Development of the Reliability-Risk Modeling Framework for Ranking Conceptual Designs

2016 ◽  
Author(s):  
Anthony D’Angelo
Keyword(s):  
Complex System ◽  
Supply Chain ◽  
Systems Engineering ◽  
Hybrid Approach ◽  
Risk Modeling ◽  
Modeling Framework ◽  
Reliability Design ◽  
Conceptual Designs ◽  
Design Integration ◽  
Federal Information Processing Standard

A critical component of Systems Engineering (SE) is to conduct a thorough Risk Analysis. This paper introduces a novel hybrid approach to develop a Reliability-Risk modeling technique that will be able to rank Conceptual Designs as a function of Reliability. A traditional SE approach is used to identify all success modes associated with the development of a complex system. Also, the Advanced Development, Design, Integration & Evaluation, Production, and Operation & Support that make up the major phases of a Systems Engineering model will define the Holographic Reliability Design Space. Requirements of the System under development are captured through the implementation of the Integration Definition Function Modeling (IDEF0) technique. The IDEF0 method is defined in Federal Information Processing Standard Publications (FIPS PUBS 183) [1]. Using the developed IDEF0 model allows the function of each component to be identified, the proper reliability model to be chosen, and completion of a reliability-based analysis. Upon completion of calculating the reliability, for each criterion, the use of a Multi-Criteria Decision System (MCDS) is required to rank the conceptual designs in terms of reliability. A MCDS was developed to analyze the conflicting objects inherent during the design and integration of any complex system. The model developed herein was used to analyze 5 Packaging Conceptual designs being considered to become part of the military Supply Chain. After completion of the analysis, the new and innovative Packaging Designs were ranked based on reliabilities associated with design, test, integration, manufacturing, and incorporation into the existing Supply Chain. The results of the rankings were then presented to the ultimate decision makers for final approval.

scholarly journals Assessing Cyber-Worthiness of Complex System Capabilities using MBSE: A new rigorous engineering methodology

2021 ◽  
Author(s):  
Stuart Fowler ◽  
Keith Joiner ◽  
Elena Sitnikova
Keyword(s):  
Complex System ◽  
Complex Systems ◽  
Systems Engineering ◽  
Cyber Attacks ◽  
Simulation Methods ◽  
Assessment Methodology ◽  
Cyber Attack ◽  
Cyber Threats ◽  
Attack Surface ◽  
Model Based Systems Engineering

<div>Cyber-worthiness as it is termed in Australian Defence, or cyber-maturity more broadly, is a necessary feature of modern complex systems which are required to operate in a hostile cyber environment. To evaluate the cyber-worthiness of complex systems, an assessment methodology is required to examine a complex system’s or system-of-system’s vulnerability to and risk of cyber-attacks that can compromise such systems. This assessment methodology should address the cyber-attack surface and threat kill chains, including supply chains and supporting infrastructure. A cyber-worthiness capability assessment methodology has been developed based on model-based systems engineering concepts to analyse the cyber-worthiness of complex systems and present a risk assessment of various cyber threats to the complex system. This methodology incorporates modelling and simulation methods that provide organisations greater visibility and consistency across diverse systems, especially to drive cybersecurity controls, investment and operational decisions involving aggregated systems. In this paper, the developed methodology will be presented in detail and hypothesised outcomes will be discussed.</div>

Industry 4.0 From the Systems Engineering Perspective

2020 ◽  
pp. 575-599
Author(s):  
Vladimír Bureš
Keyword(s):  
Complex System ◽  
Physical Activity ◽  
Complex Systems ◽  
Frequency Analysis ◽  
Systems Engineering ◽  
Industry 4.0 ◽  
Control Level ◽  
Design Development ◽  
Starting Point ◽  
And Control

Systems engineering focuses on design, development, and implementation of complex systems. Not only does the Industry 4.0 concept consist of various technical components that need to be properly set and interconnected, but it is also tied to various managerial aspects. Thus, systems engineering approach can be used for its successful deployment. Overemphasis of technological aspects of Industry 4.0 represents the main starting point of this chapter. Then, collocation analysis, word clusters identification, selection and exemplification of selected domain in the business management realm, and frequency analysis are used in order to develop a holistic framework of Industry 4.0. This framework comprises six levels – physical, activity, outcome, content, triggers, and context. Moreover, the information and control level is integrated. The new holistic framework helps to consider Industry 4.0 from the complex systems engineering perspective – design and deployment of a complex system with required parameters and functionality.

Connecting the Bench with the Bedside

2011 ◽  
pp. 249-267
Author(s):  
Yue Wang Webster ◽  
Ernst R Dow ◽  
Mathew J Palakal
Keyword(s):  
Complex System ◽  
Colorectal Cancer ◽  
Conceptual Framework ◽  
Translational Research ◽  
Dynamic Process ◽  
Hybrid Approach ◽  
Disease Area ◽  
Cancer Disease ◽  
Clinical Observations ◽  
Hypotheses Generation

Even though numerous tools and technologies have been developed to meet this need with various degrees of success, a conceptual framework is needed to fully realize the value of those tools and technologies. The authors propose Complex System (CS) to be the logical foundation of such a framework. Since translational research is a spiral and dynamic process. With the CS mindset, they designed a multi-layer architecture called HyGen (Hypotheses Generation Framework) to address the challenges faced by translational researchers. In order to evaluate the framework, the authors carried out heuristic and quantitative tests in Colorectal Cancer disease area. The results demonstrate the potential of this hybrid approach to bridge silos and to identify hidden links among clinical observations, drugs, genes and diseases, which may eventually lead to the discovery of novel disease targets, biomarkers and therapies.

A Novel Application of a Hybrid Delphi-Analytic Hierarchy Process (AHP) Technique

2014 ◽  
Vol 5 (1) ◽  
pp. 52-75 ◽  
Author(s):  
Yasanur Kayikci ◽  
Volker Stix ◽  
Larry J. LeBlanc ◽  
Michael R. Bartolacci
Keyword(s):  
Supply Chain ◽  
Analytic Hierarchy Process ◽  
Raw Materials ◽  
Hybrid Approach ◽  
Strategic Alignment ◽  
Supply Chain Collaboration ◽  
Analytic Hierarchy ◽  
Environmentally Conscious ◽  
Technical Risk ◽  
Hierarchy Process

This research studies heterarchical collaboration in logistical transport. Specifically, it utilizes a hybrid Delphi-Analytic Hierarchy Process (AHP) approach to explore the relevant criteria for the formation and maintenance of a strategic alignment for heterarchical transport collaboration. The importance of this work is that it applies a novel hybrid approach for identifying criteria for success to a little-studied form of supply chain collaboration: heterarchical collaborative transport. The criteria for this form of collaboration identified by the application of Delphi-AHP include ones from the technical, risk, financial, organizational, and operational categories. This novel application of the hybrid approach leveraged the expertise of transportation collaboration experts from the U.K., France, Canada, Sweden, the Netherlands, and Italy to identify key criteria for a strategic alignment between heterarchical collaboration partners. Such collaborative initiatives are important in industry as an environmentally conscious, yet efficient and effective strategy for the transport of raw materials and finished products in the supply chain.

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