Extended Enterprise Model for PSS Within a Systems Engineering Perspective

Insight ◽  
2019 ◽  
Vol 22 (4) ◽  
pp. 14-16
Author(s):  
Mourad Harrat ◽  
Elaheh Maleki ◽  
Farouk Belkadi ◽  
Alain Bernard
Keyword(s):  
Systems Engineering ◽  
Extended Enterprise ◽  
Enterprise Model

scholarly journals Critical Information

2012 ◽  
Vol 134 (06) ◽  
pp. 32-35 ◽  
Author(s):  
Peter A. Bilello
Keyword(s):  
Best Practices ◽  
Systems Engineering ◽  
Product Lifecycle Management ◽  
Digital Design ◽  
Extended Enterprise ◽  
Product Lifecycle ◽  
Release Date ◽  
Product Release ◽  
Electrical Engineers ◽  
Lifecycle Management

This article discusses the shift to product lifecycle management (PLM) systems by various mechanical engineering companies. Systems engineers and information-handling experts are joining forces to get a grip on the information explosion, thanks primarily to the timely convergence of systems engineering with digital design and development. PLM supports the extended enterprise. The rationale behind using PLM is to ensure that the ideas and information driving the development of today’s products incorporate best practices and everything learned right up to the product-release date. The rapid increase in electronic controls and software that are being built into key auto components requires that mechanical engineers and electrical engineers work ever more closely together. This highlights the need to integrate the very different approaches to development that the two disciplines use. One of the key functions of PLM is to make sure all the data in those analyses are retained, not just the conclusions.

Structured Risk Modelling of Naval Aviation Program Life Cycle Integration and Operation

2020 ◽  
Vol 05 (03) ◽  
pp. 291-309
Author(s):  
Matthew Cook ◽  
John P. T. Mo
Keyword(s):  
Life Cycle ◽  
Systems Engineering ◽  
P Element ◽  
Risk Modelling ◽  
Helicopter Flight ◽  
Enterprise Model ◽  
Design Build ◽  
Project Risks ◽  
Alliance Partners ◽  
Project Lifecycle

A strategic capability of contemporary naval ships is the ability to launch and recover embarked aircraft such as helicopters in a maritime environment. Such operations are enormously challenging due to deck motion, limited landing space, visibility, ship’s superstructure, etc. This places extreme pressure on the pilot, ship’s crew and the platforms alike, making such shipboard operations the most dangerous of all helicopter flight missions. Therefore, the design and integration of equipment, systems and aids to ensure such operations are done as safely as is practicably possible presents ship builders, aircraft manufacturers, engineers and pilots with some extremely demanding and complex problems. Major naval ship design/build programmes that include an aviation capability will inevitably need to engage resources across multiple disciplines that include, but not limited to, engineering, design, logistics, administration, procurement, legal, alliance partners and the customer to manage project risks from the outset. This research highlights the need for a holistic/Systems Engineering approach that recognises risks across the wider ship programme, which can only be managed/resolved by cross-discipline collaboration. This paper presents a novel methodology to elicit risks qualitatively and models the relative risk profile of an aviation project throughout the ship programme life cycle. The use of an enterprise model based on the three “P” element methodology (3PE), product, process, people within an environment, has been developed. Furthermore, the research outlines a continuous management and visualisation approach that enables a process of dynamic analysis to both reduce and mitigate residual risks progressively throughout the project lifecycle to acceptable levels.

scholarly journals Manufacturing Systems Engineering for the Extended Enterprise

1998 ◽  
pp. 93-103
Author(s):  
E. Corradi ◽  
A. Bartolotta ◽  
M. Garetti ◽  
M. Rabe ◽  
A. Raimondo
Keyword(s):  
Systems Engineering ◽  
Manufacturing Systems ◽  
Extended Enterprise

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.

Radio Systems Engineering

2016 ◽  
Author(s):  
Steven W. Ellingson
Keyword(s):  
Systems Engineering ◽  
Radio Systems

Cognitive Systems Engineering in Military Aviation Domains: An Introductory Primer

2001 ◽  
Author(s):  
Michael D. McNeese ◽  
◽  
Michael A. Vidulich
Keyword(s):  
Systems Engineering ◽  
Cognitive Systems ◽  
Cognitive Systems Engineering ◽  
Military Aviation

US-Brazil Cognitive Systems Engineering Exchange Program

2008 ◽  
Author(s):  
Stephanie Guerlain ◽  
David Woods ◽  
Jose Orlando Gomes
Keyword(s):  
Systems Engineering ◽  
Cognitive Systems ◽  
Cognitive Systems Engineering ◽  
Exchange Program

Systems engineering: its nature and scope

1986 ◽  
Vol 133 (6) ◽  
pp. 329
Author(s):  
P.K. M'Pherson ◽  
R.T. Beaty ◽  
K.J. Rawson ◽  
N. Francis ◽  
M.J. Whitmarsh-Everiss ◽  
...  
Keyword(s):  
Systems Engineering
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