Author, institution: Vytautas Janilionis, Kaunas University of Technology
Science area, field: Technological Sciences, Transport Engineering
The doctoral dissertation is available at the library of Kaunas University of Technology (K. Donelaičio St. 20, 44239 Kaunas, Lithuania).
Scientific Supervisor:
Prof. Dr. Žilvinas BAZARAS (Kaunas University of Technology, Technological Sciences, Transport Engineering – 03T).
Dissertation Defence Board of Transport Engineering Science Field:
Prof. Dr. Habil. Algimantas FEDARAVIČIUS (Kaunas University of Technology, Technological Sciences, Transport Engineering – 03T) – chairman;
Prof. Dr. Robertas ALZBUTAS (Lithuanian Energy Institute, Technological Sciences, Energetics and Power Engineering – 06T);
Prof. Dr. Habil. Marijonas BOGDEVIČIUS (Vilnius Gediminas Technical University, Transport Engineering – 03T);
Prof. Dr. Artūras KERŠYS (Kaunas University of Technology, Technological Sciences, Transport Engineering – 03T);
Prof. Dr. Habil. Vytautas OSTAŠEVIČIUS (Kaunas University of Technology, Technological Sciences, Mechanical Engineering – 09T).
Official opponents:
Prof. Dr. Olegas PRENTKOVSKIS (Vilnius Gediminas Technical University, Technological Sciences, Transport Engineering – 03T);
Dr. Rolanas DAUKŠEVIČIUS (Kaunas University of Technology, Technological Sciences, Mechanical Engineering – 09T).
Annotation:
In the modern logistics centres, the qualitative and quantitative requirements for the load processing are constantly increasing and significantly influence the order picking process – the most complex and important process in the warehouse, which requires 55% of the total management costs. The order picking systems require continuous improvement and it was proposed to use the automated transportation systems to increase their performance. Automated systems allow to change the product flow direction in the warehouse by applying “Goods To Person” type systems, where the product loads are automatically transported from the storage to the order picking stations. Despite many advantages of such systems, they lack flexibility and have various limitations, which have a negative impact on their performance and require structure and control design improvements. A new concept of automated cylindrical storage and retrieval system (C-AS/RS) is proposed in this research, which improves the automated transportation system and increases the performance of the automated “Goods to Person” order picking system. The C-AS/RS structure, control algorithms, performance measures and integration methodology into automated transportation systems were developed together with analysis models, which allow to evaluate system performance and identify optimal parameter values. The analysis models were used to evaluate dependencies of the improved automated transportation system performance measures on the structure and control parameters and the impact of C-AS/RS integration into automated “Goods to Person” order picking system.
