Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/173160
Title: | Identifying the promising production planning and scheduling method for manufacturing in Industry 4.0: a literature review | Authors: | Chen, Chen Tiong, Robert Lee Kong Wu, Kan |
Keywords: | Engineering::Civil engineering | Issue Date: | 2023 | Source: | Chen, C., Tiong, R. L. K. & Wu, K. (2023). Identifying the promising production planning and scheduling method for manufacturing in Industry 4.0: a literature review. Production and Manufacturing Research, 11(1), 2279329-. https://dx.doi.org/10.1080/21693277.2023.2279329 | Journal: | Production and Manufacturing Research | Abstract: | Industry 4.0 technologies create a connected ecosystem that allows for real-time monitoring, control, and optimization. This enables the manufacturing industry to move the ultimate goal of their businesses from lean to leagile. Then, to meet the needs of leagile manufacturing, an integrated production planning and scheduling system is needed. The academic world responds to the need by the growth of papers. Many methodologies, models, frameworks, and methods have been proposed. Literature abounds on classifying them, yet it remains inconclusive mainly on their applicability to Industry 4.0. In this regard, this paper conducts a literature review aiming to show the state of the art and discover the most promising production planning and scheduling method for Industry 4.0 among the many. Lastly, on the basis of this study, recommendations on possible future research directions are provided for researchers, and the design of the next-generation production planning and scheduling system for Industry 4.0 is also suggested. | URI: | https://hdl.handle.net/10356/173160 | ISSN: | 2169-3277 | DOI: | 10.1080/21693277.2023.2279329 | Schools: | School of Civil and Environmental Engineering | Rights: | © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/ licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | CEE Journal Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Identifying the promising production planning and scheduling method for manufacturing in Industry 4.0 a literature review.pdf | 2.08 MB | Adobe PDF | ![]() View/Open |
SCOPUSTM
Citations
50
5
Updated on May 1, 2025
Page view(s)
127
Updated on May 6, 2025
Download(s) 50
164
Updated on May 6, 2025
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.