2014
DOI: 10.1016/j.procir.2014.05.011
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Transferability of Self-Healing Principles to the Recovery of Supply Network Disruptions – The Case of Renesas Electronics

Abstract: The topic of supply network disruption recovery has started to receive great attention within the academic as well as the business world. This is due to increasingly complex supply networks and the rise of natural and man-made disasters in quantity and severity. In this paper, the topic is approached in an interdisciplinary bio-inspired way. The transferability of biological self-healing principles to the recovery of supply network disruptions is analysed and first propositions are derived. A single case study… Show more

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Cited by 6 publications
(3 citation statements)
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“…The interactions in these SC ecosystems are very complex and are triggered by mutual interrelations and feedback between SCs, nature, society, and the economy ( Ivanov, 2020a ). In their literature review of nature inspired SC solutions, Turken et al (2020) show that many companies and researchers are looking to nature for solutions to the growing complexity of SCs ( Brüning et al, 2014 ; Byrne et al, 2018 ; Demirel et al, 2018 ; Ivanov, 2020a ; Kidd, 1994 ; Monostori, 2018 ; Sivakumar et al, 2012 ; Turken et al, 2020 ). Researchers have developed several algorithms inspired from nature to solve large scale and complex problems, e.g., Dwarf Mongoose Optimization Algorithm ( Agushaka et al, 2022 ); Aquila optimizer ( Abualigah et al, 2021 ); Reptile Search Algorithm ( Abualigah et al, 2022 ); Ebola Optimization Search Algorithm ( Oyelade et al, 2022 ).…”
Section: Supply Chain Survivabilitymentioning
confidence: 99%
“…The interactions in these SC ecosystems are very complex and are triggered by mutual interrelations and feedback between SCs, nature, society, and the economy ( Ivanov, 2020a ). In their literature review of nature inspired SC solutions, Turken et al (2020) show that many companies and researchers are looking to nature for solutions to the growing complexity of SCs ( Brüning et al, 2014 ; Byrne et al, 2018 ; Demirel et al, 2018 ; Ivanov, 2020a ; Kidd, 1994 ; Monostori, 2018 ; Sivakumar et al, 2012 ; Turken et al, 2020 ). Researchers have developed several algorithms inspired from nature to solve large scale and complex problems, e.g., Dwarf Mongoose Optimization Algorithm ( Agushaka et al, 2022 ); Aquila optimizer ( Abualigah et al, 2021 ); Reptile Search Algorithm ( Abualigah et al, 2022 ); Ebola Optimization Search Algorithm ( Oyelade et al, 2022 ).…”
Section: Supply Chain Survivabilitymentioning
confidence: 99%
“…Supply network disruption is defined as "unplanned and unanticipated events that disrupt the normal flow of goods and materials within a supply chain." Supply chain disruptions are possibly socio-political factors, natural catastrophes, or terrorism (Brüning et al, 2014;Parast & Subramanian, 2021). By studying the elements, one can understand how each step and aspect existing in a supply chain can impact the supply chain positively or negatively.…”
Section: Supply Chain Disruptions and Uncertaintymentioning
confidence: 99%
“…Recent research on supply chain health focusing on self-healing processes and supply network disruption recovery consistent with complexity theory and Curative International Marketing has been conducted by Cordes and Hulsmann (2013) as well as by Bruening, Buchholz, and Bendul (2014).…”
Section: Identity Theory -A Central Component Of the New Paradigmmentioning
confidence: 99%