Free online courseSupply Chain Digitization

Duration of the online course: 31 hours and 55 minutes

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Explore NPTEL's Supply Chain Digitization course to master digital strategies, analytics, and AI/ML applications in supply chain management.

Course Description

The Supply Chain Digitization course by NPTEL offers a comprehensive exploration into the realm of modern supply chain management, where digitization and technological advancements play pivotal roles. This course falls under the Professional courses category and specifically addresses the Logistics and Supply Chain subcategory. Designed to equip students and professionals with the critical knowledge needed to navigate the complexities of supply chain digitization, it offers an in-depth view through detailed lectures and case studies.

The course begins with an overview and introduction to supply chain digitization, setting the stage for the first week, which covers the essentials of supply chain management, supply chain drivers, and processes. It continues in the second week by analyzing supply chain challenges and strategies, differentiating between push and pull approaches, and examining case studies on product and inventory segmentation.

In the third week, the course delves into procurement strategies, including insights on the Make Vs Buy decision and the Kraljic Matrix. The introduction to platform economy in week four paves the way for understanding complex behavioural frameworks and also includes the study of deterministic settings in the Newsvendor Case.

Weeks five through seven engage with predictive analytics using AI/ML, exploring classification tree models, demand forecasting, and regression models, offering learners hands-on experience with Python. By week eight, the focus shifts to supply chain network optimization, where learners explore break-even analysis and facility location strategies using various methodologies.

The course’s ninth and tenth weeks examine distribution center location techniques through clustering algorithms and Distribution Center Efficiency using DEA Models. The curriculum also covers product trackability and integrates ERP and WMS into supply chain operations.

In the final two weeks, students gain insights into the digital twin technology applied to supply chains and explore industry 4.0 topics such as cybersecurity, big data analytics, simulation, cloud computing, and blockchain. These advanced components develop a nuanced understanding of the intersection between advanced technology and efficient, sustainable supply chain management.

This course is an ideal choice for professionals and students aiming to harness the power of digital transformation within the supply chain sector.

Course content

  • Video class: Course Overview - Supply Chain Digitization 17m
  • Exercise: What is the primary focus of Module 2 in the Supply Chain Digitization Course?
  • Video class: Course Introduction - Supply Chain Digitization 03m
  • Video class: Week 01: Lecture 01: Introduction of Supply Chain Management 18m
  • Exercise: What is the primary purpose of a supply chain in business?
  • Video class: Week 01: Lecture 02: Fundamentals of Supply Chain Management 33m
  • Video class: Week 01: Lecture 03: Supply Chain Drivers 33m
  • Exercise: What is a major factor in deciding supply chain responsiveness or efficiency?
  • Video class: Week 01: Lecture 04: Supply Chain Processes - I 26m
  • Video class: Week 01: Lecture 05: Supply Chain Processes - II 35m
  • Exercise: How is inventory turnover ratio calculated?
  • Video class: Week 02: Lecture 06: Supply Chain Challenges 28m
  • Video class: Week 02: Lecture 07: Need/ Strategies 34m
  • Exercise: What is a primary benefit of supply chain segmentation?
  • Video class: Week 02: Lecture 08: Push Vs Pull 34m
  • Video class: Week 02: Lecture 09: Case Study on Product Segmentation 32m
  • Exercise: What approach is used to measure demand variability in supply chain?
  • Video class: Week 02: Lecture 10: Case Study on Inventory Segmentation 30m
  • Video class: Week 03: Lecture 11: Link between Corporate 28m
  • Exercise: What is the primary role of an operation strategy for a firm?
  • Video class: Week 03: Lecture 12: Interface between Operations 39m
  • Video class: Week 03: Lecture 13: Procurement Strategy (Make Vs Buy) 30m
  • Exercise: Which decision must a company make before developing a procurement strategy?
  • Video class: Week 03: Lecture 14: Procurement Strategy (Kraljic Matrix) - I 28m
  • Video class: Week 03: Lecture 15: Procurement Strategy (Kraljic Matrix) - I 31m
  • Exercise: What is the primary focus of calic metrics in procurement strategy?
  • Video class: Week 04: Lecture 16: Introduction to Platform Economy 28m
  • Video class: Week 04: Lecture 17: Introduction to Platform Economy - Example 32m
  • Exercise: What key issue does the platform economy aim to solve in complex supply chains?
  • Video class: Week 04: Lecture 18: Controllability in the behavioural framework and its equivalent conditions 32m
  • Video class: Week 04: Lecture19: Newsvendor Case Example (Deterministic Setting) I 38m
  • Exercise: What is the impact of demand being known with certainty in a decentralized decision-making scenario?
  • Video class: Week 04: Lecture 20: Newsvendor Case Example (Deterministic Setting) I 29m
  • Video class: Week 05: Lecture 21: Newsvendor Case (Probabilistic Setting 27m
  • Exercise: What is the optimal order size for the news vendor in a probabilistic demand setting?
  • Video class: Week 05: Lecture 22: Newsvendor Case (Probabilistic Setting 36m
  • Video class: Week 05: Lecture 23: Channel Structure Designs in Supply Chains (Brick 29m
  • Exercise: What is a primary benefit of a brick and mortar system in supply chains?
  • Video class: Week 05: Lecture 24: Channel Structure Designs in Supply Chains (Dual Channels) 29m
  • Video class: Week 05: Lecture 25: Channel Structure Designs in Supply Chains (Multi 32m
  • Exercise: What is a common behavior in omni-channel retailing?
  • Video class: Week 06: Lecture 26: Introduction to Analytics and Big Data 28m
  • Video class: Week 06: Lecture 27: Different Types of Analytics and its Applications in Supply Chain Management 37m
  • Exercise: What type of analytics focuses on understanding why something happened?
  • Video class: Week 06: Lecture 28: Predictive Analytics: Case Study on Predictive Maintenance 32m
  • Video class: Week 06: Lecture 29: Predictive Analytics: Classification Tree Model 34m
  • Exercise: What is the probability of a machine failing if picked randomly?
  • Video class: Week 06: Lecture 30: Predictive Analytics: Building Classification Tree Model using Python 35m
  • Video class: Week 07: Lecture 31: Role of AI/ML in Forecasting 22m
  • Exercise: Which characteristic of Big Data makes capturing real-time customer orders challenging?
  • Video class: Week 07: Lecture 32: Demand Forecasting using AI/ML: A Case Study 32m
  • Video class: Week 07: Lecture 33: Demand Forecasting using AI/ML: Regression Tree Model 32m
  • Exercise: Predicting Demand Using Regression Tree
  • Video class: Week 07: Lecture 34: Demand Forecasting using AI/ML: Building Regression Tree Model using Python 30m
  • Video class: Week 07: Lecture 35: Demand Forecasting using AI/ML: Random Forest Regression Model 36m
  • Exercise: What is a key benefit of using Random Forest over a single decision tree in predictive modeling?
  • Video class: Week 8: Lecture 36: Supply Chain Network Optimization: Break even analysis 24m
  • Video class: Week 8: Lecture 37: Supply Chain Network Optimization: Facility location using Centre of Gravity 23m
  • Exercise: What method is used for optimizing facility location in supply chain?
  • Video class: Week 8: Lecture 38: Supply Chain Network Optimization: Case on Capacitated Plant Location Model 27m
  • Video class: Week 8: Lecture 39: Case on Supply Chain Network Design - I 24m
  • Exercise: What is the primary goal of heuristic approaches in supply chain network design?
  • Video class: Week 8: Lecture 40: Case on Supply Chain Network Design - II 19m
  • Video class: Week 9: Lecture 41: Location of Distribution Centers using Clustering Technique: A Case Study 28m
  • Exercise: What technique can be used to determine distribution center locations in supply chain digitization?
  • Video class: Week 9: Lecture 42: Steps of building K-Means Clustering Algorithm: A Case Study 33m
  • Video class: Week 9: Lecture 43: Location of Distribution Centers: Building K-Means Clustering Model using Python 31m
  • Exercise: What is the main benefit of using the elbow diagram in K-means clustering?
  • Video class: Week 9: Lecture 44: Measuring Efficiency of Manufacturing Facilities: A DEA Model (I) 31m
  • Video class: Week 9: Lecture 45: Measuring Efficiency of Manufacturing Facilities: A DEA Model (II) 45m
  • Exercise: How can a non-linear programming model for efficiency be converted into a linear one?
  • Video class: Week 10: Lecture 48: Track 34m
  • Video class: Week 10: Lecture 49: ERP, WMS 32m
  • Exercise: What is a key reason for implementing an ERP system in Supply Chain Management?
  • Video class: Week 10: Lecture 50: ERP, WMS 37m
  • Video class: Week 10: Lecture 46: Role of Product Tracking 34m
  • Exercise: What is a key benefit of product tracking and traceability in supply chains?
  • Video class: Week 10: Lecture 47: Track 30m
  • Video class: Week 11: Lecture 51: Introduction to Supply Chain Digital Twin 31m
  • Exercise: What is a supply chain digital twin?
  • Video class: Week 11: Lecture 52: Supply Chain Digital Twin: Greenfield Analysis – A Case Study (I) 28m
  • Video class: Week 11: Lecture 53: Supply Chain Digital Twin: Greenfield Analysis – A Case Study (II) 31m
  • Exercise: What is the main purpose of Greenfield analysis in supply chain management?
  • Video class: Week 11: Lecture 54: Supply Chain Digital Twin: Network Optimization – A Case Study 40m
  • Video class: Week 11: Lecture 55: Network Optimization with Capacity Constraints 41m
  • Exercise: What modification was made to the network optimization model to handle capacity constraints?
  • Video class: Week 12: Lecture 58: Industry 4.0 – Cybersecurity, Big Data Analytics, Simulation, AR, Robots, AM 27m
  • Video class: Week 12: Lecture 57: Industry 4.0 - IIoT, Cloud Computing, Horizontal 32m
  • Exercise: What is one of the primary roles of IoT in Industry 4.0?
  • Video class: Week 12: Lecture 59: Blockchain 28m
  • Video class: Week 12: Lecture 60: Supply Chain and Industry 4.0 29m
  • Exercise: What is one benefit of implementing Robotic Process Automation (RPA) in procurement?
  • Video class: Week 12: Lecture 56: Digital Infrastructure for Supply Chains: Industry 4.0 36m

This free course includes:

31 hours and 55 minutes of online video course

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Exercises to train your knowledge

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