IEMS 2020

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Recent Submissions

Now showing 1 - 5 of 22
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    Drivers and barriers of advanced manufacturing technology implementation in Saudi Arabia
    (Industry, Engineering & Conference Management Systems Conference, 2020-03) Al Fatais, Abdullah; Almuflih, Ali
    The purpose of this paper is to present a systematic literature review to identify opportunities and challenges that face Advanced Manufacturing Technology (AMT) adoption in Saudi industrial sector. It also highlights the critical factors behind those opportunities and challenges, which need to be taken into consideration when it comes to AMT implementation. This study uses a systematic review of the literature contained in the two databases ProQuest, and Compendex and on the search engine Google Scholar. Moreover, the study highlights a gap in the research efforts for identifying the need for effective integration and interaction between the eight different categories mentioned previously for both developed and developing economies. For that reason, it is recommended that researchers adopt a broader view that includes the role of integration and interaction between critical factors in each category and their impact on AMT adoption. The systematic literature review in this study used to review all vital elements of adopting AMT and identifies new research avenues and different approaches to implementing AMT, focusing on the integration between the different categories that can be used for AMT adoption in Saudi Arabia.
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    Effects of verbal versus graphical weather information on a pilot's decision-making during preflight
    (Industry, Engineering & Conference Management Systems Conference, 2020-03) Pittorie, Warren; Carstens, Deborah S.; Carroll, Meredith
    This study focused on the older technology of a verbal preflight weather briefing compared with the newer and emerging technology of digital textual and graphical weather pertinent to the flight route the pilot has chosen. The target population for this study was aviation students and instructors at Part 61 and 141 flight schools across the country. The accessible population for this study was flight students at a Florida university that had at least a private pilot's license through being employed as flight instructors. The 36 participants were selected from the accessible population based upon their availability and willingness to participate in the study. Institutional Review Board (IRB) approval was obtained from the university before conducting trials with human subjects. Two weather scenarios were selected for the trials. Participants were assigned to one of four groups based on the order of the two formats, verbal or visual (graphical/textual), for the two different scenarios. Four open-ended questions for the two weather scenarios were given to participants, which resulted in a total of eight open-ended questions per participant. The open-ended questions designed and included in the instrument captured the "why" behind pilots' decision to "go" or "no-go." The qualitative analysis software, Nvivo®, was used to analyze the four open-ended questions for each of the two weather scenarios. To visualize this data, a diagram was formed. The study results, discussion, and future research are presented in the paper.
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    Universidad Autónoma de Santo Domingo energy forecast
    (Industry, Engineering & Conference Management Systems Conference, 2020-03) Llaugel, Felipe; Ridley, Dennis; Cespedes, Amparo
    Energy time series data for Universidad Autónoma de Santo Domingo is analyzed and forecast by the moving window spectral method to capture cyclical components and effects. The historical record is 217 months from March 2001 to March 2019. A model is fitted to 205 historical observations from March 2001 to March 2018. The forecast period is 12 months from April 2018 to March 2019. The two overlapping 12 actual and forecast months are compared.
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    Consumer choice AHP using standard open source tools
    (Industry, Engineering & Conference Management Systems Conference, 2020-03) Adams, William J. L.; Stryker III, Judson P.
    The Analytic Hierarchy Process (AHP) is an approach to multi-criteria decision analysis developed by Dr. Thomas Saaty et al. in the 1970's. The open source Python module pyanp is a library that can read in AHP/ANP models in various formats and perform the standard AHP/ANP theoretic calculations. Another open source library for performing AHP/ANP related calculations is anpjs, this one is written in JavaScript. In this research we extend both pyanp and anpjs to use Likert-type verbal votes for AHP pairwise comparison. We use a specially formatted Google Forms questionnaire to solicit participant pairwise preferences using our Likert-type scale, and tie that output to a Google sheet. We created Python and JavaScript libraries to convert the verbal votes into a standard numeric pairwise comparison matrix and sent that information on to the pyanp and anpjs libraries for use with calculations. We designed an AHP tree model for consumer choice of cell phones and created expert ratings for our cell phone choices with respect to the bottom level criteria of our model. We used that AHP tree model to design our Google Forms questionnaire so that the resulting spreadsheet could be parsed by pyanp and anpjs for analysis. Participants in the Google Forms questionnaire are dropped into a results mini application where they can explore how their preferences are shaped by the numerical meaning of the Likert voting scale. Additionally, we designed a Jupyter notebook for analyzing the results of all participants in this questionnaire using pyanp and matplotlib.
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    Study of kinematic and kinetic aspects of mechanisms using tools of CAD solid modelers
    (Industry, Engineering & Conference Management Systems Conference, 2020-03) McDonald, Blair J.; Ravikumar, Prathivadi; Shin, Il-Seop; Zbeeb, Khaled; N., Puneeth
    In engineering education, the kinematic and kinetic study of mechanisms is a subject that is as challenging to teach as it is to learn. Modern computer aided design (CAD) and solid modeling software, such as SolidWorks, enables the synthesis, analysis and evaluation of mechanisms throughout the design process and in greater detail than has ever been available. In the past, a designer carefully selected a limited number of instants in time where position, velocity, acceleration, force and torque were painstakingly determined to evaluate performance. This was a complex process that required skill and attention to detail. Now, using solid modeler tools such as Sketch, Assembly and Motion Study, these parameters can be continuously evaluated throughout the cycle of a mechanism whether it be simple or complex. As an example, a relatively simple rocker linkage is modeled. The results of motion parameters at specific stages of the cycle are determined theoretically and compared to those obtained using the solid modeler.