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  3. Supply Chain Analytics

Supply Chain Analytics (BUSA90521)

Graduate courseworkPoints: 12.5Not available in 2019

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Overview

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Rapid advancements in technology (particularly the internet), combined with fast and cheap computing power, have enabled firms to radically transform their industries by developing business models and reengineering their supply chains. This subject provides students with the ability to use appropriate tools and techniques to analyse strategic, tactical and operational decisions pertaining to inventory management, facility location, logistics and other supply chain management related decisions. In addition, students will be exposed to how real-world logistics and supply chain decisions have been made through relevant case studies.

Intended learning outcomes

On completion of this subject, students should be able to:

  • Understand supply chain management metrics commonly used.
  • Model the impact of quantity discounts and other trade promotions on order quantities.
  • Balance the appropriate costs to choose the optimal ordering policies in a supply chain.
  • Determine the level of safety inventory to achieve desired levels of product availability.
  • Use managerial levers that improve supply chain profitability through the achievement of optimal service levels.
  • Develop appropriate supply chain contracts that will increase the overall supply chain profitability through improved coordination.
  • Evaluate various transportation network design options on their relative strengths and weaknesses and make the right choice.
  • Use optimisation for facility location and capacity allocation decisions.
  • Explore how demand can be adjusted to match supply using revenue management techniques.
  • Devise strategies based on the concept of risk pooling to mitigate the consequences of uncertainty.

Generic skills

  • High level of development: problem solving; statistical reasoning; application of theory to practice; interpretation and analysis; synthesis of data and other information; evaluation of data and other information; use of computer software; accessing data and other information from a range of sources.
  • Moderate level of development: written communication; critical thinking; receptiveness to alternative ideas.
  • Some level of development: collaborative learning; team work

Last updated: 3 November 2022