THE INTELLIGENT SCENARIO SELECTION IN DYNAMIC HOIST SCHEDULING PROBLEM: THE REAL-LIFE ELECTROPLATING LINE CASE
Keywords:hoist scheduling, real-time production systems, flexible manufacturing systems, machine learning
AbstractThe 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.
How to Cite
Kujawski, K., & Świątek, J. (2010). THE INTELLIGENT SCENARIO SELECTION IN DYNAMIC HOIST SCHEDULING PROBLEM: THE REAL-LIFE ELECTROPLATING LINE CASE. Proceedings of the 54th Annual Meeting of the ISSS - 2010, Waterloo, Canada, 54(1). Retrieved from https://journals.isss.org/index.php/proceedings54th/article/view/1371