Identification and Assessment of Obsolescence in the Early Stages of System Design

Author(s):  
Sophia Salas Cordero ◽  
Marc Zolghadri ◽  
Rob Vingerhoeds ◽  
Claude Baron

Obsolescence is the fact that an entity (physical or logical) is becoming outdated or no longer possesses the required level of performance. The objectives of this article are twofold. First, it is intended to contribute to the understanding of obsolescence propagation. Secondly, two supporting approaches for the Identification and Assessment phases are proposed: the House of Obsolescence and the System Obsolescence Criticality Analysis. The former allows the mapping of obsolescence propagation via dependencies, whether imposed changes are desired or imposed, by external actors to the system architecture. Whereas, the objective of the latter is to assign an obsolescence criticality index to the identified risks in order to prioritize them for solution or mitigation determination during the analysis phase. The tools make extensive use of the modeled system knowledge through the application of Systems Engineering. The application of these approaches is presented through an illustrative study.

Author(s):  
Mara Nikolaidou ◽  
Nancy Alexopoulou

System design is an important phase of system engineering, determining system architecture to satisfy specific requirements. System design focuses on analyzing performance requirements, system modeling and prototyping, defining and optimizing system architecture, and studying system design tradeoffs and risks. Modern enterprise information systems (EIS) are distributed systems usually built on multitiered client server architectures, which can be modeled using well-known frameworks, such as Zachman enterprise architecture or open distributed processing reference model (RM-ODP). Both frameworks identify different system models, named views, corresponding to discrete stakeholder’s perspectives, specific viewpoints, and could serve as a basis for model-based system design. The main focus of this chapter is to explore the potential of model-based design for enterprise information systems (EIS). To this end, the basic requirements for model-based EIS design are identified, while three alternative approaches are discussed based on the above requirements, namely, rational unified process for systems engineering (RUP SE), UML4ODP and EIS design framework.


2014 ◽  
Vol 644-650 ◽  
pp. 5765-5768
Author(s):  
Dan Dan Wei ◽  
Le Xing Qiu

With the integration of computer technology, network technology and mobile communication technology continuously, the formation of personalized resource recommendation has become possible. Based on teachers' demand investigation and analysis, this paper analyzes the teacher system architecture, personalized resource recommendation and service safeguard mechanism.


Author(s):  
Ruirui Chen ◽  
Yusheng Liu ◽  
Yue Cao ◽  
Jing Xu

Model Based Systems Engineering (MBSE) is the mainstream methodology for the design of complex mechatronic systems. It emphasizes the application of the system architecture, which highly depends on a formalized modeling language. However, such modeling language is less researched in previous studies. This paper proposes a general modeling language for representing the system architecture, aiming for representing function, physical effect, geometric information and control behavior which the system should satisfy. It facilitates the communication of designers from different technological domains and supports a series of applications such as automatic reasoning, system simulation, etc. The language is illustrated and verified with a practical mechatronic device finally.


2013 ◽  
Vol 475-476 ◽  
pp. 1195-1200
Author(s):  
Xiao Feng Wu ◽  
Sheng Tao Luo

This paper mainly describes the process of design, modeling and implementation of college OA system. System design is based on the MVC design concept and uses the most advanced technology of UML and J2EE. And system architecture is achieved by STRUTS. Our implementation shows that this method simplifies the software development process and improves the flexibility, scalability and reusability of software.


2017 ◽  
Vol 139 (03) ◽  
pp. S9-S12
Author(s):  
Brian Connett ◽  
Bryan O’Halloran

This article presents a combination of known models and system design techniques that result in an architectural framework that is predictive. The article also provides a methodical recommendation that develops the way defense of a cyber critical infrastructure can be most effective. Firstly, historical background has been provided to motivate the current political theme, followed by modeling theory that has been published. Classical systems engineering foundations are reviewed to adapt modeling environment to the current cyber conflict problem in a way that allows a systems owner to posture most effectively against anomalies across the network of communication nodes. The implication of the model presented in the article is that a protection posture can be estimated, and can quickly turn into a balanced engagement between the attacker and defender. When optimized within decision algorithms, data will exist to illuminate what process can be implemented in defense. Using classical systems engineering fundamentals, modeling simulation, and proven mathematical approaches, this research seeks to support such implementation.


2020 ◽  
Vol 1 ◽  
pp. 2455-2464
Author(s):  
O. Bleisinger ◽  
S. Forte ◽  
C. Apostolov ◽  
M. Schmitt

AbstractDeveloping autonomous functions for complex systems leads to high demands on the consideration of dependencies to external actors in the usage phase. In Model-Based Systems Engineering (MBSE), this can be achieved by modelling operational aspects. Operational aspects are model elements and their relationships to each other. In this contribution, modelling of operational aspects with a MBSE-approach will be demonstrated exemplary on a case study related to the development of a yacht with an autonomous docking assistant. Currently modelling operational aspects is not common in the civil sector.


Author(s):  
Kazuya Oizumi ◽  
Keita Ishida ◽  
Yoshihiro Uchibori ◽  
Kazuhiro Aoyama

Abstract As a product is sold globally, usages of the product have much wider variety. Thus, a product needs to be designed considering multiple scenes. To certify that the product performs properly in any scene, industries started to apply Model Based Systems Engineering (MBSE). Whereas multi-domain system simulations are regarded as a prominent approach for the system design of a product, construction of model depends on knowledge and sense modelers. This paper proposes a modelling method to construct appropriate multi-domain system simulation models while reducing dependencies to senses of modelers. The proposed method comprises two parts. First, significant tradeoffs to be studied by the simulation are specified. Second, features of simulation models are deliberated for specified tradeoffs. To specify significant tradeoffs, product and scenes where the product is used are integrated into a model. Further, to deliberate features of simulation model, cognitive model of physical phenomena in a product is employed as well. The proposed method was applied to the development of continuously variable transmission to verify its validity.


Sign in / Sign up

Export Citation Format

Share Document