90% WDA funding for graduate diploma in Factory Visibility and Control (FV&C)

[Dr. Goh Kiah Mok]

Dear All

Good afternoon. WDA has increase the funding for Singaporean and PR
supported by SME to 90%. For Singaporean and PR who are self funded or
support by non-SME will still get 70% funding. The course will Start
in 2 July and there is a class limit. Please sign up ASAP.

Please contact me for more information
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.


There are other courses. Do contact me for soft copy of the brochures
* WDA Certificate Course on Operations Management Innovation (OMNI)
the same WDA funding apply
* Master Class on Designing and Implementing Automated Health
Management, Life Cycle and Risk Management Systems. The funding is
difference

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
Email: km...@SIMTech.a-star.edu.sg