required for full qualification pe wsq graduate … brochures/graduate... · the precision...

PE WSQ GRADUATE DIPLOMA IN MECHATRONICS

The Precision Engineering Workforce Skills Qualifications (PE WSQ) Graduate Diploma in Mechatronics is a joint initiative of the Singapore Institute of Manufacturing Technology (SIMTech) and the SkillsFuture Singapore (SSG) Agency. The course is designed to equip the participants with the capabilities of applying multi-disciplinary and integrated approaches to design and develop high value-added industrial equipment and products such as precision machine tools, semiconductor equipment, and measurement and optical instruments.

The course consists of five modules, to be conducted through a series of lectures, hands-on practical training and case studies by SIMTech researchers with comprehensive industrial experiences. It will provide the participants unique opportunities to learn and apply the competencies for increasing accuracy, throughput and functionality in equipment and products.

Industry Relevance

Why This Course

This course targets at the industrial engineers, supervisors and managers, researchers and technical staff in the precision engineering, aerospace, optics and semiconductor industries.

This programme aims to equip employees in the PE industry with cutting-edge precision engineering technologies and skills to achieve high value manufacturing and greater productivity. Since the inception of this programme in 2011, we have trained more than 400 Professionals, Managers, Engineers and Technicians (PMETs) and several companies have benefitted from sending their employees to attend the course.

Only 5 modules (4 core + 1 elective modules) required for full qualification

When & WherePlease visit our website at KTO.SIMTech.a-star.edu.sg for the updated course schedule.

Training Venue: Singapore Institute of Manufacturing Technology2 Fusionopolis Way, Innovis, Level 8, Singapore 138634

Singapore Institute of Manufacturing Technology 2 Fusionopolis Way, Innovis, #08-04, Singapore 138634 Tel: +65 6590 3193 Email: [email protected] | Website: KTO.SIMTech.a-star.edu.sg

For enquiries, please contact:Dr Lin WeiEmail: [email protected]

Participants will be awarded the Graduate Diploma after successfully completing five modules (four core units and one elective unit). Alternatively, participants will be awarded a WSQ Statement of Attainment electronic certificate for passing any individual module of their choice.

Core Unit 1 | Design Precision Machines (42 hours) This module teaches the principles and strategies for engineering design in order to develop equipments and products of higher precision, accuracy, and reliability. It covers the applications of the key mechanical components, practical design, and analytical approaches for machine structures and precision mechanisms. Design case studies will be included to help participants apply their knowledge to real-time industrial needs. Core Unit 2 | Enhance Control Performance of Precision Machines (42 hours)This module equips participants with the competencies needed to analyse, design, and tune controllers for precision control. The participants will learn about the various issues and challenges in this niche field, the capabilities of the state-of-the-art controllers, and latest advances in actuation and sensing technologies used in precision engineering. Various case studies on error compensation, self-calibration, as well as practical implementation for control in areas such as piezoelectric motors, voice coil motors, and permanent magnet linear motors will be used to demonstrate the techniques that can then be applied to engineering issues in day-to-day operations.

Core Unit 3 | Design and Analyse for Machine Vibration (42 hours)This module covers the fundamentals of structural dynamics, the use of finite element modelling, the methods for vibration measurement, and the analyses of mechanical systems and machine structures. A number of case studies will be presented for identifying and tackling the weaknesses in machine structures. At the end of this module, participants are expected to be equipped with critical competencies in dealing with issues that affect machine vibration, such as stiffness and damping, structural configuration, and structural connectivity.

Core Unit 4 | Apply industrial Robots and Automation (42 hours)This module aims to provide participants with the basics of robotics and their implementation in a variety of process automations. It covers the fundamentals of automation, robotics theory, and the various types of components that can be integrated to form an intelligent system for process automation. It deals with robotic calibrations, as well as advanced teaching and programming methods. Representative case studies will also be shared with the participants.

Elective Units• Geometric Dimensioning & Tolerancing (42 hours)• Dimensional Measurements and Metrology (45 hours)• Implement Manufacturing Data Mining Techniques (42 hours)• Design Human Machine Interface (HMI) and Supervisory Control (42 hours)

For more information about each module, please visit KTO.SIMTech.a-star.edu.sg

Course Modules

Course Fee and Funding• The full course fee for the complete Graduate Diploma Programme is S$15,000 before course fee funding & GST.• The full course fee for each individual module is S$3,000 before course fee funding & GST.• All Singaporeans and Permanent Residents aged 21 years and above can enjoy course fee funding of up to 70% of

the course fee.• 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.

• 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 (MCES).

• 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.

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

For more information about the course fee funding, please visit www.ssg.gov.sg

01/2017

Today’s machines, be they for semiconductor manufacturing, precision part machining or inspection, operate at faster rates along with increasing precision. This is brought about by designers having skills and knowledge of the machines and the processes. These experienced designers are much sought-after and rare people. Therefore, this highly practical, case study-based course provides participants with the fundamentals of the precision engineering principles and the state-of-the-art design concepts for achieving higher precision and accuracy in machines and products. The course covers the applications of key mechanical components, and practical approaches for machines and mechanisms design and analysis. Case studies are included to help participants to gain the knowledge for addressing the real-world industrial needs.

Who Should Attend

Why This Course

This course targets at mechatronics/mechanical/electrical/control engineers, precision machines and automation systems designers and researchers, process engineers and plant supervisors. The course is also relevant for participants from industries, such as precision engineering, electronics, machine tools, automotive, aerospace, optics, semiconductor and etc, where accuracy capability and performance is critical to the production.

• Highly practical and intensive• Latest knowledge and up-to-date technology• Case studies highlighting industrial applications• Expert trainers in the field with industrial experience





Design Precision Machines (42 hours)



What You Will LearnThe course covers the following performance statements: • Understand the design principles and techniques for precision machine design• Apply kinematic design concepts• Aware the design methods for suppressing static and dynamic effects in machine structures• Apply practical techniques for minimising thermal distortion• Understand the design technique for high precision linear guides and transmission components• Design and analyse 4-bar linkage mechanisms for practical applications• Understand performance characteristics of flexure-based mechanisms• Perform error analysis for high precision motion stages

About the Course LeadersDr Lin Wei’s research interests are in precision mechatronics design, process and inspection automation, and industrial robotics. He has been a technical and project leader for more than 50 major industrial projects for the precision engineering, electronics, oil and gas, and aerospace industries. Currently he is a Senior Scientist with the Singapore Institute of Manufacturing Technology and an Adjunct Research Associate Professor at the Department of Mechanical Engineering of the National University of Singapore. He is also a co-director of the SIMTech-NUS Joint Lab on Industrial Robotics.

Course Fee and Funding

• The full course fee for this module is S$3,000 before course fee funding & GST.• All Singaporeans and Permanent Residents aged 21 years and above can enjoy course fee funding of up to 70% of





• Singaporeans aged 25 years old and above are eligible for SkillsFuture Credit which can be used to offset course fees. For more information about the course fee funding, please visit www.ssg.gov.sg

07/2017

Dr Teo Tat Joo, Daniel received his B.Eng degree in Mechatronics Engineering from the Queensland University of Technology, Australia, in 2003, and his PhD degree in Mechanical and Aerospace Engineering from the Nanyang Technological University, Singapore, in 2009. He has been a researcher with the Singapore Institute of Manufacturing Technology since 2010. He was a visiting scientist with the Massachusetts Institute of Technology, USA, in 2016. Since 2017, he is an Adjunct Assistant Professor at the Department of Electrical and Computer Engineering of the National University of Singapore. Dr Teo’s research interests are to explore the fundamentals of Newtonian mechanics, solid mechanics, kinematics, and electromagnetism to develop high-precision mechatronics or robotic systems for micro/nano-scales manipulation and biomedical applications.

Mr Chow Siew Loong is a Principal Research Engineer and team leader for the Engineering and Instrumentation Unit with the Manufacturing Automation Division at the Singapore Institute of Manufacturing Technology. His research interests are in mechanical design, conceptual designs and automation.

This course equips participants with the fundamental tools needed to analyse, design and tune controllers with in-depth analysis of key considerations for precision control, such as uncertainty analysis, noise sources and filtering, and metrology and error sources, to name a few. The knowledge gained will enhanced the participant’s ability to increase machines’ performance in terms of precision, accuracy, speed and reliability. The participants will also gained awareness of the capabilities of various high-tech equipment, latest concepts at the forefront of precision engineering for actuation and sensing. Various case studies on error compensation, self-calibration, as well as practical implementation for control in some technology areas such as voice coil motors and permanent magnet linear motors will be used to impart the techniques which can be applied immediately to engineering issues in the day-to-day operation.

Who Should Attend

Why This Course

This course targets at mechatronics/mechanical/electrical/control engineers, precision machines and automation systems designers and researchers, process engineers and plant supervisors. The course is also relevant for participants from industries, such as precision engineering, electronics, machine tools, automotive, aerospace, optics, semiconductor and etc, where accuracy capability and performance is critical to the production.

• Designed specifically based on local industry demand• Highly practical and intensive• Latest knowledge and up-to-date technologies• Case studies highlighting industrial applications• Expert trainers in the field with industrial experience





Enhance Control Performance of Precision Machines (42 hours)



What You Will LearnThe course covers the following performance statements:• Understand the purpose of control systems and basic knowledge of PID (Proportional, Integral, Derivative) control• Understand the purpose of system modeling• Perform system identification for linear systems• Understand the design of PID control using model based approach• Distinguish between repeatability, resolution, and accuracy• Perform steps to calibrate and improve machine performance• Building mathematical model of a thermal system using thermal equations and perform analysis to determine &

select suitable heater• Understand a servo control system• Appreciate and evaluate a precision close-loop positioning system• Construct a servo motor drive system with digital signal controller• Gain the knowledge on industrial communication interfaces, protocols their limitations and applications

About the Course LeaderDr Teo Chek Sing completed his PhD degree at the National University of Singapore in 2008, under the Agency for Science Technology and Research (A*STAR) Scholarship Scheme, working on “Accuracy Enhancement for High Precision Gantry Stage”. His research interests are in the application of advanced control techniques to precision mechatronic system and instrumentation; to enhance performance in motion control and measurement. His current work includes using mechatronics stiffness to reduce jerk reaction in high speed motion stage and sensor placement for adaptronics. He currently leads the Precision Mechatronics Team within SIMTech’s Mechatronics Group, as well as the co-Director of the SIMTech-NUS Precision Motion System joint lab.

Course Fee and Funding• The full course fee for this module is S$3,000 before course fee funding & GST.• All Singaporeans and Permanent Residents aged 21 years and above can enjoy course fee funding of up to 70% of






07/2017

This module covers the fundamentals of structural dynamics, the use of finite element modelling, the methods for vibration measurement, and the analyses of mechanical systems and machine structures. Case studies are discussed during sessions to identify and tackle the weaknesses in machine structures. Hands-on sessions will be conducted to learn about dynamic analysis for machine structure. Upon the completion of this module, participants are expected to be equipped with critical competencies in dealing with issues that affect machine vibration, such as stiffness and damping, structural configuration, and structural connectivity.

Who Should Attend

Why This Course

This course targets at industrial engineers, supervisors and managers, researchers and technical staff in the precision engineering, electronics, marine & offshore, aerospace industries etc, where vibration to machines and mechatronics systems is a concern for achieving high speed and high precision performance.

• Highly practical and intensive• Latest knowledge and up-to-date vibration measurement and analysis tools• Case studies highlighting industrial applications• Expert trainers in the field with industrial experience





Design and Analyse for Machine Vibration (42 hours)



What You Will Learn• Understand the vibration analysis concept for mechanical systems• Identify vibration sources • Learn the application of the vibration measurement and analysis tools• Learn the application of finite element method and the software tools for analysing the static and dynamic

properties of machine structures• Understand the fundamental of structural modal analysis• Apply the basic method for vibration reduction due to internal external sources• Understand the practical methods for suppressing vibration

About the Course LeadersDr Lin Wen-Jong is a Principal Research Scientist with the Singapore Institute of Manufacturing Technology. He received his MSc(Engineering) degree in Advanced Manufacturing Systems and Technology from the Liverpool University, United Kingdom, in 1991; PhD in Manufacturing Technology at the Imperial College, University of London, in 1997; postgraduate diploma in Structure Engineering and Foundation at the University of Westminster, United Kingdom, in 1999, and an MBA from the Nanyang Technological University, Singapore, in 2003. Dr Lin is a member of the Institute of Mechanical Engineering and a Chartered Engineer of Engineering Council, United Kingdom. Dr Lin has more than twelve years industry experience with SMEs and MNCs. He serves as an Adjunct Assistant Professor at the National University of Singapore. His field of research interests includes mechanical design, FEM, neural network, Fuzzy logical, motion control, real-time control and robotics with physical background and experience in mechanical/software control engineering, and a wide range of automation projects in food industry, medical equipment, aerospace overhaul and precision machines.







07/2017

Dr Lim Chee Wang is currently the Head of Advanced Technology with Makino Asia. His team is responsible of developing technology capability to enhance CNC machining centres’ performance, ease-of-use and reliability, through the use of sensors, intelligent control and advanced algorithm. Dr Lim obtained his BEng in Mechanical Engineering from UMIST, United Kingdom, MEng in Robotics from the National University of Singapore and EngD in Precision Engineering from the Cranfield University, United Kingdom. He was previously a Scientist with SIMTech and carried out research projects in the areas of Robotics, Automation and Machine Dynamics.

Dr Lin Wei’s research interests are in precision mechatronics design, process and inspection automation, and industrial robotics. He has been a technical and project leader for more than 50 major industrial projects for the precision engineering, electronics, oil and gas, and aerospace industries. Currently he is a Senior Scientist with the Singapore Institute of Manufacturing Technology and an Adjunct Research Associate Professor at the Department of Mechanical Engineering of the National University of Singapore. He is also a co-director of the SIMTech-NUS Joint Lab on Industrial Robotics.

This course aims to provide participants with the basics of robotics and their implementation in a variety of process automation. It covers the fundamentals of automation, robotics theories and the various types of components that can be integrated to form an intelligent system for process automation. The course also deals with robotic calibrations, as well as on robotics path teaching and programming methods. Representative case studies will also be shared with the participants during the training sessions.


Who Should Attend

Why This Course

This course is designed for production managers, supervisors, engineers, technicians, automation systems designers and researchers. The course is also relevant for participants from industries, such as precision engineering, electronics, machine tools, automotive, aerospace, optics, semiconductor and etc, who are looking for industrial automation solutions for their daily operations in the production line.





Apply Industrial Robots and Automation (42 hours)



What You Will LearnThe course covers the following performance statements:• Understand the fundamental of robotics theory applied to industrial robots• Able to select suitable vision system for automated systems • Able to select suitable compliance tools for given requirements • Basic understanding of various industrial robot teaching methods • Basic understanding of major phase in industrial robot programming • Assess and consider the feasibility of applying robotic material removal on specific applications • Able to conceptualise mechanised system for a manufacturing operation • Understand requirements for inspection systems • Apply automation assessment for manufacturing operations

About the Course LeadersDr Ng Teck Chew is a Principal Research Engineer with SIMTech. He obtained his PhD in 2009 from the Nanyang Technological University, Singapore, in the research area of computer control and automation. He has more than 25 years’ experience working on industrial automation projects. Dr Ng has led several projects serving the Aerospace, Marine and Defense industry. With the accumulated experiences through years of engaging industries, together with his team of automation consultants, the team has designed a methodology for process automation assessment helping companies in achieving productivity improvement for factory floors.







07/2017

Dr Tao Pey Yuen is a Scientist with SIMTech. He graduated from the National University of Singapore in 2004 with a degree in Engineering and obtained his Ph.D. degree from the National University of Singapore in 2009 under the A*Star Graduate Scholarship. While with SIMTech, he was the project leader for a number of industrial projects with successful results. He was also part of the project team awarded with the SIMTech Best Industry Project Award in 2011. His research interests are in the area of robotics, systems and control.

Dr Sun Yeow Cheng is a Researcher in the Mechatronics Group with SIMTech. He has been a technical and project leader for various mechanised/robotised finishing projects with local SMEs, MNCs, R&D institutes and technology centers since 2008. Dr Sun served as a subject matter expert in the areas of mechanised finishing processes and technology development during his secondment with the Rolls-Royce Singapore in 2014 to 2015. His areas of research interest include industrial robotics and mechatronics systems.

Mr Lim Tao Ming is a Senior Research Engineer with SIMTech. He has completed several industry and research projects for factory automation in the Aerospace, Marine, Logistics and Semiconductor industries. He obtained his Master Degree in Engineering from the National University of Singapore.

This course aims to provide students with fundamental knowledge and practical skills on the subject of Geometric Dimensioning and Tolerancing (GD&T). The course is conducted in an interactive way with case studies and hands-on experiments.

GD&T is a graphic language used by mechanical designers, engineers, and quality inspection operators to effectively and accurately communicate with one another through detailed drawings. It defines the geometry of mechanical parts without any ambiguities through symbols for geometric dimensions, tolerances and relative positions among features and datums. With GD&T defined drawings, desired forms and fits can be realised. This ensures the intended function of the parts and assemblies.

Who Should Attend

Why This Course

• Mechanical designers and engineers• Quality manufacturing inspection operators, engineers and managers• Those interested in understanding and applying engineering drawings

GD&T is a powerful communication tool used in the precision engineering industry. These days, more companies are required to generate drawings that are dimensioned and toleranced with GD&T. This course is conducted by instructors with strong industrial experience in using GD&T. It also includes case studies discussions and intensive hands-on sessions to enhance the participants’ GD&T understanding.




PE WSQ GRADUATE DIPLOMA IN PRECISION MEASUREMENTS AND CHARACTERISATION

Geometric Dimensioning & Tolerancing (42 hours)


For enquiries, please contact:Dr Ng Boon PingEmail: [email protected]

07/2017

About the Course LeadersDr Chen Wenjie received his B.Eng degree and M.Eng degree in mechanical engineering from the Beijing University of Aeronautics and Astronautics, China, in 1985 and 1988, respectively, and his PhD degree in mechatronics from the Nanyang Technological University, Singapore, in 1999. Currently, he is a research scientist in the Mechatronics Group, Singapore Institute of Manufacturing Technology (SIMTech) where he performs research of the precision machine design and the flexible grasping adaptive to object uncertainties. He has more than 20 years’ experience in GD&T applications, and is an expert in the precision machine design, especially in the error budgeting analysis based-on GD&T.

Dr Lin Wei is a Senior Scientist with the Mechatronics Group in SIMTech. His research interests are in precision mechatronics design, process and inspection automation, and industrial robotics. He has been a technical and project leader for more than 50 major industrial projects for the precision engineering, electronics, oil and gas, and aerospace industries. He holds three patents in the areas of precision motion system design and non-destructive testing.

Dr Lin Wen-Jong is a Principal Research Scientist with the Singapore Institute of Manufacturing Technology. He received his MSc(Engineering) degree in Advanced Manufacturing Systems and Technology from the Liverpool University, United Kingdom, in 1991; PhD in Manufacturing Technology at the Imperial College, University of London, in 1997; postgraduate diploma in Structure Engineering and Foundation at the University of Westminster, United Kingdom, in 1999, and an MBA from the Nanyang Technological University, Singapore, in 2003. Dr Lin is a member of the Institute of Mechanical Engineering and a Chartered Engineer of Engineering Council, United Kingdom. Dr Lin has more than twelve years industry experience with SMEs and MNCs. He serves as an Adjunct Assistant Professor at the National University of Singapore. His field of research interests includes mechanical design, FEM, neural network, Fuzzy logical, motion control, real-time control and robotics with physical background and experience in mechanical/software control engineering, and a wide range of automation projects in food industry, medical equipment, aerospace overhaul and precision machines.

Course Fee and Funding• The full course fee for this module is S$3,000 before coures fee funding & GST.• All Singaporeans and Permanent Residents aged 21 years and above can enjoy course fee funding of up to 70% of







What You Will Learn

GD&T fundamental concepts and form control• GD&T symbols, terms and rules • Datum and datum system• Form control

GD&T position tolerance control and graphic analysis• Position tolerance control• Graphic analysis (paper gage)

Orientation, Run-out and profile control• Orientation, run-out and profile control

Advanced GD&T and Applications• GD&T advantages over coordinate dimensioning• Strategy for tolerancing parts

The course aims to introduce fundamental concept and theoretical knowledge of precision dimensional measurement technology and nanoscale measurement technology for applications in the Precision Engineering industry, and as well as other related industrial sectors. Specifically, the contents of the module cover fundamentals of measurement errors, error analysis and uncertainty, precision measurement systems for dimensional measurements (CMM) and surface roughness measurements (stylus proflometry), precision machine tool calibration by laser interferometer, scanning near-field optical microscopy and atomic force microscopy for nanoscale dimensional measurements.

Who Should Attend

Why This Course

This module is designed for • Measurement system designers and engineers• Operators, engineers and managers of quality inspection• Sales engineers and officers of optical components and precision standard components

• Designed specifically based on local industry demand• Highly practical and intensive• Latest knowledge and up-to-date technology • Case studies highlighting industrial application • Expert trainers in the field with industrial experience




PE WSQ GRADUATE DIPLOMA IN PRECISION MEASUREMENTS AND CHARACTERISATION

Precision Measurements (42 hours)


For enquiries, please contact:Dr Ng Boon PingEmail: [email protected]

What You Will Learn• Calculate of uncertainty based on probability distribution of real life cases• Analyse error propagation and uncertainty calculation on dimension measurement of parts• Calculate of thermal uncertainty of manufactured parts• Perform measurement on actual parts using the Coordinate Measuring Machine (CMM) and its case studies• Define surface topography and the types of parameters• Perform measurement of surface topography at different scales and resolution, using different systems and relate to

the case studies• Determine errors contributing to machine instrumentation• Understand measurement errors and techniques of laser displacement interferometer and case studies

07/2017

About the Course LeadersDr Fang Zhongping specialises in optics, machine vision, precision measurements and metrology technology. He has more than 30 years of industrial and R&D experience. Dr. Fang is a Senior Scientist with the Precision Measurements Group from Singapore Institute of Manufacturing Technology (SIMTech) since 1995. Formerly, he was the manager of Photonic Systems Group, and the Machine Vision & Sensors Group. Prior to joining SIMTech, he held R&D positions with the National Institute of Metrology (NIM), Beijing, China, the National Institute of Standards and Technology (NIST), USA, Semiconductor Equipment and Optical companies. He graduated from the Tsinghua University, Beijing, China and received his Ph.D. degree jointly from the Tianjin University, China and the University of North Carolina at Charlotte, USA.

Ms Liu Yuchan is a Principal Research Engineer from SIMTech. She has more than 20 years of experience in precision measurements of dimensions and tolerances, surface profile and texture, as well as material mechanical properties from macro to nanometer scale. Her R&D interests focus on the development of both contact and non-contact methods for precision measurements and materials characterisation for product design and fabrication, quality control, failure analysis and repair or re-manufacturing to support R&D and industry in the areas of precision engineering, optics, medical devices, semiconductors, aerospace, automotive and more. She has published more than 80 research papers in international journals and conferences as the first author or co-author.

Course Fee and Funding• The course fee for this module is S$3,000 before course fee funding & GST.• All Singaporeans and Permanent Residents aged 21 years and above can enjoy course fee funding of up to 70% of






Dr Kok Shaw Wei is a Scientist from SIMTech. He was previously with the Precision Measurements Group working in the research area of nanoscale measurement using of optical means for more than 7 years. In year 2011 and 2012, Dr Kok was seconded to Rolls-Royce Singapore to set up a measurement lab for their research unit. During his secondment, he also led a team researching on the automation of fan blade thickness measurement. In 2012 to 2014, he was the Team Lead of Measurement and Characterisation Unit in SIMTech, focusing on research issues faced by the industries. In 2015, he moved to the Mechatronics Group to lead a team focusing in the area of industrial automation.

Dr Seck Hon Luen is a Scientist from SIMTech currently working on phase related tomography technology. He received his Bachelor and Ph.D degrees from the Nanyang Technological University. His Ph.D. research topic was in the area of optical coherence tomography. His research interests include coherent and incoherent optical imaging.

PE WSQ Programme in Implement Manufacturing Data Mining Techniques (42 hours) Data mining techniques are increasingly important for data-intensive manufacturing operations as the industry faces a number of challenges such as equipment and material condition variations, trial-and-error in process parameter setting, product quality inconsistencies, low capability of root cause discovery, process performance prediction and process parameters/recipe auto tuning. By applying data mining techniques, a company can improve its product quality and manufacturing productivity.

This WSQ course aims to provide a good understanding of the fundamentals of data analytics and data mining techniques for different manufacturing applications. Participants will learn techniques for advanced clustering methods for product quality management, correlation modelling and data pattern methods for root cause analyses and neural networks for process performance prediction.

Why This Course

Who Should Attend

• Designed to specially cater to local industry demand• Highly practical and intensive• Latest knowledge and up-to-date technology• Case studies highlighting industrial applications• Expert trainers in the field with industrial experience

This course is designed for operation directors and managers, production/process engineers, R&D engineers and IT support staff working on processes, production and quality improvement in manufacturing industries such as precision engineering, aerospace, automotive electronics, semiconductor, oil and gas, pharmaceutical and medtech.




For enquiries, please contact:Dr Li XiangEmail: [email protected]








02/2017

About the Course LeadersDr 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.

Dr Zhou Jun Hong is a Principal Research Engineer at SIMTech and also the OEE initiative lead in the MPTC center. She received her PhD in mechanical and aerospace from the Nanyang Technological University. She has over 15 years of research and industrial experience in factory automation, operation excellence, artificial intelligence, equipment condition monitoring and intelligent condition-based maintenance.

What You Will LearnFundamentals of Data Mining• Introduction to data mining concept and applications in manufacturing• Process correlation modelling and data pattern analyses through statistical methods • Advanced data clustering technologies for anomaly detection and classification• Process performance prediction using artificial intelligence (neural networks, etc)

Case Studies by Grouping Projects Using Real Production Data• Data preparation

- Problem statement - Technical challenges - Project objectives - Data collection and pre-processing• Data analysis

- Major factor identification by correlation coefficient analysis - Correlation modeling by multiple regression method and root cause analysis - K-means clustering and pattern based regression modeling - Correlation modeling by fuzzy neural networks method for quality estimation - What-if predictive analysis for process improvement & DOE design - Project conclusion• Improvement plan

- Identifying yield improvement areas - Production/process improvement plan

This module aims to provide learners with the knowledge and skills in machine interfacing, data acquisition, and supervisory control. They will gain hands-on experience from developing simple Human Machine Interface (HMI) to design supervisory control (SC) system for machine process monitoring and automated material handling system. This module will use a commercial SCADA software development tool during hands-on assignment sessions together with a PLC demonstration kit where the trainees will have to design two simple supervisory control systems: one for machine process monitoring and the other for automated material system. Case studies of industrial applications will be used to help the trainees understand the use of HMI & SC in a wider range of industries.

Who Should Attend

Why This Course

This course is designed for Human Machine Interface (HMI), supervisory control designers, equipment and process managers and engineers. It is also suitable for machine, line or cell system integrators, operations and maintenance managers and engineers, hardware and instrument specialists and project managers.






Design Human Machine Interface (HMI) and Supervisory Control (SC)(42 hours)



What You Will LearnWhat is Human-Machine Interface (HMI) & Supervisory Control (SC)• Overview of HMI and supervisory control• Fundamentals of PLC, Database and SCADA tools• Machine communications, standards, and interface methods• Project management and system development life cycle• Case Study 1: HMI for Stamping Machine Monitoring

How to Design a Supervisory Control System (SCS) for Process Monitoring• Requirements and system design considerations, interface methods• Case Study 2: Supervisory Control of a Thermal Bonding Machine• Hands-on Project 1: Building a supervisory control system for process monitoring (involving a Machine Controller,

database, and SCADA)

How to Design a HMI for Automated Material Handling System (AMHS)• Overview, System design considerations, PLC interface specifications• Case Study 3: HMI for an Automated Airfreight Terminal Control System• Hands-on Project 2: Building a HMI system for a pick and place machine (involving a PLC, database, and SCADA)

About the Course LeadersMr Wong Ming Mao is currently a Principal Research Engineer in SIMTech. He graduated from the University of Newcastle, Australia in 1989 with a BEng (Mechanical) and from the Nanyang Technological University with a MEng (Mechanical). He has over 20 years of research and industrial experience, with extensive project management in numerous enterprise systems and mission critical applications. He is a Certified Industrial Automation Consultant (CIAC) by the Singapore Industrial Automation Association and conducted training courses for the industries.

Dr Zhou Jun Hong is currently a Principal Research Engineer in SIMTech. She graduated from Tsinghua University with a BEng (Automation) in 1987 and from the Nanyang Technological University with a MEng (Electrical) in 1995. She has over 15 years of research and industrial experience in building automation, equipment health monitoring, intelligent condition based maintenance, fault diagnosis and failure prognosis for tool condition monitoring and rotary equipment fault diagnosis. She specialises in using SCADA for machine monitoring and supervisory control.







07/2017

required for full qualification pe wsq graduate … brochures/graduate... · the precision...

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