China
Africa
Explore chapters and articles related to this topic
The Application of the Systems Engineering Process to Enhance Human Performance Improvement in the Operation of Nuclear Facilities
Published in Jonathan K. Corrado, Technology, Human Performance, and Nuclear Facilities, 2023
System testing, evaluation, and validation are usually planned during the conceptual design stage and take place parallel to the definition of the overall system design requirements. The testing and evaluation endeavor consists of the testing of discrete components, of various system elements, and then of the complete system as an integrated unit. The idea is to embrace a gradual and ongoing approach that will enable continuous application and enhancement as system design and development progress. Testing and evaluation activities are associated primarily with the design activities and extend through production and construction and then to the system use and support stages. Validation, however, refers to the process needed to ensure that the system configuration as designed meets all specifications. A complete, integrated method should be established for the validation of the system and its elements as an integrated unit. System validation is complete when the system functions effectively and efficiently within its accompanying higher-level system-of-systems composition, hence meeting operational requirements [4].
Implementing The Wastewater Treatment System
Published in Joseph D. Edwards, Industrial Wastewater Treatment, 2019
Prepare a report that documents the system design. The purpose of this is to document the work done to develop or redesign the waste treatment system. The report should be complete and detailed enough so that a person familiar with waste treatment can assess whether an adequate job was done in selecting the waste treatment process chemistry and equipment. The report should contain, at minimum, a concise summary of the characteristics of the waste stream, a description of the procedure used to select the treatment process, and a description of the treatment process. The report can be used to organize your thoughts, train operators, and respond to questions from regulators. If you can provide the information outlined below, you have done a thorough job and have increased the probability that your treatment system will work.
Simulation-based costing
Published in John Vail Farr, Isaac Faber, Engineering Economics of Life Cycle Cost Analysis, 2018
Referring to Figure 5.11, the first step in the development of any system is to determine the customer's requirements. Translating the customer's needs into meaningful requirements is a huge challenge for simulations because they are often developer driven. Once a need for a simulation has been identified, stakeholder requirements must be developed. Many companies accomplish this using a formal process called “voice of the customer.” Whether or not a formal process is used, it is important to have a clear understanding of who the stakeholders are and the requirements of each before system design begins. Simple good requirements practices should be followed, including no abstract language, no statement of “how to,” and no unquantifiable requirements. Too many simulations are built without knowing the problem, the customer, and the consumer. A simple simulation is shown in Example 5.5.
Latent capabilities in support of maritime emergency response
Published in Maritime Policy & Management, 2020
Sigurd Solheim Pettersen, Jose Jorge Garcia Agis, Carl Fredrik Rehn, Bjørn Egil Asbjørnslett, Per Olaf Brett, Stein Ove Erikstad
System design is a process of mapping from a set of stakeholder needs, via the functions that contribute to meeting those needs, to a description of the physical system that will meet those functions (Suh 2001). A function is generally considered to be what a system does (de Weck, Roos, and Magee 2011). In ship design, subsystems defined by volumes and weights are assigned to functions, and then integrated and balanced within the ship hull (Erikstad and Levander 2012). The design process results in a description of the ship in the form of drawings and models dictating shipbuilding, as well as plans describing how the ship should be operated. After delivery, the vessel enters the operational phase, where it performs the functions necessary for the mission at hand. The operational phase constitutes the greatest part of the ship lifecycle, whose phases are shown in Figure 1.
Enhancing stormwater control measures using real-time control technology: a review
Published in Urban Water Journal, 2021
Wei D. Xu, Matthew J. Burns, Frédéric Cherqui, Tim D. Fletcher
System performance can be improved by system design. For example, the inclusion of a carbon-enriched saturated zone in biofilters can mitigate against the impacts of extended dry periods, providing a more stable anaerobic zone for better nutrient removal and reduced nutrient leaching after extended dry periods (Zinger et al. 2007b; Zinger, Fletcher, and Deletic 2007a; Blecken et al. 2009a). Expanding system size could also increase the retention time, but may not always be feasible in space-constrained urban areas, and may also have the effect of accentuating impacts of long dry periods on system function. The passive nature of nature-based SCMs thus intrinsically limits their ability to respond to variations in operating conditions.
Survey on reliability analysis of dynamic positioning systems
Published in Ships and Offshore Structures, 2023
Fang Wang, Liang Zhao, Yong Bai
In the future, several potential areas of focus in reliability analysis of dynamic positioning (DP) systems may include: Advanced modelling techniques: Development of more sophisticated modelling techniques, such as hybrid models that combine different approaches (e.g. physics-based and data-driven models), to improve the accuracy and predictive capabilities of reliability analysis for DP systems.Integration of real-time data: Integration of real-time data from various sources, such as sensors, control systems, and environmental conditions, to enhance the reliability analysis process. This can involve the use of advanced data analytics, machine learning, and artificial intelligence techniques to extract valuable insights and detect anomalies or early warning signs of potential failures.Cybersecurity considerations: Increasing focus on cybersecurity aspects in reliability analysis to address the growing threat of cyberattacks on DP systems. This includes analysing vulnerabilities, assessing risks, and implementing appropriate safeguards to protect against unauthorised access, data breaches, or system manipulations.Human factors analysis: Inclusion of human factors analysis in reliability assessment to better understand and mitigate the impact of human errors on DP system reliability. This can involve evaluating the influence of factors such as training, experience, workload, and communication on system performance and identifying strategies to improve human-machine interaction.Condition-based maintenance: Adoption of condition-based maintenance approaches that leverage real-time data and predictive analytics to optimise maintenance activities. This can help in identifying potential failures, planning maintenance interventions, and maximising the availability and reliability of DP systems while minimising downtime and costs.Risk-based decision-making: Incorporation of risk-based decision-making frameworks to prioritise resources and mitigation strategies based on the criticality of failure modes and their potential consequences. This can involve quantifying and comparing risks, considering factors such as safety, environmental impact, and operational constraints, to make informed decisions regarding system design, operation, and maintenance.Reliability benchmarking: Development of benchmarking standards and performance indicators specific to DP systems to enable comparative reliability analysis across different vessels or industry sectors. This can provide valuable insights, promote best practices, and drive continuous improvement in DP system reliability.