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The implementation of Industry 4-0 in manufacturing - from lean manufacturing to product design2.52 MB
Published VersionCC BY V4.0, Open Access
Journal article
The implementation of Industry 4.0 in manufacturing: from lean manufacturing to product design
International Journal of Advanced Manufacturing Technology, Vol.121(5-6), pp.3351-3367
2022
Abstract
With the emergence of Industry 4.0, digitalization and intelligent manufacturing are vital to ensure competitivity, especially for manufacturers reliant on legacy machines. Upgrading legacy machines with cyber physical technology under Industry 4.0 frameworks can enable connection of these machines to existing IoT networks to allow the sharing and exchange of production information. In this paper, a legacy machine used in sheet metal folding operations is upgraded by integrating switch sensors which provide detailed data on the machine status to stakeholders, enabling in-depth analysis of the production activity before and after the implementation of lean manufacturing methods. Furthermore, it is shown that the data collected can be applied to conduct dynamic value stream mapping (DVSM) in near real time to provide deeper level insight into manufacturing processes. More detailed mapping enables identification of wastes involved with labour and design. Therefore, an innovative graphical technique is proposed to improve the flattened pattern to reduce manual handling and ease bottlenecks identified by VSM. From the collected VSM data, a leanness measure was established to provide objective and quantitative evaluation of the process performance.
Details
- Title
- The implementation of Industry 4.0 in manufacturing: from lean manufacturing to product design
- Authors
- Zhuoyu Huang (Corresponding Author) - The University of QueenslandCasey Jowers (Author) - University of the Sunshine CoastDamon Kent (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringAli Dehghan-Manshadi (Author) - The University of QueenslandMatthew S Dargusch (Author) - The University of Queensland
- Publication details
- International Journal of Advanced Manufacturing Technology, Vol.121(5-6), pp.3351-3367
- Publisher
- Springer UK
- Date published
- 2022
- DOI
- 10.1007/s00170-022-09511-7
- ISSN
- 1433-3015; 0268-3768
- Copyright note
- This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
- Grant note
- The University of Queensland AMPAM
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99649775702621
- Output Type
- Journal article
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