Objectives and competences
Course objectives are:
• integration of existing and new knowledge on Innovation society’s logistics informatics.
Competences acquired by students:
• service quality analysis of logistics systems and processes,
• synthesis of intelligent logistics systems and solutions.
•
Content (Syllabus outline)
1. Logistic challenges of the Innovation Society: cyber-physical systems (CPS), smart devices and services, eXtended Reality (XR), Internet of Things (IoT), Physical Internet (PhI), Intelligent Logistics Systems (ILS).
2. Service quality (QoS) by design: OPC UA, PhI OSI stack, integrated logistics support in ILS.
3. Digital labs: digitization, knowledge bases, simulations (DES, SD, ABS, NS), multi-level, intra- and inter-organizational decision making.
Learning and teaching methods
Lectures: in the form of consultations represent the foundation of individual research work. During consultations students extend their knowledge with the theoretical fundamentals of the course. Consultations take place live in smaller groups as well as in the form of e-lectures via videoconferencing and dedicated e-classrooms in the e-learning environment.
Intended learning outcomes - transferable/key skills and other attributes
Upon completion of the course a student will be capable of:
• creating a scientific or professional article based on individual research work in the framework of the subject.
Readings
Gumzej, R. (2023). Intelligent logistics systems in E-commerce and transportation. Mathematical biosciences and engineering, 20(2), 2348–2363. http://aimspress.com/article/doi/10.3934/mbe.2023110
Gumzej, R., Rakovska, M. (2020). Simulation Modeling and Analysis for Sustainable Supply Chains. In: Grzybowska, K., Awasthi, A. & Sawhney, R. (Eds.), Sustainable Logistics and Production in Industry 4.0: New Opportunities and Challenges. Springer. https://doi.org/10.1007/978-3-030-33369-0_9
Gumzej, R. (2016). Engineering safe and secure cyber-physical systems: the specification PEARL approach. Springer.
Gumzej, R. (2021). Intelligent logistics systems for smart cities and communities. Springer.
Prerequisits
None in particular.
Additional information on implementation and assessment Method (written or oral exam, coursework, project):
• scientific/professional article 100%
