Information Systems in Logistics
ECTS credits: 5
Obtaining knowledge on the application of contemporary information and communication technologies (ICT) for providing support to logistics systems and supply chains. Adopting and applying methods of designing IT systems, process and business data modeling from logistics systems documentation.
Information systems (IS) basics. Relationship between organizational and information system. Information system concepts: data, information, information management, information system, business process, process model and data model. Elementary processes in supply chain and logistics systems. Generic organization model. Information, material, human flows and order flows in logistics system. Methods applied in elementary organizational processes. Information system organization architecture. Information subsystems. Lifecycle of information system development. Elementary entities of logistics system. Modelling of the process in logistic systems and processes. Modelling of data obtained from the process model. Logic organisation of databases for logistic information systems. Obtaining information from the setup data model (data-searching algorithms for a relational database). Organizational possibilities of establishing and implementing information systems in logistics. Resources of information systems and their organizational harmony. Data protection and business continuity with set up and used IS.
General: understanding of basic concepts of organizational and information system. Specific: application of methods for modeling and designing IT systems for logistics processes and systems. Overview of the process model and designing a logic database for a logistics IS.
Having passed the exam, the student will be able to: 1. Explain phases in the development of modern information systems; 2. Independently or in a team perform the analysis of the current and necessary business processes in an actual logistics system. 3. Draw business processes by applying methods of data flowchart. 4. Create a conceptual (ER) data model for logistic IS. 5. Translate a conceptual (ER) data model into a relational model for logistic IS. 6. Analyze the current logistic IS from the aspect of evaluating its modernity and future operation 7. Analyze data security and propose organizational measures of data security in an IS. The aforementioned learning outcomes contribute to the learning outcomes of the study programme: - Explain the properties and functions of a logistics system. - Apply computer support in resolving logistics issues. - Present the analysis results and proposals for resolving logistics issues.