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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 Q2 Computer Science Pub Date : 2023-08-11 DOI: 10.1002/sys.21713
Leila Saari, M. Räikkönen, E. Hytönen, Katri Valkokari
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.
工业挑战的复杂性与指数级发展的信息和通信技术(ICT)一起出现,为系统工程提供了几种实现方法。一家公司很难跟上技术发展并在每个领域保持领先地位。然而,工业挑战需要每项技术的专家。因此,技术供应商之间的合作是一个收集全面交付所需的所有资源和能力的机会。联合产品(JO)是一种解决方案,即两个或多个参与者之间的合作,通常具有互补的技术技能或价值创造逻辑。一个JO有几个疑问,这些疑问与手头的用例(UC)、共同创建的联合解决方案的可行性、交付联合解决方案所需的资源和技能、合作伙伴、业务价值创造、合同元素和结果的所有权等有关,仅举几例。联合报价评估框架(JOEF)揭示了这些问题,并在JO开发开始之前为决策提供支持。JOEF包括联合提供手册和业务价值工具集(BVT)。Playbook为IT解决方案提供商提供了7种观点,包括清单和工具,这些解决方案提供商考虑协作和共同创造解决方案,而他们无法单独交付或销售。BVT从创建和交付的角度评估和说明JO的业务价值,以及价值获取和评估。JOEF与纸浆和造纸行业的数字孪生(DT) UC进行了试点。
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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 Q2 Computer Science Pub Date : 2023-08-09 DOI: 10.1002/sys.21714
T. Haryanti, Nur Aini Rakhmawati, A. P. Subriadi
This study uses the Design Science Research Methodology (DSRM) approach in creating an artifact on the perspective of the Information System. Design Science as a valuable tool for creating a new artifact or developing an existing artifact through research. The DSRM Framework described in this study discusses the implementation of each stage, namely, Explicated Problem, Define Requirement, Design and Development, Demonstration, and Evaluation and is complemented by the implementation of case studies of artifact creation in DSRM stages. The Digital Maturity Measurement in question is a service to measure digital maturity in various dimensions. Each DSRM stage is mapped to a case study of that service.Canvas visualization is presented to describe a complete picture of how the artifacts of Digital maturity services are built with the DSRM approach. This research also provides guidance on the principles, procedures, and characteristics needed to build effective research.
本研究使用设计科学研究方法论(DSRM)方法,从信息系统的角度创建工件。设计科学是一种有价值的工具,可以通过研究创造新的工件或开发现有工件。本研究中描述的DSRM框架讨论了每个阶段的实施,即解释问题、定义需求、设计和开发、演示和评估,并通过DSRM阶段工件创建的案例研究进行了补充。有问题的数字成熟度衡量是一项从各个维度衡量数字成熟度的服务。每个DSRM阶段都映射到该服务的案例研究。Canvas可视化描述了如何使用DSRM方法构建数字成熟度服务的工件的全貌。这项研究还为建立有效研究所需的原则、程序和特征提供了指导。
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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 Q2 Computer Science 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
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引用次数: 0
Statistical modeling to relate technology readiness to schedule 统计建模,将技术准备情况与进度联系起来
IF 2 3区 工程技术 Q2 Computer Science Pub Date : 2023-07-26 DOI: 10.1002/sys.21711
C. Robert Kenley, Shrividya Subramanian, Katherine M. Adams
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引用次数: 0
Cyber oriented digital engineering 面向网络的数字工程
IF 2 3区 工程技术 Q2 Computer Science Pub Date : 2023-07-11 DOI: 10.1002/sys.21710
J. Mitola, Mark Prys
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引用次数: 0
Interpreting integrability 解释可积性
IF 2 3区 工程技术 Q2 Computer Science Pub Date : 2023-07-05 DOI: 10.1002/sys.21709
A. Salado
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引用次数: 0
Optimal verification strategy for general development plans using a belief‐based approach 使用基于信念的方法对总体开发计划进行最优验证策略
IF 2 3区 工程技术 Q2 Computer Science Pub Date : 2023-07-02 DOI: 10.1002/sys.21708
Aditya U. Kulkarni, Ashley Girod, Peng Xu, A. Salado
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引用次数: 0
Simulating a sterilization processing department to evaluate block schedules and tray configurations 模拟灭菌处理部门以评估块时间表和托盘配置
IF 2 3区 工程技术 Q2 Computer Science Pub Date : 2023-06-27 DOI: 10.1002/sys.21707
Sean Harris, Valentina Nino, David Claudio
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引用次数: 0
Model‐based architecting evaluation method for the delivery of complex nuclear projects 基于模型的复杂核项目交付体系结构评估方法
IF 2 3区 工程技术 Q2 Computer Science Pub Date : 2023-06-21 DOI: 10.1002/sys.21705
J. Bourdon, P. Couturier, V. Chapurlat, R. Plana, V. Richet, B. Baudouin
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引用次数: 1
Model‐based risk analysis for system design 基于模型的系统设计风险分析
IF 2 3区 工程技术 Q2 Computer Science Pub Date : 2023-06-16 DOI: 10.1002/sys.21704
J. Mendes
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引用次数: 0
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