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NPORS Lift Supervisor Training The aim of the NPORS Lift Supervisor Training is to Provide candidates with underpinning knowledge to allow them to understand the role and responsibility of the Lift Supervisor. As a result of the Lift Supervisor Course, and following successful completion of the NPORS Crane Supervisor training candidates will be able to understand and follow safe systems of work for lifting operations. This Lift supervisor course is for 3 days and can be completed at your site or ours. It is important that all delegates have a good understanding of spoken and written English for NPORS Crane Supervisor Training. NPORS Lift Supervisor Experienced Test Book with Confidence at Vally Plant Training At Vally Plant Training, we guarantee unbeatable value with our Lift Supervisor Experienced Test Price Match Promise. When you choose us, you can book with confidence, knowing that we will not be beaten on price. If you find a lower price for the same NPORS Lift Supervisor Experienced Worker Test, we’ll match it—ensuring you receive top-quality training at the best possible rate. Click for our terms and conditions Your skills, our commitment—always at the best price. NPORS Lift Supervisor Experienced Worker Test is for operators who have received some form of Lift Supervisor Course in the past or alternatively has been working with Lifting equipment, like cranes, Excavators or Telehandlers for a number of years. If you are unsure if you qualify to go down the Lift Supervisor experienced test route please contact our team to discuss this in more detail. Discounts are available for multiple Lift Supervisor Course bookings There are two parts to the lift supervisor test, a theory section comprised of 25 questions and a practical session, however Lift Supervisor training revision notes will be sent once the test has been booked. It is important that all delegates have a good understanding of spoken and written English for NPORS Crane Supervisor Training Crane Supervisor Course Summary: Leading Safe and Efficient Lifting Operations Introduction Ever wonder who keeps construction sites and warehouses running smoothly and safely? That’s where lift supervisors come in. They’re the unsung heroes ensuring everything moves like clockwork. And when it comes to proving you’re the best in the biz, NPORS certification is your golden ticket. It’s not just a piece of paper; it’s your passport to climbing the career ladder. Choose our Lifting Supervisor Course Today. Why Choose Our NPORS Lift Supervisor Training? What makes our training stand out with our Lifting Supervisor Course? Imagine learning from folks who’ve been in the trenches, in training grounds that feel like the real deal, and schedules that bend to your life, not the other way around. We’re not about boring lectures; we’re about getting your hands dirty. Who Should Attend Lift Supervisor Training? Are you the go-to person when things need to get done? Whether you’re starting out or looking to step up, if you’re in the world of construction or logistics, this Lifting Supervisor Course is for you. It’s tailored for those who like to keep things moving, safely and efficiently. Course Objectives: 1. Understanding Regulatory Requirements: Familiarise participants with relevant regulations and industry standards governing crane operations, LOLER. Ensure compliance with legal requirements and best practices for safe lifting operations, BS7121. 2. Roles and Responsibilities of a Crane Lift Supervisor: Define the roles and responsibilities of a Lift supervisor within the context of lifting operations. Highlight the importance of effective communication, leadership, and decision-making skills. 3. Crane Safety Procedures: Provide an overview of crane safety procedures, including pre-operational checks, equipment inspection, and maintenance. Emphasize the importance of hazard identification, risk assessment, and mitigation strategies. 4. Lifting Plan Development: Guide participants in the understanding of the lifting plans tailored to specific lifting tasks and site conditions created by the Appointed Person(AP). Address factors such as load weight, size, shape, centre of gravity, and environmental considerations. 5. Site Safety and Hazard Awareness: Enhance participants’ awareness of potential hazards in the lifting environment, such as overhead power lines, unstable ground, and confined spaces. Implement effective measures to mitigate risks and ensure a safe working environment. 6. Communication and Coordination: Stress the importance of clear and effective communication between crane operators, riggers, signallers, and other personnel involved in lifting operations. Provide guidance on establishing communication protocols, using standardized hand signals, and conducting pre-lift briefings. 7. Emergency Response and Crisis Management: Equip participants with the skills and knowledge to respond effectively to emergencies and crisis situations during lifting operations. Implement emergency procedures, evacuation protocols, and contingency plans to mitigate risks and ensure personnel safety. 8. Practical Exercises and Case Studies: Provide hands-on lift supervisor training opportunities for participants to apply theoretical knowledge in practical scenarios. Analyse real-life case studies to identify lessons learned, best practices, and areas for improvement in crane supervision. Learning Outcomes By the end, you’ll be a pro at keeping sites safe, managing lifts, and leading teams. You’ll walk away not just with knowledge, but with practical skills that meet and beat industry standards. It’s about making you the go to lift supervisor everyone wants on their team. Course Logistics Ready to jump in? We’ve got training spots across the UK, with dates and times that fit your life. Signing up is a breeze, and we’ll guide you through any paperwork or prerequisites. It’s all about making it easy for you to get started. Conclusion: A crane supervisor course aims to empower participants with the expertise and confidence to lead safe and efficient lifting operations on construction sites. By focusing on regulatory compliance, safety procedures, lifting plan development, hazard awareness, communication, and practical training, the course prepares crane supervisors to fulfil their roles effectively and ensure the well-being of all personnel involved in lifting activities. Investing in crane supervisor training is essential for promoting a culture of safety, minimising risks, and achieving excellence in crane operations management. Crane Supervisor Training Available 7 days a week to suit your business requirements. VPT have a team of friendly and approachable instructors, who importantly have a wealth of knowledge of lifting supervision and the construction industry We have our own training centre conveniently located close to the M5 junction 9, In Tewkesbury. With its own purpose-built practical training area to simulate an actual working environment for the supervisor course. Our Lift Supervisor training and test packages are priced to be competitive. Discounts are available for multiple bookings We can send a fully qualified NPORS supervisor Tester to your site nationwide, for instance to reduce the amount of time away from work More courses: Polish your abilities with our dedicated Lift Supervision Training, Slinger Signaller Training, Telehandler Training, Cat & Genny Training, Plant Loader Securer, Ride-On Road Roller, Abrasive Wheel Training, Lorry Loader Training and Scissor Lift Training sessions. Learn the safe and effective operation of these vital machines, crucial for construction and maintenance tasks. Elevate your skills and career prospects by enrolling in our comprehensive courses today. Frequently Asked Questions 1. What is Lift Supervisor Training? Lift Supervisor Training is a specialised course designed to equip individuals with the knowledge and skills required to supervise lifting operations safely and efficiently. This training typically covers topics such as planning lifts, managing lifting equipment, and ensuring compliance with safety regulations. 2. Who should attend The Lifting Supervisor Course? This training is ideal for individuals responsible for overseeing lifting operations on construction sites, in warehouses, or any environment where lifting equipment like cranes are used. It’s particularly beneficial for site supervisors, managers, and anyone involved in the planning and execution of lifting operations to attend the NPORS Lift supervisor Course. 3. What certifications are available through the Lift Supervisor Training? Participants can obtain several Lift Supervisor certifications, including: NPORS Traditional card: Valid for 5 years, widely accepted in various sectors. NPORS card with CSCS logo: Recognised by major building contractors, with an initial RED trained operator card that can be upgraded to a BLUE competent operator card after completing relevant Crane Supervisor NVQ. 4. Is a health and safety test required for the NPORS Crane Supervisor Red operator card with the CSCS logo? Yes, to qualify for this card, you must have completed the CSCS operatives health and safety test within the last two years. 5 . How long is the certification valid, and what is the renewal process? The NPORS Traditional card is valid for 5 years. The NPORS card with the CSCS logo’s RED trained operator card is valid for 2 years, after which it can be upgraded to a BLUE competent Crane Supervisor operator card upon completion of relevant NVQs. The renewal process typically involves undergoing a refresher course or assessment to ensure continued competence. For those looking for a “NPORS Crane Supervisor Training near me,” our widespread operations make it convenient for you to access Vally Plant Trainings top-quality training no matter where you are in the UK

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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)

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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)

Enhance your expertise in petroleum geomechanics with Energy Edge's advanced course. Gain practical skills and knowledge to tackle complex geomechanical challenges.

About this training course This 3-days training will provide a comprehensive review of integrity of wells exposed to carbon dioxide (CO2) in the context of Carbon Capture Utilization for enhanced oil recovery and Storage (CCUS). CO2 geological storage is a proven technology to reduce greenhouse gas emissions from sources such as coal power plants, cement kilns and steel mills. Wells are widely considered the most critical containment element, especially older wells that are not used to inject CO2 or monitor the plume evolution in the storage reservoir. The main reason for this perceived risk is the high corrosion rate of carbon steel when exposed to wet CO2, and the tendency of Portland cement to react with the gas. The training course advanced contents build on 15 years' experience in carbon storage, both in the development and deployment of technologies. First-hand, in-depth knowledge of the subject will allow us to debunk myths and focus on the real challenges of wells encountering CO2. Training Objectives After the completion of this training course, participants will be able to: Explain the CCUS market drivers Examine the behavior of CO2, on surface and in the reservoir Diagnose cement defects and design repairs Understand the limits of Portland cement Assess the benefits of different technologies and materials Realize why geology is a dominant factor in cement performance Critically choose the most appropriate monitoring techniques Classify aging processes of cement, steel, and rock when exposed to CO2 Assess the risk of existing wells if they encounter the CO2 plume Examine recent advances in real-time approaches to the production monitoring and lift management Target Audience This training course is suitable and will greatly benefit: All surface technical personnel such as process engineers & technologists Facility engineers, production engineers & technologists Drilling engineers and Well engineers Design engineers and Integrity engineers P&A engineers and Cementing engineers Geologists Senior management executives will benefit from this training as covers an overview of the technical and commercial details of CO2 capture technologies and risks involved. Course Level Intermediate Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants 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 in their own organization. Course Duration: 3 days in total (21 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Trainer Your expert course leader is an engineer with a passion for well integrity and possesses 28 years of international experience in field operations, technology development and management in the oil & gas and carbon storage sectors. Since 2018 he is program chair of the Well Integrity Technical Section of the Society of Petroleum Engineers (SPE). He is also author or co-author of 31 technical papers, a book chapter on CO2 geological storage and 7 patent applications. He delivers training on well integrity, plug and abandonment, asset integrity, risk management and QHSE across the Eastern Hemisphere, and carries out active research on harnessing geological barriers, modeling leaks through cement, and quantifying methane emissions from oil & gas wells. He has extensive expertise in: Well integrity, cementing, corrosion, upstream oil & gas (drilling, completion), carbon capture and storage, mathematical modeling, risk management, reliability, HSSE (health/safety/security/environment), asset integrity, management systems, sustainable development, project management, portfolio management, training, and technology development and innovation. He has personally worked on CCS projects in Europe (France, Germany, Netherlands, Norway), Algeria, Japan and USA. Partial list of companies that have benefited from the trainer's expertise: Vermilion Energy Geostock Aker BP Shell Statoil ENI TNO Geogreen Wintershall Archer INA and many more Recent CCS consulting track record: Schlumberger Total Oxand TNO THREE60 Energy and others 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

NPORS Marine Knuckle Boom Crane (N014)

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