Master
2020/2021
Business Analytics in Supply Chain Management
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type:
Elective course (Strategic Management in Logistics)
Area of studies:
Management
Delivered by:
Department of Logistics and Supply Chain Management
When:
2 year, 1, 2 module
Mode of studies:
distance learning
Instructors:
Бернадский Игорь Эльмарович
Master’s programme:
Strategic Management in Logistics
Language:
English
ECTS credits:
5
Contact hours:
20
Course Syllabus
Abstract
The course is aimed on developing students’ analytical thinking and decision-making skills related to the physical logistics’ management. Highlighted topics will represent ways of improving supply chain business-processes by using data cross-functionally and building decision-support models.
Learning Objectives
- The purpose of the course is to familiarize students with practical problems in managing the distribution network on various steps of the distribution chain
Expected Learning Outcomes
- 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
Course Contents
- 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
Bibliography
Recommended Core Bibliography
- 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
Recommended Additional Bibliography
- 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