A Concurrent Engineering Support System for the Assessment of Manufacturing Options at Early Design Stages

1995 ◽  
pp. 485-492 ◽  
Author(s):  
H. D. Bradley ◽  
P. G. Maropoulos
Keyword(s):  
Support System ◽  
Concurrent Engineering ◽  
Early Design ◽  
Early Design Stages

scholarly journals Supporting Early Stage Set-Based Concurrent Engineering with Value Driven Design

2019 ◽  
Vol 1 (1) ◽  
pp. 2367-2376
Author(s):  
Alessandro Bertoni ◽  
Marco Bertoni
Keyword(s):  
Concurrent Engineering ◽  
Customer Value ◽  
New Technologies ◽  
Early Stage ◽  
Systems Design ◽  
Value Assessment ◽  
Trade Off ◽  
Early Design ◽  
Design Concepts ◽  
Early Design Stages

AbstractSet-Based Concurrent Engineering is commonly adopted to drive the development of complex products and systems. However, its application requires design information about a future product that is often not mature enough in the early design stages, and that it is not encompassing a service and lifecycle- oriented perspective. There is a need for manufacturers to understand, since the early design stages, how customer value is created along the lifecycle of a product from a hardware and service perspective, and how to use such information to screen radically new technologies, trade-off promising design configurations and commit to a design concept. The paper presents an approach for the multidisciplinary value assessment of design concepts in sub-systems design, encompassing the high-level concept screening and the trade-off of different design concepts, and enabling the integration of value models results into a Set-based Concurrent Engineering process. The approach is described through its application in the case study of the development of a subsystem component for a commercial aircraft engine.

Systems Thinking in Aerospace: The Contributions to the Design of Future Airliners’ Single Pilot Operations

2020 ◽  
Vol 64 (1) ◽  
pp. 188-192
Author(s):  
Daniela Schmid ◽  
Neville A. Stanton
Keyword(s):  
Literature Review ◽  
Human Factors ◽  
Systems Thinking ◽  
Systematic Literature Review ◽  
Hierarchical Structures ◽  
Theoretical Models ◽  
Sociotechnical Systems ◽  
System Behavior ◽  
Early Design ◽  
Early Design Stages

Systems thinking methods have evolved into a popular toolkit in Human Factors to analyze complex sociotechnical systems at early design stages, such as future airliners’ single pilot operations (SPO). A quantitative re-analysis of studies from a systematic literature review (Schmid & Stanton, 2019b) was conducted to categorically assess their contributions to researching SPO and to fitting their systems thinking methods to contemporary Human Factors problems. Although only 15 of 79 publications applied systems thinking methods to operational, automation, and the pilot incapacitation issue(s) of SPO, these studies provided a comprehensive concept of operations that is able to deal with many issues of future single-piloted airliners. These theoretical models require further evaluation by looking at the empirical instances of system behavior. Finally, the hierarchical structures in system’s development and operations from systems thinking enable Human Factors professionals and researchers to approach SPO systematically.

Design optimization approach comparing multicriterial variants using BIM in early design stages

2021 ◽  
Author(s):  
Kasimir Forth ◽  
Jimmy Abualdenien ◽  
André Borrmann ◽  
Sabrina Fellermann ◽  
Christian Schunicht
Keyword(s):  
Design Optimization ◽  
Optimization Approach ◽  
Early Design ◽  
Early Design Stages

Parametric real-time energy analysis in early design stages: a method for residential buildings in Germany

2017 ◽  
Vol 3 (1) ◽  
pp. 13-23 ◽  
Author(s):  
Alexander Hollberg ◽  
Thomas Lichtenheld ◽  
Norman Klüber ◽  
Jürgen Ruth
Keyword(s):  
Real Time ◽  
Energy Analysis ◽  
Residential Buildings ◽  
Early Design ◽  
Early Design Stages

Identification of Human Errors During Early Design Stage Functional Failure Analysis

2018 ◽  
Author(s):  
Lukman Irshad ◽  
Salman Ahmed ◽  
Onan Demirel ◽  
Irem Y. Tumer
Keyword(s):  
Failure Analysis ◽  
Human Error ◽  
System Level ◽  
Design Stage ◽  
Human Factors Engineering ◽  
Human Errors ◽  
Functional Failure ◽  
Early Design ◽  
Early Design Stage ◽  
Early Design Stages

Detection of potential failures and human error and their propagation over time at an early design stage will help prevent system failures and adverse accidents. Hence, there is a need for a failure analysis technique that will assess potential functional/component failures, human errors, and how they propagate to affect the system overall. Prior work has introduced FFIP (Functional Failure Identification and Propagation), which considers both human error and mechanical failures and their propagation at a system level at early design stages. However, it fails to consider the specific human actions (expected or unexpected) that contributed towards the human error. In this paper, we propose a method to expand FFIP to include human action/error propagation during failure analysis so a designer can address the human errors using human factors engineering principals at early design stages. To explore the capabilities of the proposed method, it is applied to a hold-up tank example and the results are coupled with Digital Human Modeling to demonstrate how designers can use these tools to make better design decisions before any design commitments are made.

Computational Functional Failure Analysis to Identify Human Errors During Early Design Stages

2019 ◽  
Vol 19 (3) ◽  
Author(s):  
Lukman Irshad ◽  
Salman Ahmed ◽  
H. Onan Demirel ◽  
Irem Y. Tumer
Keyword(s):  
Failure Analysis ◽  
Human Error ◽  
Human Action ◽  
System Level ◽  
Design Stage ◽  
Human Factors Engineering ◽  
Human Errors ◽  
Functional Failure ◽  
Early Design ◽  
Early Design Stages

Detection of potential failures and human error and their propagation over time at an early design stage will help prevent system failures and adverse accidents. Hence, there is a need for a failure analysis technique that will assess potential functional/component failures, human errors, and how they propagate to affect the system overall. Prior work has introduced functional failure identification and propagation (FFIP), which considers both human error and mechanical failures and their propagation at a system level at early design stages. However, it fails to consider the specific human actions (expected or unexpected) that contributed toward the human error. In this paper, we propose a method to expand FFIP to include human action/error propagation during failure analysis so a designer can address the human errors using human factors engineering principals at early design stages. The capabilities of the proposed method is presented via a hold-up tank example, and the results are coupled with digital human modeling to demonstrate how designers can use these tools to make better design decisions before any design commitments are made.

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