Abstract
Robustness of a supply network highly depends on its structure. Although structural design methods have been proposed to create supply networks with optimal robustness, a real-life supply network can be quite different from these optimal structural designs. Meanwhile, real cases such as Thailand floods and Tohoku earthquake demonstrate the vulnerability of supply networks in real life. Obviously, it is urgent to enhance the robustness of existing real-life supply networks. Thus, in this paper, a supply network reconfiguration method based on adaptive variable neighborhood search (AVNS) is proposed to enhance the structural robustness of supply networks facing both random and target disruptions. Firstly, a supply network model considering the heterogeneous roles of entities is introduced. Based on the model, two robustness metrics, Rr and Rt, are proposed to describe the tolerance of supply networks facing random and target disruptions, respectively. Then, the problem of reconfiguration-based supply network robustness enhancement is described. To solve the problem effectively and efficiently, a new heuristic based on general variable neighborhood search, namely, AVNS, is proposed. Finally, a case study based on three real-life supply networks is presented to verify the applicability and effectiveness of the proposed robustness enhancing method.
Highlights
A supply network is created when two or more entities are connected by resource flows, such as product flows, material flows, or information flows, to fulfill the demands of downstream customers [1]
After the great loss in 2011 Tohoku earthquake, Toyota realized the fragility of its supply network [28]. en, Toyota decided to exam and redesign the current supply network, rather than designing an entirely new supply network to replace the existing one. Based on these previous works, this study adopts the complex-network view of supply networks and proposes a supply network reconfiguration method based on adaptive variable neighborhood search (AVNS) for robustness enhancement
It is noticed that Chain 25 is more robust than Chain 14 facing both random and target disruptions. e main reason of such difference can be deduced that Chain 25 is much denser than Chain14
Summary
A supply network is created when two or more entities are connected by resource flows, such as product flows, material flows, or information flows, to fulfill the demands of downstream customers [1]. To find an optimal structure of supply networks which can withstand both random and target disruptions, supply network structural designs based on various complex network models have been proposed in the past decades [8, 9, 24, 25]. En, Toyota decided to exam and redesign the current supply network, rather than designing an entirely new supply network to replace the existing one Based on these previous works, this study adopts the complex-network view of supply networks and proposes a supply network reconfiguration method based on adaptive variable neighborhood search (AVNS) for robustness enhancement.
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