Design of supply chain topology to mitigate demand and supply risks
Wen Jun Tan, Zhengping Li, Wentong Cai
Abstract
Wen Jun Tan, Zhengping Li, Wentong Cai
Abstract
To achieve competitive advantage, companies have been driven to improve their supply chain by outsourcing their non-core business. However, this increases the external risks, such as the demand and supply risks. Companies face challenges in defining effective supply chain topology to mitigate supply chain risks. In this research, we design supply chain network topologies to mitigate the demand and supply risks. Four supply chain network topologies have been designed to represent different supply chain strategies: efficient, responsive, risk-hedging, and agile strategies. An agent-based modeling approach is proposed to evaluate the performance of the supply chain network topologies under different demand and supply risk scenarios. From the results, we can identify the effective supply chain network topology to mitigate the disruption for a particular risk scenario.
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To achieve competitive advantage, companies have been driven to improve their supply chain by outsourcing their non-core business. However, this increases the external risks, such as the demand and supply risks. Companies face challenges in defining effective supply chain topology to mitigate supply chain risks. In this research, we design supply chain network topologies to mitigate the demand and supply risks. Four supply chain network topologies have been designed to represent different supply chain strategies: efficient, responsive, risk-hedging, and agile strategies. An agent-based modeling approach is proposed to evaluate the performance of the supply chain network topologies under different demand and supply risk scenarios. From the results, we can identify the effective supply chain network topology to mitigate the disruption for a particular risk scenario.
Key concepts: Supply chain, Supply chain risk management, Network topology, Supply chain network, Service management, Risk analysis (engineering), Supply chain management, Business