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Supply Chain Analytics

Team EveryEng

Team EveryEng

Mechanical Engineering

Rating 4 (1419)
Course typeWatch to learn anytime
Duration 1274 Min
Start Access anytime
Language English
Views628

FREE

1 already enrolled!

Supply Chain Analytics banner
Preview this course

Supply Chain Analytics

Why enroll

Participants join this course to understand how data analytics can improve supply chain performance and decision-making. It helps them learn practical techniques for analyzing supply chain data and identifying opportunities to reduce costs and increase efficiency. The course also provides valuable skills in data visualization and predictive analysis that are widely used in modern industries. By gaining these skills, participants can enhance their career opportunities in supply chain management and data-driven business operations.

Opportunities that awaits you!

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Career opportunities

Course content

The course is readily available, allowing learners to start and complete it at their own pace.

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Supply Chain Analytics

40 Lectures

1274 min

  • Introduction to Supply Chain Management

    Preview icon

    Preview

    30 min

  • Evolution of Supply Chain Management

    31 min

  • Analytics in Supply Chain Management

    34 min

  • Supply Chain Planning

    29 min

  • Different views of Supply Chain

    34 min

  • Supply Chain Strategy

    29 min

  • Supply Chain Drivers

    30 min

  • Developing Supply Chain Strategy

    31 min

  • Strategic Fit in Supply Chain

    33 min

  • Demand Forecasting in Supply Chain

    32 min

  • Bullwhip Effect and Time Series Analytics

    32 min

  • Exponential Smoothing Method of forecasting

    30 min

  • Measures of Forecasting Errors

    30 min

  • Tracking Signal and Seasonality Models

    31 min

  • Forecasting using multiple characteristics in Demand Data and Inventory Management in Supply Chain

    31 min

  • Inventory Management in Supply Chain

    33 min

  • Multi echelon Inventory Management

    34 min

  • Multi echelon Inventory Management (Continued)

    30 min

  • Multi echelon Inventory Management for four stations

    32 min

  • Multi echelon Inventory Management for four stations (Numerical Example)

    31 min

  • Multi echelon Inventory Management for four stations (Numerical Example continued)

    34 min

  • Network Design in Supply Chain

    31 min

  • Network Design of Global Supply Chain

    32 min

  • Alternative channels of Distribution

    31 min

  • Location Decisions in Supply Chain

    35 min

  • Network Optimization Models

    30 min

  • Using Excel Solver for Network Optimization

    36 min

  • Uncertainty in Network Design

    32 min

  • Network Design in Uncertain Environment and Flexibility

    31 min

  • Flexibility in Supply Chain

    29 min

  • Optimal Level of Product Availability in Supply chain

    34 min

  • Time Value of money in Supply Chain

    29 min

  • Different types of Analytics in Supply Chain

    33 min

  • Predictive Modelling in Forecasting in Supply Chain

    35 min

  • Representation on Uncertainty in Supply Chain

    31 min

  • Example of using Decision Tree incorporating Uncertainty in Single Factor

    30 min

  • Using Decision Tree for handling Uncertainty

    32 min

  • Example of using Decision Tree incorporating Uncertainty in two Key Factors

    33 min

  • Modelling Flexibility in Supply Chain

    36 min

  • Trends, Challenges and Future of Supply Chain

    33 min

Course details

This course focuses on how data analytics can be used to improve supply chain operations and support better business decisions. Participants will learn how to collect, analyze, and interpret supply chain data to identify patterns and trends. The course introduces important techniques such as data analysis, visualization, and predictive modeling. Learners will explore how analytics can help reduce costs, improve efficiency, and optimize inventory management. It also covers demand forecasting and performance monitoring using real data insights. Participants will gain practical knowledge on using data to solve supply chain challenges. The course explains how data-driven decisions can enhance logistics, procurement, and distribution processes. Simple analytical tools and techniques will be demonstrated for real-world applications. By the end of the course, learners will understand how to transform raw data into meaningful insights. This helps organizations make smarter decisions and achieve sustainable business growth.

Source: Supply Chain Analytics (YouTube Channel)
Dr. Rajat Agrawal, Dept. of Management Studies, IIT Roorkee

Course suitable for

  • Aerospace
  • Rail & Transport
  • Data Science & Analysis
  • Mechanical

Key topics covered

  • Analyze supply chain data for informed decisions

  • Apply data visualization and predictive analytics techniques

  • Optimize supply chain design and operations

  • Implement data-driven decision-making practices

FREE

Access anytime