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Titlebook: Recent Advances in Industrial and Systems Engineering; Select Proceedings o S. G. Ponnambalam,Purushothaman Damodaran,J. Paulo Conference p

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發(fā)表于 2025-3-21 20:06:50 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Recent Advances in Industrial and Systems Engineering
副標(biāo)題Select Proceedings o
編輯S. G. Ponnambalam,Purushothaman Damodaran,J. Paulo
視頻videohttp://file.papertrans.cn/823/822774/822774.mp4
概述Presents select proceedings of ARISE 2023.Examines a range of topics on recent advances in manufacturing and service operations.Covers digitalization and sustainability challenges for building resilie
叢書名稱Lecture Notes on Multidisciplinary Industrial Engineering
圖書封面Titlebook: Recent Advances in Industrial and Systems Engineering; Select Proceedings o S. G. Ponnambalam,Purushothaman Damodaran,J. Paulo Conference p
描述.This book presents select proceedings of the International Conference on Recent Advances in Industrial and Systems Engineering (RAISE 2023). It covers the latest research in the areas of industrial and systems engineering, including manufacturing, supply chain digitalization, resilience, and sustainability. Various topics covered in this book are additive manufacturing, artificial intelligence, modeling and simulation, production planning and management, digital manufacturing, and many more. This book is useful for researchers and professionals working in the areas of industrial and production engineering, supply chain management, quality control, and allied fields..
出版日期Conference proceedings 2024
關(guān)鍵詞Industrial Engineering; Manufacturing and Services Operations Management; Logistics; Supply Chain Manag
版次1
doihttps://doi.org/10.1007/978-981-97-4700-9
isbn_softcover978-981-97-4702-3
isbn_ebook978-981-97-4700-9Series ISSN 2522-5022 Series E-ISSN 2522-5030
issn_series 2522-5022
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Optimization of Energy Consumption and Lead Time Using Industry 4.0f equipment digitally; following a month of testing, the findings were compared with past results achieved without IoT sensors, optimal approach derived from the data using the software UPPAAL, PSO tool in MATLAB was standardized, and the optimized data was further monitored by a cloud manufacturing platform known as ThingsBoard.
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Optimization of Healthcare System Layout to Improve Patient Experienceade in the layout. The optimal layout is then designed using FlexSim. Using software- ARENA, C?+??+?, SolidWorks, and FlexSim has helped us to analyze the situation and interpret the results accordingly.
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Efficient VLSI Implementation of Image Denoising Using Hybrid Median Filter combinations of nine pixels, determining the median value from this set. From the result, it indicates that the proposed resilient hybrid median filter outperforms than existing approaches. It excels by means of noise reduction and hardware metrics such as LUT usage, delay, and power consumption.
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Health Monitoring Using Wireless Body Area NetworksAN utilizes clinical groups to acquire physiological information from sensor hubs. This review report centers on creating and executing remote body region network innovation (WBAN) in medical services systems. Moreover, the study proposes ways of improving and keeps up with the constancy of WBAN.
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發(fā)表于 2025-3-22 17:32:44 | 只看該作者
IoT-Based System for Health Care of Textile Machinesbles data transfer. The yarn breakages are also observed for a spindle speed of 24,000?rpm. On training the neural network using the sensor data, the yarn breakages are predicted for any data captured real time. The simulation results show a mean squared error of .002. This would prevent the machines from breakdown and hence save downtime.
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Sustainable Color Code Generation for Skin and Hair Coloring Through Value Improvement of Herbal Hencarried out an experiment pertaining to henna with regard to what recipe would yield what color. Based on the results of this experiment, we will be able to customize the henna recipe according to the preferences of the consumer.
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Resilient Scheduling Heuristic for Single Machine Systems to Minimize Variance of Job Completion Timtrends in technology and availability of abundance data has led to digital transformation of manufacturing processes. The manufacturing system may consist of machines in parallel and/or in series. Typically, when we have a bottleneck machine in a manufacturing system, the problem reduces to that of
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