System-level ship thermal management tool for dynamic thermal and piping network analyses in early-design stages

2017 ◽  
Author(s):  
Sam Yang ◽  
Juan Ordonez ◽  
Jose Vargas ◽  
Julie Chalfant ◽  
Chryssostomos Chryssostomidis
Keyword(s):  
Thermal Management ◽  
System Level ◽  
Management Tool ◽  
Early Design ◽  
Network Analyses ◽  
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.

scholarly journals Mathematical formulation and demonstration of a dynamic system-level ship thermal management tool

2016 ◽  
Vol 100 ◽  
pp. 1-18 ◽  
Author(s):  
S. Yang ◽  
J.C. Ordonez ◽  
J.V.C. Vargas ◽  
J. Chalfant ◽  
C. Chryssostomidis
Keyword(s):  
Dynamic System ◽  
Thermal Management ◽  
Mathematical Formulation ◽  
System Level ◽  
Management Tool

scholarly journals AB0080 A SYSTEM-LEVEL APPROACH IDENTIFIES A CRITICAL REGULATOR OF CHONDROSARCOMA PROGRESSION

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1340.3-1340
Author(s):  
H. Kim ◽  
Y. Cho ◽  
J. H. Kim
Keyword(s):  
Histological Grade ◽  
System Level ◽  
Clinical Approach ◽  
Cancer Therapies ◽  
Functional Roles ◽  
Network Analyses ◽  
Molecular Events ◽  
Anti Cancer ◽  
Tumor Growth And Metastasis ◽  
Chemotherapy Agents

Background:Chondrosarcomas are cartilaginous tumors that constitute one-third of skeletal system cancers. Chondrosarcomas are capable of transitioning to highly metastatic and treatment-refractory states, resulting in significant patient mortality. However, the molecular events accompanying this behavior remain unknown.Objectives:We aimed to uncover the molecular pathway underlying such tumor progression that confers a higher malignancy to chondrosarcoma.Methods:We conducted unsupervised gene co-expression network analyses using transcriptomes of patients with chondrosarcoma and extracted a characteristic transcription network underlying chondrosarcoma malignancy. By implementing a system-level upstream analysis of this gene network, we identified the transcriptional factor as a key regulator governing chondrosarcoma progression. We unraveled the functional roles of the identified factor in promoting tumor growth and metastasis of chondrosarcomas in the context of their unique microenvironments.Results:By conducting system-level upstream analysis, we identified a factor as a transcriptional regulator that governs the malignancy gene module. The identified factor was upregulated in chondrosarcoma biopsies associated with a high histological grade and conferred chondrosarcoma cells invasiveness and tumor-initiating capacity. In an orthotopic xenograft mouse model, the identified factor modulated local outgrowth and pulmonary metastasis of chondrosarcoma. Pharmacological inhibition of the identified factor in conjunction with the chemotherapy agents such as cisplatin or doxorubicin synergistically enhanced chondrosarcoma cell apoptosis and abolished malignant phenotypes of chondrosarcoma in mice.Conclusion:Our study provides a proof of concept evidence that inhibiting the identified factor suppresses progression of chondrosarcoma and improves the efficacy of chemotherapy in cellular and pre-clinical levels. Taken together, we believe that our findings provide novel molecular insights for the development of new anti-cancer therapies to target chondrosarcomas.References:[1]Gelderblom H, et al. The clinical approach towards chondrosarcoma. Oncologist 13, 320-329 (2008)Disclosure of Interests:None declared

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
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