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Regular version of the site

Business Analytics in Supply Chain Management

2021/2022
Academic Year
ENG
Instruction in English
5
ECTS credits
Course type:
Elective course
When:
2 year, 1, 2 module

Instructor


Ивакина Анастасия Александровна

Course Syllabus

Abstract

Nowadays businesses are run in global environments: operations, financial transactions, and supply chains are managed 24 hours a day all over the world. To this end the role of Business Analytics could not be underestimatedanylonger.BusinessIntelligenceisthemajorfacilitatorfor business efficiency and development. High level competence and professional communication in the sphere of Business Analytics is a key to successful deployment and utilization of state-of-art ITtechnologies. Course is intended to introduce current Business Analysis trends in SCM to future managers and develop practical skills in the field of decision support technologies At the end of the course student will be able to... Understand the fundamental concepts of Business Analytics in Supply Chain Management. Demonstrate deep knowledge and critical understanding of theories, principles, concepts and methodologies in SC Business Analysis. Use strong analytical skills and apply them to solve practical problems Examine and critically appraise research methods and tools relevant for research in Business Analysis. Plan and perform an independent research project in the area of SC BA. Developman awareness of the impact of contemporary ICT on SCM development.
Learning Objectives

Learning Objectives

  • to give students an overview of supply chain management and supply chain analytics essentials
  • teach them to apply this knowledge into practice through group and individual presentations preparation and defense
Expected Learning Outcomes

Expected Learning Outcomes

  • apply different analytical tools to different decision situations in supply chain management context
  • elaborate on the roles of supply chain management for organizations
  • navigate the structure and content of scientific articles from supply chain management and supply chain analytics research
  • reflect on the emergent and distributed aspects of various supply chain management practices
  • understand analytical instruments as means to cope with complexity and uncertainty
Course Contents

Course Contents

  • SCM Principles
  • Management capability
  • Learning capability
  • Planning and procurement
  • Manufacturing and Service operations
  • Warehousing operations
  • Transportation operations
  • Product Flow Management
  • Information Flow Management
  • Financial Flow Management
  • SCM and Analytics Essentials
  • Supply Chain Pain Points and How Analytics May Relieve Them
  • Demand Analytics
  • Inventory Analytics
  • Supply Chain Analytics
Assessment Elements

Assessment Elements

  • non-blocking individual assessments
  • non-blocking group assessments (discussion impulse, quizzes)
  • non-blocking Exam (presentation, group assessment)
Interim Assessment

Interim Assessment

  • 2021/2022 2nd module
    0.3 * Exam (presentation, group assessment) + 0.5 * group assessments (discussion impulse, quizzes) + 0.2 * individual assessments
Bibliography

Bibliography

Recommended Core Bibliography

  • Michael H. Hugos. (2018). Essentials of Supply Chain Management: Vol. Fourth Edition. Wiley.

Recommended Additional Bibliography

  • Peter W. Robertson. (2020). Supply Chain Analytics : Using Data to Optimise Supply Chain Processes. Routledge.