Supply Quality Management Training Course
"Supplier quality" refers to a supplier's ability to deliver goods and services to customers in a satisfactory manner. "Supplier quality management" refers to the tools and processes used to manage supplier quality.
This instructor-led, live training (online or onsite) is aimed at supply managers and personnel who wish to adopt a quality-centric approach to managing suppliers.
By the end of this training, participants will be able to:
- Adopt a proactive and collaborative approach for enhancing supplier quality.
- Clearly define and communicate supply specifications and requirements.
- Explore different Supplier Quality Management Systems (QMS) and apply an analytical approach to choose the most suitable one.
- Use a QMS system to continuously monitor, inspect and audit supply chains.
- Ensure that suppliers provide the highest quality products and services.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction
Overview of the Supplier Quality Management Cycle
Reviewing the Product Life Cycle
Reviewing the Product, Product Design, and Materials Requirements
Reviewing Operating Funds and Budgets
Selecting a Supplier
Cultural Considerations (Local and International Suppliers)
The Impact of Supplier Internal Policies, Government Regulations, Compliance, etc.
Negotiation Strategies (Price, Duration, Exclusivity, etc.)
Managing Contracts and Other Legal Matters
Managing the Supplier Relationship (Trust and Partnership)
Selecting Secondary Suppliers
The Supplier Quality Management Process
Evaluating Supplier Quality Management Systems (QMS)
Implementing and Managing a QMS
Evaluating Purchase Price and Transaction Costs
Dealing with Price Changes ("Cost Out" vs “Price Down”)
Managing Supplier Communication and Engagement
Tools and Processes for Monitoring and Evaluating Supplier Performance
Resolving Problems in Performance, Communication, etc.
Switching Suppliers
Standards and Certification
Future Trends in Supply Quality Management
Summary and Conclusion
Requirements
- Experience in Supplier Management
Audience
- Supplier Management Personnel
- Supplier Relationship Managers
- Quality Managers
- Audit Managers
- Quality Analysts
- Outsourcing Managers
- Vendor Development Managers
- ISO Compliance Managers
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
Contact us for an exact quote and to hear our latest promotions
Public Training
Please see our public courses
Need help picking the right course?
Supply Quality Management Training Course - Enquiry
Supply Quality Management - Consultancy Enquiry
Consultancy Enquiry
Provisional Upcoming Courses (Contact Us For More Information)
Related Courses
Advanced Path Planning Algorithms for Autonomous Vehicles
21 HoursThis instructor-led, live training in Malta (online or onsite) is aimed at advanced-level robotics engineers and AI researchers who wish to implement sophisticated path planning algorithms to enhance autonomous vehicle performance.
By the end of this training, participants will be able to:
- Understand the theoretical foundations of advanced path planning algorithms.
- Implement algorithms such as RRT*, A*, and D* for real-time navigation.
- Optimize path planning for obstacle avoidance and dynamic environments.
- Integrate path planning algorithms with sensor data for enhanced accuracy.
- Evaluate the performance of various algorithms in practical scenarios.
AI and Deep Learning for Autonomous Driving
21 HoursThis instructor-led, live training in Malta (online or onsite) is aimed at advanced-level data scientists, AI specialists, and automotive AI developers who wish to build, train, and optimize AI models for autonomous driving applications.
By the end of this training, participants will be able to:
- Understand the fundamentals of AI and deep learning in the context of autonomous vehicles.
- Implement computer vision techniques for real-time object detection and lane following.
- Utilize reinforcement learning for decision-making in self-driving systems.
- Integrate sensor fusion techniques for better perception and navigation.
- Build deep learning models to predict and analyze driving scenarios.
Autosar Introduction – Technology Overview
14 HoursThis instructor-led, live training in Malta (online or onsite) is aimed at mostly engneers who wish to use Autosar to design automotive components.
By the end of this training, participants will be able to:
- Install and configure Autosar.
- Set up a workflow.
- Navigate smoothly in the Autosar environment.
- Work efficiently.
AUTOSAR DEM
7 HoursIn this instructor-led, live training in Malta (online or onsite), participants will learn to configure DEM as they step through the creation and customization of a sample AUTOSTAR (AUTomotiveOpen System ARchitecture) application.
AUTOSAR Motor Controller Design Basics
7 HoursThis instructor-led, live training in Malta (online or onsite) is aimed at automotive engineers who wish to use AUTOSAR to design automotive motor controllers.
By the end of this training, participants will be able to:
- Understand AUTOSAR architecture and methodology.
- Learn how to design motor controllers using AUTOSAR.
Advanced AUTOSAR RTE Development
35 HoursThis instructor-led, live training in Malta (online or onsite) is aimed at advanced-level software developers who wish to gain deeper knowledge and understanding of AUTOSAR RTE systems, and master the skills required to develop and implement complex AUTOSAR RTE systems in their organization. It will cover advanced topics such as RTE design patterns, configuration, generation, testing, and debugging techniques, and various AUTOSAR RTE components.
By the end of this training, participants will be able to:
- Analyze RTE requirements and design efficient RTE solutions for complex automotive applications.
- Develop and integrate AUTOSAR RTE components, such as software components, communication interfaces, and service interfaces.
- Optimize RTE performance by configuring RTE parameters, implementing custom RTE extensions, and applying best practices.
- Troubleshoot common RTE issues and implement effective debugging techniques.
- Utilize advanced RTE features, such as multicore support, security mechanisms, and distributed systems.
Autonomous Vehicle Safety and Risk Assessment
21 HoursThis instructor-led, live training in Malta (online or onsite) is aimed at advanced-level safety engineers and automotive safety professionals who wish to develop comprehensive safety strategies for autonomous vehicles, including hazard analysis, functional safety assessments, and compliance with international standards.
By the end of this training, participants will be able to:
- Identify and assess safety risks associated with autonomous driving systems.
- Conduct hazard analysis and risk assessment using industry standards.
- Implement safety validation and verification methods for AV systems.
- Apply functional safety standards, such as ISO 26262 and SOTIF.
- Develop risk mitigation strategies for AV safety challenges.
Computer Vision for Autonomous Driving
21 HoursThis instructor-led, live training in Malta (online or onsite) is aimed at intermediate-level AI developers and computer vision engineers who wish to build robust vision systems for autonomous driving applications.
By the end of this training, participants will be able to:
- Understand the fundamental concepts of computer vision in autonomous vehicles.
- Implement algorithms for object detection, lane detection, and semantic segmentation.
- Integrate vision systems with other autonomous vehicle subsystems.
- Apply deep learning techniques for advanced perception tasks.
- Evaluate the performance of computer vision models in real-world scenarios.
Ethics and Legal Aspects of Autonomous Driving
14 HoursThis instructor-led, live training in Malta (online or onsite) is aimed at beginner-level professionals who wish to explore the ethical dilemmas and legal frameworks surrounding autonomous vehicles.
By the end of this training, participants will be able to:
- Understand the ethical implications of AI-driven decision-making in autonomous vehicles.
- Analyze global legal frameworks and policies regulating self-driving cars.
- Examine liability and accountability in the event of autonomous vehicle accidents.
- Evaluate the balance between innovation and public safety in autonomous driving laws.
- Discuss real-world case studies involving ethical dilemmas and legal disputes.
Introduction to Autonomous Vehicles: Concepts and Applications
14 HoursThis instructor-led, live training in Malta (online or onsite) is aimed at beginner-level professionals and enthusiasts who wish to understand the fundamental concepts, technologies, and applications of autonomous vehicles.
By the end of this training, participants will be able to:
- Understand the key components and working principles of autonomous vehicles.
- Explore the role of AI, sensors, and real-time data processing in self-driving systems.
- Analyze different levels of vehicle autonomy and their real-world applications.
- Examine the ethical, legal, and regulatory aspects of autonomous mobility.
- Gain hands-on exposure to autonomous vehicle simulations.
ISO 28000 Lead Implementer
35 HoursISO 28000 Lead Implementer training enables you to develop the necessary expertise to support an organization in establishing, implementing, managing and maintaining a Supply Chain Security Management System (SCSMS) based on ISO 28000. During this training course, you will also gain a thorough understanding of the best practices of Supply Chain Security Management Systems and be able to improve efficiency in managing potential security risks and their impacts in an organization`s supply chain.
After mastering all the necessary concepts of Supply Chain Security Management Systems, you can sit for the exam and apply for a “PECB Certified ISO 28000 Lead Implementer” credential. By holding a PECB Lead Implementer Certificate, you will demonstrate that you have the practical knowledge and professional capabilities to implement ISO 28000 in an organization.
Who should attend?
- Managers or consultants involved in Supply Chain Security Management
- Expert advisors seeking to master the implementation of a Supply Chain Security Management System
- Individuals responsible for maintaining conformance with SCSMS requirements
- SCSMS team members
Learning objectives
- Acknowledge the correlation between ISO 28000 and other standards and regulatory frameworks
- Master the concepts, approaches, methods and techniques used for the implementation and effective management of a SCSMS
- Learn how to interpret the ISO 28000 requirements in the specific context of an organization
- Learn how to support an organization to effectively plan, implement, manage, monitor and maintain a SCSMS
- Acquire the expertise to advise an organization in implementing Supply Chain Security Management System best practices
Educational approach
- This training is based on both theory and best practices used in the implementation of a SCSMS
- Lecture sessions are illustrated with examples based on case studies
- Practical exercises are based on a case study which includes role playing and discussions
- Practice tests are similar to the Certification Exam
General Information
- Certification fees are included on the exam price
- Training material containing over 450 pages of information and practical examples will be distributed
- A participation certificate of 31 CPD (Continuing Professional Development) credits will be issued
- In case of exam failure, you can retake the exam within 12 months for free
Multi-Sensor Data Fusion for Autonomous Navigation
21 HoursThis instructor-led, live training in Malta (online or onsite) is aimed at advanced-level sensor fusion specialists and AI engineers who wish to develop multi-sensor fusion algorithms and optimize real-time navigation in autonomous systems.
By the end of this training, participants will be able to:
- Understand the fundamentals and challenges of multi-sensor data fusion.
- Implement sensor fusion algorithms for real-time autonomous navigation.
- Integrate data from LiDAR, cameras, and RADAR for perception enhancement.
- Analyze and evaluate fusion system performance under various conditions.
- Develop practical solutions for sensor noise reduction and data alignment.
Introduction to AUTOSAR RTE for Automotive Software Professionals
14 HoursA two day course covering all principles related to AUTomotiveOpen System Architecture RunTime Environment, the most famous industrial standard for automotive software development; the course contains both basic topics and advanced topics which is very useful for automotive professionals
Sensor Technologies in Autonomous Vehicles
21 HoursThis instructor-led, live training in Malta (online or onsite) is aimed at intermediate-level engineers, automotive professionals, and IoT specialists who wish to understand the role of sensors in self-driving cars, covering LiDAR, radar, cameras, and sensor fusion techniques.
By the end of this training, participants will be able to:
- Understand the different types of sensors used in autonomous vehicles.
- Analyze sensor data for real-time vehicle perception and decision-making.
- Implement sensor fusion techniques to improve vehicle accuracy and safety.
- Optimize sensor placement and calibration for enhanced autonomous driving performance.
Vehicle-to-Everything (V2X) Communication for Autonomous Cars
21 HoursThis instructor-led, live training in Malta (online or onsite) is aimed at intermediate-level network engineers and automotive IoT developers who wish to understand and implement V2X communication technologies for autonomous vehicles.
By the end of this training, participants will be able to:
- Understand the fundamental concepts of V2X communication.
- Analyze V2V, V2I, V2P, and V2N communication models.
- Implement V2X protocols such as DSRC and C-V2X.
- Develop simulations for connected vehicle environments.
- Address cybersecurity and privacy challenges in V2X networks.