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Smart Warehouse Testbed From Conceptual Framework to a Real Project

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posted on 2024-11-01, 03:37 authored by Ngoc-Huan Le, Ngoc-Bich Le, Kha KieuKha Kieu, Xuan-Hung Nguyen, Vu-Anh-Tram Nguyen, Tran-Thuy-Duong Ninh, Duc-Canh Nguyen, Narayan Debnath
This chapter analyzes and proposes methods for utilizing artificial intelligence (AI) in the development of smart warehouses in response to the crucial role and rapid expansion of smart warehouses. This study intends to produce value strategies and AI-powered solutions for the smart warehouse to increase warehouse process efficiency and bolster the logistics sector’s competitive edge, particularly in Vietnam. In addition, this chapter presents a scale model of a smart warehouse system that uses cutting-edge technologies to manage a warehouse with the main objectives of improving operational efficiency, better meeting customer expectations, and eventually giving businesses in the logistics market a competitive advantage. The Eastern International University (EIU) smart warehouse testbed is an application testing facility that makes use of a 1:10 scale replica of a real system with features including automatic guided vehicles, RFID, a PLC system, and a warehouse management system. In one dual-rack system, up to 196 packets of three different sizes (0.5 kg [green], 1 kg [yellow], and 1.5 kg [red]) may be kept. A wide range of stakeholders, including students, professors, researchers, and businesses, benefit from the initiative. From an academic perspective, students benefit from a highly practical learning environment when dealing with the topics relevant to Industry 4.0 (I4.0) and digital transformation. The faculty, on the other hand, has a great environment for an in-depth study of supply chain management with a particular focus on warehouse management.

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Related Materials

  1. 1.
    DOI - Is published in 10.1201/9781003310785-3
  2. 2.
    ISBN - Is published in 9781003310785 (urn:isbn:9781003310785)

Start page

43

End page

66

Total pages

24

Outlet

Data Science with Semantic Technologies New Trends and Future Developments

Edition

1

Editors

Archana Patel, Narayan C. Debnath

Publisher

Taylor % Francis

Place published

United States

Language

English

Copyright

© 2023 selection and editorial matter, Archana Patel, Narayan C. Debnath; individual chapters, the contributors

Former Identifier

2006121952

Esploro creation date

2023-06-30

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