Liao G.-L.,National Taitung University |
Sheu S.-H.,Providence University
International Journal of Production Economics | Year: 2011
This study applies periodic preventive maintenance (PM) to economic production quantity (EPQ) model for a randomly failing production process having a deteriorating production system with increasing hazard rate: minimal repaired and reworked upon failure (out of control state). The minimal repair performs restorations and returns the system to an operating state (in-control state). It is assumed that, after each PM, two types of PM are performed, namely imperfect PM and perfect PM. The probability that PM is perfect depends on the number of imperfect maintenance operations performed since the last renewal cycle. Mathematical formulas for the expected total cost are obtained. For the EPQ model, the optimum run time, required to minimize the total cost, is discussed. Various special cases are considered, including the maintenance learning effect. Finally, a numerical example is presented to illustrate the effect of PM and setup, breakdown and holding cost. © 2010 Elsevier B.V. All rights reserved.
Chen Y.-C.,National Taitung University |
Wu J.-H.,National Sun Yat - sen University
Information and Management | Year: 2011
Viewed from the perspective of the activity competency model (ACM) and prior theoretical works, we developed a conceptual framework for investigating the capability of IT management personnel and its impact on the performance of a CIO. A scale for measuring a CIO's effectiveness and management capability was developed and validated. A partial least squares method was used to test the conceptual model empirically and hypotheses were tested through data collected in a large-scale survey. The results supported the proposed framework, and confirmed our hypotheses that both IT and managerial competencies have positive significant impact on the effectiveness of a CIO. We also found that his or her IT management capability significantly impacted the CIO's performance. Our findings are likely to be of particular value to those concerned with IT management training and competency development for CIOs. © 2011 Elsevier B.V. All rights reserved.
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.
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
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.
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.
Lee C.-L.,National Taitung University
Applied Microbiology and Biotechnology | Year: 2015
Deep ocean water (DOW) is obtained from 600 m below the sea surface. In recent years, DOW has been applied in the development of fermentation biotechnologies and functional foods. DOW is rich in trace minerals, comprises multiple physiological and health functions, and is able to promote microbe growth; therefore, the application of DOW directly benefits the development of the fermentation industry and functional foods. This study integrated the current health functions and applications of DOW with the latest results from studies related to fermentation biotechnology. Subsequently, the influence of applying DOW in fermented functional food development and the effects in health function improvements were summarized. According to the previous studies, the main reasons for the increased effect of fermented functional foods through the application of DOW are increased generation of functional metabolite contents in the microbes, intrinsic health functions of DOW, and the microbial use of mechanisms of converting the absorbed inorganic ions into highly bioavailable organic ions for the human body. These combined advantages not only enhance the health functions of fermentation products but also provide fermentation products with the intrinsic health functions of DOW. © 2015, Springer-Verlag Berlin Heidelberg.
Huang H.-H.,National Taitung University
Advances in Information Sciences and Service Sciences | Year: 2012
In 2009, Huang and Ku presented a grouping proof protocol to ensure patient safety and prevent medication errors. This was followed in 2012 by Yu et al.'s proposal for a binding proof protocol using two additional variables and operations to provide off-line grouping proof. Despite Yu et al.'s claims that their lightweight binding proof protocol was suitable for providing grouping proofing and that it competitive with others, our analysis of the security of their protocol clearly demonstrated Yu et al.'s failure to improve the lightweight grouping proof in their protocol. Our analysis revealed the vulnerability of the protocol to an efficient attack aimed at disclosing the secret parameters of tags that would enable the attacker easily to produce forged proof for invalid tags.
Chiu T.-C.,National Taitung University
Talanta | Year: 2011
This paper describes the application of catechin-modified titanium dioxide nanoparticles (TiO 2 NPs) as matrices to analyze four steroid hormones by surface-assisted laser desorption/ionization mass spectrometry (SALDI-MS). The catechin-modified TiO 2 NPs have high absorbance at 337 nm and are effective SALDI matrices when using a nitrogen laser. Four test steroid hormones - cortisone, hydrocortisone, progesterone, and testosterone - were directly analyzed by SALDI-MS. The limits of detection at a signal-to-noise ratio of 3 for cortisone, hydrocortisone, progesterone, and testosterone were 1.62, 0.70, 0.66, and 0.23 μM, respectively. This approach provides good quantitative linearity for the four analytes (R 2 > 0.986) with good reproducibility (the shot-to-shot and batch-to-batch variations for the four analytes were less than 10% and 15%, respectively). We validated the practicality of this approach - considering its advantages in sensitivity, repeatability, rapidity, and simplicity - through the analysis of testosterone in a urine sample. © 2011 Elsevier B.V. All rights reserved.