Supply chain management

The aim of the course is to explore key issues related to the design and management of industrial supply chains.

Upon completion of the course, students will be able to: - Describe and explain the basic components of supply chains; - Describe the main functions of supply chains; - Explain basic processes in supply chains; - Describe the performance measurement of supply chains; - Describe strategic, tactical and operational decisions within supply chain management; - Describe the functionality as well as the context of supply chains within Industry 4.0; - State the importance of Internet technology and electronic commerce, in the context of modern supply chains; - Describe algorithms and application of machine learning in supply chain performance optimization; - Explain the roles and application of Bar-code and RFID technologies in tracking goods within supply chains; - Calculate supply chain performance measures, based on costs, revenues and profits; - Describe basic models for inventory optimization, based on stochastic and deterministic methods; - Explain the optimization of inventory models within supply chains, by applying adequate algorithms and software solutions; - Demonstrate simulation methods in supply chain analysis and decision making.

Definition of supply chain; Supply chains and Industry 4.0; Main functions of supply chains; Subsystems and elements of supply chains; Supply chain architecture; Types of supply chains and examples from practice; Business processes in supply chains and the importance of the concept of integrated logistics; Strategic, tactical and operational decisions in supply chain management; Maintaining quality within supply chains; Measuring and optimizing the performance of operations in supply chains; Selection of suppliers and sources of supply; Optimization of the production segment as part of the supply chain; Distributor relationships and supply chain partnership models; Models and optimization of inventory levels in supply chains; Mathematical programming models for supply chain planning; Modeling and optimization of supply chain performance; Linear statistics methods in supply chain optimization (multiple linear regression analysis); Application of machine learning techniques (artificial neural networks and ANFIS methods) in the optimization of supply chains;Description Bar-code and RFID technology and application for tracking inventory levels in supply chains; E-supply chains; E-logistics; E - trade; Information systems to assist and support supply chain management.

Improving the performance of supply chains; Some of the techniques for optimizing supply chains (VMI - Vendor Management Inventory; Application of the software package QM for Windows for optimizing supply chain sequences; Application of software for mathematical modeling and optimization of supply chains; Examples of the application of artificial neural networks - within SPSS and the ANFIS method, within MatLab; Simulation in decision-making within the optimization of supply chains; Examples from the practice of supply chains.

No preconditions required

1. Extracts and materials from lectures and exercises; 2. Software QM for Windows; 3. SPSS software 4. MatLab software

Total assigned hours: 90

New material: 20
Elaboration and examples (recapitulation): 10

Auditory exercises: 15
Laboratory exercises: 0
Calculation tasks: 0
Seminar paper: 25
Project: 0
Consultations: 0
Discussion/workshop: 5
Research study work: 0

Review and grading of calculation tasks: 0
Review and grading of lab reports: 0
Review and grading of seminar papers: 10
Review and grading of the project: 0
Test: 0
Test: 0
Final exam: 5

Activity during lectures: 10
Test/test: 40
Laboratory practice: 0
Calculation tasks: 0
Seminar paper: 20
Project: 0
Final exam: 30
Requirement for taking the exam (required number of points): 30

Material and excerpts from lectures and exercises; Chopra S. and Meindl P., Supply Chain Management, 2nd Edition. Upper Saddle River. NJ: Prentice Hall, 2004; Bloomberg, D.J., Lemay, S., Hanna, J.B., Logistics, Upper Saddle River, New Jersey, Usa: Prentice Hall, 2001