
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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The Impact of Automation on Cycle Time Reduction: Insights from PLC Programming in Manufacturing
Author(s) | Priyanka Das |
---|---|
Country | United States |
Abstract | The application of PLC, an advanced digital controller, has dramatically shifted the manufacturing process by incorporating high levels of industrial automation. This paper examines new highly valued skills in computer programming for improving cycle time and enhancing automated manufacturing systems. It provides examples of how complex programming enhances production effectiveness by examining interrupt-based applications, memory management systems such as Hermes, and parallel processing features of a PLC. This study also focuses on expanding automation using PLC in significant manufacturing processes such as material handling systems, assembly line operations, and packaging facilities. Other innovations include enhanced guided vehicles, simultaneous operation of multiple stations, and integrated motion control for high-speed packaging. The study shows that high precision, increased speed, and manufacturing quality control are made possible when using the technology in many manufacturing applications while minimizing human interference and operation costs. The paper will immensely benefit manufacturing practitioners needing practical and proven guidelines on improving productivity and minimizing cycle time through PLC technology within industries. |
Keywords | PLC Programming, Manufacturing Automation, Cycle Time Reduction, Memory Management, Process Control |
Field | Engineering |
Published In | Volume 6, Issue 1, January-February 2024 |
Published On | 2024-01-09 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i01.21883 |
Short DOI | https://doi.org/g82hqz |
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E-ISSN 2582-2160

CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
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