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Overview

Use of information and data analytical tools help managers to more efficiently and effectively design and manage their supply chains by making informed decisions regarding sourcing, warehousing, production and capacity management, distribution network design, transportation and risk analysis. This topic is designed to help graduates to develop skills for generating … For more content click the Read More button below.

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Tuition pattern

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Aims

This topic aims to provide students with knowledge and skills to analyse the typical decision problems involved in the major domains of supply chain and help them to master the analytical tools, techniques and methods which can be utilised to solve those problems.

Learning outcomes

On completion of this topic you will be expected to be able to:
1.
Explain the fundamental perspectives of supply chain analytics and how digitalisation may influence supply chain management
2.
Explain the applications of data analytics along the Supply Chain Operations Reference (SCOR) model domains
3.
Formulate the analytical models along the SCOR model domain areas (demand forecasting, supplier selection, inventory management, production and capacity planning, transportation problems, and distribution network design)
4.
Effectively use supply chain analytics techniques with computing packages such as Excel

Assessments

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Requisites information

Pre-requisites: