A Research and Analysis of AMCOM, RDEC, ED, Production Engineering Division and the Systems Engineering Effort

2002 ◽  
Author(s):  
Dawn R. Utley
Keyword(s):  
Systems Engineering ◽  
Production Engineering ◽  
Engineering Effort

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.

scholarly journals A Systems Approach to Establishing an Advanced Manufacturing Innovation Institute

Systems ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 41
Author(s):  
Gregory Harris ◽  
Lauren Caudle
Keyword(s):  
Systems Thinking ◽  
Systems Engineering ◽  
Systems Approach ◽  
Interdisciplinary Approach ◽  
Advanced Manufacturing ◽  
Physical Systems ◽  
National Network ◽  
Engineering Discipline ◽  
Manufacturing Innovation ◽  
Engineering Effort

Systems engineering is a methodology where an interdisciplinary approach is applied, using systems thinking, to the development of a system of interest. The systems engineering discipline has emerged as an effective way to guide the engineering of complex systems, but has been applied most readily in the realm of cyber physical systems. In some circles of the Federal Government, the mention of systems engineering processes immediately leads people to think of a long, inefficient effort due to an often applied bureaucratic approach, where the focus is on documentation rather than the development of the system of interest, which comes from a view that the product of the systems engineering effort is the document, not the system itself. In this paper, the authors describe the application of systems thinking and the systems engineering process to the design and creation of an Advanced Manufacturing Innovation Institute (MII, part of the National Network for Manufacturing Innovation) established under Department of Defense (DoD) authority for the Office of the President, that was swift, efficient, and implemented without formality.

Abstraction: An alternative neurocognitive account of recognition, prediction, and decision making

2020 ◽  
Vol 43 ◽  
Author(s):  
Valerie F. Reyna ◽  
David A. Broniatowski
Keyword(s):  
Decision Making ◽  
Software Engineering ◽  
Systems Engineering ◽  
Evidence Based ◽  
Extensive Literature ◽  
Trace Theory ◽  
Fuzzy Trace Theory ◽  
Abstract Representations ◽  
Technical Systems

Abstract Gilead et al. offer a thoughtful and much-needed treatment of abstraction. However, it fails to build on an extensive literature on abstraction, representational diversity, neurocognition, and psychopathology that provides important constraints and alternative evidence-based conceptions. We draw on conceptions in software engineering, socio-technical systems engineering, and a neurocognitive theory with abstract representations of gist at its core, fuzzy-trace theory.

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