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Home * Courses * WSQ Modular Programmes * PE WSQ Programme in 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


CRS-Q-0026950-PE 
Click here to visit the the SSG Course Directory for this module.


Upon completion of this programme, participants will be awarded a WSQ Statement of Attainment electronic certificate (e-Cert). Visit here for more information about the e-Cert. Singapre Certified Energy Managers (SCEMs) are also conferred 46 Professional Development Units (PDUs); and 27 PDUs for non-SCEMs.

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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:


Or click here if you are unable to view the above information. Please note that the course outline is subject to change.




 

Dr Zhao Yi Zhi is a Senior Research Engineer at SIMTech with a PhD in Computer Engineering. With more than 20 years of industrial R&D experience, he helped develop a software system that won the IES Prestigious Engineering Achievement Award, and successfully licensed several other systems to local companies, including the Energy Efficiency Monitoring and Analysis System (E²MAS). He has published over 30 journal and conference papers. His current research focus is on energy-aware execution control for energy-efficient manufacturing, EE 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.

 



 
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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

The full course fee for this programme is S$4,000 before course fee funding and GST.

PE WSQ Course in Productivity through Energy Usage Pattern Monitoring and Analysis

Fee Per Module (Inclusive of 7% GST)

Singaporeans

Singapore Permanent Residents

Foreigners

Full Course Fee

NA

NA

S$4280.00

[a] Nett Course Fee
(after 70% course fee funding)

S$1284.00

S$1284.00

NA

[b] Nett Course Fee for SMEs
(after 70% course fee funding)

SMEs are entitled to claim S$800 per trainee (under the Enhanced Training Support for SMEs scheme) through SkillsConnect, subject to eligibility criteria

S$1284.00




(S$800.00)

S$1284.00




(S$800.00)

NA

[c] Nett Course Fee under SkillsFuture Mid-career Enhanced Subsidy (>=40 years old)(90% course fee funding)

S$484.00

NA

NA

[d] Nett Course Fee under Workforce Training Support (WTS) scheme
(95% course fee funding)

S$284.00

NA

NA

NA = Not applicable
Please note that fees and funding amount are subject to change.

[a]

All Singaporeans and Permanent Residents aged 21 years and above can enjoy course fee funding of up to 70% of the course fee.

[b]

Singaporean or Permanent Resident employees fully sponsored by SMEs can enjoy course fee funding support of up to 90% of the course fee under the Enhanced Training Support for Small & Medium Enterprises (SMEs) scheme, subject to eligibility criteria.

Application for the enhanced funding will be administered through SkillsConnect. SMEs can submit applications and claims through the online SkillsConnect platform and enhanced funding will be awarded to those who meet the eligibility criteria.

[c]

Singaporeans aged 40 years and above can enjoy course fee funding of up to 90% of the course fee under the SkillsFuture Mid-career Enhanced Subsidy (SFMCES).

[d]

Singaporeans aged 35 years and above with earnings not more than S$2,000 per month can enjoy course fee funding for 95% of the course fee under the Workfare Training Support (WTS) scheme.

[e]

Singaporeans aged 25 years old and above are eligible for SkillsFuture Credit which can be used to offset course fees.

*Note: The course participants must also meet the following criteria to qualify for the course fee funding:

·       Achieve at least 75% course attendance; and

·       Take all assessments


For Batch 3 & Batch 4 (2017)
(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

Visit here for directions to the venue.

SIMTech @ Valley Block
73 Nanyang Drive
Singapore 637662

Visit here for directions to the venue.

View the course schedules here.

(Click on the respective Commencement Dates to view the course schedules.)
(Click on the respective Registration Closing Dates to submit your registration online.)


  • For technical enquiries, please contact Dr Zhao Yi Zhi, Email: yzzhao@SIMTech.a-star.edu.sg
  • For general enquiries, please email to KTO-enquiry@SIMTech.a-star.edu.sg

 



 

 
 
 
 
 
         

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