Business Analytics in Supply Chain Management
- The purpose of the course is to familiarize students with practical problems in managing the distribution network on various steps of the distribution chain
- Develop analytical thinking and skill in reporting outcomes of the business research effectively in oral form
- Plan and perform independent research projects in physical logistics applying the advanced concepts of supply chain management
- – Understand the challenges of uncertain economic environment in order to suggest innovative approach in supply chain management and offering non-standard solutions to the problems
- Give quantitative evaluation for challenges in supply chain management in a situation of uncertainty
- Lean instruments in logistics management. Cost Loss Tree for physical logistics
- Using GPS data to improve distribution. Optimization of the company’s yard management.
- Intersection of marketing/sales and logistics. Road-to-Market definition.
- Planning the limited shelf life products distribution.
- Communication with logistics providers. 3PL rates determination basing on a variety of factors
- Marcos Paulo Valadares de Oliveira, & Robert Handfield. (2019). Analytical foundations for development of real-time supply chain capabilities. International Journal of Production Research, 5, 1571. https://doi.org/10.1080/00207543.2018.1493240
- Vidgen, R., Shaw, S., & Grant, D. G. (2017). Management challenges in creating value from business analytics. https://doi.org/10.1016/j.ejor.2017.02.023
- Gunasekaran, A., Yusuf, Y., Adeleye, E. O., & Papadopoulos, T. (2017). Agile manufacturing practices: the role of big data and business analytics with multiple case studies. https://doi.org/10.1080/00207543.2017.1395488
- Mohammad Daneshvar Kakhki, & Vidyaranya B. Gargeya. (2019). Information systems for supply chain management: a systematic literature analysis. International Journal of Production Research, 15–16, 5318. https://doi.org/10.1080/00207543.2019.1570376