Overview

Harnessing Data to Optimise Supply Chain Processes

Supply chain analytics is a powerful tool for businesses. It allows organisations to gain insights into the whole supply chain, from sourcing to delivery, and to optimise their demand management and forecasting processes. Add value to your supply chain operations with the SCHSBM’s Supply Chain Analytics Professional Certificate and learn how to apply supply chain analytics and innovative technologies to improve your supply chain performance. Through practical training in supply chain analytics, you will learn how to mitigate risks and avoid disruptions that may affect your organisation’s performance.

In this programme you will also explore how supply chain analytics can help businesses to reduce costs and environmental impacts by preventing overproduction and excess inventories. To avoid these issues, you will learn how to identify and eliminate bottlenecks, redundancies, and waste that may slow down or increase the cost of your operations to achieve optimal performance and customer satisfaction. Moreover, you will discover how to apply data analysis tools and modelling techniques to optimise various aspects of your supply chain, including inventory, transportation, sourcing, and demand planning. This Professional Certificate will arm you with the skills needed to succeed in the dynamic and competitive field of supply chain management.

Programme Goals

The goals of the programme are to:

• Use analytical tools and techniques to support assessment, planning and decision making in managing operations and supply chains.
•  Harness your supply chain efficiency.
•  Enhance your overall supply chain visibility.
•  Drive more effective demand planning and forecasting.

Learning Objectives

On completion of the programme, leaders will be able to:

• Discuss the role of supply chain analytics in improving an organisation’s operational efficiency.
•  Perform practical quantitative analyses related to operations and supply chain management.
•  Visualise supply chain data in order to collect, analyse and prepare your data.
•  Apply supply chain analytics to reduce inventory costs and waste.
•  Optimise your organisation’s supply chain using high-powered data analytics tools.
•  Use various analytic models to forecast future demand and improve accuracy in your supply chain planning.
•  Present supply chain data to internal and external stakeholders using persuasive data storytelling techniques.
•  Transform your supply chain data into informed data-driven decisions.

Programme Curriculum

• Module 1: Analytics for Supply Chain
  •  The Role of Analytics in Supply Chain
  •  Supply Chain Performance, Drivers and Metrics
  •  Understanding the Customer and Supply Chain Uncertainty
  •  Problem-solving, Decision Making and Analytics
•  Module 2: Types of Supply Chain Analytics
  •  Data Preparation and Cleaning
  •  Types of Data Analytics and Statistical Concepts in a Supply Chain Context
    •  Descriptive Analytics
    •  Diagnostic Analytics
    •  Predictive Analytics
    •  Prescriptive Analytics
•  
• · Module 4: Supply Chain Data Visualisation
  •  Supply Chain Visibility
  •  Data Visualisation Tools
  •  Creating Graphs and Chart Types
  •  Data Storytelling Techniques
  •  Translating Data-Driven Insights into Actionable Supply Chain Decisions
•  
• · Module 3: Demand Analytics
  •  Demand Management
  •  Demand Forecasting
  •  Time Series Forecasting
•  
•  Module 4: Inventory Analytics
  •  The Value and Impact of Inventory Analytics
  •  Inventory Analysis
  •  Inventory Management, Warehousing, Storage and Intelligent Systems
  •  Warehouse Allocation Analysis
  •  Inventory Cost and Economic Order Quantity (EOQ)
•  Module 5: Network Design in Supply Chain
  •  The Role of Network Design in Supply Chain Analytics
  •  Distribution Network Design
  •  Gravity Location Models
  •  Network Optimisation
•  Module 6: Transportation Analytics
  •  Transport Optimisation
  •  Route Optimisation
•  Module 7: Supply Chain Risk Analytics
  •  Supply Chain Risks
  •  Using Data for Supply Chain Risk Management
  •  Failure Mode Effect Analysis (FMFEA)
  •  Fault Tree Analysis (FTA)
  •  Hazzard Analysis and Critical Point Control (HACCP)
  •  Portfolio Analysis and Optimisation
  •  Value at Risk and Coherent Risk Measures

Who Should Attend

•  Supply Chain and Logistics Managers
•  Supply Chain Analysts
•  Supply Chain Consultants
•  Procurement Managers
•  Operations Managers
•  Professionals across various industries including logistics, finance, manufacturing and retail who perform data analyses of any form in supply chain management

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