Objectives and competences
In the framework of this subject, the students will:
• know warehouse systems and warehouse activity with the emphasis on modern warehousing systems, automation and robotisation of warehouse process,
• know to integrate knowledge of theoretical and numerical models for the design and optimization of warehouse systems,
• know to independently and creatively find solutions in design and optimization of warehouse systems.
Content (Syllabus outline)
Development and importance of warehouses in supply chain.
Material flow; warehouse as a queue system.
Basic warehouse process (receiving, storage, order-picking, sorting, unitizing, packaging, shipping).
Unit loads; pallet, totes, containers.
Systems of discrete and continuous transport in warehouse.
Types of conveyors depending on implementation, working principle, performance, bearing strength, drives.
Types of industrial trucks and cranes depending on implementation, working principle, performance, bearing strength, drives.
Transport vehicles; classical, inductive guided, autonomous.
Warehouse and material handling equipment: systems for storage, order-picking, sorting unitizing, packaging.
Storage and order-picking strategies.
Order-picking system "Picker-to-Parts" and "Parts-to-Picker".
Special designs of order-picking systems (VDI association).
Automated storage and order-picking systems (AVS/RS, SBS/RS, VLM).
Planning and selection and of the order-picking system and route optimization.
Analytical and numerical models for performance analysis of transport and warehouse systems.
Design and optimization of warehouse systems; planning, placement and optimization of warehouse equipment in warehouse.
Planning and preparation of documentation for building warehouse..
Warehouse management systems (WMS).
Safety of employees and cargo in warehousing, internal transport and goods manipulation.
Mobile robots (autonomous or automated-guided vehicles): application of mobile robots in intralogistics, basic configurations, safety laser scanners, review of commercial solutions.
Industrial and collaborative robots: robots in intralogistics, robotic grippers, review of commercial solutions.
Learning and teaching methods
Lectures: Students understand the theoretical frameworks of the course. Part of the lecture course is in a classroom while the rest is in the form of e-learning (e-lectures may be given via video-conferencing or with the help of specially designed e-material in a virtual electronic learning environment).
Tutorials: Students enhance their theoretical knowledge and are able to apply it. Part of the seminar is in a laboratory while the rest is in the form of e-learning (e- tutorials may be given via video-conferencing or with the help of specially designed e-material in a virtual electronic learning environment).
Intended learning outcomes - knowledge and understanding
Upon passing the exam, students will be able to:
• define the meaning of modern warehouse systems in logistics chain,
• use a systems approach in finding solutions of warehouse systems in logistics chain,
• use the modern algorithms for the management and optimization of warehouse systems,
• select and use appropriate models based on scientific literature for planning, design and optimization of order-picking and warehouse systems,
• plan, design and optimize the order-picking and warehouse systems.
Readings
• Lerher, T. (2021). Skladiščno-komisionirni sistemi (1. izd.). Univerzitetna založba. https://doi.org/10.18690/978-961-286-519-1
• Lerher, T. (2022). Avtomatska vozila in mobilni roboti v intralogistiki (1. izd.). Univerzitetna založba. https://doi.org/10.18690/um.fs.3.2022
• Fottner, J., Galka, S., Habenicht, S., Klenk, E., Meinhardt, I., & Schmidt, T. (2022). Planung von innerbetrieblichen Transportsystemen: Fahrzeugsysteme. Springer Vieweg.
• Martin, H. (2021). Technische Transport- und Lagerlogistik. Springer Vieweg.
• Bartholdi, J. J. & Hackman, S. T. (2019). Warehouse and distribution science, Release 0.98.1 The Supply Chain & Logistics Institute, H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology Atlanta, USA.
• Ten Hompel, M., Sadowsky, V., & Beck, M. (2011). Kommissionierung: Materialflusssysteme 2 - Planung und Berechnung der Kommissionierung in der Logistik. Springer.
• Ten Hompel, M., & Schmidt, T. (2010). Warehouse Management: Organisation und Steuerung von Lager- und Kommissioniersystemen (4., neu bearbeitete Aufl.). Springer.
Additional information on implementation and assessment • Successful completion of e-lectures and e-tutorials is a prerequisite for entering the exam.
• Written exam.
• Oral exam.
• Laboratory exercise report.
