Generative AI for Supply Chain Professional
In today’s dynamic business environment, manufacturing enterprises must be collaborative, intelligent, and resilient to effectively manage disruptive sourcing constraints and fulfillment bottlenecks. This course is designed to equip manufacturing
professionals with the skills and knowledge to leverage AI-driven supply chain optimization, ensuring sustainable competitiveness by delivering at the right cost with the right resources while maintaining business resiliency.
– Learn to identify production constraints and apply AI-driven predictive analytics to manage and overcome
these challenges.
– Implement insightful reporting and metrics to enhance supply chain visibility.
– Utilize Generative AI tools for accurate demand forecasting and supply planning.
2. Optimize Demand and Supply Planning Using AI Tools:
– Address performance gaps by using Generative AI tools for precise demand forecasting and effective supply planning. – Enhance collaboration and data utilization in supply chain operations through business intelligence and analytics.
– Improve skills in Generative AI concepts and AI model prompt writing and testing.
3. Implement AI-Driven Optimization Techniques:
– Develop expertise in using AI to optimize supply chain performance.
– Establish performance measurement processes to enhance supply chain operations.
– Identify and manage production constraints using AI-driven predictive analytics.
LO1: Develop and refine prompts to effectively interact with AI models to enhance supply chain functions.
LO2: Plan demand for production plan in relation to Supply Chain Operation
LO3: Plan supply for production plan in relation to Supply Chain Operation
LO4: Identify production constraints and allocate resources to overcome them
LO5: Evaluate production performance and follow up with actions using problem-solving techniques
Course fees after GST
Note that purchases of goods and services from GST-registered businesses will be subject to GST at 9% GST. The GST amount calculated will be based on full course fees.
Completed PSLE and are able to speak, read and write in basic English
Polytechnic Diploma, PMET
1. All notice of transfer/withdrawal / deferment must be given in writing and submitted at least 2 weeks prior to course commencement.
2. An administrative fee of $60 (GST inclusive) will be imposed if notice is received less than 2 weeks.
3. If notice of withdrawal is received:
– At least 1 week before commencement of the course, a 20% of the full course fee will be charged. For government-funded course, a 20% of full course fee before funding will be charged.
– Less than 1 week before commencement of the course, a 30% of the full course fee will be charged. For government-funded course, a 30% of full course fee before funding will be charged.
– No show on the scheduled date, a full course fee will be levied. For government-funded course, a full course fee before funding will be charged.
4. For all government-funded programmes (WSQ & Non-WSQ), funding is only applicable to:
– Singapore Citizens or Singapore Permanent Residents.
– Participants who have achieved at least 75% attendance and passed all required assessments.
– Full course fee will be charged to participants who fail to meet the above-mentioned criteria.
5. Certificates or Statement of Attainment or Certificate of Attendance will only be issued to participants who have achieved 75% attendance and undergo assessment (if applicable).
6.When a course is cancelled, fails to commence or fails to complete under unforeseen circumstances, participant is allowed to defer the intake at no cost or withdraw from the course; under such situation, a full refund of the advance payment will be given.
7. Notice of change in participant’s name must be given in writing, no less than 5 days prior to course commencement.
8. SMF reserves the right to change the venue, cancel or postpone the event without prior notice and full refund will be given under such circumstances. Such modifications shall become effective immediately upon the posting thereof. Please approach your account manager for more queries.
9. SMF Centre for Corporate Learning Pte Ltd has a Data Protection Policy which provides more information about how we collect, use and disclose your personal data. Please click the link below to know more.
https://www.smfccl.sg/privacy/
1. The candidate has the right to disagree with the assessment decision made by the assessor.
2. When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
3. If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
4. If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
5. If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
6. If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
7. The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
8. The candidate must lodge the appeal within 7 days, giving reasons for appeal together with the appeal fee of $109.00 (inclusive of 9% GST).
9. The assessor can help the candidate with writing and lodging the appeal.
10. The assessment manager will collect information from the candidate & assessor and give a final decision.
11. A record of the appeal and any subsequent actions and findings will be made.
12. An Assessment Appeal Panel will be formed to review and give a decision.
13. The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
14. The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
15. Please click the link below to fill up the Candidates Appeal Form.
