IJSDR
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: April 2024

Volume 9 | Issue 4

Impact factor: 8.15

Click Here For more Info

Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter

Copyright Infringement Claims
Indexing Partner
Published Paper Details
Paper Title: From Manual to Automated Machines: A Comparative Study on Efficiency and Productivity
Authors Name: Sarvagya dubey , Neha Chauhan
Unique Id: IJSDR2305324
Published In: Volume 8 Issue 5, May-2023
Abstract: This thesis presents a comprehensive investigation into the transition from manual machines to automated machines within the manufacturing industry. The aim of this study is to assess the impact of automation on efficiency and productivity and to analyze the benefits and challenges associated with this technological shift. To achieve this objective, a mixed-methods approach was employed. Firstly, a systematic literature review was conducted to gather insights from existing research and identify the key factors influencing the adoption of automated machines. Subsequently, a case study was carried out in a manufacturing facility to collect empirical data on the performance metrics of both manual and automated machines. The results of the study reveal significant improvements in efficiency and productivity following the implementation of automated machines. The automated machines demonstrated higher production rates, reduced downtime, and improved accuracy compared to their manual counterparts. Additionally, the study highlights the potential for cost savings and increased profitability through labor optimization and reduced error rates. However, the transition from manual to automated machines is not without challenges. The study identifies factors such as initial investment costs, technical complexities, and the need for skilled personnel for maintenance and operation as potential barriers to widespread adoption. Moreover, the social implications of automation, including job displacement and worker retraining, require careful consideration. In conclusion, this research provides valuable insights into the shift from manual to automated machines in the manufacturing industry. The findings support the notion that automation can significantly enhance efficiency and productivity. However, successful implementation requires a holistic approach, addressing not only technical aspects but also economic, social, and organizational factors. This study contributes to the ongoing discourse on automation and offers practical recommendations for organizations considering or undergoing this transition.
Keywords: Manual machines, Automated machines, Efficiency, Productivity, Manufacturing industry, Technology adoption, Case study, Cost savings, Job displacement.
Cite Article: "From Manual to Automated Machines: A Comparative Study on Efficiency and Productivity", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.2049 - 2052, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305324.pdf
Downloads: 000337070
Publication Details: Published Paper ID: IJSDR2305324
Registration ID:206740
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 2049 - 2052
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

Click Here to Download This Article

Article Preview

Click here for Article Preview







Major Indexing from www.ijsdr.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

Track Paper
Important Links
Conference Proposal
ISSN
DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Creative Commons License
This material is Open Knowledge
This material is Open Data
This material is Open Content
Social Media
IJSDR

Indexing Partner