Detailed Risk Analysis for Failure Prevention in Conceptual Design: RED (Risk in Early Design) Based Probabilistic Risk Assessments

Author(s):  
Katie Grantham Lough

Avoiding product recalls and failures is a must for companies to remain successful in the consumer product industry. Large numbers of failed products result in significant profit losses do to repair or replacement costs as well as untraceable costs of reputation damage among customer bases. Probabilistic risk assessment (PRA) is key to preventing product failures. When risks are adequately identified and assessed the potential product failures can be mitigated and save lives as well as company profit. Risk mitigation is more effective the earlier it can be applied in the design process; therefore, the identification and assessment of risk through PRA techniques is most beneficial to the company when employed early in the design process. This paper presents new techniques for performing four common PRAs, preliminary hazards analysis (PHA), failure mode and effect analysis (FMEA), fault tree analysis (FTA), and event tree analysis (ETA), during the conceptual phase of design, when products have yet to assume a physical form. The backbone for the application of these PRA techniques during the conceptual design phase is the Risk in Early Design (RED) Method. RED generates a listing of potential product risk based on historical failure occurrences. These risks are categorized by function, which enables this preliminary risk assessment to be performed during conceptual design. A risk analysis is performed for a bicycle that demonstrates the powerful failure prevention ability of RED and PRA during conceptual product design with a Consumer Product Safety Commission recall.

Author(s):  
Karthik Sundaram ◽  
Abhishek Chakravarty ◽  
Katie Grantham Lough ◽  
Derek Ditch

This paper introduces RED (Risk in Early Design) software developed by the R.I.S.K by Design Lab at University of Missouri-Rolla. The RED software is a risk analysis tool that enables failure prevention to begin during the conceptual phase of product design. The main focus of the paper is describing the software architecture and application. Its unique graphical user interface allows designers to simply select the functions of the system being designed and the software immediately generates a risk analysis report. This analysis categorizes risk likelihood and consequence elements for a product by translating the recorded information about function and failure. An example describing the software’s use in the design process is also presented.


2012 ◽  
Vol 201-202 ◽  
pp. 477-482
Author(s):  
Xing Ling Huang ◽  
Xiang Bing Huang

In order to reduce the risks and uncertainties in conceptual design of submarine rescue vehicle (SRV), the paper proposed a risk-based conceptual design method, which consisted of three focus areas: problem setup, risk assessment, risk mitigation and decision support. Conventional risk assessment tools (e.g. probability risk assessment) were not suited for initial design because of lack of data, and a safety analysis model using fuzzy-logic approach employing fuzzy IF-THEN rules was introduced to carry out risk analysis in conceptual design. Subsequently, it was investigated that the main risky factors which influenced system risk in initial design were technology level of SRV, safety of SRV, task complexity, investment and repayment. And then a risk analysis model for submarine rescue vehicle was introduced. Lastly a case was studied to demonstrate the application of the model, and the results showed that it was an effective way to reduce the risks and uncertainties in conceptual design process.


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