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Systems Engineering and Project Management
Published in Johan Meyer, Zach Simpson, Suné von Solms, Projects as Socio-Technical Systems in Engineering Education, 2018
Schlager (1956) was amongst the first to promote the approach of SE for complex engineering systems, specifically within the fields of communications, instruments, computation and control. The International Council on System Engineering (INCOSE) (2017) defines SE as follows: Systems Engineering is an interdisciplinary approach and means to enable the realisation of successful systems. It focuses on defining customer needs and required functionality early in the development cycle, documenting requirements, then proceeding with design synthesis and system validation while considering the complete problem. Systems Engineering integrates all the disciplines and specialty groups into a team effort forming a structured development process that proceeds from concept to production to operation. Systems Engineering considers both the business and the technical needs of all customers with the goal of providing a quality product that meets the user needs.
Application of Unique Processes
Published in Lory Mitchell Wingate, Systems Engineering for Projects, 2018
Systems engineering verification is the process that confirms that every system element that is being developed, produced, purchased, and operated has process steps implemented to test and verify that the performance of that system element meets the necessary specifications, both independently of the system, and also when integrated into the system. These process steps can also be used to test for emergent behavior in the system as the capabilities from each of the independent elements are brought together. The primary activities that will provide the highest probability for successful verification of all stakeholders’ requirements are the complete capture and documentation of all allocated requirements (requirements verification and validation matrix) and their position within the system (traceability).
Integration in Systems Engineering Context
Published in Gary O. Langford, Engineering Systems Integration, 2016
No single discipline has developed the tools to engineer multidisciplinary products or services. Systems engineering is more than engineering. Systems engineering is the nexus of bringing together the variety and breadth of disciplines and fields required to accommodate the needs and priorities of objects (e.g., people, organizations, and the environment) put at risk during the product’s or service’s lifecycle. Each object put at risk has a stake in the lifecycle of the solution and are referred to as stakeholders. Stakeholders may be key stakeholders who impose requirements or are affected directly from the building, delivery, or use by the primary users. By definition, all stakeholders have needs that can be expressed as requirements. But nearly all stakeholders are undeterminable at the onset of the work, that is, the conceptualization that eventually will result in a set of requirements that will drive systems engineering and integration will themselves help expose additional stakeholders and new requirements. It is the role of the systems engineer to elicit requirements, and by doing so identify the hundreds of people, organizations, and situations that will be affected by the proposed system over the system’s lifecycle.
Systems integration theory and fundamentals
Published in Safety and Reliability, 2020
Mohammad Rajabalinejad, Leo van Dongen, Merishna Ramtahalsing
Systems engineering is an interdisciplinary approach which aims to enable the realisation of successful systems. In this approach, a system is defined as a combination of interacting elements organised to achieve one or more stated purposes (ISO/IEC/IEEE, 2015). In this view, a complete system includes all of the associated equipment, facilities, material, computer programmes, firmware, technical documentation, services and personnel required for operation and support to the degree necessary for self-sufficient use in the intended environment. In other words, system elements may be hardware, software, data, humans, processes (e.g., processes for providing services to users), procedures (e.g., operator instructions), facilities, materials and naturally occurring entities, or any combination of these elements. The systems engineering view considers humans to be part of the system, as shown in Figure 4(b).
Editorial
Published in Australian Journal of Multi-Disciplinary Engineering, 2019
Systems Engineering is an interdisciplinary, collaborative approach to system development that derives, evolves, and verifies a life-cycle balanced system solution which satisfies customer expectations and meets public acceptability. Arguably, Systems Engineering is the last stop in the evolution of engineering professions and practices. It shares noticeable common features with project management discipline as both disciplines have their foundations in systems thinking methodology. Systems Engineering initiated as a standard practice in defence and was rapidly adopted and integrated in software engineering practice. Much effort has been spent particularly in recent years on the promotion of Systems Engineering and for its adoption by different industries. This effort has been largely successful. Industries and sectors like mining, oil and gas, water resources, energy, automobile, infrastructure and transportation, telecommunication, and others are adopting Systems Engineering as a common practice in their organisations.
The challenges for artificial intelligence and systems engineering
Published in Australian Journal of Multi-Disciplinary Engineering, 2022
Jake Vanderlinde, Kevin Robinson, Benjamin Mashford
The utilisation of AI-enabled systems offers huge potential to improve both the performance and the efficiency of systems across a variety of industries. However, AI poses challenges to traditional System Engineering approaches that need to be addressed before system users can have high confidence in these AI-enabled systems. One goal of Systems Engineering is to ensure that the user can rely upon a system to deliver its intended behaviour and level of performance. That is, the system’s behaviour is validated through a set of activities that check its compliance against the set of system requirements and user needs. The utilisation of AI-enabled systems creates challenges to these activities that are not adequately addressed by traditional Systems Engineering approaches.