Simio simulation model used for the master thesis titled: Addressing Supply-Side Disruptions: Optimizing Supply Chain Performance through Supplier Selection and Risk Mitigation

The 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 (𝑺 = {1,2,3}) in a specific region (𝑹 = {𝐸𝑢𝑟𝑜𝑝𝑒, 𝐴𝑠𝑖𝑎}) 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.

本研究开发的仿真模型可评估不确定供应链中供应商选择的关键权衡关系，以及柔性与冗余策略的有效性。该模型纳入来自两个区域的三家供应商，每家供应商均具备影响供应链整体可靠性的独特属性。考量的成本维度包括单位成本、合同成本（分为主合同、柔性合同与备用合同三类）、库存持有成本以及未交货罚金。本模型旨在追踪成本变动，并展示通过风险缓释策略，额外投入的成本如何优化供应链整体表现。本Simio仿真模型采用多种参数值，包括物料到达间隔时长与订单批量，并从区域集合𝑹={欧洲、亚洲}内的供应商集合𝑺={1,2,3}补货原材料库存，这些供应商的合同与单位成本、提前期、可靠性及质量水平均存在差异。我们通过Simio中的数据表对模型变量进行配置，以提升该仿真模型在需要精准数据输入的场景下的可推广性与适配性。若需了解该模型的详细说明，请参阅readme.txt文件。