70% or more WDA funding for Graduate Diploma

[Dr. Goh Kiah Mok]

Dear All

Good evening.

There is a new Graduate Diploma for Factory Visibility and Control by
SIMTech with WSQ starting in 2 July 2012. Singaporean and PR will get
70% WDA funding. Singapore and PR supported by SME will get even more.
Please contact me for more information or soft copy of the brochures .
The detail are in http://pe-wsq.simtech.a-star.edu.sg/fvc.htm or
download brochure from http://pe-wsq.simtech.a-star.edu.sg/brochures/Grad%20Dip%20in%20FV&C.pdf.

Thanks
Best Regards
Goh Kiah Mok (Dr.)
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Today's manufacturers must respond rapidly and effectively to
challenges in shortened product lifecycles, increased demand
variability, mass customisation, cost volatility, environmental
concerns, energy management and cost cutting pressure. To cope with
these challenges, manufacturing plants must be equipped with advanced
visibility and intelligence technology to predict and control
manufacturing system variability and fluctuation in production,
maximise resource availability and optimise resource utilisation, as
well as minimise energy usage and reduce wastes. The Graduate Diploma
course in Factory Visibility and Control is designed to provide both
the fundamental and practical knowledge in the application of
manufacturing execution and control technology for improving shop
floor productivity and efficiency. Specifically, trainees will be
trained on the application of manufacturing execution system,
supervisory control, real-time track and trace, advanced process
monitoring and optimisation with advanced data mining, and predictive
machine health monitoring incorporating advanced diagnostic and
prognostic techniques.


[ Who Should Attend ]
This course is suitable for professionals, managers, engineers and
technicians interested in the management and optimisation of shop
floor execution and control. Trainees will be awarded with the
Graduate Diploma upon completing and passing all the 5 modules.
Trainees are also welcome to select one or a few units, and they will
be awarded with a Statement of Attainment upon completion and passing
of that module.


[ Why This Course ]

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


[ Course Modules ]

Module 1: Manufacturing Execution System (MES)
This module aims to provide trainees with the principles of effective
manufacturing execution and control. It covers the concept and
standard in MES, and its application to improve process capability,
enhance planning & control, and quality. Case studies and practical
hands-on sessions are included for trainees to understand the key
concepts.

Course Outline
Introduction to MES: Metrics, Functions & Standards
Application of MES for Production Tracking and Product Genealogy
Application of MES for Resource Allocation and Equipment/Asset
Management



Module 2: Human-Machine Interface and Supervisory Control (HMISC)
This module provides the trainees with the knowledge and techniques in
machine interfacing, data acquisition, and supervisory control.
Trainees will gain hands-on experience from developing simple human
machine interface (HMI) to designing supervisory control system.

Course Outline
Fundamentals of HMI and supervisory control
Fundamentals of programmable logic controller and basic ladder logic
Machine communication and interface methods
HMI design and development
Supervisory control design



Module 3: Real-Time Track and Trace (RTT)
This module provides the trainees with the knowledge and techniques in
the application of advanced automatic identification technology
including RFID and real-time locating system for pinpointing the
location of critical resources and jobs in the factory shop floor.
Trainees will gain hands-on experience in configuring RFID and RTLS
system for tracking critical shop floor resources including people and
tool box. New concept such as RFID smartshelf will also be
introduced.

Course Outline
Introduction to Real-Time Track and Trace: RFID and RTLS
Application of RFID for production tracking
Application of RTLS Asset Tracking



Module 4: Manufacturing Data Mining (MDM)
This module provides a good understanding of fundamental data
warehouse and data mining techniques for different manufacturing
process applications. The trainees will learn how to use data mining
techniques like multiple regression, clustering, neural networks,
association rule mining to develop models for process or equipment
performance data analysis. Real-life case studies will be used to
illustrate the concepts and methodologies. Project assignments and
hands-on sessions are also provided for trainees to fully understand
the data mining techniques in the analysis of manufacturing process
performance.

Course Outline
Product Quality Management by Advanced Clustering Methods
Process Correlation Modelling and Data Pattern Analysis through
Statistic Methods
Process Performance Prediction using Neural Networks



Module 5: Machine Health Monitoring (MHM)
This module focuses on monitoring the machine condition to pre-empt
and avoid potential failure(s) so as to ensure high machine
availability. Topics include sensor selection, the techniques of data
logging and graphical user interface, basic signal processing for
fault identification, wireless sensing and concepts of condition
monitoring. Hands-on practice will be provided for trainees to master
practical experience. Projects will be assigned and graded as part of
the experiential learning approach.

Course Outline
Remote Machine Monitoring, Machine Availability, Reliability and
Maintainability
Overview of Industrial Applications and Standards in Machine Condition
Monitoring
Sensors for detecting machine conditions
Wireless Sensing
Data acquisition hardware selection and software design
Signal processing for fault diagnostics
Diagnosis Framework

[ Course Units ]
Click for schedule

[ When and Where ]

Commencement Date:
• 2 July 2012
• One year part-time course
• Two evening classes per week from 6.30pm to 9.30pm
• Registration is now opened

Venue:
Singapore Institute of Manufacturing Technology
71 Nanyang Drive, Singapore 638075

[ Course Fee ]
• Singaporeans and Permanent Residents are entitled to 70% WDA funding
• The course fee for the complete Graduate Diploma Programme is
$15,000 before WDA funding & GST
• The course fee for one module is $3,000 before WDA funding & GST


[ How to apply ]
Application is now open. Click the following
http://webis.simtech.a-star.edu.sg/survey/pp/html/wda_course_reg.htm

Please email your CV and academic certifications to pe-wsq@SIMTech.a-
star.edu.sg

[ Contact person ]


Dr Goh Kiah Mok
Tel: 6793 8420
Email: km...@SIMTech.a-star.edu.sg