The SGUS for Operation MaNagement and Innovation
course is to train participants to be Technology
Innovators to achieve operational excellence. This is
accomplished by promoting the use of operations
management techniques and technologies that support a company’s strategy and productivity improvement.
The course will be delivered in an innovative
Learn-Practise-Implement (LPI) training model,
consisting of online classroom training and small group mentorship for identification of operations
improvement areas, and generation of suitable initiatives
and development of implementation action plan for
This programme consists of 10 training modules, offering a set of accredited manufacturing operation management methodologies and technologies including Operations Management Innovation Methodology (OmniMethodology™), LEAN, Data Analysis, Data Analytics Driven Inventory Management, Resource Scheduling, and Production Planning & Scheduling for Smart Manufacturing, which are proven effective through highly successful applications in various sectors of the manufacturing industry. The programme is enhanced with a lab-based practise training module and 2 project-based training modules to provide unique opportunities to the participants to learn and apply the knowledge and skills for utilisation in the workplace for productivity improvement.
* Trainees who are concurrently receiving COVID-19 Support Grant (CSG) or Self-Employed Person Income Relief Scheme (SIRS) payouts will receive a lower training allowance as they are already receiving income relief.
Participants will be awarded with Statement of Attainments (SOA) certificates and/or Certificates of Attendance (COAs) for each individual module, if they meet the following criteria:
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 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:
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.
For more information about the SkillsFuture Credit, please visit its webpage here.