Business Dynamics
Fundamentals of Computational Swarm Intelligence
Fundamentals of Computational Swarm Intelligence
Optimization of the multiple retailer supply chain management problem
Proceedings of the 46th Annual Southeast Regional Conference on XX
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We propose and demonstrate a new methodology to stabilize systems with complex dynamics like the supply chain. This method is based on the accumulated deviations from equilibrium (ADE). It is most beneficial for controlling system dynamic models characterized by multiple types of delays, many interacting variables, and feedback processes. We employ the classical version of particle swarm optimization as the optimization approach due to its performance inmultidimensional space, stochastic properties, and global reach. We demonstrate the effectiveness of our method based on ADE using a manufacturing-supply-chain case study.