Liao G.-L.,National Taitung University
International Journal of Systems Science | Year: 2013
This study examines the feasibility of using an economic production quantity (EPQ) model incorporating maintenance and production programs to model an imperfect process involving a deteriorating production system. In response to failure, defective parts were produced and minimal repairs performed to create an in-control state. The conditions are studied in the case of the EPQ model undergoing a backorder owing to rejection of defective parts after a failure. Following production run period, two types of periodic preventive maintenance (PM) exist: imperfect and perfect. The probability of perfect PM being performed depends on the number of imperfect PM performed since the last renewal cycle. For the EPQ model, the optimal run time for minimising the total cost is discussed. Various special cases are considered, including the PM learning effect. Finally, this investigation presents a numerical example to illustrate the effects of PM ability, repair cost and defect number on total costs and production period. This study finds that enhancing maintenance ability reduces production related costs. The product system can be produced more efficiently using a PM program. © 2013 Taylor & Francis Group, LLC.
Chiu T.-C.,National Taitung University
Analytical and Bioanalytical Chemistry | Year: 2013
This article highlights recent methodological developments in the on-line concentration and separation of amino acids and their enantiomers using capillary electrophoresis. Sections are dedicated to recent contributions to on-line concentration strategies such as field-amplified sample stacking, large-volume sample stacking, dynamic pH junction, transient isotachophoresis, sweeping, and the combination of two methods. The main applications, advantages, and limitations of these procedures in the biological, food, and pharmaceutical fields are addressed. Comprehensive tables listing on-line techniques for the concentration and separation of amino acids and their enantiomers, categorized by the stacking strategies used, background electrolytes, sample matrix, limit of detection, and enhancement factor, are provided. [Figure not available: see fulltext.] © 2013 Springer-Verlag Berlin Heidelberg.
Chen I.-W.P.,National Taitung University
Chemical Communications | Year: 2013
Creating superior electrical properties from macroscopic assembly of carbon nanotubes (CNTs) to replace metal is still an unaccomplished goal. Here we report a noncovalent functionalization method to connect individual CNTs with an electrical conductivity reaching 9150 S cm-1 and the mechanical properties can be increased by an order of 1-2. © The Royal Society of Chemistry 2013.
Hsieh K.-L.,National Taitung University
Robotics and Computer-Integrated Manufacturing | Year: 2010
The ability to improve yield is an important competitiveness determinant for thin-film transistor-liquid crystal displays (TFT-LCD) factories. Until now, few studies were proposed to address the related issues for process analysis in TFT-LCD industry. Therefore, the information (e.g. the domain knowledge or the parameter effect) or the improvement chance hidden from process analysis will be frequently omitted. That is, the yield or yield loss model construction, the critical manufacturing processes (or layers) and the clustering effect based on the abnormal position (or defect) on TFT-LCD glasses will became the important issues to be addressed in TFT-LCD industry. In this study, we proposed an integrated procedure incorporating the data mining techniques, e.g. artificial neural networks (ANNs) and stepwise regression techniques, to achieve the construction of yield loss model, the effect analysis of manufacturing process and the clustering analysis of abnormal position (or it can be viewed as defect) for TFT-LCD products. Besides, an illustrative case owing to TFT-LCD manufacturer at Tainan Science Park in Taiwan will be applied to verifying the rationality and feasibility of our proposed procedure. Crown Copyright © 2009.
Chiu T.-C.,National Taitung University
International Journal of Molecular Sciences | Year: 2014
Identifying trace amounts of bacteria rapidly, accurately, selectively, and with high sensitivity is important to ensuring the safety of food and diagnosing infectious bacterial diseases. Microbial diseases constitute the major cause of death in many developing and developed countries of the world. The early detection of pathogenic bacteria is crucial in preventing, treating, and containing the spread of infections, and there is an urgent requirement for sensitive, specific, and accurate diagnostic tests. Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) is an extremely selective and sensitive analytical tool that can be used to characterize different species of pathogenic bacteria. Various functionalized or unmodified nanomaterials can be used as affinity probes to capture and concentrate microorganisms. Recent developments in bacterial detection using nanomaterials-assisted MALDI-MS approaches are highlighted in this article. A comprehensive table listing MALDI-MS approaches for identifying pathogenic bacteria, categorized by the nanomaterials used, is provided. © 2014 by the authors; licensee MDPI, Basel, Switzerland.