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SUPPLY CHAIN ANALYTICS - DESCRIPTIVE, PREDICTIVE & PRESCRIPTIVE ANALYTICS

Co-organised with: i-Cognitive

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 MasterClass 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

Upon Completion, You Will Gain:

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

Webinar

Watch our webinar video held on 2 March 2021 to learn more about this MasterClass.

Watch Playback

About the Trainers

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 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 with A*STAR SIMTech and an adjunct Associate Professor with the National University of Singapore (NUS). He has more than 20 years of experience in Operations Research, Global Supply Chain Management, Predictive and Prescriptive Analytics, Stochastic Models, Algorithms and Optimisation. Dr Yuan has held various academic positions in China and France.

Dr Yuan is a certified course developer, trainer and assessor with advanced certificates for SSG courses. He has been teaching SIMTech’s WSQ Inventory Management course since 2009. He has also been teaching the Logistics and Supply Chain Management course and Inventory Management course for both undergraduate and postgraduate levels at NUS. He participated in the Global Supply Chain Leadership Programme of Stanford University in 1997, and the Demand Driven Material Requirements Planning (DDMRP) Programme of Demand Driven Institute, 2015.

Dr Yuan has been leading and managing many research and industry projects in the areas of demand forecasting, inventory network modeling and optimisation, global supply chain management and optimisation, and e-commerce fulfilment. He has published more than 130 scientific papers and trained 9 postdoctoral fellows, 12 PhD students and 28 Master’s students. His academic and industrial achievements were included in Marquis Who’s Who in Science and Engineering, 2003; and Marquis Who’s Who in the World, 2001 and 2018.

Upon Completion

Participants will be awarded with a Certificate of Attendance (COA) by SIMTech if they achieve at least 75% course attendance.

Full Course Fee

The full course fee for this masterclass is $2,000 before funding and prevailing GST.

Nett Course Fee

International Participants	Singapore Citizens, SPRs or LTVP+ Holders
$2,160	$648

International Participants Singapore Citizens, SPRs or LTVP+ Holders

$2,160
$648

All fees are inclusive of prevailing GST.

Please note that fees and funding amount are subject to change.

Long Term Visit Pass Plus (LTVP+) Holders

The LTVP+ scheme applies to lawful foreign spouses of Singapore Citizens with (i) at least one Singapore Citizen child or are expecting one from the marriage, or at least three years of marriage, and (ii) where the Singapore Citizen sponsor is able to support the family.

All LTVP+ holders can be identified with their green visit pass cards, with the word ‘PLUS’ printed on the back of the card.

The SkillsFuture Credit cannot be applied to offset the masterclasses' course fees.

How course fees are calculated

TYPE	CATEGORY OF INDIVIDUALS
	International Participants	Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders
	FUNDING SOURCE
	Not applicable for SkillsFuture Funding	SkillsFuture Funding (Baseline)
Full Course Fee	$2,000	$2,000
SkillsFuture Funding	Not Applicable	($1,400)
Nett Course Fee	$2,000	$600
8% GST	$160	$48*
Total Nett Course Fee Payable to Training Provider	$2,160	$648

* Based on 30% of Full Course Fee

Contact Us

For technical enquiries, please contact:

Dr YUAN Xue Ming,
Email: xmyuan@SIMTech.a-star.edu.sg

For registration enquiries, please contact:

Mr Alex TAY,
Email: Alex_Tay@SIMTech.a-star.edu.sg

Collaterals

Download BROCHURE

Download PROGRAMME AGENDA

Registration

SIGN UP NOW

Please register for this course through our Course Registration Form for Public Classes.
For the first question, please select Qn1: MasterClasses
Applicants will be placed on our waiting list if the course does not have an upcoming scheduled intake.
Once the next intake is confirmed to commence, SIMTech will contact the applicants to share the class information.

Schedule

Note: The MasterClasses are FULL DAY programmes unless stated otherwise.

MasterClass Title	Training Period	Registration Status
Supply Chain Analytics - Descriptive, Predictive & Prescriptive Analytics (MasterClass in Predictive Manufacturing & Services - Co-organised with i-Cognitive)	23 & 24 Nov 2023	SIGN UP Now