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SkillsFuture Career Transition Programme (SCTP):
Supply Chain Analytics and Operations Management
This is one of the specialisations offered as part of the SCTP Digital Manufacturing and Supply Chain courses, which spans *three-month on a part-time basis.
*The total duration of the SCTP course may slightly vary, being either longer or shorter than 3 months for certain intakes. Please consult the specific course calendar for the intended intake before enrolling.
WHAT IS SCTP?
The SkillsFuture Career Transition Programme (SCTP) is an initiative by the SkillsFuture Singapore (SSG) agency to help individuals in career transition by acquiring industry-relevant core competencies.
This Train-and-Place programme allows the trainees to attend training courses and other immersive learning activities, in addition to access to career advisory services and employment facilitation, while earning recognised certificates.
The SCTP trainees will attend classes, hands-on labs and other immersive learning activities to earn Workforce Skills Qualifications (WSQ) Statement of Attainments (SOAs) or other certificates.
We deliver through
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What we offer for individual trainees
Career Advisory Services
- Participate in career talk (workshop, clinic sessions)
- Job matching and interview facilitation
part-time training programme
- Train-and-Place Modality
- Industry-focused curriculum
- Can continue to work
Course Fee Funding Support
- Up to 95% subsidies for Singapore Citizens, SPRs, LTVP+ Holders
- SkillsFuture Credit eligible
Application Process
- APPLICATION
- Applicant to submit online application and curriculum vitae (CV) via the APPLY NOW Button.
- EVALUATION
- Applications will be evaluated by a committee.
- ACCEPTANCE
- Shortlisted applicants who are successfully enrolled to the programme to receive a course confirmation and offer email.
- INDUCTION
- SCTP trainees attend a course briefing workshop.
Quick link
Introduction
This specialised SCTP programme is tailored to empower Supply Chain Analysts with adaptive skills and digital leadership competencies essential in the age of Artificial Intelligence (AI). By offering training in Machine Learning technology skills for Supply Chain Analytics and Operations Management, the programme ensures that participants not only remain relevant in today’s dynamic economy but also are primed for new opportunities with their enhanced expertise.
Targeted Job Role(s)
- Supply Chain Analyst
List of Modules
Digital Leadership In the Age of Artificial Intelligence (AI) (8 hours)
Introduction
In an era where Artificial Intelligence (AI) and digital technologies are revolutionizing industries, leaders must evolve to navigate the complexities of this digital landscape. The transformation towards Industry 4.0 is not merely a technological shift but a holistic change that encompasses business value, organisational processes, and human capital.
About the Programme
This programme aims to help company leaders understand digital leadership competencies, leading to improvements in productivity, employee motivation and business performance. Enabling leaders to understand digital transformation goes beyond the digital to target the transformation of business value propositions, the organisation process, and its people. This 2 half-day programme equips middle and senior managers with vital skills for leading in the Age of AI. The curriculum covers essential frameworks for digital transformation, helps assess organisational readiness for AI changes, and offers insights into emerging technologies. It also addresses job redesign in the context of AI.
Course Outline
The programme is delivered through practical applications of Supply Chain, Enterprise & Frontline digital technologies, to enable company leaders to understand the following key topics:
- Real-time Planning & Scheduling
- Digital Workflow Automation
- Inventory Analytics and Planning System
- Data-driven Inventory Planning
- Predictive and Prescriptive Maintenance System
- Holistic Energy Management
- Real-time Dashboard
- Generative AI in Business Strategy
- Prompt Engineering
- Content and Media Generation
- Consumer Experience Enhancement
- Data-Driven Decision Making
- Gen AI Tools
- ChatGPT
- DALL-E
- Beatoven.ai
- Runway ML
- Digital Business Strategy
- Digital Competency
- Supply Chain Integration
- Enterprise Connectivity
- Enterprise Intelligence
- Ethics and Responsible AI
- Privacy Concerns in the Age of AI
- AI’s Impact on the Employment Ecosystem
- Building an AI-Literate Team
- Emerging Roles in AI-Enabled Industries
- Adaptive Leadership in a Changing Market
- Creating an AI Strategy
Find out more
Machine Learning for Supply Chain Analytics and Operations Management (40 hours)
Introduction
In today’s connected world, machine learning has emerged as a key technologies for improving business operations in organisations. It extracts meaningful insights from raw business data for better decision support & making in the supply chain planning and operations management.
about this programme
This programme focuses on applying relevant machine learning techniques to extract hidden patterns from either commercial systems such as CRM, ERP or excel files containing large volume of transactions data amassed over the years. Some of the examples are listed below:
- Sale Order
- Hidden trend and patterns in demand
- Sales + delivery (demand) order
- Order fulfilment performance
- Purchase + delivery (supply) order
- Supplier performance
- Purchase + delivery (supply) order + sales order
- Operational uncertainty
Course Outline
The programme adopts the Learn-Practise-Implement™ (LPI™) pedagogy. Participants will acquire knowledge through a gradual learning curve, reinforce the knowledge and skill taught by working on hands-on examples that are related to their work, and apply the knowledge acquired to solve their business problems.
Key focus areas or applications:
- Data analytics fundamentals
- Data visualization
- Supervised learning
- Unsupervised learning
- Decision analysis
- Supplier/customer profiling
- Demand pattern discovery
- Order lead-time analysis
- Demand forecasting
- Managing demand uncertainty
The machine learning topics covered in this course are aimed to provide insights for better decision support in the areas of demand planning, inventory planning and profile analysis of suppliers and customers.
Find out more
WHY CHOOSE SIMTECH's SCTP DIGITAL MANUFACTURING AND SUPPLY CHAIN COURSES
Pathways to Specialisations
Click on the above image to enlarge.
Empowering Individual’s Career Transitions with Our Train-and-Place Programme
John, a 40-year-old Engineer, aspires to pivot to a new job role in the automation sector that demands skills and competency in digital leadership and digital business flow. Seeking support for this mid-career job pivot, John explores the train-and-place programme with SIMTech for training suitability and funding eligibility.
After a series of consultations and confirmation of training suitability and eligibility, John registers and begins a three-month SCTP on a part-time basis. During this period, SIMTech supports John with job-specific skills trainings, job placement facilitation, including job referrals, interview opportunities, and career coaching to improve his placement prospects.
Click on the above image to enlarge.
Pathways to Specialisations
JOHN'S THREE-MONTH SCTP JOURNEY
John, a 40-year-old Engineer, aspires to pivot to a new job role in the automation sector that demands skills and competency in digital leadership and digital business flow. Seeking support for this mid-career job pivot, John explores the train-and-place programme with SIMTech for training suitability and funding eligibility.
After a series of consultations and confirmation of training suitability and eligibility, John registers and begins a three-month SCTP on a part-time basis. During this period, SIMTech supports John with job-specific skills trainings, job placement facilitation, including job referrals, interview opportunities, and career coaching to improve his placement prospects.
Contact Us
- For technical enquiries, please contact:
Mr MA Bin,
Email: bma@SIMTech.a-star.edu.sg
- For general enquiries, please contact:
Dr LIM Cheng Leong,
Email: lim_cheng_leong@ARTC.a-star.edu.sg
Registration
- Successful applicants will be notified on their batch's commencement date.
Schedule
SCTP Specialisation | Skills Course Reference Number | Expected Commencement Date | Registration Status |
| TGS-2024046148 | Successful applicants will be notified on their batch's commencement date. |
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