Systems Engineering最新文献_第2页

A taxonomy of metrics for human representations in digital engineering 数字工程中人类表征的度量分类

3区工程技术

Systems Engineering Pub Date : 2023-09-23 DOI: 10.1002/sys.21722

Michael E. Miller, Emily Spatz

{"title":"A taxonomy of metrics for human representations in digital engineering","authors":"Michael E. Miller, Emily Spatz","doi":"10.1002/sys.21722","DOIUrl":"https://doi.org/10.1002/sys.21722","url":null,"abstract":"Abstract As humans play a significant role in maintaining, supporting, and operating systems, it is important to include humans in digital engineering models to ensure that the sociotechnical system is capable of meeting stakeholder requirements. The current research proposes a taxonomy of metrics and taxonomic nomenclature useful for representing humans in systems engineering and integration. This taxonomy is intended to provide a structure for considering metrics in frameworks such as the Objectives and Metrics portion of the human view architecture, as well as in trade studies which may be represented in MBSE models. The proposed taxonomy categorizes human‐centered metrics into four categories, including those affecting system performance, system readiness, interface fitness, and occupational health and safety. It is further recognized that many of these metrics can be affected by the mental or physical state of the human, which are commonly captured in human factors metrics, such as workload or situation awareness. It is proposed that this taxonomy can guide the selection of human‐centered metrics which affect the system's ability to meet system stakeholder requirements.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135965997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Systems engineering and water resources management: A closer relationship is needed 系统工程和水资源管理:需要更密切的关系

3区工程技术

Systems Engineering Pub Date : 2023-09-22 DOI: 10.1002/sys.21725

Neil S. Grigg

{"title":"Systems engineering and water resources management: A closer relationship is needed","authors":"Neil S. Grigg","doi":"10.1002/sys.21725","DOIUrl":"https://doi.org/10.1002/sys.21725","url":null,"abstract":"Abstract Systems engineering can be applied in a broad spectrum of sectors, but only its analysis tool has been applied in the field of water resources management. Because systems engineering has a separate community of practice from water resources, there is little crosstalk between the two fields. As a result, the systems engineering functions that support planning, design, production, procurement, and customer support are not being applied to water systems. Meanwhile, water systems exhibit complexities that have generated a separate field named Integrated Water Resources Management that continues to confuse its followers after several decades. Its methods are applied to a broad spectrum of water issues that affect multiple stakeholders with conflicting interests and involve distinct subsystems, such as water supply or hydropower, as well as combinations of them. Use of systems analysis for such water issues began six decades ago, but it is still a work in progress. Evolving methods of systems engineering offer new possibilities to address problems of water resources management, but they must extend beyond systems analysis, which belongs to multiple disciplines. Examples show possibilities to apply systems engineering methods when water issues exhibit attributes of engineered systems and do not involve social and environmental complexities that cannot be included in system boundaries. Collaboration among systems engineering and water resources management would offer a fertile test bed to advance both fields.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136061801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A methodology for parameter estimation in system dynamics models using artificial intelligence 基于人工智能的系统动力学模型参数估计方法

3区工程技术

Systems Engineering Pub Date : 2023-09-16 DOI: 10.1002/sys.21718

Jyotirmay Gadewadikar, Jeremy Marshall

{"title":"A methodology for parameter estimation in system dynamics models using artificial intelligence","authors":"Jyotirmay Gadewadikar, Jeremy Marshall","doi":"10.1002/sys.21718","DOIUrl":"https://doi.org/10.1002/sys.21718","url":null,"abstract":"Abstract Multiple tools exist for separately simulating and estimating the parameters of system dynamics models. Artificial intelligence (AI) has been increasingly used to estimate the parameters of system dynamics models. The development of modeling tools and advanced environments has resulted in great benefits to the community at large. The incorporation of AI tools into system dynamics presents opportunities for expanding on current decision‐making methods. As systems become complex, the need to incorporate evidence‐based data‐driven methods increases. By integrating system dynamics tools and facilitating AI and system dynamics simulation in an integrated environment, model parameters can be estimated with the latest data, and the integrity of the model can be retained effectively. This provides an advantage to the efficiency and capabilities of the system dynamics model and its analysis. This paper presents a general methodology to incorporate regression AI into system dynamics models for simulation and analysis. To demonstrate the validity of the methodology, a case study involving a susceptible‐infected‐recovered model and empirical data from the COVID‐19 pandemic is performed using support vector machines (SVMs), artificial neural networks (ANNs), and random forests.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135306525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Defense program quality‐cost‐delay optimization: architecture framework, a bridge between program management and system engineering 国防项目质量-成本-延迟优化:架构框架，项目管理和系统工程之间的桥梁

IF 2 3区工程技术

Systems Engineering Pub Date : 2023-09-05 DOI: 10.1002/sys.21720

Lorraine Brisacier‐Porchon, Omar Hammami

{"title":"Defense program quality‐cost‐delay optimization: architecture framework, a bridge between program management and system engineering","authors":"Lorraine Brisacier‐Porchon, Omar Hammami","doi":"10.1002/sys.21720","DOIUrl":"https://doi.org/10.1002/sys.21720","url":null,"abstract":"Military program management and system engineering re quire the expression of costs and delay trade‐off with respect to system architecture. If architecture frameworks (AF) such as NATO (NAF) were designed to fill this common need, their current state is essentially descriptive. As it turns out, building defense systems architectures using those frameworks in a properly anticipated cost/delay budget envelope would require to have all system engineering already solved, because the architecture frameworks are designed to provide an explicit representation of the operational domain that can be used in analysis, for articulation of issues and requirements, as support to planning, and as a means of solution design and validation, among other things. Thus Quality‐Resource‐Time optimality in a regularly evolving environment cannot be represented in acceptable delay without automated optimization assistance. Our contribution in this article explores coupling architecture framework with operation research (OR) models to enable computer assisted design and evaluation of heterogeneous views in NATO Architecture Framework (NAF). Our illustrative example is a Linear Programming based bridge between program management and system engineering to anticipate optimal trade‐offs. This article presents promising results, with which we hope to show how OR and AF will be indivisible in architecture evaluation process.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49256511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Team and communication impacts of remote work for complex aerospace system development 远程工作对复杂航空航天系统开发的团队和通信影响

IF 2 3区工程技术

Systems Engineering Pub Date : 2023-08-26 DOI: 10.1002/sys.21716

Sharon A. Ferguson, Eric van Velzen, A. Olechowski

{"title":"Team and communication impacts of remote work for complex aerospace system development","authors":"Sharon A. Ferguson, Eric van Velzen, A. Olechowski","doi":"10.1002/sys.21716","DOIUrl":"https://doi.org/10.1002/sys.21716","url":null,"abstract":"Remote work is becoming increasingly common, a trend accelerated by the global COVID‐19 pandemic. Existing remote work research fails to address the challenges and needs of engineers working remotely in Complex Aerospace System Development (CASD), the field responsible for creating and operating aerospace systems. This article presents an exploratory study to understand the challenges, benefits, and strategies when working remotely in CASD. We interviewed 12 CASD engineers working remotely at a major aerospace corporation. We ground our findings in six characteristics of CASD work (complex systems; design paths and feedback loops; relationships with suppliers, customers and regulators; distinct knowledge and skills; one‐off innovation; and high cost of experimentation) and discuss how each of these characteristics challenges remote work. The findings show that CASD requires many teams to work together, and this is encouraged through informal communication, which almost disappears in a remote setting. CASD requires frequent feedback, and we found that feedback was slow when working remotely. Participants found it challenging to demonstrate systems to customers and verify drawings with suppliers, and the interpersonal relationships, which help to bridge disciplinary divides, were harder to maintain remotely. The one‐off nature of the systems designed meant that conceptual work was important, but participants lacked the virtual tools to do this effectively. Lastly, testing hardware components required close virtual communication between technicians and engineers, which was tricky in a detail‐oriented context. This study motivates areas for future work to better understand and address the nuances of remote work by engineers in CASD.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44238788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MBSE adoption experiences in organizations: Lessons learned 组织采用MBSE的经验教训

IF 2 3区工程技术

Systems Engineering Pub Date : 2023-08-23 DOI: 10.1002/sys.21717

Kaitlin Henderson, Thomas A. McDermott, A. Salado

引用次数: 0

Minimising conflicts among run‐time non‐functional requirements within DevOps 最小化DevOps中运行时非功能需求之间的冲突

IF 2 3区工程技术

Systems Engineering Pub Date : 2023-08-16 DOI: 10.1002/sys.21715

Souvick Das, Novarun Deb, N. Chaki, Agostino Cortesi

引用次数: 0

Joint Offering Evaluation Framework for Assessing the Feasibility and Business Value of a Digital Twin Use Case 评估数字孪生用例可行性和商业价值的联合发行评估框架

IF 2 3区工程技术

Systems Engineering Pub Date : 2023-08-11 DOI: 10.1002/sys.21713

Leila Saari, M. Räikkönen, E. Hytönen, Katri Valkokari

{"title":"Joint Offering Evaluation Framework for Assessing the Feasibility and Business Value of a Digital Twin Use Case","authors":"Leila Saari, M. Räikkönen, E. Hytönen, Katri Valkokari","doi":"10.1002/sys.21713","DOIUrl":"https://doi.org/10.1002/sys.21713","url":null,"abstract":"The complexity of industrial challenges is emerging together with the exponentially developing information and communication technologies (ICT) that provide several implementation approaches for systems engineering. It is difficult for a single company to follow technological development and remain a pioneer in every topic. Still, the industrial challenges require experts in each technology. Therefore, collaboration among technology providers is an opportunity to gather all resources and competences needed for full delivery. A joint offering (JO) is a solution, that is, co‐created in collaboration between two or more actors that usually have complementary technological skills or value‐creation logics. A JO has several doubts relating to the use case (UC) in hand, the feasibility of the joint solution to be co‐created, the resources and skills needed to deliver the joint solution, the partners, the business value creation, the elements of the contract and the ownership of the outcome, just to mention a few. The Joint Offering Evaluation Framework (JOEF) uncovers these issues and supports decision‐making before the development of a JO starts. The JOEF comprises the Joint Offering Playbook and the Business Value Toolset (BVT). The Playbook offers seven viewpoints with checklists and tools for IT solution providers considering collaboration and co‐creation for a solution that they cannot deliver or sell alone. The BVT evaluates and illustrates the business value of a JO from the viewpoints of both creation and delivery, together with value capture and assessment. The JOEF was piloted with a digital twin (DT) UC from the pulp and paper industry.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47271299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Measuring the digital transformation maturity level independently with the design science research methodology 运用设计科学研究方法独立测量数字化转型成熟度水平

IF 2 3区工程技术

Systems Engineering Pub Date : 2023-08-09 DOI: 10.1002/sys.21714

T. Haryanti, Nur Aini Rakhmawati, A. P. Subriadi

引用次数: 0

Lessons learned from establishing the Systems Engineering Research Center, a networked University Affiliated Research Center 建立系统工程研究中心的经验教训，这是一个网络化的大学附属研究中心

IF 2 3区工程技术

Systems Engineering Pub Date : 2023-07-29 DOI: 10.1002/sys.21712

Scott D. Lucero, A. Pyster, Kristen J. Baldwin, D. DeLaurentis, J. Wade, T. McDermott, D. Verma

引用次数: 0