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Home * Courses * Modular Programmes * Energy Usage Pattern Monitoring and Analysis


Productivity is about having access to critical information anywhere, any time, for effective decision making. With IT connectivity and advanced statistical techniques on energy usage patterns, operations data of factories, facilities, or equipment can now be used to uncover many productivity issues not identifiable by conventional means, and almost instantly. This course will equip participants with new skills to gather, analyse, visualise and act on the above operation data timely. Besides, as many equipment and processes are typically over-spec in terms of energy usage, the same course will also enable participants to identify energy hot spots in their operations or facilities.

Module | Improve Manufacturing Productivity through Energy Usage Pattern Monitoring and Analysis

Since 3 November 2014, electronic certificates (e-Certs) are issued by SkillsFuture Singapore (SSG) to participants who have attended and attained competency in the Singapore Skills Framework training modules. Visit here for more information about the e-Cert.

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  • Hands-on sessions with actual industry cases
  • Address productivity and energy issues during lectures
  • Develop company‘s own action plan

This course is designed to impart strategic energy management skills to energy managers, production managers, facilities managers, production supervisors, and technicians etc.

Above: Participants attended an hand-on session using the machining energy monitoring system.

Above: 22 industry participants from September 2016 batch, together with the course instructors, at SIMTech laboratories.

The course will equip participants with effective practical tools and techniques, based on energy data monitoring and analytics. Participants are taught to focus on:


Dr Zhao Yi Zhi is a Principal Research Engineer from SIMTech with a PhD in Computer Engineering. With more than 20 years of industrial R&D experience, he helped to develop a software system that won the IES Prestigious Engineering Achievement Award, and successfully licensed several other systems to local companies, including the Shop Floor Tracking System (SFTS) and Energy Efficiency Monitoring and Analysis System (E2MAS). He has published over 30 journal and conference papers. His current research focuses include multi-objective optimization for prioritization and dispatching, energy-aware execution control for energy-efficient manufacturing, and energy efficiency analysis and management systems. Dr Zhao is an IEEE member.

View Dr Zhao Yi Zhi's researcher portfolio here.

Dr Li Xiang is a Senior Scientist and Team Lead in SIMTech. She has more than 20 years of experience in research on computational intelligence, data mining, and statistical analyses such as neural networks, fuzzy logic systems, unsupervised data clustering, and regression modelling. Her research expertise includes data mining and knowledge discovery, decision support systems, in-situ process monitoring and quality control. She is a member of the IEEE.

View Dr Li Xiang's researcher portfolio here.

Dr Song Bin is a Senior Scientist from SIMTech's Sustainability and Lifecycle Management team under the Planning and Operations Management Group.  His current R&D focus is on methodologies and tools for advancing sustainability in manufacturing operations that include closed-loop manufacturing, carbon footprint management, and manufacturing energy efficiency. He has over 20 years of R&D experience in product lifecycle management and life cycle engineering. During this period, he has initiated and successfully led many research and industry funded projects, ranging from million-dollar projects by government agencies and multi-national companies (MNCs), as well as smaller projects with small and medium-sized enterprises (SMEs).

View Dr Song Bin's researcher portfolio here.

For more information about The Institution of Engineers, Singapore (IES), please visit here.


Click here to view the above video on YouTube.

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  • Applicants should possess a degree in any discipline or a diploma with a minimum of 3 years of related working experience.
  • Proficiency in written and spoken English

Module Name

Full Course Fee (before SkillsFuture Funding and GST)

Type of Sponsorship
Improve Manufacturing Productivity through Energy Usage Pattern Monitoring and Anaylsis

    Funding Schemes for this Programme:

    Please note that fees and funding amount are subject to change.

    For more information on the SkillsFuture funding you are eligible for, please visit


    (Classroom training is held at either of the following venues for each batch.)

    IES Academy @ Jurong East
    Devan Nair Institute for Employment and Employability (e2i)
    80 Jurong East Street 21
    Singapore 609607

    SIMTech @ Valley Block
    73 Nanyang Drive
    Singapore 637662

    Visit here for directions to the venue.

    This programme is associated with the below SIMTech centre. Click on the image to visit its website.


    PE WSQ Programme in Energy Efficiency Management

    Module Name

    Skills Course Reference Number

    Schedule Dates

    Improve Manufacturing Productivity through Energy Usage Pattern Monitoring and Analysis (48 hours)  

    Note: Training venues for each intakes are at IES Academy@Jurong East (Devan Nair Institute for Employment) and SIMTech@Valley Block.
    CRS-Q-0033827-PRE 2 Sep 2019 - 23 Oct 2019

    Click here to visit the programme webpage.

    Click here to view/download the programme collaterals.

    Click on the schedule dates to view the module calendar.


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    Only attendees will receive the email link to access the photo album from GC2019.


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    No course/programme has been scheduled to commence.


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    No course/programme has been scheduled to commence.

    No course/programme has been scheduled to commence.