توضیحات
ABSTRACT
While supply chain risk management offers a rich toolset for dealing with risk at the dyadic level, less attention has been given to the effectiveness of risk management in complex supply networks. We bridge this gap by building an agent based model to explore the relationship between topological characteristics of complex supply networks and their ability to recover through inventory mitigation and contingent rerouting. We simulate upstream supply networks, where each agent represents a supplier. Suppliers’ connectivity patterns are generated through random and preferential attachment models. Each supplier manages its inventory using an anchor-andadjust ordering policy. We then randomly disrupt suppliers and observe how different topologies recover when risk management strategies are applied. Our results show that topology has a moderating effect on the effectiveness of risk management strategies. Scale-free supply networks generate lower costs, have higher fill-rates, and need less inventory to recover when exposed to random disruptions than random networks. Random networks need significantly more inventory distributed across the network to achieve the same fill rates as scale-free networks. Inventory mitigation improves fill-rate more than contingent rerouting regardless of network topology. Contingent rerouting is not effective for scale-free networks due to the low number of alternative suppliers, particularly for short-lasting disruptions. We also find that applying inventory mitigation to the most disrupted suppliers is only effective when the network is exposed to frequent disruptions; and not cost effective otherwise. Our work contributes to the emerging field of research on the relationship between complex supply network topology and resilience.
INTRODUCTION
Over the past decades, supply chains have grown longer and became interconnected as a result of globalisation and rising cost pressures (Christopher and Holweg, 2011). Interconnectedness implies that a failure in one supply chain entity can potentially cascade across the whole network (Schmitt and Singh, 2012), making risk monitoring and mitigation challenging. Suppliers of multiple tiers are tied together creating emergent, yet predictable connection patterns, described as “supply network topology” (Thadakamalla et al., 2004). Studies on etwork topology, conducted under the framework of network science aim to unveil the behavioural phenomena of interconnected systems, which cannot be well understood from the perspective of a single entity.
Year: ۲۰۱۸
Publisher : ELSEVIER
By : Anna Ledwoch , Hakan Yasarcan , Alexandra Brintrup
File Information: English Language/ 14 Page / size: 396 KB
سال : ۱۳۹۶
ناشر : ELSEVIER
کاری از : آنا لودوخ، هاکان یاسارکان، الکساندرا برینپروپ
اطلاعات فایل : زبان انگلیسی / 14 صفحه / حجم : KB 396
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