2023 18th Annual System of Systems Engineering Conference (SoSe)最新文献_第4页

Systems-of-Systems and Digital Twins: A Survey and Analysis of the Current Knowledge 系统的系统和数字孪生:当前知识的调查与分析

2023 18th Annual System of Systems Engineering Conference (SoSe) Pub Date : 2023-06-14 DOI: 10.1109/SoSE59841.2023.10178527

Thomas Olsson, J. Axelsson

{"title":"Systems-of-Systems and Digital Twins: A Survey and Analysis of the Current Knowledge","authors":"Thomas Olsson, J. Axelsson","doi":"10.1109/SoSE59841.2023.10178527","DOIUrl":"https://doi.org/10.1109/SoSE59841.2023.10178527","url":null,"abstract":"Understanding the needs and constraints of systems in general and a system-of-systems in particular can be challenging, yet crucial. Relying only on upfront activities will not be sufficient. Important information can be gathered around the performance and behavior of the system as well as stakeholder needs in operation. A digital twin is a way to model and understand the operation of a system. To understand the challenges and enablers related to digital twins in a system-of-systems context, we performed a literature study. In total, only 10 papers were identified that explicitly address this topic, all from the last five years, indicating that this is an active field of research. The papers revealed that definitions and terminology are unclear and that similar challenges as for systems-of-systems also exist for systems-of-digital twins. The complexity and dynamic nature of systems-of-systems motivate further study of digital twins to understand needs and constraints. However, key challenges such as concepts and principles of digital twins for systems-of-systems, cost and benefits, and evolution needs to be better understood.","PeriodicalId":181642,"journal":{"name":"2023 18th Annual System of Systems Engineering Conference (SoSe)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126653458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Using SysML Models as Digital Twins for Early Validation of Modular Systems and Systems of Systems 利用SysML模型作为数字孪生模型进行模块化系统和系统的系统的早期验证

2023 18th Annual System of Systems Engineering Conference (SoSe) Pub Date : 2023-06-14 DOI: 10.1109/SoSE59841.2023.10178526

Heinrich Wagner, Lukas Portenlänger, Claudio Zuccaro

引用次数: 0

Model-based approach to support Multi-Disciplinary Analysis and Optimization capability governance at enterprise level: preliminary results 支持企业级多学科分析和优化能力治理的基于模型的方法:初步结果

2023 18th Annual System of Systems Engineering Conference (SoSe) Pub Date : 2023-06-14 DOI: 10.1109/SoSE59841.2023.10178433

Nicolas Sarda, Rafael Estanguet, Dominique Ernadote

{"title":"Model-based approach to support Multi-Disciplinary Analysis and Optimization capability governance at enterprise level: preliminary results","authors":"Nicolas Sarda, Rafael Estanguet, Dominique Ernadote","doi":"10.1109/SoSE59841.2023.10178433","DOIUrl":"https://doi.org/10.1109/SoSE59841.2023.10178433","url":null,"abstract":"Airbus's DDMS program (Digital Design Manufacturing and Services) aims to increase the Capability Readiness Level (CRL) of various modelling simulation features, including Multi-Disciplinary Analysis and Optimization (MDAO) capabilities. Within the Airbus Defence and Space division, this is performed through a work package called TOMAS that stands for Trade-Off and Multidisciplinary Analysis Solution. The objective of the work described in this paper is to deploy an MDAO capability governance at enterprise level based on a Model-Based Systems Engineering (MBSE) approach. Preliminary results in Airbus Defence and Space context are also described. Deployment at scale of MDAO capabilities can be seen as a complex topic and as such, a rigorous method is required. Thanks to a model-based approach we tailor the capture and formalization of business concerns. This helps define what is required to support MDAO deployment in projects, meanwhile answering the following questions: when are the MDAO capabilities needed and how long do we need to sustain them?","PeriodicalId":181642,"journal":{"name":"2023 18th Annual System of Systems Engineering Conference (SoSe)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123319389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AI-based SoS performance classification for resilience reaction 基于人工智能的SoS弹性反应性能分类

2023 18th Annual System of Systems Engineering Conference (SoSe) Pub Date : 2023-06-14 DOI: 10.1109/SoSE59841.2023.10178103

Jun Jiang, Yiwen. Chen, Othman Lakhal, R. Merzouki

引用次数: 0

Sensor selection and integration for Cyber-Physical Systems in context of Digital Twins – A systematic review of requirements 数字孪生环境下网络物理系统的传感器选择和集成——需求的系统回顾

2023 18th Annual System of Systems Engineering Conference (SoSe) Pub Date : 2023-06-14 DOI: 10.1109/SoSE59841.2023.10178669

M. Fett, F. Wilking, S. Goetz, E. Kirchner, S. Wartzack

引用次数: 0

System of systems approach and user-centered design to improve the autonomy of people with reduced mobility 系统的系统方法和以用户为中心的设计，以提高行动不便的人的自主性

2023 18th Annual System of Systems Engineering Conference (SoSe) Pub Date : 2023-06-14 DOI: 10.1109/SoSE59841.2023.10178583

G. Tagne, M. Blandeau, Othman Lakhal, Eugenie Avril, L. Wallard, Steeve Mbakop, R. Merzouki

引用次数: 0

Fuzzy Linguistic Assessment Based Dilemma Evaluation in Confrontation Analysis 基于模糊语言评价的对抗分析困境评价

2023 18th Annual System of Systems Engineering Conference (SoSe) Pub Date : 2023-06-14 DOI: 10.1109/SoSE59841.2023.10178619

Zeqiang Hou, Bingfeng Ge, Yuming Huang, Wanying Wei, Zihui Liu, Jianghan Zhu

{"title":"Fuzzy Linguistic Assessment Based Dilemma Evaluation in Confrontation Analysis","authors":"Zeqiang Hou, Bingfeng Ge, Yuming Huang, Wanying Wei, Zihui Liu, Jianghan Zhu","doi":"10.1109/SoSE59841.2023.10178619","DOIUrl":"https://doi.org/10.1109/SoSE59841.2023.10178619","url":null,"abstract":"The strategic conflict is always an important means for countries and enterprises to maintain competitiveness in a complex environment, and it confronts with a large amount of cognitive information. The confrontation analysis can take the subjective cognitive information in a strategic conflict into consideration. The decision-making is subject to resource constraints, and the key problems should be solved first. However, due to the complexity of objective things and the fuzziness of human thinking, the current research is difficult to evaluate the key dilemmas in the conflict process. Therefore, we propose a method which is based on fuzzy linguistic assessment to evaluate the key dilemmas in the confrontation analysis. First, it analyzes the elements of the dilemma according to the generating criterion of dilemma. Second, it describes the clarity of the doubt and the gap between position and intention based on fuzzy language. Finally, it evaluates the existing dilemmas, so as to identify the key dilemmas and assist countries or enterprises to make decisions under resource constraints. The feasibility and applicability of this method are illustrated by a case study.","PeriodicalId":181642,"journal":{"name":"2023 18th Annual System of Systems Engineering Conference (SoSe)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121268232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Use Case for Developing Meta Architectures with Artificial Intelligence and Agent Based Simulation in the Kidney Transplant Complex System of Systems 肾移植复杂系统中基于人工智能和Agent的仿真开发元架构的用例

2023 18th Annual System of Systems Engineering Conference (SoSe) Pub Date : 2023-06-14 DOI: 10.1109/SoSE59841.2023.10178576

Richard A. Threlkeld, Lirim Ashiku, C. Dagli

{"title":"A Use Case for Developing Meta Architectures with Artificial Intelligence and Agent Based Simulation in the Kidney Transplant Complex System of Systems","authors":"Richard A. Threlkeld, Lirim Ashiku, C. Dagli","doi":"10.1109/SoSE59841.2023.10178576","DOIUrl":"https://doi.org/10.1109/SoSE59841.2023.10178576","url":null,"abstract":"The gap between the demand for kidneys and the supply of kidneys keeps growing by approximately six percent per year. There is an opportunity to utilize discarded kidneys, with roughly twenty percent of kidneys discarded each year. A real-time generation of an optimized architecture is desired to assist kidney allocation. Current practice for allocating high-risk deceased donor kidneys requires organ procurement organizations (OPOs) to engage in a prolonged manual process, accruing cold ischemic time and exacerbating kidney quality. An interactive digital simulation tool is developed to identify high-risk kidneys that are hard to place and justify starting the accelerated placement process sooner. The simulation tool will estimate the increased likelihood of placement and improve the current allocation model by providing a systematic basis for changing the current process and demonstrating how simulation can be leveraged to evaluate a policy change before implementation. The simulation meta-architecture and AI were all integrated on the Anylogic platform to conduct real-time optimization and prediction of the kidney transplant system of systems. This integrated simulation allows UNOS to generate optimized policies for the kidney transplant systems of systems. Future work includes validating and verifying the platform with additional stakeholders and testing different policies with UNOS.","PeriodicalId":181642,"journal":{"name":"2023 18th Annual System of Systems Engineering Conference (SoSe)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129577350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enterprise Architecture and EA Modelling from Systems Theory Perspective 从系统理论的角度看企业架构和EA建模

2023 18th Annual System of Systems Engineering Conference (SoSe) Pub Date : 2023-06-14 DOI: 10.1109/SoSE59841.2023.10178615

Nima Javanbakht, E. S. Chia

引用次数: 0

A New Technology Rises: Non-Human Knowledge Workers and Decision-Making in a System of Complex Systems 一种新技术的兴起:复杂系统系统中的非人类知识工作者与决策

2023 18th Annual System of Systems Engineering Conference (SoSe) Pub Date : 2023-06-14 DOI: 10.1109/SoSE59841.2023.10178624

David Mortimore, K. Aten, Raymond R. Buettner

{"title":"A New Technology Rises: Non-Human Knowledge Workers and Decision-Making in a System of Complex Systems","authors":"David Mortimore, K. Aten, Raymond R. Buettner","doi":"10.1109/SoSE59841.2023.10178624","DOIUrl":"https://doi.org/10.1109/SoSE59841.2023.10178624","url":null,"abstract":"To accomplish their missions, organizations make decisions—a form of knowledge work—that consumes scarce resources. As advanced algorithms, like artificial intelligence (AI), become more ubiquitous and affordable, some organizations are turning to such technical systems to strengthen their decision-making and, by extension, system-level performance. However, the degree to which AI and autonomous systems impact system-level performance is suboptimal because existing approaches generally ignore two critical design factors—the extent to which algorithmic systems relieve humans of knowledge work and are structurally encoded in the system's task and communication structures. The purposeful design and incorporation of non-human knowledge workers (NHKWs) into organizations are central to system of systems engineering; NHKWs are likely to impact system complexity, the attainment of stakeholder goals, and other system performance measures. Against the backdrop of the ATLAS Experiment, this perspective paper explores the construct of NHKWs, distinguishes NHKWs from AI and similar algorithmic systems, and makes the case that intentionally designing NHKWs into an organization's technological framework is needed for more robust system-level performance and goal attainment.","PeriodicalId":181642,"journal":{"name":"2023 18th Annual System of Systems Engineering Conference (SoSe)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133623146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0