successful participants will be awarded the Stitching Tripod Foundation Tripod Beta Bronze certificate. The following oil & gas company personnel will benefit from the knowledge shared in this course: CEO Team Leaders Legal, insurance and finance departments Managers (Line and Function) Maintenance Engineers Quality Assurance Engineers Process Engineers Incident Investigators (Team member & Tripod facilitator) Project Managers System Custodians Technical Authorities Key Contractor's Management Contract Managers/Holders Safety Representatives Risk Management Engineers HSE Advisors Supervisors Auditors Regulators Course Level Basic or Foundation Trainer Your expert course leader has over 30 years of experience in construction, operations and maintenance with the upstream exploration and production sector. He joined Shell International E&P in 1971 and for 28 years worked in several locations around the world. Following the Piper Alpha incident he led Shell's two year, £10M major overhaul of their permit to work system. He first made use of the Tripod Beta principles during this period and since then he has delivered over 100 Tripod Beta courses in more than 25 locations around the world. He is a Chartered Engineer, a member of the Institution of Engineering and Technology and holds a postgraduate diploma from the University of Birmingham (UK). POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

Use Cases for Business Analysis: In-House Training The use case is a method for documenting the interactions between the user of a system and the system itself. Use cases have been in the software development lexicon for over twenty years, ever since it was introduced by Ivar Jacobson in the late 1980s. They were originally intended as aids to software design in object-oriented approaches. However, the method is now used throughout the Solution Development Life Cycle from elicitation through to specifying test cases, and is even applied to software development that is not object oriented. This course identifies how business analysts can apply use cases to the processes of defining the problem domain through elicitation, analyzing the problem, defining the solution, and confirming the validity and usability of the solution. What you will Learn You'll learn how to: Apply the use case method to define the problem domain and discover the conditions that need improvement in a business process Employ use cases in the analysis of requirements and information to create a solution to the business problem Translate use cases into requirements Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Overview of use case modeling What is a use case model? The 'how and why' of use cases When to perform use case modeling Where use cases fit into the solution life cycle Use cases in the problem domain Use cases in the solution domain Use case strengths and weaknesses Use case variations Use case driven development Use case lexicon Use cases Actors and roles Associations Goals Boundaries Use cases though the life cycle Use cases in the life cycle Managing requirements with use cases The life cycle is use case driven Elicitation with Use Cases Overview of the basic mechanics and vocabulary of use cases Apply methods of use case elicitation to define the problem domain, or 'as is' process Use case diagrams Why diagram? Partitioning the domain Use case diagramming guidelines How to employ use case diagrams in elicitation Guidelines for use case elicitation sessions Eliciting the problem domain Use case descriptions Use case generic description template Alternative templates Elements Pre and post conditions Main Success Scenario The conversation Alternate paths Exception paths Writing good use case descriptions Eliciting the detailed workflow with use case descriptions Additional information about use cases Analyzing Requirements with Use Cases Use case analysis on existing requirements Confirming and validating requirements with use cases Confirming and validating information with use cases Defining the actors and use cases in a set of requirements Creating the scenarios Essential (requirements) use case Use case level of detail Use Case Analysis Techniques Generalization and Specialization When to use generalization or specialization Generalization and specialization of actors Generalization and specialization of use cases Examples Associating generalizations Subtleties and guidelines Use Case Extensions The <> association The <> association Applying the extensions Incorporating extension points into use case descriptions Why use these extensions? Extensions or separate use cases Guidelines for extensions Applying use case extensions Patterns and anomalies o Redundant actors Linking hierarchies Granularity issues Non-user interface use cases Quality considerations Use case modeling errors to avoid Evaluating use case descriptions Use case quality checklist Relationship between Use Cases and Business Requirements Creating a Requirements Specification from Use Cases Flowing the conversation into requirements Mapping to functional specifications Adding non-functional requirements Relating use cases to other artifacts Wire diagrams and user interface specifications Tying use cases to test cases and scenarios Project plans and project schedules Relationship between Use Cases and Functional Specifications System use cases Reviewing business use cases Balancing use cases Use case realizations Expanding and explaining complexity Activity diagrams State Machine diagrams Sequence diagrams Activity Diagrams Applying what we know Extension points Use case chaining Identifying decision points Use Case Good Practices The documentation trail for use cases Use case re-use Use case checklist Summary What did we learn, and how can we implement this in our work environment?