scholarly journals Product Lifecycle Management Architecture: A Model Based Systems Engineering Analysis.

2015 ◽  
Author(s):  
Nicholas James Noonan
Keyword(s):  
Systems Engineering ◽  
Product Lifecycle Management ◽  
Engineering Analysis ◽  
Product Lifecycle ◽  
Model Based ◽  
Management Architecture ◽  
Lifecycle Management ◽  
Model Based Systems Engineering

scholarly journals INTEGRATION OF BLOCKCHAIN TECHNOLOGIE IN CASE OF SYSTEMS ENGINEERING AND SOFTWARE ENGINEERING IN AN INDUSTRIAL CONTEXT

2021 ◽  
Vol 1 ◽  
pp. 1887-1896
Author(s):  
Vahid Salehi
Keyword(s):  
Software Engineering ◽  
Systems Engineering ◽  
Data Entry ◽  
Product Lifecycle Management ◽  
Vehicle Engineering ◽  
Blockchain Technology ◽  
Software Engineering Process ◽  
Lifecycle Management ◽  
Model Based Systems Engineering ◽  
Industrial Context

AbstractCurrently, inconsistent software versions lead to massive challenges for many car manufacturers. This is partly because within the product lifecycle management and the software engineering process, there is no correct handling of software versions for the “data entry” (installation of software on the ECU) of the vehicles. Furthermore, there are currently major challenges for many vehicle manufacturers to ensure transparency, integrity and full traceability of SW data status vis-à-vis the legislator. To counteract these challenges, new solutions in the field of vehicle engineering are to be developed based on a new platform called “CarEngChainNet” and Blockchain technology. On the basis of the “CarEngChainNet” platform, new main and sub-chain chains will be developed that allow tamper-proof SW data management (Peer to Peer and crypto technology) across the entire PLM chain with new methods such as model-based systems engineering of the requirement, function and integration of the SW components in different areas of vehicle development. The aim is to develop new transmission chains of vehicles with individually packaged software artefacts (e.g. ECU software) that can be securely transmitted from server to server into the vehicle.

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.

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.

scholarly journals Implementations of Model Based Definition and Product Lifecycle Management Technologies: a Case Study in Chinese Aeronautical Industry

2016 ◽  
Vol 49 (12) ◽  
pp. 485-490 ◽  
Author(s):  
Wenhua Zhu ◽  
Matthieu Bricogne ◽  
Alexandre Durupt ◽  
Sébastien Remy ◽  
Baorui Li ◽  
...  
Keyword(s):  
Product Lifecycle Management ◽  
Product Lifecycle ◽  
Model Based ◽  
Aeronautical Industry ◽  
Lifecycle Management

scholarly journals Implementation of MBSE Practices within Integrated PLM Solutions

2020 ◽  
Author(s):  
S.P. Shcheinikov
Keyword(s):  
System Engineering ◽  
Product Lifecycle Management ◽  
General Analysis ◽  
Engineering Model ◽  
Product Lifecycle ◽  
Modeling Tool ◽  
Model Based ◽  
Current State ◽  
Support Practices ◽  
Lifecycle Management

The article provides a general analysis of the current state of information ecosystems that implement the practice of model-based system engineering. It is concluded that the largest players of the PLM-market in the strategy and tactics of development of their products lay support practices model-based system engineering. Implementation of MBSE practices within PLM solutions is considered on the example of Siemens Digital Industries Software’s products. Keywords: System Engineering, Model-based system engineering (MBSE), Product lifecycle management (PLM), Capella, Modeling Tool, ARCADIA.

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