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Business Analytics in Supply Chain Management

2020/2021
Учебный год
ENG
Обучение ведется на английском языке
5
Кредиты
Статус:
Курс по выбору
Когда читается:
2-й курс, 1, 2 модуль

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

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

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

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
Assessment Elements

Assessment Elements

  • non-blocking Report/presentation
  • non-blocking In-class Participation
  • non-blocking Exam
Interim Assessment

Interim Assessment

  • Interim assessment (2 module)
    0.4 * Exam + 0.6 * In-class Participation
Bibliography

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