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"IBM Quality Early Warning System: Driving better quality through advanced analytics"
by Shu Chen Lim & Lenz Pan Wei Chih
Speakers:
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Shu Chen Lim
Growth Markets Leader
IBM Integrated Supply Chain Engineering Services |
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Lenz Pan Wei Chih
Project Manager
ISC Product Engineering Services
IBM Ireland Product Distribution Limited Singapore Branch (IPDL SG) |
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Date:
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25 March 2013 (Monday) |
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Venue:
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Seminar Room 2.4,
School of Information Systems |
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Programme:
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6.30 pm - 7.00 pm Registration |
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7.00 pm - 8.00 pm Seminar Delivery |
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8.00 pm - 8.30 pm Q&A |
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Registration:
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Please register on line.
For External Visitors, please
Register Here |
Synopsis
High-velocity, high-volume supply chains make quality problems difficult to detect early, and costly to fix late in the process. Traditional Statistical Process Control (SPC) is not sufficient at detecting subtle emerging problems.
Quality and supply chain managers need advanced techniques to examine quality from tens of thousands of parts- so as to provide better, more pro-active quality management. In today's high velocity supply chains, it has been exceedingly difficult to detect quality problems "early", and avoid cost associated with fixes later in the process. Traditional Statistical Process Control (SPC) is poor at detecting subtle emerging problems. While better analytics methods have been generally available but given the complex computational challenges, and software implementation constraints it has been hard to implement analytic solution to a scale that is useful.
IBM's Quality Early Warning System (QEWS) solves a widespread and important challenge which has persisted in business for decades: how to get earlier detection of emerging quality problems and actionable information about these problems in order to save money and improve customer satisfaction.
In this seminar, attendees will learn how IBM's QEWS approach provides an enterprise wide solution and to capture the opportunity of earlier, predictive detection of emerging quality problems at a low rate of false alarms, and thus provide a competitive advantage in cost and quality to an enterprise.
About the Speakers
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Shu Chen Lim
Shu Chen Lim is Growth Markets Leader of IBM Integrated Supply Chain Engineering Services. Shu Chen is helping businesses of all shapes and sizes to practically and effectively transform their Supply Chain.
Shu Chen has over 25+ years of industry experience and has held various leadership roles in IBM development, manufacturing, procurement and engineering organizations. He brings a wealth of global experience having spent 16+ years on international assignments in Scotland, China, Ireland, USA and Hong Kong.
Shu Chen graduated from the University of Western Ontario, Canada with a Bachelor of Engineering Science and has not stopped learning through www!
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Lenz Pan Wei Chih
Lenz Pan is a Project Manager for ISC Product Engineering Services in IBM Ireland Product Distribution Limited Singapore Branch (IPDL SG). He possess 13 years of industry experience covering fields on materials/process development, new product introduction, project management and failure analysis. He is a certified New Product Development Professional (NPDP®) from Product Development and Management Association, demonstrating capabilities on product and innovation management. A Certified Process Professional (CPP®) trained in Customer Expectation Management Method (CEMMethodTM) from BPGroup, UK.
Prior to IBM, he works in Solectron Technologies (currently Flextronics) as a Senior Process Development Engineer, Motorola Laboratory as a Senior Development Engineer and Singapore Asahi Chemicals as the Principal Metallurgist.
Lenz graduated from the National University of Singapore with a Master of Science (Materials Science), and from Nanyang Technological University with a Bachelor of Applied Science (Materials Engineering).
He possess 1 patent (solder material), and another patent pending which involves a non-conventional fluid moving device. He has written and presented papers with an IPC Best Paper award in 2007 on the use of EDXRF for RoHS.
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