Detecting Occurrences of the “Substitution Myth”: A Systems Engineering Template for Modeling the Supervision of Automation

2016 ◽  
Vol 11 (2) ◽  
pp. 184-199
Author(s):  
Patrick Chisan Hew
Keyword(s):  
Human Factors ◽  
Systems Engineering ◽  
Command And Control ◽  
Electronic Warfare ◽  
Weapon Systems ◽  
Model Based ◽  
And Control ◽  
Self Protection ◽  
Model Based Systems Engineering

Current usages of model-based systems engineering allow naïve substitutions of humans by machines. Human factors / ergonomics researchers have rejected such substitutions as the “substitution myth,” for if work is reallocated from a human to a machine, then there is work incurred to ensure that the machine is working properly—it must be supervised. We construct a template for what automation should look like when the need for supervision is taken into account. The template can be applied to understand the arrangements for supervising automation in systems as they are and to explore the options for systems that are being designed. We consider examples from electronic warfare self-protection and the command and control of sensor-weapon systems in the land domain.

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.

6.5.2 Human Factors Issues in a Model Based Systems Engineering Perspective

2010 ◽  
Vol 20 (1) ◽  
pp. 860-872
Author(s):  
Daniele Frisoni ◽  
Andrea Tocci ◽  
Francesco Ciambra ◽  
Manuela Nardini
Keyword(s):  
Human Factors ◽  
Systems Engineering ◽  
Model Based ◽  
Model Based Systems Engineering

Model-Based Systems Engineering and Control System Development via Virtual Hardware-in-the-Loop Simulation

2010 ◽  
Author(s):  
Lawrence Michaels ◽  
Sylvain Pagerit ◽  
Aymeric Rousseau ◽  
Phillip Sharer ◽  
Shane Halbach ◽  
...  
Keyword(s):  
Control System ◽  
Systems Engineering ◽  
System Development ◽  
Hardware In The Loop ◽  
Model Based ◽  
And Control ◽  
Model Based Systems Engineering

Informationsqualität in der Produktentwicklung: Modellbasiertes Systems Engineering mit expliziter Berücksichtigung von Unsicherheit/Information Quality in Product Engineering: Model-Based Systems Engineering in Explicit Consideration of Uncertainty

Konstruktion ◽  
2020 ◽  
Vol 72 (11-12) ◽  
pp. 76-83
Author(s):  
Jens Pottebaum ◽  
Iris Gräßler
Keyword(s):  
Systems Engineering ◽  
Information Quality ◽  
Engineering Model ◽  
Model Based ◽  
Product Engineering ◽  
Explicit Consideration ◽  
Model Based Systems Engineering

Inhalt Unscharfe Anforderungen, verschiedene Lösungs-alternativen oder eingeschränkt gültige Simulationsmodelle sind Beispiele für inhärente Unsicherheit in der Produktentwicklung. Im vorliegenden Beitrag wird ein modellbasierter Ansatz vorgestellt, der das industriell etablierte Denken in Sicherheitsfaktoren um qualitative Aspekte ergänzt. Modelle der Informationsqualität helfen, die Unsicherheit von Ent- wicklungsartefakten beschreibend zu charakterisieren. Mittels semantischer Technologien wird Unsicherheit so wirklich handhabbar – nicht im Sinne einer Berechnung, sondern im Sinne einer qualitativen Interpretation. Dadurch entsteht wertvolles Wissen für die iterative Anforderungsanalyse, die Bewertung alternativer System-Architekturen oder für die Rekonfiguration von Simulationen.

Human Factors of 3-D Perspective Displays for Command and Control

2002 ◽  
Author(s):  
Harvey S. Smallman ◽  
mark St. John ◽  
Michael B. Cowen
Keyword(s):  
Human Factors ◽  
Command And Control ◽  
And Control

scholarly journals An Approach to Complement Model-Based Vehicle Development by Implementing Future Scenarios

2021 ◽  
Vol 12 (3) ◽  
pp. 97
Author(s):  
Christian Raulf ◽  
Moritz Proff ◽  
Tobias Huth ◽  
Thomas Vietor
Keyword(s):  
Systems Engineering ◽  
Holistic Approach ◽  
Future Scenarios ◽  
Worst Case ◽  
System Architectures ◽  
Vehicle Development ◽  
Model Based ◽  
Scenario Technique ◽  
Stakeholder Needs ◽  
Model Based Systems Engineering

Today, vehicle development is already in a process of substantial transformation. Mobility trends can be derived from global megatrends and have a significant influence on the requirements of the developed vehicles. The sociological, technological, economic, ecological, and political developments can be determined by using the scenario technique. The results are recorded in the form of differently shaped scenarios; however, they are mainly document-based. In order to ensure a holistic approach in the sense of model-based systems engineering and to be able to trace the interrelationships of the fast-changing trends and requirements, it is necessary to implement future scenarios in the system model. For this purpose, a method is proposed that enables the consideration of future scenarios in model-based vehicle development. The procedure of the method is presented, and the location of the future scenarios within the system architectures is named. The method is applied and the resulting system views are derived based on the application example of an autonomous people mover. With the help of the described method, it is possible to show the effects of a change of scenario (e.g., best-case and worst-case) and the connections with the highest level of requirements: stakeholder needs.

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