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The is an initiative by the 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  or other certificates.

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

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:

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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-Implementâ„¢ (LPIâ„¢) 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.

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CERTIFICATIONS

There are 2 modules for completion under the SCTP: Supply Chain Analytics and Operations Management course.

Participants will be awarded a SIMTech Certificate of Attendance (COA) for passing each of the individual modules listed below:

• Digital Leadership In the Age of Artificial Intelligence (AI) (8 hours)
• Machine Learning for Supply Chain Analytics and Operations Management (40 hours)

Participants will be awarded with a certificate for each individual module, if they meet the following criteria:

• Achieve at least 75% course attendance;
• Take all assessments; and
• Pass the course.
  

Pre-Requisites

• Only òòò½ÍøCitizens, òòò½ÍøPermanent Residents and Long-Term Visit Pass Plus Holder (LTVP+) aged at least 21 years old (based on the year of course commencement) who can commit to the SCTP courses on a part-time basis are eligible to apply.
  
  
• Applicants should possess a degree in any discipline or a diploma with a minimum of 3 years of related working experience.
  
  
• Applicants who do not have the required academic qualifications are still welcome to apply, but shortlisted candidates may be required to attend an interview for special approval.

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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.

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