Preference Modeling for Government-Owned Large-Scale Complex Engineered Systems: A Satellite Case Study

Author(s):  
Hanumanthrao Kannan ◽  
Syed Shihab ◽  
Maximilian Zellner ◽  
Ehsan Salimi ◽  
Ali Abbas ◽  
...  
Author(s):  
Frank H. Johnson ◽  
DeWitt William E.

Analytical Tools, Like Fault Tree Analysis, Have A Proven Track Record In The Aviation And Nuclear Industries. A Positive Tree Is Used To Insure That A Complex Engineered System Operates Correctly. A Negative Tree (Or Fault Tree) Is Used To Investigate Failures Of Complex Engineered Systems. Boeings Use Of Fault Tree Analysis To Investigate The Apollo Launch Pad Fire In 1967 Brought National Attention To The Technique. The 2002 Edition Of Nfpa 921, Guide For Fire And Explosion Investigations, Contains A New Chapter Entitled Failure Analysis And Analytical Tools. That Chapter Addresses Fault Tree Analysis With Respect To Fire And Explosion Investigation. This Paper Will Review The Fundamentals Of Fault Tree Analysis, List Recent Peer Reviewed Papers About The Forensic Engineering Use Of Fault Tree Analysis, Present A Relevant Forensic Engineering Case Study, And Conclude With The Results Of A Recent University Study On The Subject.


2019 ◽  
Vol 142 (7) ◽  
Author(s):  
John Meluso ◽  
Jesse Austin-Breneman ◽  
Jose Uribe

Abstract Communication has been shown to affect the design of large-scale complex engineered systems. Drawing from engineering design, communication, and management literature, this work defines miscommunication as when communication results in a “deficiency” or “problem” that hinders parties from fulfilling their values. This article details a consequential example of miscommunication at a Fortune 500 engineering firm with the potential to affect system performance. In phase 1, interviews with engineering practitioners (n = 82) identified disagreement about what constitutes a parameter “estimate” in the design process. Phase 2 surveyed engineering practitioners (n = 128) about whether estimates communicated for system-level tracking approximate “current” design statuses or “future” design projections. The survey found that both definitions existed throughout the organization and did not correlate with subsystem, position, or design phase. Engineers inadvertently aggregated both current and future estimates into single system-level parameters that informed decision-making, thereby constituting widespread or systemic miscommunication. Thus, even technical concepts may be susceptible to miscommunication and could affect system performance.


Author(s):  
Seung-Kyum Choi ◽  
Mervyn Fathianathan ◽  
Dirk Schaefer

The advances in information technology significantly impact the engineering design process. The primary objective of this research is to develop a novel probabilistic decision support tool to assist management of structural systems under risk and uncertainty by utilizing a stochastic optimization procedure and IT tools. The proposed mathematical and computational framework will overcome the drawbacks of the traditional methods and will be critically demonstrated through large-scale structural problems. The efficiency of the proposed procedure is achieved by the combination of the Karhunen-Loeve transform with the stochastic analysis of polynomial chaos expansion to common optimization procedures. The proposed technology, comprising new and adapted current capabilities, will provide robust and physically reasonable solutions for practical engineering problems.


Author(s):  
Seyedmohsen Hosseini ◽  
Nita Yodo ◽  
Pingfeng Wang

The concept of engineering resilience has received prevalent attention from academia as well as industry because it contributes a new means of thinking about how to withstand against disruptions and recover properly from them. Although the concept of resilience was scholarly explored in diverse disciplines, there are only few which focus on how to quantitatively measure the engineering resilience. This paper is dedicated to explore the gap between quantitative and qualitative assessment of engineering resilience in the domain of design of complex engineered systems. A conceptual framework is first proposed for the modeling of engineering resilience, and then Bayesian network is employed as a quantitative tool for the assessment and analysis of engineering resilience for complex systems. A case study related to electric motor supply chain is employed to demonstrate the proposed approach. The proposed resilience quantification and analysis approach using Bayesian networks would empower system designers to have a better grasp of the weakness and strength of their own systems against system disruptions induced by adverse failure events.


Author(s):  
Hoda Mehrpouyan ◽  
Brandon Haley ◽  
Andy Dong ◽  
Irem Y. Tumer ◽  
Christopher Hoyle

AbstractResilience is a key driver in the design of systems that must operate in an uncertain operating environment, and it is a key metric to assess the capacity for systems to perform within the specified performance envelop despite disturbances to their operating environment. This paper describes a graph spectral approach to calculate the resilience of complex engineered systems. The resilience of the design architecture of complex engineered systems is deduced from graph spectra. This is calculated from adjacency matrix representations of the physical connections between components in complex engineered systems. Furthermore, we propose a new method to identify the most vulnerable components in the design and design architectures that are robust to transmission of failures. Nonlinear dynamical system and epidemic spreading models are used to compare the failure propagation mean time transformation. Using these metrics, we present a case study based on the Advanced Diagnostics and Prognostics Testbed, which is an electrical power system developed at NASA Ames as a subsystem for the ramp system of an infantry fighting vehicle.


2020 ◽  
Vol 1 ◽  
pp. 2415-2424
Author(s):  
U. Sellgren ◽  
D. Williamsson

AbstractNovel products are commonly realized by integrating heterogeneous technologies. Product architecting focus on defining the scheme by which the product functions are allocated to physical components. A DSM-based clustering method that integrates technical complexity and strategic concerns has previously been proposed. It has been shown that interaction weights in the DSM may affect the clustering result. A complexity-based interaction strength model to be used in DSM clustering is proposed here. The case study gives promising results from both interaction performance and safety points of view.


Author(s):  
Benjamin Baxter ◽  
Richard Malak

Robustness is an important aspect of complex engineered systems. However, ambiguity in its definition can generate uncertainty among engineers about how to be sure that it is accounted for in their design. In this paper, robustness is defined as a property that allows a system to maintain its functions against anticipated internal and external perturbations. The important aspect of this definition is the focus of robustness on a per-function basis. A modified utility-based design approach is presented that provides a step by step implementation to help engineers ensure their designed systems meet their preferences and contain robust characteristics. The approach focuses on generating functional models of the proposed system. The functional models provide designers with insight into which internal and external perturbations should be included within the system model. An example case study is included to illustrate the steps of the modified utility-based design approach. The case study examines the entry, descent and landing of a Mars rover. The system and subsystems are modeled using black box models and EMS (Energy, Material, Signal) function structures. This allows the relevant internal and external perturbations to be modeled in the system model. The case study shows how using a utility-based analysis can produce a robust system.


Sign in / Sign up

Export Citation Format

Share Document