Despite the advantages of electronic flight bags (EFB), passenger entertainment and email access during flights, and the ability to access aircraft repair manuals electronically, computer interconnectivity throughout aviation has opened the aviation sector to cyber-attacks that could impact flights, data, and safety. This two-day seminar is intended to introduce aviation professionals to the need to implement cyber security throughout commercial aviation including the supply chain.
Production and continual improvement of safe and reliable products is key in the aviation, space and defense industries. Customer and regulatory requirements must not only be met, but they are typically expected to exceeded requirements. Due to globalization, the supply chain of this industry has been expanded to countries which were not part of it in the past and has complicated the achievement of requirements compliance and customer satisfaction. The IAQG has established and deployed the AS9145 Standard, as a step to help achieve these objectives.
AS13000 defines the Problem-Solving standard for suppliers within the aero-engine sector, with the Eight Disciplines (8D) problem solving method the basis for this standard. This two-day course provides attendees with a comprehensive and standardized set of tools to become an 8D practitioner and meets all the requirements of the training syllabus in AS13000. Successful application of 8D achieves robust corrective and preventive actions to reduce the risk of repeat occurrences and minimize the cost of poor quality.
AS 13003:2015 stipulates requirements to establish an acceptable measurement system (for variable and attribute features) for use on aerospace engines parts and assemblies. Measurement Systems Analysis (MSA) is used to evaluate and improve measurement systems in the workplace because it evaluates the test method, measuring instruments, and the process of acquiring measurements. The Aerospace Engine Supplier Quality (AESQ) Strategy Group published AS13003 to define the minimum requirements for conducting MSA for variable attribute assessment on characteristics as defined on the drawing specification.
Most complex systems are moving toward a “smart” solution, with automated methods for identifying and diagnosing problems. This course will explore how efficient systems can be designed in an effective manner to ensure that they meet performance requirements. Because predictive maintenance is important to the aerospace industry, this course will address systems engineering (SE) and review prognostic health management (PHM) and explain how you can utilize them to obtain a better system. Additionally, it will address requirements management; model-based design; and verification and validation