Showing 1,021 - 1,040 results of 4,159 for search '"Manufacturing ', query time: 0.10s Refine Results
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    ADOPTION OF ARTIFICIAL INTELLIGENCE AND DIGITAL SUPPLY CHAIN FOR ENHANCING SUPPLY CHAIN PERFORMANCE: MEDIATING ROLE OF GREEN SUPPLY CHAIN PROCESS by Abdulaziz Aljoghaiman, Sanjar Mirzaliev

    Published 2024-12-01
    “… : Research empirically tested the impact of artificial intelligence adoption and digital supply chains on supply chain performance with the mediating effect of green supply chain process of manufacturing companies in Saudi Arabia. For this purpose, cross-sectional data collected from 330 employees working in manufacturing firms’ by using self-administered questionnaires and employing a convenient sampling technique. …”
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    3D Coaxial Printing of Small‐Diameter Artificial Arteries by Yuxiang Zhu, Siying Liu, Xuan Mei, Zeng Lin, Tiffany V. Pulido, Jixin Hou, Srikar Anudeep Remani, Dhanush Patil, Martin Taylor Sobczak, Arunachalam Ramanathan, Sri Vaishnavi Thummalapalli, Lindsay B. Chambers, Churan Yu, Shenghan Guo, Yiping Zhao, Yang Liu, Xianqiao Wang, Jessica N. Lancaster, Yu Shrike Zhang, Xiangfan Chen, Kenan Song

    Published 2025-02-01
    “…The gelation study of natural polymers and the utilization of sacrificial phase enables the smooth extrusion of the multiphase conduit, where computer‐assisted image analysis is employed to quantify manufacturing fidelity. The cell viability tests demonstrate the cytocompatibility of the gelatin methacryloyl (GelMA)/sodium alginate grafts, suggesting potential for further clinical research with further developments. …”
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    Fuzzy Interpolation and Other Interpolation Methods Used in Robot Calibrations by Ying Bai, Nailong Guo, Gerald Agbegha

    Published 2012-01-01
    “…A novel interpolation algorithm, fuzzy interpolation, is presented and compared with other popular interpolation methods widely implemented in industrial robots calibrations and manufacturing applications. Different interpolation algorithms have been developed, reported, and implemented in many industrial robot calibrations and manufacturing processes in recent years. …”
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    COMPARATIVE ANALYSIS OF THE FOAM GLASS GRAVEL TYPES EXPERIMENTALLY PRODUCED BY MICROWAVE IRRADIATION by FELICIA COSMULESCU, LUCIAN PAUNESCU, MARIUS FLORIN DRAGOESCU, SORIN MIRCEA AXINTE

    Published 2020-07-01
    “… The paper presents an unconventional technique for manufacturing foam glass gravel. The numerous experimental results obtained by the authors in the last year using various manufacturing recipes common in the world industrial production by conventional techniques were selected and subjected to a qualitative and energy efficiency comparative analysis, aiming to determine the best foam glass gravel manufacturing procedure under the conditions of the use of the microwave energy. …”
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    PCB Drill Path Optimization by Combinatorial Cuckoo Search Algorithm by Wei Chen Esmonde Lim, G. Kanagaraj, S. G. Ponnambalam

    Published 2014-01-01
    “…Optimization of drill path can lead to significant reduction in machining time which directly improves productivity of manufacturing systems. In a batch production of a large number of items to be drilled such as printed circuit boards (PCB), the travel time of the drilling device is a significant portion of the overall manufacturing process. …”
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    Scope and trends of the digital transformation in the world industry by E. N. Smirnov, M. Yu. Antropova

    Published 2022-07-01
    “…Digital transformation in manufacturing means improving traditional manufacturing processes with the help of digital technologies. …”
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    Study and Analysis of Barriers for Implementation of Industry 4.0 Technologies Using Spherical Fuzzy TOPSIS Method by Akshay Kumar, Chimata Murli Krishna

    Published 2025-01-01
    “…The objective of this research work is to study and analyze the most influential barriers, and minimize their effect for successful implementation of industry 4.0 technologies in the manufacturing industry. The identified barriers are classified into (i) operational, (ii) technical, and (iii) social barriers. …”
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    A Novel Output Prediction Method in Production Management Based on Parameter Evaluation Using DHNN by Jiantao Chang, Yuanying Qiu, Xianguang Kong

    Published 2013-01-01
    “…First, a traditional multiple linear regression model is established; this model takes the factors in production lifecycle (not only one phase of the production) into account, such as manufacturing resources, manufacturing process, and product rejection rate, so it makes the output prediction be more accurate. …”
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