Module 2: Information Management
Course Description:
This course provides an overview of both traditional and recent technologies as possibilities and economic drivers for (or against) the successful application of information technology in logistics networks.
Contents
- Introduction to Logistics Information Systems (LIS)
Determinants of the IT systems, LIS concepts and architecture for knowledge discovery in databases. Issues related to the use of database management systems in data mining and operations carried out during data preprocessing.
- Major Components of Logistics Information Systems
Relationships among data warehousing, OLAP, and data processing.
Enterprise resource planning (ERP), RFID systems, Advanced Planning and Optimization software, the role of collaborative planning, forecasting and replenishment (CPFR), labelling and packaging technologies.
- Strategies for Implementing Data Mining to Enhance Logistics Intelligence
Articulating data mining problems with logistics problems or objectives. Handling the critical steps required for success in logistics knowledge discovery tasks. Evaluating logistics operations and enhancing the efficiency of logistics operations using suitable tools.
- New trends in information technology
Virtualization, big data, cloud computing, IoT, additive manufacturing, augmented reality. Value created by IT, risks and dark side of the new technologies. How digital firms, e-business, e-commerce, Wireless, Mobile Computing, and Mobile Commerce effects logistics sector?
- Information Technologies Service Management (ITSM)
Basic concepts, introduction to Information Systems Outsourcing Management