scholarly journals A Historical Perspective on Development of Systems Engineering Discipline: A Review and Analysis

2019 ◽  
Vol 29 (1) ◽  
pp. 1-35 ◽  
Author(s):  
Niamat Ullah Ibne Hossain ◽  
Raed M. Jaradat ◽  
Michael A. Hamilton ◽  
Charles B. Keating ◽  
Simon R. Goerger
Keyword(s):  
Systems Engineering ◽  
Historical Perspective ◽  
Engineering Discipline

scholarly journals A historical perspective on development of systems engineering discipline : a review and analysis

2021 ◽  
Author(s):  
Niamat Ullah Ibne Hossain ◽  
Raed Jaradat ◽  
Michael Hamilton ◽  
Charles Keating ◽  
Simon Goerger
Keyword(s):  
Best Practices ◽  
Systems Engineering ◽  
Historical Perspective ◽  
Significant Progress ◽  
Stochastic Nature ◽  
The Past ◽  
Engineering Discipline ◽  
Performance Of Systems ◽  
Development Trajectory ◽  
Different Sources

Since its inception, Systems Engineering (SE) has developed as a distinctive discipline, and there has been significant progress in this field in the past two decades. Compared to other engineering disciplines, SE is not affirmed by a set of underlying fundamental propositions, instead it has emerged as a set of best practices to deal with intricacies stemming from the stochastic nature of engineering complex systems and addressing their problems. Since the existing methodologies and paradigms (dominant pat- terns of thought and concepts) of SE are very diverse and somewhat fragmented. This appears to create some confusion regarding the design, deployment, operation, and application of SE. The purpose of this paper is 1) to delineate the development of SE from 1926-2017 based on insights derived from a histogram analysis, 2) to discuss the different paradigms and school of thoughts related to SE, 3) to derive a set of fundamental attributes of SE using advanced coding techniques and analysis, and 4) to present a newly developed instrument that could assess the performance of systems engineers. More than Two hundred and fifty different sources have been reviewed in this research in order to demonstrate the development trajectory of the SE discipline based on the frequency of publication.

TOWARD A THEORY OF SYSTEMS ENGINEERING

2021 ◽  
pp. 1-11
Author(s):  
George A. Hazelrigg ◽  
Donald G. Saari
Keyword(s):  
Systems Engineering ◽  
Engineering Community ◽  
Engineering Discipline ◽  
Abstract Approach ◽  
Core Set ◽  
Engineering Practices ◽  
Physical Laws ◽  
Simple Preference ◽  
Sizable Fraction ◽  
Current Systems

Abstract The derivation of a theory of systems engineering has long been complicated by the fact that there is little consensus within the systems engineering community regarding precisely what systems engineering is, what systems engineers do, and what might constitute reasonable systems engineering practices. To date, attempts at theories fail to accommodate even a sizable fraction of the current systems engineering community, and they fail to present a test of validity of systems theories, analytical methods, procedures or practices. This paper presents a more theoretical and more abstract approach to the derivation of a theory of systems engineering that has the potential to accommodate a broad segment of the systems engineering community and present a validity test. It is based on a simple preference statement: “I want the best system I can get.” From this statement, it is argued that a very rich theory can be obtained. Whereas most engineering disciplines are framed around a core set of widely accepted physical laws, to the authors' knowledge, this is the first attempt to frame an engineering discipline around a preference.

Towards a Conceptual Framework for Open Systems Developments

2014 ◽  
Vol 7 (1) ◽  
pp. 41-54 ◽  
Author(s):  
James A. Cowling ◽  
Christopher V. Morgan ◽  
Robert Cloutier
Keyword(s):  
Conceptual Framework ◽  
Open Source ◽  
Systems Engineering ◽  
Open Source Software ◽  
Open Systems ◽  
System Development ◽  
Systems Development ◽  
Software Projects ◽  
Engineering Discipline ◽  
Development Approach

The systems engineering discipline has made great strides in developing a manageable approach to system development. This is predicated on thoroughly articulating the stakeholder requirements. However, in some engineering environments, requirements are changing faster than they can be captured and realized, making this ‘traditional' form of systems engineering less tenable. An iterative system refinement approach, characterized by open systems developments, may be a more appropriate and timely response for fast-changing needs. The open systems development approach has been utilized in a number of domains including open source software, Wikipedia®, and open innovation in manufacturing. However, open systems development appears difficult to recreate successfully, and while domain tradecraft advice is often available, no engineering management methodology has emerged to improve the likelihood of success. The authors discuss the essential features of openness in these three domains and use them to propose a conceptual framework for the further exploration of the effect of governance in determining success in such open endeavors. It is the authors' hope that further research to apply this conceptual framework to open source software projects may reveal some rudimentary elements of a management methodology for environments where requirements are highly uncertain, volatile, or ‘traditional' systems engineering is otherwise sub-optimal.

7.2.3 On enabling a model-based systems engineering discipline

2008 ◽  
Vol 18 (1) ◽  
pp. 827-845 ◽  
Author(s):  
Peter Denno ◽  
Thomas Thurman ◽  
John Mettenburg ◽  
Dwayne Hardy
Keyword(s):  
Systems Engineering ◽  
Model Based ◽  
Engineering Discipline ◽  
Model Based Systems Engineering

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.

scholarly journals A Generic Software Architecture for Prognostics (GSAP)

2020 ◽  
Vol 8 (2) ◽  
Author(s):  
Christopher Teubert ◽  
Matthew J. Daigle ◽  
Shankar Sankararaman ◽  
Kai Goebel ◽  
Jason Watkins
Keyword(s):  
Software Architecture ◽  
Systems Engineering ◽  
Object Oriented ◽  
Software Framework ◽  
Software Frameworks ◽  
Engineering Discipline ◽  
Adoption And Implementation ◽  
Cross Platform ◽  
Design And Testing

Prognostics is a systems engineering discipline focused on predicting end-of-life of components and systems. As a relatively new and emerging technology, there are few fielded implementations of prognostics, due in part to practitioners perceiving a large hurdle in developing the models, algorithms, architecture, and integration pieces. Similarly, no open software frameworks for applying prognostics currently exist. This paper introduces the Generic Software Architecture for Prognostics (GSAP), an open-source, cross-platform, object-oriented software framework and support library for creating prognostics applications. GSAP was designed to make prognostics more accessible and enable faster adoption and implementation by industry, by reducing the effort and investment required to develop, test, and deploy prognostics. This paper describes the requirements, design, and testing of GSAP. Additionally, a detailed case study involving battery prognostics demonstrates its use.

Cognitive System Engineering - Based Design: Alchemy or Engineering

2005 ◽  
Vol 49 (3) ◽  
pp. 254-258 ◽  
Author(s):  
James W. Gualtieri ◽  
Samantha Szymczak ◽  
William C. Elm
Keyword(s):  
Decision Support ◽  
Systems Engineering ◽  
Cognitive Complexity ◽  
Engineering Process ◽  
Cognitive Systems Engineering ◽  
Work Requirements ◽  
Engineering Discipline ◽  
Weakly Coupled ◽  
Cognitive Work ◽  
Work Domain

Cognitive Systems Engineering (CSE) techniques are widely used for the description and analysis of the sources of cognitive complexity and explicating the basis of expertise within a work domain. However, the results of the CSE techniques often focus on work analysis and are only weakly coupled to the design of decision support systems that are built based on those analyses. In fact, some within the CSE community have suggested that such a design epiphany occurs as if by magic. If CSE is to be treated as an engineering discipline, it cannot rely on magic to create systems. The approach described in this paper assumes that an explicit relationship between system design and supported cognitive work is fundamental to the design's effectiveness. The goal is a pragmatic, effective engineering process that explicitly designs systems according to relationships between cognitive work requirements and decision support concepts.

Toward a Theory of Systems Engineering

2020 ◽  
Author(s):  
George A. Hazelrigg ◽  
Donald G. Saari
Keyword(s):  
Systems Engineering ◽  
Engineering Community ◽  
Engineering Discipline ◽  
Abstract Approach ◽  
Core Set ◽  
Engineering Practices ◽  
Physical Laws ◽  
Simple Preference ◽  
Sizable Fraction ◽  
Current Systems

Abstract The derivation of a theory of systems engineering has long been complicated by the fact that there is little consensus within the systems engineering community regarding precisely what systems engineering is, what systems engineers do, and what might constitute reasonable systems engineering practices. To date, attempts at theories fail to accommodate even a sizable fraction of the current systems engineering community, and they fail to present a test of validity of systems theories, analytical methods, procedures or practices. This paper presents a more theoretical and more abstract approach to the derivation of a theory of systems engineering that has the potential to accommodate a broad segment of the systems engineering community and present a validity test. It is based on a simple preference statement: “I want the best system I can get.” From this statement, it is argued that a very rich theory can be obtained. Whereas most engineering disciplines are framed around a core set of widely accepted physical laws, to the authors’ knowledge, this is the first attempt to frame an engineering discipline around a preference.

Management of the Systems Engineering Discipline

1997 ◽  
Vol 7 (1) ◽  
pp. 618-625 ◽  
Author(s):  
Michelle E. Bruno ◽  
Brian W. Mar
Keyword(s):  
Systems Engineering ◽  
Engineering Discipline
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