146 research outputs found

    A logistics approach to managing the millennium information systems problem

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    The prevailing discipline in dealing with the Year 2000 computer problem tends to be logistics, which is the main focus of this paper. However, the Year 2000 computing problem is considered a multi‐disciplinary problem, as it concerns fields of information systems, maintenance, decision making and crisis and risk management. The millennium problem is increasingly critical yet still it seems there is no systematic and unified approach that considers multiple criteria. The paper analyzes the process of formulating and evaluating an appropriate strategy using multiple criteria decision making (MCDM), based on the analytical hierarchy process (AHP), in order to deal with the millennium problem. The proposed methodology is developed to systematize the decision process. The model used was constructed to provide a generic framework for the formulation of an appropriate millennium problem‐solving strategy. The methodology is described and important issues of consistency and resource allocation, using the knapsack method, are tested.</jats:p

    Automating the determination of wave speed using the pu-loop method

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    The PU-loop (pressure-velocity loop) is a method for determining wave speed and relies on the linear relationship between the pressure and velocity in the absence of reflected waves. This linearity of the PU-loop during early systole, which is directly related to wave speed, has always been established by eye. This paper presents a new technique that establishes this linearity and thus determining wave speed online. Pressure and flow were measured in the ascending aorta of 11 anesthetised dogs. The slope of the PU-loop, indicating wave speed was determined by eye and by using the new technique. The difference between the slopes of the two methods is in the order of 3%. The new technique is convenient and allows for the online assessment of wave speed, which could be used as a bedside tool for the assessment of arterial compliance

    On the optimization of maintenance storage cost in industry a fuzzy logic application

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    Purpose The purpose of this paper is to construct a fuzzy logic model that acts as a decision support system to minimize inventory-related costs in the field of industrial maintenance. Achieving a balance between the unavailability and over-storage of spare parts is a problem with potentially significant consequences. That significance increases proportionally with the ever-increasing challenge of reducing overall cost. Either scenario can result in substantial financial losses because of the interruption of production or the costs of tied-up capital, also called the “solidification of capital.” Moreover, there is that additional problem of the expiry of parts on the shelf. Design/methodology/approach The proposed approach relies on inputs from experts with consideration for incompleteness and inaccuracy. Two levels of decision are considered simultaneously. The first is whether a part should be stored or ordered when needed. The second involves comparing suppliers with their batch-size offers based on user-determined criteria. A mathematical model is developed in parallel for validation. Findings The results indicate that the fuzzy logic approach is accurate and satisfactory for this application and that it is advantageous because of its limited sensitivity to the inaccuracy and/or incompleteness of data. In addition, the approach is practical because it requires minimal user effort. Originality/value To the best of the authors’ knowledge, the exploitation of fuzzy-logic altogether with limited sensitivity experts' inputs were never combined for the solution of this particular problem; however, this approach's positive impact is expected to be highly significant in solving a chronic problem in industry

    Publisher Correction: Synthesis of Saccharumoside-B analogue with potential of antiproliferative and pro-apoptotic activities (Scientific Reports, (2017), 7, 1, (8309), 10.1038/s41598-017-05832-w)

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    In the original version of this Article, Ghulam Md Ashraf was incorrectly affiliated with ‘Enzymoics and Novel Global Community Educational Foundation, Hebersham, NSW, Australia’. The correct affiliation is listed below. King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia. Additionally, within the Supplementary Information file originally published with this Article, authors Vijaya Rao Pidugu, Mohammad A. Kamal, Ghulam Md Ashraf, Vadim V. Tarasov, Vladimir N. Chubarev, Sergey G. Klochkov, George E. Barreto and Sergey O. Bachurin were omitted. These errors have now been corrected in the PDF and HTML versions of the Article, and in the accompanying Supplementary material. © 2020, The Author(s).Universidad Autónoma de Chil
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