Verification validation and accreditation of simulation models
Proceedings of the 29th conference on Winter simulation
Supply chain modeling: past, present and future
Computers and Industrial Engineering - Supply chain management
Simulation with Arena
Proceedings of the 35th conference on Winter simulation: driving innovation
An advanced supply chain management tool based on modeling and simulation
Computers and Industrial Engineering
Computers and Industrial Engineering
Supply chain modeling in uncertain environment with bi-objective approach
Computers and Industrial Engineering
Robust supply chain design under uncertain demand in agile manufacturing
Computers and Operations Research
Computers and Industrial Engineering
On ordering adjustment policy under rolling forecast in supply chain planning
Computers and Industrial Engineering
Analysis on the effects of stock sharing on supply chain
Computers and Industrial Engineering
Super facilities versus chaining in mitigating disruptions impacts
Computers and Industrial Engineering
Resilient closed-loop supply chain network design based on patent protection
International Journal of Computer Applications in Technology
Survey: A review on simulation models applied to emergency medical service operations
Computers and Industrial Engineering
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Supply chains are facing numerous changes that are contributing to increasing their complexity and vulnerability to disturbances, therefore, to survive, supply chains must be resilient. The paper presents a supply chain simulation study for a real case concerned with the Portuguese automotive supply chain. The subset automotive supply chain involved in the case study is a three-echelon supply chain, composed by one automaker, two 1st-tier suppliers, two 2nd-tier suppliers, and one outsource entity. The purpose of the study is to evaluate alternative supply chain scenarios for improving supply chain resilience to a disturbance and understanding how mitigation strategies affect each supply chain entity performance. Two strategies widely used to mitigate disturbance negative effects on supply chains were considered and six scenarios were designed. The scenarios differ in terms of presence or absence of a disturbance in one hand and presence or absence of a mitigation strategy in other hand. To evaluate the scenarios designed, two performance measures were defined per supply chain entity, Lead Time Ratio and Total Cost.