Abstract
The present paper is dedicated to assessing the resilience and the possibility of recovery and support of large-scale industrial systems (ISs) affected by destructive impacts such as natural hazards, technogenic catastrophes, acts of terror, pandemics, mutual sanctions, etc. The proposed approach to these problems is based on the application of the multigrammatical framework that provides a natural and flexible representation of the technological and resource bases of ISs as well as their transformations after impacts. We introduce a general criteria for the resilience, recoverability, and supportability of the affected industrial system by other external IS with itβs own technological and resource bases.
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Abbreviations
- AIS :
-
Assigned industrial system
- BC :
-
Boundary condition
- CF :
-
Context-free
- CI :
-
Critical infrastructure
- DSTS :
-
Distributed sociotechnological system
- EIS :
-
External industrial system
- FIS :
-
Free industrial system
- FMG :
-
Filtering multiset grammar
- FUMG :
-
Filtering unitary multiset grammar
- STS :
-
Sociotechnological system
- IS :
-
Industrial system
- LSTS :
-
Local sociotechnological system
- MG :
-
Multiset grammar
- MO :
-
Multiobject
- MS :
-
Multiset
- OC :
-
Optimizing condition
- OR :
-
Object-resource
- RB :
-
Resource base
- SMS :
-
Set of multisets
- STMS :
-
Set of terminal multisets
- TB :
-
Technological base
- TMS :
-
Terminal multiset
- UMG :
-
Unitary multiset grammar
- UMG RG :
-
Unitary multiset grammar with reduced generation
- UR :
-
Unitary rules
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Acknowledgments
The author is grateful to Prof. Fred Roberts for his useful advice and support, to Prof. Javier Rubio-Herrero for his thorough and careful editing of this paper, and to Prof. Alexey Gvishiani for his permanent collaboration.
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Sheremet, I.A. (2021). Chapter 2 Application of the Multigrammatical Framework to the Assessment of Resilience and Recoverability of Large β Scale Industrial Systems. In: Roberts, F.S., Sheremet, I.A. (eds) Resilience in the Digital Age. Lecture Notes in Computer Science(), vol 12660. Springer, Cham. https://doi.org/10.1007/978-3-030-70370-7_2
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DOI: https://doi.org/10.1007/978-3-030-70370-7_2
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