6 - Introduction to Operations Research Contents: 1. Strategic logistics planning 2. Business Intelligence 3. Business Analytics 4. Decision Support Systems 5. Knowledge Based Engineering Competences: 1. Understanding of the key concepts of operations research in logistics. 2. Understanding the concepts of Six-sigma and their application in strategic logistics planning. 3. Understanding the role of business intelligence in business analytics, decision support systems and knowledge based engineering. Skills: 1. Application of concepts of business analytics in demand management. 2. Application of concepts of multi-criteria decision making in decision support systems. 3. Application of concepts of knowledge based engineering in knowledge management systems. Goals: 1. Application of business intelligence to multi-level strategic decision making in logistics. Literature: AIMS (2021). SCOR - Supply Chain Operations Model. [available at: https://aims.education/study-online/supply-chain-operations-reference-model-scor/ , access June 20, 2023] Ciampa, D. (1992). Total Quality: A User's Guide for Implementation, Addison-Wesley. Britannica, T. Editors of Encyclopaedia (2023). Just-in-time manufacturing, Encyclopedia Britannica. [available at: https://www.britannica.com/topic/just-in-time-manufacturing , access June 20, 2023] Tennant, G. (2001). SIX SIGMA: SPC and TQM in Manufacturing and Services, Gower Publishing, Ltd. Wheat B. & Mills C. & Carnell M. (2003). Leaning into Six Sigma: a parable of the journey to Six Sigma and a lean enterprise, McGraw-Hill. Tague, N.R. (2005). Plan–Do–Study–Act cycle, The quality toolbox (2nd ed.), ASQ Quality Press, pp. 390–392. Chowdhury, S. (2002). Design for Six Sigma: The revolutionary process for achieving extraordinary profits, Prentice Hall, Ueda, M. (2010). How to Market OR/MS Decision Support. International Journal of Applied Logistics (IJAL), 1(2), 23-36. Tableau (2023). Comparing Business Intelligence, Business Analytics and Data Analytics. [Available from: https://www.tableau.com/learn/articles/business-intelligence/bi-business-analytics , access June 20, 2023] Prasad, B. (2005). Knowledge Technology, What Distinguishes KBE From Automation. COE NewsNet – June 2005. [available at:  https://web.archive.org/web/20120324223130/http://legacy.coe.org/newsnet/Jun05/knowledge.cfm , access June 20, 2023] Robinson, S. (2004). Simulation: The Practice of Model Development and Use, Wiley.​ Gumzej, R., Kramberger, T., Dujak, D. (2023). A knowledge base for strategic logistics planning. In: Dujak, Davor (edt.). Proceedings of the 23rd International Scientific Conference Business Logistics in Modern Management : October 5-6, 2023, Osijek, Croatia. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business, pp. 317-330, illustr. Business logistics in modern management (Online). ISSN 1849-6148. https://blmm-conference.com/past-issues/. Andersson, P. & Larsson, T. & Ola, I. (2011). A case study of how knowledge based engineering tools support experience re-use. In Research into Design – Supporting Sustainable Product Development, Chakrabarti, A. (Edt.), Research Publishing, Indian Institute of Science, Bangalore, India.