Supply Chain Analytics

A Data Driven Approach

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2 days

Delivery mode

Hybrid, In-Person or Online



Standard price


Accelerate your career, learn new skills, and expand your knowledge.

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Managing supply chains (SCs) is one key factor for many organisations. New technologies and data-driven software solutions offer policymakers the ability to optimise their decision-making processes. Diversification in local and global supply and distribution, increased customer expectations, increasing involvement of man and smart machines in the Industry 4.0 era, and enormous customisation of products result in a significant increase in complexity in the decision-making process. Consequently, traditional manual planning activities are challenged and there is a need to change the planning process within organizations. To overcome this challenge, decision-makers, at first sight, need to understand the benefits of supply chain analytics, in making a reasonable and reliable base for decision-making for the modern SCs.

Course content

The course is divided into two modules (each for 1 day) as follows:

Module 1 (Day 1):

  • Fundamentals of the supply chain, e.g., explain the managing supplier selection, explain each tier of supply chain network: Supplier, transporter, manufacturer, retailer, customers.
  • Why Data analytics is important for modern SCs
  • Descriptive analytics: Descriptive statistics, Data visualization. For example, analyse the insights of production volume of a manufacturing plant.
  • Solving case studies.
  • All analysis will be done by EXCEL.

Module 2 (Day 2):

  • Predictive analytics: Demand Analytics, Inventory analytics by time series analysis, and linear regression for demand prediction. 
  • Prescriptive analytics: Linear and Integer programming models and use them in solving SC-oriented problems (e.g., transportation decision or product mix). Decision-making under uncertainty.
  • Solving case studies.
  • All analysis will be done by EXCEL.

Learning outcomes

Skills/competencies/knowledge that would be gained through this course:
  • Learn the fundamentals of modern supply chains and the role of data analytics in supply chains.
  • Gain skill in using decision-making tools by Excel solver for solving case studies inspired from real-life.

Who should attend

This introductory course is for anyone interested in solving decision problems in different supply chains for Defence, Government agencies, public and private sector organizations. This course is suitable for anyone faced with complex and dynamic decision problems in either public or private sector.


Dr Ripon K. Chakrabortty

Dr Ripon K. Chakrabortty (Member, IEEE) is the Deputy Director (acting) of the Capability Systems Centre (CSC) and lecturer on System Engineering & Project Management at the School of Engineering and Information Technology, the University of New South Wales (UNSW Australia), Canberra. He is also the program coordinator for Master of Decision Analytics & Master of Engineering Science programs in UNSW Canberra at ADFA. Dr Chakrabortty leads the optimisation and machine learning efforts in the Capability System Centre. He is currently the Group Leader of Cross-Disciplinary Optimisation Under Capability Context Research Team. He obtained his PhD from the UNSW Canberra at ADFA in 2017, while completed his MSc and BSc from Bangladesh University of Engineering & Technology on Industrial & Production Engineering in 2013 and 2009 respectively. As an educator and active researcher in his field, his focus is to deliver authentic teaching by pursuing real-life and practical knowledge to diversified students. Inarguably, his research involvement in the discipline of 'Decision Analytics', 'Applied Operations Research', 'Systems Engineering & Project Management', 'Industry 4.O' aids him to expose knowledge gaps in the body of knowledge. Whilst, his main role as an educator has been to augment the 'critical thinking skill' among students to bridge those gaps. He along with his team members have been making a good impact on applying different optimisation principles in artificial intelligence, electrical engineering, system engineering, project management and computer science domain. Such diversified research experience had made him successful in securing many big research grants. As a chief investigator, he has secured more than 2.5 million Australian dollars’ worth of research grant, while the apportioned amount to his credit is more than 1.1 million dollars. All his research grants have been from the Australian Defence Force (ADF). 

Cancellation policy

Courses will be held subject to sufficient registrations. UNSW Canberra reserves the right to cancel a course up to five working days prior to commencement of the course. If a course is cancelled, you will have the opportunity to transfer your registration or be issued a full refund. If registrant cancels within 10 days of course commencement, a 50% registration fee will apply. UNSW Canberra is a registered ACT provider under ESOS Act 2000-CRICOS provider Code 00098G.