Supplier selection and order allocation decisions are the main parties of a supply chain network which has a high impact on the economic performance of this network. This study using an Economic Order Quantity (EOQ) concept proposes an optimization model for the integrated supplier selection and order allocation problem where lot sizing, discounts, and disruptions are contributed. To address the uncertainty, scenario-based stochastic programming is employed to consider both operational and disruption uncertainties. For solving the proposed model, not only the exact solver is employed but also an innovative algorithm based on a hybrid algorithm using Particle Swarm Optimization (PSO) and the Imperialist Competitive Algorithm (ICA) is utilized.
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