THE INTELLIGENT SCENARIO SELECTION IN DYNAMIC HOIST SCHEDULING PROBLEM: THE REAL-LIFE ELECTROPLATING LINE CASE

Krzysztof Kujawski, Jerzy Świątek

Abstract


The paper presents a scheduling system which was designed for a electroplating production line. The system allows flexible production, in the real time environment. The number of transport hoists is routed as well as chemical and material treatment processing stations are scheduled in order to create a functional production line. The expert knowledge is used for preparation of production scenarios. The system manages to create schedules in the real time because of using machine-learning methods to identify production system state and support the decisive process of scenario selection. The Intelligent Scenario Selection Method is used on the real-life production line located in Wrocław, Poland. The paper presents issues that occur on analyzed line and the results achieved by using The Intelligent Scenario Selection Method.

Keywords


hoist scheduling, real-time production systems, flexible manufacturing systems, machine learning

Full Text:

PDF