L
L. Y. Chan
Researcher at University of Hong Kong
Publications - 23
Citations - 1160
L. Y. Chan is an academic researcher from University of Hong Kong. The author has contributed to research in topics: Control chart & Job shop scheduling. The author has an hindex of 17, co-authored 23 publications receiving 1083 citations. Previous affiliations of L. Y. Chan include Agency for Science, Technology and Research & National University of Singapore.
Papers
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Journal ArticleDOI
Cumulative quantity control charts for monitoring production processes
TL;DR: In this article, the cumulative quantity control chart (CQC-chart) is introduced for monitoring high-yield processes with low defect rates, which can be used no matter whether the process defect rate is low or not.
Journal ArticleDOI
Substrate topography and size determine the fate of human embryonic stem cells to neuronal or glial lineage
Soneela Ankam,Mona Suryana,L. Y. Chan,Aung Aung Kywe Moe,Benjamin Kim Kiat Teo,J. B. K. Law,Michael P. Sheetz,Michael P. Sheetz,Hong Yee Low,Evelyn K.F. Yim +9 more
TL;DR: It was shown that optimal combination of topography and biochemical cues could shorten the differentiation period and allowed derivation of neurons bearing longer neurites that were aligned along the grating axis.
Journal ArticleDOI
Flexible job-shop scheduling problem under resource constraints
TL;DR: In this article, a genetic algorithm-based approach is developed to solve the problem of flexible job shop scheduling under resource constraints, which is an extension of classical job shop problems that permit an operation of each job to be processed by more than one machine.
Journal ArticleDOI
Senior management perspectives and ISO 9000 effectiveness: An empirical research
TL;DR: In this article, the authors conducted empirical research in the electronics industry to study how the "objectives of gaining ISO certification", the "attitudes to implementation" and "confidence of understanding the standard" among senior management affect the development of a quality management system (QMS) and subsequently organizational performance.
Book ChapterDOI
Nanotopography/mechanical induction of stem-cell differentiation.
TL;DR: This chapter will focus on discussing the effect on physical nanotopography on stem cell differentiation and the current theories on the topography/ mechanical force induction of stem cell differentiate possibly through integrin clustering, focal adhesion, cytoskeleton organization and the nuclear mechanosensing to sense and integrate these biophysical signals from the extracellular microenvironment.