Automation in Production Systems: Enhancing Efficiency and Reducing Costs in Mechanical Engineering

This paper explores the role of automation in production systems within the mechanical engineering sector, focusing on its impact on efficiency, cost reduction, product quality, and scalability. It discusses the history and key concepts of automation, various technologies involved (including robotics, CNC machines, and IoT), and global trends influencing adoption. The paper also examines the benefits and challenges of automation, offering case studies from the automotive, aerospace, and consumer electronics industries. Future trends such as AI, machine learning, and collaborative robots are discussed, highlighting their potential to enhance production processes. The findings underscore the importance of continued investment in automation technologies to drive innovation and productivity in mechanical engineering.

Authors

Publication Details

Journal
Nanotechnology Perceptions
Published
2024-09-26
DOI
https://doi.org/10.62441/nano-ntp.vi.3895
Citations
6
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
2.09
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automation in Production Systems: Enhancing Efficiency and Reducing Costs in Mechanical Engineering

C Deepika, Khamar Taj, Parashuram Bedar
6 citations
Nanotechnology Perceptions
Digital Transformation in Industry
2.09
article

Automation in Production Systems: Enhancing Efficiency and Reducing Costs in Mechanical Engineering

C Deepika, Khamar Taj, Parashuram Bedar
article en
6 citations

Abstract

This paper explores the role of automation in production systems within the mechanical engineering sector, focusing on its impact on efficiency, cost reduction, product quality, and scalability. It discusses the history and key concepts of automation, various technologies involved (including robotics, CNC machines, and IoT), and global trends influencing adoption. The paper also examines the benefits and challenges of automation, offering case studies from the automotive, aerospace, and consumer electronics industries. Future trends such as AI, machine learning, and collaborative robots are discussed, highlighting their potential to enhance production processes. The findings underscore the importance of continued investment in automation technologies to drive innovation and productivity in mechanical engineering.

Nanotechnology Perceptions
Industry, innovation and infrastructure
Openalex Percentile: Top 11%
Digital Transformation in Industry
2.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Automation in Production Systems: Enhancing Efficiency and Reducing Costs in Mechanical Engineering — C Deepika, Khamar Taj, et al. · Nanotechnology Perceptions (2024) | TGRS Research Map | TGRS