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Home * Master Classes * Supply Chain Analytics

11 Nov 2019 - 12 Nov 2019

Course Introduction

Data Analytics enables companies to simplify data and gain deeper insights into their business operations to improve operational efficiency, increase revenue and gain competitive advantages. Increasingly, companies are making use of Data Analytics to make better-informed business decisions. Data Analytics can help your company remain competitive by helping you better understand your business, anticipate untapped opportunities and even suggest actions that best suit your company based on forecasted scenarios.

In Supply Chain Management, there are three different application levels of Data Analytics:

  • Descriptive Supply Chain Analytics – describes current business situation based on historical data. This involves basic query, reporting and visualisation of data.
  • Predictive Supply Chain Analytics – mining of historical data to indicate patterns of future situations and behaviours.
  • Prescriptive Supply Chain Analytics – making use of the results of Predictive Analytics to suggest actions that take best advantage of the predicted scenario.

This Supply Chain Analytics Master Class equips participants with the knowledge of the latest Supply Chain Analytics technologies and analytics skills via hands-on lessons, with the use of actual business data. The practical sessions will help participating companies better understand their businesses and develop data-driven solutions to improve productivity and customer service satisfaction.

Supply Chain Analytics can be applied in various decision-making areas in a company:


  • Planning Optimisation – Product category optimisation, Omni-channel optimisation, Make or Buy decisions
  • Sourcing Decision Making – Supplier performance analysis, Supplier risk profile analysis
  • Manufacturing Optimisation – Production scheduling prioritisation, Capacity management, Quality optimisation, Production cost analysis
  • Distribution and Order Fulfilment – Distribution network optimisation, Cost savings, Customer segmentation
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Supply Chain Data Analytics helps to:

  • Improve decision-making
  • Improve forecasting accuracy
  • Reduce supply chain risks
  • Optimise supply chain network and inventory

Performance Indicators

Expected Improvements

Revenue growth

10 - 400%

Operating cost

10 - 30%

New product speed to market

25 - 80%

Reduce excess inventory

15 - 50%


  • Better understanding of how Supply Chain Analytics improves business operations
  • Better understanding of Descriptive, Predictive and Prescriptive Supply Chain Analytics
  • Better articulation of the value of Supply Chain Analytics to management and peers
  • Knowledge on applying analytics to your company’s data to discover business insights, predict future scenarios with specified business objectives, identify performance gaps and build prescriptive solutions  

Designed for middle-level Supply Chain Managers and Professionals who are in:

  • Supply Chain
  • Planning
  • Business Analysis
  • Operations                                             
  • Order Fulfilment
  • Inventory Planning
  • Finance
  • Customer Service
  • Procurement/Sourcing/Purchasing
  • Demand Planning
  • Inventory/Materials Control

The training and case studies are supported by a list of selected tools:

Dr John Paul is an expert in Supply Chain Management and Operational Improvement for Manufacturing and Services with over 30 years of experience. He is a Certified Prosci® Change Management Practitioner, and a Certified CIPM, CISCM Instructor.

He is currently the Managing Director of iCognitive, a dynamic, innovative consultancy company offering Excellence in Supply Chain services with a successful worldwide client base which includes Emirates, Al-Nahdi in the Middle East, Thales, Orange (formerly France Télécom), L’oreal in Europe; Fonterra, BAT (British American Tobacco), SFI (Singapore Food Industry), and Huntsman Textile in SEA; and in China, Coca-Cola, Shanghai Electric, Mengniu, Huawei, and Saint Gobain, etc.

In his previous position with the Singapore Institute of Manufacturing Technology (SIMTech), he had successfully implemented Supply Chain Management for local SMEs, PLEs and MNCs such as Philips CFT, Stamford Press, Sony, Venture Manufacturing, PETRONAS Oil Business, MINDEF, etc. Before joining SIMTech in 1997, John had managed several Strategic Supply Chain Management projects in Europe, e.g. Digital Equipment Corporation Europe, Danzas, DHL Europe, DuPont and Thomson.

John has written numerous articles on Supply Chain Management and has been lecturing in different Universities (Paris 12, ISLI – Kedge in France; Nanyang Technological University, and ESSEC Asian Campus in Singapore).

From 1990 to 1995, John was the President of the Society of Logistics Engineers Paris Chapter. Since 1999, he is the founder and current Secretary of SEA Chapter of the APICS Supply Chain Council and a member of the Technical Development Committee. He is the sole certified SCOR workshop instructor in South East Asia region. He is the Chairman of the Council of Supply Chain Management Professionals (CSCMP) Asian Chapter.

Dr Yuan Xue Ming is a Research Scientist from A*STAR’s Singapore Institute of Manufacturing Technology (SIMTech). He has more than 20 years’ experience in Supply Chain Management, Predictive Analytics, Stochastic Models and Algorithms. Xue Ming has held various positions in China, France, Hong Kong and Singapore. He was appointed as an Associate Professor of the Chinese Academy of Sciences in 1994, and an Adjunct Associate Professor of the National University of Singapore in 2007.

Xue Ming is a Certified Course Developer, Trainer and Assessor of advanced certificates for SSG courses. He has been teaching SSG Postgraduate Diploma’s Manufacturing Operations Management Course Inventory Management Module since 2009 as course module leader. He has also been teaching Logistics and Supply Chain Management Course and Inventory Management Course for both Undergraduate and Postgraduate levels at the National University of Singapore. He participated in the Global Supply Chain Leadership Programme of Stanford University in 1997, and the Demand Driven Material Requirements Planning (DDMRP) Programme of the Demand Driven Institute in 2015.

Xue Ming has been leading and managing many research and industry projects in the areas of Demand Forecasting, Inventory Network Modelling and Optimisation, Global Supply Chain Management and Optimisation, E-Commerce Fulfilment, and Predictive Analytics. He has published over 40 papers in prestigious scientific journals including Science in China, Journal of Applied Probability, Operations Research, European Journal of Operational Research, IIE Transactions, IEEE Transactions, and more than 60 refereed international conference papers. His scientific contributions and achievements have been included in Marquis Who’s Who in the World, 2001; Marquis Who’s Who in Science and Engineering, 2003.


iCognitive is a  leading consulting company specializing in Supply Chain Management, and providing a comprehensive range of Supply Chain consulting services, in-depth analysis, pragmatic solutions, training and a capability to produce practical and measurable results for its customers.

iCognitive expertise in Supply Chain Management provides its clients with support in their development to professional success. Supply Chain is cross functional, iCognitive provides training for all levels within the Supply Chain and various departments such as distribution, customer services, finance, and sales.

iCognitive believes in a culture of continuing professional development as training is a tool to make the different actors in the Supply Chain (Supplier, Manufacturer, Distributor, Finance, Sales, Quality,  IT, etc.) speak the same language, align understanding, acquire new competencies, and coordinate actions towards the company’s goals.

iCognitive offers a variety of approaches to learning, from hands-on experience in model factories to online professional development. With 20 years of training expertise, more than 2000 alumni and teaching in 3 world class universities, iCognitive integrates the insights from the first-hand experience and knowledge of working with the clients over the years into the course curricula. The training courses help participants translate their learning into daily business practices for lasting performance improvement by putting them in real situation using gamification approach and interactive sessions.

For more information, please visit

When and Where

  • Date:     11 - 12 November 2019 (Monday & Tuesday)

  • Time:     9.00am to 5.30pm

  • Venue:   Singapore Institute of Manufacturing Technology
                   2 Fusionopolis Way, Innovis, Level 8, Singapore 138634

                  (Visit here for directions on how to reach the venue.)

Course Fee

  • The full course fee is S$2000 (excluding GST).
  • The nett course fee (after 70% course fee subsidy from the SkillsFuture Singapore (SSG) for Singaporeans and Permanent Residents) is S$642 (including 7% GST).



| Programme Brochure |   | Programme Agenda |


Only attendees will receive the email link to access the photo album from GC2019.


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No course/programme has been scheduled to commence.


No course/programme has been scheduled to commence.

No course/programme has been scheduled to commence.

No course/programme has been scheduled to commence.