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Objectives and competences

The course Strategic supply chain management with data application enables students to gain an in-depth understanding of efficient inventory and production management in the supply chain. Students develop competencies for independent research in the field of planning and management of flows (goods, information and services) between supply chain members.

Content (Syllabus outline)

1. 1. Designing the Supply Chain Network 2. Inventory management and production planning 3. Coordinating inventory management in the supply chain 4. Production optimization in the supply chain 5. Designing and planning transportation networks 6. Data practicum

Learning and teaching methods

- Interactive lectures with and group discussions. - Practical tutorial based on simulation software. - Independent research and critical study of materials. - Practice of communication skills through presentations.

Intended learning outcomes - knowledge and understanding

Students in this course will: 1. Critically assess and deeply understand inventory and production management in the supply chain. (PILO 2a) 2. Systematically identify and analyse logistic processes by integrating theoretical knowledge and practical examples. (PILO 1a, PILO 2a) 3. Develop the ability to perform in international supply chains. (PILO 2b, PILO 2c) 4. Master methodologies for independent research in the field of supply chain management, including use of simulatuion software. (PILO 3a) 5. Effectively communicate international logistic strategies. (PILO 3b) 6. Apply acquired theoretical knowledge for practical engagement and solving specific challenges in planning of transport solutions. (PILO 3c) 7. Develop skills for independent work and leadership in solving short tasks in teams, improving communication and collaborative abilities. (PILO 3c) 8. Develop and demonstrate ethical decision-making in supply chain management. (PILO 4a) 9. Learn to critically evaluate the impact of supply chains on environment and society. (PILO 4b) The PILO label (i.e., Programme Intended Learning Outcomes) defines the contribution of each listed intended learning outcome of a course towards achieving the general and/or subject-specific competencies or learning outcomes acquired through the programme.

Intended learning outcomes - transferable/key skills and other attributes

Students in this course will: 1. Critically assess and deeply understand inventory and production management in the supply chain. (PILO 2a) 2. Systematically identify and analyse logistic processes by integrating theoretical knowledge and practical examples. (PILO 1a, PILO 2a) 3. Develop the ability to perform in international supply chains. (PILO 2b, PILO 2c) 4. Master methodologies for independent research in the field of supply chain management, including use of simulatuion software. (PILO 3a) 5. Effectively communicate international logistic strategies. (PILO 3b) 6. Apply acquired theoretical knowledge for practical engagement and solving specific challenges in planning of transport solutions. (PILO 3c) 7. Develop skills for independent work and leadership in solving short tasks in teams, improving communication and collaborative abilities. (PILO 3c) 8. Develop and demonstrate ethical decision-making in supply chain management. (PILO 4a) 9. Learn to critically evaluate the impact of supply chains on environment and society. (PILO 4b) The PILO label (i.e., Programme Intended Learning Outcomes) defines the contribution of each listed intended learning outcome of a course towards achieving the general and/or subject-specific competencies or learning outcomes acquired through the programme.

Readings

Temeljna študijska literatura (Compulsory textbooks): 1. Silver, Edward A., Pyke, David F., Thomas, Douglas J. 2017. Inventory and Production Management in Supply Chains. New York: CRC Press. Dodatna študijska literatura (Additional textbooks): 2. Chopra, Sunil, Meindl, Peter. 2019. Supply Chain Management: Strategy, Planning, and Operation. Harlow: Pearson. 3. Vandeput, Nicolas. 2020. Inventory Optimization: Models and Simulations. Berlin: De Gruyter.

  • izr. prof. dr. KLAVDIJ LOGOŽAR, univ. dipl. ekon.

  • Written examination: 50
  • seminar work: 40
  • Active cooperation at lectures: 10

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  • English
  • English

  • ECONOMIC AND BUSINESS SCIENCES (DATA SCIENCE IN BUSINESS) - 1st
  • ECONOMIC AND BUSINESS SCIENCES (DATA SCIENCE IN BUSINESS) - 2nd