Intelligent Scenario Selection in Dynamic Hoist Scheduling Problem: The Real-Life Electroplating Production Line Case Analysis

摘要

The paper describes a conducted research in order to create the scheduling system for electroplating lines. We are interested in an order driven production organization. This type of production requires scheduling in the real-time. In order to avoid costly scheduling, we prepare a set of production scenarios. We use recognition methods to select the most appropriate scenario. Selected scenarios are parameters to a heuristic scheduling algorithm called cyclogram unfolding. We present the short problem notion and algorithm steps. The real-life production line located at Wroclaw, Poland is used to explain the algorithm step by step. We analyze the results for historical runs and generated problems.