IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 10

Issue Published : 115

Article Submitted : 19459

Article Published : 8041

Total Authors : 21252

Total Reviewer : 769

Total Countries : 145

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Design and Development of an Automated Part Retrieval Mast for inventory Management
Authors Name: Amritbalaji K , Vignesh T , Annamalaisamy , Chandru P , Deepakkumar G
Download E-Certificate: Download
Author Reg. ID:
IJRTI_202968
Published Paper Id: IJRTI2504288
Published In: Volume 10 Issue 4, April-2025
DOI:
Abstract: An automated mast rover is designed for efficient inventory management in industrial environments. The system retrieves a nut or bolt tray from an inventory shelf, picks the required quantity specified by the user through an IoT application, and delivers the selected items using a robotic arm. The rover follows a line-following navigation system and employs a combination of chain drives for X-Y axis movement and a rack-and-pinion mechanism for Z-axis vertical motion. The robotic arm executes precise pick-and-place operations based on the user input. This research discusses the mechanical design, control system, IoT-based integration, and performance analysis of retrieval accuracy, speed, and efficiency in industrial applications.
Keywords: Inventory management, IoT, Automated mast rover, Line-following, Robotic arm, Chain drive, Rack-and-pinion, Pick-and-place.
Cite Article: "Design and Development of an Automated Part Retrieval Mast for inventory Management", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.c530-c537, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504288.pdf
Downloads: 000501
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2504288
Registration ID:202968
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: c530-c537
Country: Trichirapalli, TamilNadu, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504288
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504288
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.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

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

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

Important Details

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner