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Course Detail

Course Name Logistics
Course Code 26DLS503
Program M. Sc. in Data Science with Logistics and Supply Chain Management
Semester 1
Credits 4
Campus Coimbatore

Syllabus

Unit 1

Logistics: Logistics, SCM & competitive strategy, Competitive advantage, Value chain, Logistics & customer value: Marketing & logistics interface, customer service, out-of-stock, customer retention, customer-service priorities, service standards, market-driven supply chains, Logistics cost: Costing, Cost analysis, Logistics & bottom line, Shareholder value, Profitability analysis, Cost drivers, ABC analysis (20 Hrs)

Unit 2

Matching Supply & Demand: Lead-time gap, Demand forecasting & management, CPFR, Supply Chain fulcrum, Responsive Supply Chain: Push & pull, Agility, Responsiveness, Strategic lead-time management: Lead-time concepts, pipeline management, Risk Management: Developing a risk profile, Managing risk, Achieving supply chain resilience, 3PL to 4PL, Supply Chain Integration: Developing the logistics organization, Logistics as the vehicle of change, Logistics core card . (20 Hrs

Unit 3

Synchronous Supply Chain: Extended enterprise, Virtual supply chain, Bull whip effect, QR logistics, Logistics system dynamics, AI, ML, Data science & block chain for logistics, Globalization: Visibility in the global pipeline, sourcing. Sustainable supply chains: Triple bottom line, Green supply chains and reducing carbon footprint. (20Hrs)

Text Books / References

Text Book 

  1. Martin Christopher, Logistics and Supply Chain Management, Prentice?Hall, 2011.

Reference Books

  1. Donald J. Bowersox & David J. Closs: Logistical Management, Tata McGraw Hill Publishing Co. Ltd, New Delhi, 2004.
  2. Satish C. Ailawadi & Rakesh Singh: Logistics Management, Prentice?Hall of India Pvt Ltd., New Delhi, 2005.
  3. Sunil Chopra, Peter Meindl, ‘Supply Chain Management’, Pearson Education, 2016

Objectives and Outcomes

  Course Outcomes
CO01 Understand various concepts and critical elements in the logistics framework 
CO02 Apply the logistics framework to enable enterprises improve business performance, provide customer value and achieve competitive advantage
CO03 Apply the logistics network to optimize the supply chain and transform them to ICT enabled, green and circular value chains using relevant technology tools and software
CO04 Analyse the logistics distribution systems to reduce the transportation, warehousing and supply chain costs as also address inefficiencies

CO-PO Mapping

  PO1 PO2 PO3 PO4 PO5 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
CO1 3 3 2 2 3 3 3         2 1
CO2 3 3 2 2 3 3 3         2 1
CO3 3 3 2 2 3 3 3         2 2
CO4 3 3 2 2 3 3 3         2 2

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