Static Resilience of Large Flexible Engineering Systems: Part I – Axiomatic Design Model

Our modern life has grown to depend on many and nearly ubiquitous large complex engineering systems. In recent years, many disciplines have seemingly come to ask the same question: “In the face of assumed disruption, to what degree will these systems continue to perform and when will they be able to bounce back to normal operation”. This paper seeks to partially fulfill this need with static resilience measures for large flexible engineering systems based upon an axiomatic design model. Given that the measurement of resilience is an indirect measurement process based upon models and formulaic measures, this two part paper is similarly organized. In Part I, the model is developed upon graph theory, axiomatic design for large flexible engineering systems (LFESs), and a tight analogy between mechanical systems and LFESs. Central to the development is the concept of structural degrees of freedom as the available combinations of systems processes and resources which individually describe system capabilities or sequentially give a sense of the skeleton of a system’s behavior. In Part II, the structural degree of freedom model is used to enumerate the service paths through a LFES along which valuable artifacts flow. The work then compares the value and quantity of service paths before and after a disruption as measures of static resilience – or survivability. A full illustrative example from the production system domain is provided. It is followed by a thorough discussion of the proposed resilience measures relative to the recent literature.

[1]  Benny Sudakov,et al.  Local resilience of graphs , 2007, Random Struct. Algorithms.

[2]  Bilal M Ayyub,et al.  Systems Resilience for Multihazard Environments: Definition, Metrics, and Valuation for Decision Making , 2014, Risk analysis : an official publication of the Society for Risk Analysis.

[3]  Jose Emmanuel Ramirez-Marquez,et al.  Resiliency as a component importance measure in network reliability , 2009, Reliab. Eng. Syst. Saf..

[4]  Royce A. Francis,et al.  A metric and frameworks for resilience analysis of engineered and infrastructure systems , 2014, Reliab. Eng. Syst. Saf..

[5]  Duncan McFarlane,et al.  Production degrees of freedom as manufacturing system reconfiguration potential measures , 2008 .

[6]  James P. Peerenboom,et al.  Identifying, understanding, and analyzing critical infrastructure interdependencies , 2001 .

[7]  Amro M. Farid,et al.  Measuring the effort of a reconfiguration process , 2008, 2008 IEEE International Conference on Emerging Technologies and Factory Automation.

[8]  Christos G. Cassandras,et al.  Introduction to Discrete Event Systems , 1999, The Kluwer International Series on Discrete Event Dynamic Systems.

[9]  Timothy P. Kelliher,et al.  Engineering Complex Systems With Models and Objects , 1997 .

[10]  Christopher L. Magee,et al.  Engineering Systems: Meeting Human Needs in a Complex Technological World , 2011 .

[11]  Nam P. Suh,et al.  Axiomatic Design: Advances and Applications , 2001 .

[12]  Amro M. Farid,et al.  An Axiomatic Design Approach to Passenger Itinerary Enumeration in Reconfigurable Transportation Systems , 2014, IEEE Transactions on Intelligent Transportation Systems.

[13]  Azad M. Madni,et al.  Towards a Conceptual Framework for Resilience Engineering , 2009, IEEE Systems Journal.

[14]  Amro M. Farid A Development of Degrees of Freedom for Manufacturing Systems , 2015 .

[15]  Raghav Pant,et al.  Static and dynamic metrics of economic resilience for interdependent infrastructure and industry sectors , 2014, Reliab. Eng. Syst. Saf..

[16]  A. Farid An Axiomatic Design Approach to Non-Assembled Production Path Enumeration in Reconfigurable Manufacturing Systems , 2015 .

[17]  Amro M. Farid,et al.  An Axiomatic Design Approach to Reconfigurable Transportation Systems Planning and Operations , 2013 .

[18]  Maarten van Steen,et al.  Graph Theory and Complex Networks: An Introduction , 2010 .

[19]  Amro M. Farid An Axiomatic Design Approach to Production Path Enumeration in Reconfigurable Manufacturing Systems , 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

[20]  Kash Barker,et al.  Resilience-based network component importance measures , 2013, Reliab. Eng. Syst. Saf..

[21]  Devanandham Henry,et al.  Generic metrics and quantitative approaches for system resilience as a function of time , 2012, Reliab. Eng. Syst. Saf..

[22]  K. C. Kapur,et al.  Methodology for Assessing the Resilience of Networked Infrastructure , 2009, IEEE Systems Journal.

[23]  Roberto A. Tenenbaum,et al.  Fundamentals of Applied Dynamics , 2004 .

[24]  Mark Newman,et al.  Networks: An Introduction , 2010 .

[25]  C.J.H. Mann,et al.  A Practical Guide to SysML: The Systems Modeling Language , 2009 .

[26]  Amro M. Farid,et al.  AN AXIOMATIC DESIGN BASED APPROACH FOR THE CONCEPTUAL DESIGN OF TEMPORARY MODULAR HOUSING , 2013 .

[27]  Amro M. Farid,et al.  A hybrid dynamic system model for the assessment of transportation electrification , 2014, 2014 American Control Conference.