Resilience Informatics for Cyber-augmented Manufacturing Networks (CMN):
Centrality, Flow and Disruption

Win P. V. NGUYEN, Shimon Y. NOF^* 
PRISM Center & School of Industrial Engineering, Purdue University, USA
nguyen41@purdue.edu, nof@purdue.edu (^*Corresponding author)

ABSTRACT: Disruptive events during the past decade have inspired greater interest into the concept of resilience in manufacturing networks. In highly complex and interconnected manufacturing networks, disruptions are not isolated events, and the impacts in one location can propagate and affect other parts of the networks. Although the resilience concept in manufacturing networks is becoming better understood, there is a need for informatics and applications of informatics for the purpose of resilience in manufacturing networks. In this work, the Cyber-augmented Manufacturing Network (CMN) model is introduced along with three informatics developed for the purpose of understanding resilience. The CMN model captures the main components of a manufacturing network under disruption and their relationships. The three informatics and their eight indices provide important insights into the manufacturing networks under disruption. The model is validated with a case study with disruption repair to illustrate one possible application of the informatics.

KEYWORDS: Resilient manufacturing, Manufacturing network, Manufacturing informatics, Cyber-physical systems.

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CITE THIS PAPER AS:
Win P. V. NGUYEN, Shimon Y. NOF, Resilience Informatics for Cyber-augmented Manufacturing Networks (CMN):  Centrality, Flow and Disruption, Studies in Informatics and Control, ISSN 1220-1766, vol. 27(4), pp. 377-384, 2018. https://doi.org/10.24846/v27i4y201801