Simio simulation model used for the master thesis titled: Addressing Supply-Side Disruptions: Optimizing Supply Chain Performance through Supplier Selection and Risk Mitigation
doi: 10.4121/a93bcdc7-07ac-4b4d-b60f-dd3b7ce658d8
CC BY-NC-SA 4.0The developed simulation model assesses critical trade-offs in supplier selection and the efficacy of flexibility and redundancy strategies in uncertain supply chains. The model considers three suppliers from two regions, each having distinct characteristics affecting overall reliability. The costs considered are unit costs, contract costs (primary, flexible, and backup), inventory holding costs, and fines for non-delivery. The model aims to track costs and demonstrate how additional costs can enhance supply chain performance through risk mitigation strategies. The Simio model uses various values, including inter-arrival times and order sizes, and resupplies the raw material inventory from three suppliers (πΊ = {1,2,3}) in a specific region (πΉ = {πΈπ’ππππ, π΄π ππ}) with differing contract and unit costs, lead times, reliability, and quality. We implement the model variables in data tables in Simio to enhance the simulation model's generalizability and adaptability for cases requiring precise data input.
Consider reading the readme.txt file for a more detailed description of the model.
- 2023-08-31 first online, published, posted
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