AOSR 2.0: A Novel Approach and Thorough Validation of an Agent-Oriented Storage and Retrieval WMS Planner for SMEs, under Industry 4.0

Title
AOSR 2.0: A Novel Approach and Thorough Validation of an Agent-Oriented Storage and Retrieval WMS Planner for SMEs, under Industry 4.0
Publication Date
2021-06
Author(s)
Ud Din, Fareed
( author )
OrcID: https://orcid.org/0000-0001-6122-2043
Email: fuddin@une.edu.au
UNE Id une-id:fuddin
Paul, David
( author )
OrcID: https://orcid.org/0000-0002-2428-5667
Email: dpaul4@une.edu.au
UNE Id une-id:dpaul4
Ryan, Joe
Henskens, Frans
Wallis, Mark
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
MDPI AG
Place of publication
Switzerland
DOI
10.3390/fi13060155
UNE publication id
une:1959.11/31720
Abstract

The Fourth Industrial Revolution (Industry 4.0), with the help of cyber-physical systems (CPS), the Internet of Things (IoT), and Artificial Intelligence (AI), is transforming the way industrial setups are designed. Recent literature has provided insight about large firms gaining benefits from Industry 4.0, but many of these benefits do not translate to SMEs. The agent-oriented smart factory (AOSF) framework provides a solution to help bridge the gap between Industry 4.0 frameworks and SME-oriented setups by providing a general and high-level supply chain (SC) framework and an associated agent-oriented storage and retrieval (AOSR)-based warehouse management strategy. This paper presents the extended heuristics of the AOSR algorithm and details how it improves the performance efficiency in an SME-oriented warehouse. A detailed discussion on the thorough validation via scenario-based experimentation and test cases explain how AOSR yielded 60–148% improved performance metrics in certain key areas of a warehouse.

Link
Citation
Future Internet, 13(6), p. 1-16
ISSN
1999-5903
Start page
1
End page
16
Rights
Attribution 4.0 International

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