scholarly journals A Comprehensive Commercialization Framework for Nanocomposites Utilizing a Model-Based Systems Engineering Approach

Systems ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 84
Author(s):  
Sebastian Kirmse ◽  
Robert J. Cloutier ◽  
Kuang-Ting Hsiao
Keyword(s):  
Systems Engineering ◽  
Engineering Analysis ◽  
Case Study Approach ◽  
Time To Market ◽  
Study Approach ◽  
Model Based ◽  
Development Costs ◽  
Capital Funding ◽  
Model Based Systems Engineering

Nanocomposites provide outstanding benefits and possibilities compared to traditional composites but struggle to make it into the market due to the complexity and large number of associated challenges involved in, as well as lack of standards for, nanocomposite commercialization. This article proposes a commercialization framework utilizing market analysis and systems engineering to support the commercialization process of such high technologies. The article demonstrates the importance and usefulness of utilizing Model-Based Systems Engineering throughout the commercialization process of nanocomposite technologies when combining it with the Lean LaunchPad approach and an engineering analysis. The framework was validated using a qualitative research method with a case study approach. Applying this framework to a nanocomposite, called ZT-CFRP technology, showed tremendous impacts on the commercialization process, such as reduced market and technological uncertainties, which limits the commercialization risk and increases the chance for capital funding. Furthermore, utilizing the framework helped to decrease the commercialization time and cost due to the use of a lean engineering analysis. This framework is intended to assist advanced material-based companies, material scientists, researchers and entrepreneurs in academia and the industry during the commercialization process by minimizing uncertainties and risks, while focusing resources to reduce time-to-market and development costs.

scholarly journals Microgrid System Design Based on Model Based Systems Engineering: the Case Study in the Amazon Region

2021 ◽  
Author(s):  
Miguel Angel Orellana Postigo ◽  
José Reinaldo Silva
Keyword(s):  
Systems Engineering ◽  
Amazon Forest ◽  
Small Communities ◽  
Model Based ◽  
Network Operation ◽  
Engineering Effort ◽  
Definition Of ◽  
And Control ◽  
Model Based Systems Engineering

Microgrid is a technically and economically viable opportunity to meet the demands of populations that, for various reasons, do not have access to electricity. The complexity of Smart Grid (SG) systems requires considerable engineering effort in the design process. Designing this type of complex system requires new approaches, methods, concepts and engineering tools. Where, requirements analysis plays a major role in better characterizing, understanding and specifying the domain of application that SG systems should solve. This work presents a systemic proposal based specifically on System Systems (SoS) which anticipates the formalization of requirements, aiming to understand, analyze and design SG within the scope of Model Based Systems Engineering (MBSE). The definition of a microgrid from the SoS perspective is presented in order to provide a complete view of its life cycle. Requirements would be represented in an Objective Oriented  Requirements Engineering (GORE) approach, specifically using visual diagrams based on the Keep All  Objectives Satisfied (KAOS) method, where network operation and control will be formally represented. A case  study for small communities in the equatorial Amazon forest is used as a case study for the proposed method.

Implementing a Knowledge Management-Based Model for Lessons Learned

2020 ◽  
pp. 196-219
Author(s):  
Moria Levy ◽  
Rinat Salem
Keyword(s):  
Knowledge Management ◽  
Community Services ◽  
Lessons Learned ◽  
Case Study Approach ◽  
Study Approach ◽  
Model Based ◽  
Organizational Work ◽  
Key Features ◽  
Active Processes

Lesson learning is a well-known and crucial organizational tool that serves many organizations wishing to improve their performance. This chapter describes a knowledge management (KM)-based model, improving the level of learning and of the lessons learned with the goal of reducing repeated mistakes as well as recreating their successes. The key features of the model were the base of a research conducted using a case study approach implemented at the Welfare Division of the Jerusalem Municipality's Community Services Administration. The implemented model, based on KM ideas, added two significant stages to the process of debriefing—refining the lessons learned and transforming them into lessons that are managed in an independent database—as well as an additional stage, which was comprised of active processes of integrating the lessons into the organizational work.

scholarly journals APPLYING MODEL-BASED SYSTEMS ENGINEERING TO THE DEVELOPMENT OF AUTONOMOUS VESSEL FUNCTIONS

2020 ◽  
Vol 1 ◽  
pp. 2455-2464
Author(s):  
O. Bleisinger ◽  
S. Forte ◽  
C. Apostolov ◽  
M. Schmitt
Keyword(s):  
Complex Systems ◽  
Systems Engineering ◽  
Usage Phase ◽  
Model Based ◽  
Civil Sector ◽  
External Actors ◽  
Model Based Systems Engineering ◽  
Autonomous Vessel ◽  
Operational Aspects

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.

scholarly journals Model-Based Systems Engineering Approach with SysML for an Automatic Flight Control System

2021 ◽  
Author(s):  
Haluk Altay ◽  
M. Furkan Solmazgül
Keyword(s):  
Control System ◽  
Complex Systems ◽  
Systems Engineering ◽  
Flight Control ◽  
Flight Control System ◽  
Engineering Approach ◽  
Model Based ◽  
Multidisciplinary Study ◽  
Model Based Systems Engineering

Systems engineering is the most important branch of engineering in interdisciplinary study. Successfully performing a multidisciplinary complex system is one of the most challenging tasks of systems engineering. Multidisciplinary study brings problems such as defining complex systems, ensuring communication between stakeholders, and common language among different design teams. In solving such problems, traditional systems engineering approach cannot provide an efficient solution. In this paper, a model-based systems engineering approach is applied with a case study and the approach is found to be more efficient. In the case study, the design of the helicopter automatic flight control system was realized by applying model-based design processes with integration of tools. Requirement management, system architecture management and model-based systems engineering processes are explained and applied of the case study. Finally, model-based systems engineering approach is proven to be effective compared with the traditional systems engineering methods for complex systems in aviation and defence industries.

Integrated Modeling and Analysis to Support Model-Based Systems Engineering

2012 ◽  
Author(s):  
Hongman Kim ◽  
David Fried ◽  
Peter Menegay ◽  
Grant Soremekun
Keyword(s):  
Design Optimization ◽  
Systems Engineering ◽  
Optimization Problems ◽  
Integrated Modeling ◽  
System Model ◽  
Engineering Analysis ◽  
Modeling Tools ◽  
Modeling And Analysis ◽  
Model Based ◽  
Model Based Systems Engineering

Model-based systems engineering (MBSE) is an approach to improve traditional document-based systems engineering approach through the use of a system model. In the current practice of system developments, there exists a large gap between systems engineering activities and engineering analyses, because systems engineers and engineering analysts are using different models, tools and terminology. The gap results in inefficiencies and quality issues that can be very expensive. This work presents an integrated modeling and analysis capability that bridges the gap. The technical approach is based on integrating SysML modeling tools with process integration and design optimization framework. This approach connects SysML models with various engineering analysis tools through a common interface. A capability was developed to automatically generate analysis models from a system model and then execute the analytical models. Requirements conformance analysis was performed using results of engineering analysis. A technique was developed to define optimization problems in SysML, where requirements were used as design constraints. The integrated system modeling and analysis capability was demonstrated using an automobile brake pad design example. The integrated toolset was used to understand impacts of requirements changes in the SysML model and to find a new design that meets the new requirements through engineering design optimization.

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