This course is designed to provide operatives with thorough theory and practical training in the role of the piling rig attendant.
Introducing Therapy for Trauma Package: Empowering Healing and Renewed Strength Have you experienced a traumatic event that continues to affect your life, leaving you with emotional wounds and distressing memories? Miss Date Doctor’s Therapy for Trauma Package offers you compassionate and specialized support to navigate the healing journey, fostering resilience, and reclaiming your life. Trauma can have a profound impact on your mental and emotional well-being, often leading to feelings of fear, anxiety, and helplessness. Our experienced therapists are dedicated to providing a safe and supportive space for you to process your trauma, empowering you to find strength and renewal in the face of adversity. Here’s how the Therapy for Trauma Package can support you: Safe and Non-Judgmental Environment: We offer a safe and non-judgmental space where you can share your trauma experiences without fear. Trauma-Informed Approach: Our therapists are trained in trauma-informed care, recognizing the unique needs and sensitivities of trauma survivors. Processing Traumatic Memories: Therapy will focus on helping you process and integrate traumatic memories in a healthy and manageable way. Emotional Regulation: We’ll work on emotional regulation techniques to help you cope with intense emotions related to trauma. Creating Coping Strategies: Therapy for trauma equips you with coping strategies to manage triggers and promote emotional well-being. Rebuilding Trust and Safety: If applicable, we’ll address issues of trust and safety, helping you feel more secure in your environment. Supportive Healing: Our therapists will guide you towards healing and recovery at a pace that feels comfortable for you. Post-Traumatic Growth: We’ll focus on fostering post-traumatic growth, empowering you to find strength and meaning from your experiences. The Therapy for Trauma Package at Miss Date Doctor is designed to support your healing journey and empower you to overcome the impact of trauma. Our compassionate therapists are committed to walking alongside you on this path of renewal and resilience. Invest in your emotional well-being and take the first step towards healing with the Therapy for Trauma Package. Embrace the opportunity to process your trauma, find renewed strength, and reclaim your life after adversity. Let our experienced therapists guide you towards emotional healing, growth, and a brighter future beyond trauma. 5 X 1 hour sessions https://relationshipsmdd.com/product/therapy-for-trauma-package/
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)
Lean Six Sigma Black Belt Certification Program 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)
Level 2 NVQ Diploma in Plant Operations - Transporting Loads
Level 2 NVQ Certificate in Plant Operations - Transporting Loads
This course is suitable for operatives required to Work at Height, providing a sound foundation on the requirements of the Work at Height Regulations 2005 in conjunction with a basic understanding of the types of fall protection systems and equipment available, its use, its limitations and unsafe practices. Suitable for individuals working around but not directly Working at Height. It allows the delegate to identify a working at height area and understand the procedures and regulations that control it. Book via our website @ ESS | Working at Height Module 1 - Safe Work at Height Awareness | Vp ESS (vp-ess.com) or via email at: esstrainingsales@vpplc.com or phone on: 0800 000 346
This verification of expected death training is suitable for nurses who are interested in taking on the extended role of verification of expected death within various healthcare settings.
About this Virtual Instructor Led Training (VILT) This 5 half-day course provides a detailed description of all performance testing methods for all thermal power plant equipment including boilers, turbines, condensers, pumps, fans, deaerators, and feedwater heaters. The methodology, and code requirements for the performance tests for all thermal power plant equipment will be explained in detail. The preparatory work and instrumentation required for each test will also be covered during the course. The efficiency calculations for all equipment used in circulating fluidized bed (CFB) boiler and pulverized coal boiler power plants will be explained, including all processes, operational and maintenance activities, capital projects, technical options, potential initiatives and incentives to implement upgrades / repairs for increasing the power plant equipment efficiency. The course will also provide a thorough explanation of CFB and pulverized coal boiler technology including hydrodynamics, combustion, emissions, design considerations, gas-solid separators, design of CFB and pulverized coal boiler components, management of solid residues, materials, stoichiometric calculations, and model for sulfur capture. The operation, maintenance, testing, and refurbishment options of all the equipment and systems used in CFB and pulverized coal power plants will be presented, including boilers, superheaters, reheaters, turbines, condensers, feedwater heaters, deaerators, pumps, compressors, fans, electric generators, instrumentation and control systems, and governing systems, etc. The participants will get equipped on all factors which affect the CFB and pulverized coal boiler power plant efficiency and emissions, all methods used to calculate the heat rate of CFB and pulverized coal power plants as well as all areas in CFB and pulverized coal boiler power plants where efficiency loss can occur. Updated information on the methods used to improve CFB boiler and pulverized coal boiler power plant heat rate will also be provided. It includes: Optimizing the combustion process and sootblowing Controlling the steam temperature Recovering moisture from boiler flue gas Performing steam turbine maintenance Lowering condenser back pressure Pre-drying high moisture coal and reducing stack temperature Training Objectives Thermal Plant Performance Testing: Gain a thorough understanding of all the performance testing methods for all thermal power plant equipment including boilers, turbines, condensers, pumps, fans, daerators, and feedwater heaters Performance Test Methodology and Code Requirements: Understand the methodology, and code requirements for performance tests of all thermal power plant equipment Performance Test Preparatory Work and Instrumentation: Learn about the preparatory work and instrumentation required for each equipment performance test in a thermal power plant Equipment Efficiency Calculations: Gain a thorough understanding of the efficiency calculations for all the equipment used in circulating fluidized bed (CFB) boilers and pulverized coal boilers power plants Calculating the Heat Rate of CFB and Pulverized Coal Boiler Power Plants: Learn all the methods used to calculate the heat rate of CFB and pulverized coal boiler coal power plants Benefits of Lowering the Heat Rate of CFB and Pulverized Coal Boiler Power Plants: Understand all the benefits of lowering the heat rate of CFB coal power plants Methods Used to Improve CFB and Pulverized Coal Boiler Power Plants Heat Rate: Gain a thorough understanding of all the methods used to improve the heat rate of CFB and pulverized boiler coal power plants Processes, Operational and Maintenance Activities in CFB and Pulverized Coal Boiler Power Plants: Discover all the processes, operational and maintenance activities used to improve the heat rate of CFB and pulverized coal power plants Capital Projects Used to Improve the Heat Rate of CFB and Pulverized Coal Boiler Power Plants: Learn about all the capital projects used to improve the heat rate of CFB and pulverized coal power plants Technical Options for Improving the Heat Rate of CFB and Pulverized Coal Boiler Power Plants: Understand all the technical options used to improve the heat rate of CFB and pulverized coal boiler power plants Potential Initiatives and Incentives to Implement Upgrades / Repairs for Improving the Heat Rate of CFB and Pulverized Coal Bed Boiler Power Plants: Discover all the potential initiatives and incentives to implement upgrades / repairs for improving the heat rate of CFB and pulverized coal power plants Factors Affecting CFB and Pulverized Coal Boiler Power Plants Efficiency and Emissions: Learn about all the factors which affect CFB and pulverized coal boiler power plants efficiency and emissions Areas in CFB and Pulverized Coal Power Plants where Efficiency Loss Can Occur: Discover all the areas in CFB and pulverized coal power plants where efficiency loss can occur Optimize the Operation of CFB and Pulverized Coal Power Plant Equipment and Systems to Improve the Plant Heat Rate: Understand all the techniques and methods used to optimize the operation of CFB and pulverized coal power plant equipment and systems to improve the plant heat rate CFB and Pulverized Coal Power Plant Equipment and Systems: Learn about the various types of CFB and pulverized coal power plant equipment and systems including boilers, superheater, reheaters, steam turbines, governing systems, deaerators, feedwater heaters, coal-handling equipment, transformers, generators and auxiliaries Target Audience Engineers of all disciplines Managers Technicians Maintenance personnel Other technical individuals Training Methods The VILT will be delivered online in 5 sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day, including time for lectures, discussion, quizzes and short classroom exercises. Additionally, some self-study will be requested. Participants are invited but not obliged to bring a short presentation (10 mins max) on a practical problem they encountered in their work. This will then be explained and discussed during the VILT. A short test or quiz will be held at the end the course. The instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all the delegates gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught to their own organization. Trainer Your specialist course leader relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught to their own organization. Each delegate will receive a soft copy of the following materials written by the instructor: 'POWER GENERATION HANDBOOK' second edition published by McGraw-Hill in 2012 (800 pages) Excerpt of the relevant chapters from the 'POWER PLANT EQUIPMENT OPERATION AND MAINTENANCE GUIDE' published by McGraw-Hill in 2012 (800 pages) THERMAL POWER PLANT PERFORMANCE TESTING MANUAL (includes practical information about all the performance testing methods for all thermal power plant equipment - 400 pages) 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