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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

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

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

Course Contents

  • SCM Principles
    1) Core concepts 2) What is Supply Chain Management 3) What is Value Chain 4) Focal Company in Supply Chain Management 5) Value Life Cycle
  • Management capability
    1) Management Capability 2) Controllability versus Flexibility 3) Tradeoff between Capabilities 4) Integrating Capability 5) Dynamic Changes of Capability 6) Chain of Capability
  • Learning capability
    1) Learning Capability - Basic Definition 2) Learning Capability - Dynamic Perspective 3) Learning Capability - 3 Examples 4) Cause-and-Effect Analysis 5) Single-loop and Double-loop Learning 6) Learning Dynamics - Learning Propensity Model 7) Learning Organization for SCM
  • Planning and procurement
    1) Integrated Business Planning 2) Sales and Operations Planning 3) Demand Forecasting 4) Replenishment Planning 5) Procurement Overview 6) Strategic Sourcing 7) Supplier Management 8) Transaction Execution
  • Manufacturing and Service operations
    1) Manufacturing Overview 2) Manufacturing Processes 3) Strategic Decisions 4) Manufacturing Planning Control 5) Operational Improvement 6) Manufacturing Systems 7) Performance Metrics 8) Maintenance Operation
  • Warehousing operations
    1) Warehousing Operations 2) Strategic Warehouse 3) Values-Add Roles of Warehouses 4) Receiving 5) Storage 6) Picking & Packing Operations 7) Shipment 8) Warehouse Management Systems
  • Transportation operations
    1) Transportation Overview 2) Transportation Technology 3) Over the Road Freight 4) Railroad Freight Movement 5) Water Transport 6) Air Transport 7) Pipeline Transportation 8) Intermodal Transportation 9) Comparison of Transportation Modes
  • Product Flow Management
    1) How do products flow in Supply Chain? 2) Product Flow goals - efficiency, flexibility, resiliency 3) Lean Principles Overview 4) The Seven Wastes 5) Just-in-Time 6) Jidoka (error proofing) 7) The Agile Supply Chain 8) Implement Agility 9) Agile versus Efficient 10) The Resilient Supply Chain 11) Supply Chain Risk Factors 12) Risk vs. Efficiency, can we afford it?
  • Information Flow Management
    1) Information Flow in the Supply Chain 2) Local Information Systems 3) Internal Information Systems 4) External Information Systems 5) Blockchain 6) Supply Chain Applications of Blockchain 7) The Next Frontier in Technology 8) AI Background 9) ML Background 10) The Future of AI & ML
  • Financial Flow Management
    1) Managing Financial Flow 2) What is Financial Flow? 3) Supply Chain Financing 4) Financial Statements 5) The Balance Sheet 6) The Income Statement 7) The Cash Flow Statement 8) The Cash Conversion Cycle 9) Calculate the CCC 10) CCC Benchmarking
  • SCM and Analytics Essentials
    1) Analytics Is Critical To Supply Chain Management: 3 real-life examples 2) Supply Chain Domains
  • Supply Chain Pain Points and How Analytics May Relieve Them
    1) Demand Planning 2) Product Selection, Pricing & Promotion 3) Fulfillment Diagnostics 4) Distribution & Logistics Planning 5) Transportation Management 6) Production Planning, Workforce Management 7) Inventory Management 8) Strategic Sourcing, Supplier Management 9) Order Management
  • Demand Analytics
    1) Predicting trend 2) Predicting the impact of price and other environmental factors 3) Predicting seasonality
  • Inventory Analytics
    1) Assessing industries by inventory over total asset 2) Assessing industries by inventory turns and days 3) How May Inventory Drive Financials and How to Discover Inventory Problems? 4) Classifying inventory 5) ABC Analysis by Excel 6) Managing inventory by class or type 7) Inventory Management in Practice
  • Supply Chain Analytics
    1) Competitive Analysis and Benchmarking 2) Drivers and Trade-offs in Supply Chain Planning 3) Intuition of Pull vs Push Strategies 4) Inventory & Shipping Cost Estimates 5) Warehouse Pick / Pack Cost Estimate, Sales and Inventory Data 6) Supply Chain Analytics I: Hot-Smart & Hot-Feature 7) Supply Chain Analytics II: Cold-Smart, Cold-Feature & Net Impact
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

  • Interim assessment (2 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.