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Rutgers University

Supply Chain Analytics

Rutgers University via Coursera

Overview

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Welcome to Supply Chain Analytics — the art and science of designing and optimizing supply chains using data analytics. A supply chain is a complex system with conflicting objectives of cost efficiency and customer satisfaction. Supply chain management is becoming increasingly data-driven. Through the real-life story and data of a major U.S. telecommunications company, you will learn the analytics tools and skills needed to design and optimize a supply chain. Upon completion of this course, you will be able to: 1. Use data analytics to assess the impact of various strategies across all aspects of a supply chain — from inventory, shipping to warehouse order fulfillment and store operations. 2. Customize supply chain strategy by product to improve overall cost efficiency without sacrificing customer service. 3. Gain hands-on experiences on the application of data analytics to the integrated supply chain and logistics planning. VASTA (name disguised) is a major U.S. wireless carrier that distributes and sells phones through a large national network of retail stores. In recent years, the company has written off large volumes of obsolete inventory annually, driving significant cost inefficiencies in an increasingly stagnant and saturated market. To remain competitive, VASTA must reassess its competitive position and redesign its supply chain. By the end of this course, you will have developed strategies to help VASTA save billions of dollars in supply chain costs and defend its market leadership. I hope you enjoy the course!

Syllabus

  • Welcome!
    • Welcome to Supply Chain Analytics! In this week, I shall first tell you the story of VASTA and the challenge it faces, then provide an overview of the course, learning outcomes and weekly topics. You will then learn competitive analysis and benchmarking to assess a firm’s competitive environment and identify the business opportunity.
  • General Principles and Intuition
    • In Week 2, you will understand the general principles of supply chain planning, and develop intuitions on the benefits and concerns of the push / pull strategies. The intuitions and insights will guide you in the quantitative supply chain analysis in Week 3.
  • Data Collection, Cost Estimation and Supply Chain Analytics
    • In Week 3, you will learn what data to collect, how to estimate various types of costs, and how to use data analysis to assess the impact of various strategies on different aspects of a supply chain.
  • Customer Experience, Implementation and Project
    • In Week 4, you will learn how to assess the impact of the strategies on customer experience. You will get hands-on experience on the implementation and financial impact of supply chain analytics in a real-life example. You will complete this course by conducting a project to analyze the geographic difference for the strategies.

Taught by

Yao Zhao

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