Supply Chain Analytics
Geopolitical turbulence has transformed Supply Chain Management from a mere focus on cost-efficiency to permanent structural risk management solutions particularly for complex and large projects.Large and complex projects now require agile networks, proximate sourcing and multi-tiered visibility to survive tariffs, maritime choke points and sanctions.
This course provides insights into Supply Chain Analytics from above emerging business perspectives, leading to the application of analytics to solve real-world supply network management problems.
The objectives of the course are to enable the student to gain knowledge of the
- Understand the “WHY,” “WHERE,” and “HOW” of Analytics in Supply Chain.
- “Why” Analytics has now become imperative for businesses
- “Where” you can apply Analytics
- “How” you can apply Analytics
- Learn how to plan and implement Analytics projects
- Communicate insights effectively to all stakeholders
- Choose the appropriate analytic technique to solve specific business problems
Pre-requisite:
Fundamental knowledge of supply chain management.
At the end of this course, students can:
- Understand the Techniques required for decision-making in supply networks.
- Integrate Knowledge of Metrics and Models and their Implications for supply chain management.
- Plan and Design supply networks.
- Apply Descriptive, Predictive, and Prescriptive analytics in managing supply chains.
Course Content:
Unit 1: Introduction to Supply Chain Analytics (6 Hours)
Understanding the Supply Chain and Processes. Supply Chain Strategy, Key Process Metrics, and Supply Chain Dashboard. Overview of Supply Chain Analytics. Bull-whip effect in the supply chain.
Unit 2: Forecasting and Regression Analytics in Supply Chain (6 Hours)
Use of Simple, Multiple and Logistic Regressions for fact-based decision-making in a supply network for estimating critical parameters like demand, customer credit rating, investment decisions and so on.
Unit 3: Inventory Management in Supply Networks (6 Hours)
Analytics for Inventory Management, taking into account probabilistic demand and planned shortages. Determination of safety stock considering risks and financial implications. Implementation of continuous and periodic review systems for managing stocks. Lot-size determination in a simultaneous consumption and production environment. News Vendor model and its applications in a supply network with special reference to perishable products.
Unit 3: Vendor Management in Supply Chains (6 Hours)
Multi-criteria decision-making techniques (AHP and TOPSIS) for supplier selection and rating. Market Basket Analysis using Association Rule Mining.
Unit 4: Supply Network Planning and Design (6 Hours)
Key factors to be considered when designing a distribution network. Strengths and weaknesses of various distribution options. Analytical approaches for facility location and capacity allocation decisions.
Unit 5: Segmentation, Targeting and Positioning in Supply Network (6 Hours)
Clustering and Classification Techniques covering Decision Trees based on CHAID and CART approaches. Application of these concepts for segmenting a supply network to improve the chain’s overall efficiency.
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