Title: Exact and heuristic methods for integrated supply chain design reliability analysis

Authors: Dmitry Ivanov; Alexander Pavlov; Boris Sokolov

Addresses: Berlin School of Economics and Law, Supply Chain Management, Badensche Str. 50-51, 10825 Berlin, Germany ' Saint Petersburg Institute for Informatics and Automation SPIIRAS, SPIIRAS 14 Line V.O., 29, 199178 St. Petersburg, Russia ' Saint Petersburg Institute for Informatics and Automation SPIIRAS, SPIIRAS 14 Line V.O., 29, 199178 St. Petersburg, Russia

Abstract: The ability to execute supply chains (SC) operations (in other words, to survive) despite the disturbances caused by a disruption is considered as SC design reliability. In the scope of this research is the analysis of what SC elements will survive (i.e., be in operation) after a disruption. In this study, we take the managerial perspective of the integrated SC and suggest the genome concept and its dual analogue to quantify the SC structure reliability. This method allows determining the upper bound and the approximate lower bound of the SC reliability. This result can be used by SC managers to compare different SC designs regarding the reliability. Subsequently, we extend the structure reliability analysis towards the trade-off 'reliability vs. efficiency'. In particular, it is shown that different forms of SC design structures with similar efficiency may significantly differ regarding reliability.

Keywords: supply chain design; structure dynamics; supply chain disruptions; reliability assessment; ripple effect; graph theory; genome; integrated supply chains; supply chain reliability; supply chain management; SCM; supply chain efficiency.

DOI: 10.1504/IJISM.2016.077075

International Journal of Integrated Supply Management, 2016 Vol.10 No.2, pp.206 - 224

Received: 25 May 2015
Accepted: 25 Apr 2016

Published online: 20 Jun 2016 *

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