SGUS for Operation Management and Innovation

This module provides the necessary fundamental knowledge and key concepts needed, for trainees to understand operations management; align operations improvement to a company’s strategic intent; learn and practise proven methods, tools and technologies that can be used to improve operations improvement; and most importantly, to systematically apply the Operations Management Innovation methodology (OmniMethodology™) as a systematic approach to achieve sustainable operations improvemenst that are effective and efficient.

This module aims to provide participants with up-to-date methodologies in data mining and a thorough discussion of successful case studies. The in-depth learning and hands-on practise on data mining projects will train the participants’ capabilities in data collection, data pre-processing and finally, using data mining techniques to analyse the data to find out hidden correlations among various parameters for performance prediction and root cause analysis. Through extensive hands-on practice and data mining projects, the participants will gain the ability to use data mining techniques to solve actual industrial problems upon completion of the course.

This module aims to achieve productivity breakthroughs for an organisation by educating participants in the fundamental of LEAN principles and be equipped with LEAN techniques to implement at the workplace. The course follows a systematic approach to identifying wastes (non-value-added activities) and conducting root-cause analyses: Practical LEAN techniques are taught in classroom lectures; while the mentoring sessions facilitate the implementation of LEAN techniques. After completing the course, participants can usher their organisations to partake in their LEAN journey by becoming LEAN leaders to train colleagues to be more efficient and effective, and support LEAN culture for continuous productivity improvements and long-term benefits

Many industrial organisations are facing the challenge of excess inventories, which is the root of all evil in business. This module trains participants in inventory planning concept, knowledge and principles, and equip them with skills and tools for conducting inventory performance analysis and optimisation. With these skills, participants will be able to help their companies to achieve right-sized inventory, mitigate inventory risk and maximise inventory performance. Participants will also have the opportunity to engage with SIMTech inventory planning system during the hands-on sessions for reinforcement of the learnt knowledge.

This module aims to equip participants with the essential skills and knowledge for production planning and scheduling, through in-depth discussions and practical sessions including hands-on modelling of real-world industrial planning & scheduling practices into SIMTech’s Smart Manufacturing Operations Management (S-MOM) software. They will gain the knowledge to help their organisations to embark on their digitalisation journey with best practises on Advanced Planning and Scheduling (APS).

This course module is designed to provide hands-on training to participants in the area of resource scheduling for Service Industries. Resources to be scheduled may include Manpower (Engineer/Technician, Lecturer/Trainer, Service Staff, etc.) and/or Equipment (Crane/Elevator, Classroom, Centers, etc.). Training focuses on hands-on modelling of the participant’s existing resource scheduling practices into SIMTech’s Manpower Scheduling System (MSS) software.

This course module is designed to provide hands-on training to participants in the area of resource scheduling for Service Industries. Resources to be scheduled may include Manpower (Engineer/Technician, Lecturer/Trainer, Service Staff, etc.) and/or Equipment (Crane/Elevator, Classroom, Centers, etc.). Training focuses on hands-on modelling of the participant’s existing resource scheduling practices into SIMTech’s Manpower Scheduling System (MSS) software.

This module is designed to provide extensive hands-on practise training on basic skills about common processes, operations methods and data analysis encountered in industrial applications. The module consists of 30 sessions (120 hours in total) which will offer participants the opportunity to handle the operations process equipment and analytical instruments in SIMTech labs to enhance their knowledge learned from the other technical skills modules.

Under the guidance of the experienced trainers, the participants are expected to gain expert knowledge in the following categories:

• Operations Management Skills Training – Practical demonstrations will be carried out, starting with business model canvas, business strategies & business objectives. The Operations Management Skills training aims to train participants with the skills to create business values by transforming input resources into output goods & services.
• Detailed development of Value Stream Map, identify value-creating processes, hotspots & opportunities.
• Identify improvement areas within the organisations & generate initiatives to align with objectives.
• Assign cascading responsibilities and detailed action plans to demonstrate sustainable organisation’s improvement.
• Introduction of theories and methods for problem-solving.

The project-based modules provide opportunities for the participants to embark on an industry project either in-house at SIMTech or work with a participating company.

Pre-Requisites

• Only Singaporeans and Singapore Permanent Residents aged above 21 years old who are unemployed or retrenched and can commit to the SGUS courses on a full-time basis are eligible to apply for the SGUS programme.
  
  

  In addition, the target trainees for the SGUS courses will exclude the following: a) Graduated or graduating in Calendar Years (CY) 2019 to 2021 (both years inclusive) from ITE, Polytechnics, Universities, and other educational institutions. This includes graduates from private universities as well as overseas institutions; and b) Graduated from the educational institutions mentioned in (a) and completed or completing their National Service (NS) in Calendar Years 2019 to 2021 (both years inclusive) and are entering the labour force.;

  
  
• 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.
  
  
• Proficiency in written and spoken English.

Course Fee

For more information about the SkillsFuture Credit, please visit its webpage here.

• Trainees have to pay the full amount of nett fees upfront after they are enrolled to the programme.
• Trainees who find full-time employment and apply for early exit from the programme can receive pro-rated refund of their course fees.

Brochure and Registration