List of Titles

Cloud-based smart manufacturing for personalized candy packing application

- Wang, Shiyong, Wan, Jiafu, Imran, Muhammad, Li, Di, Zhang, Chunhua

Authors: Wang, Shiyong , Wan, Jiafu , Imran, Muhammad , Li, Di , Zhang, Chunhua
Date: 2018
Type: Text , Journal article
Relation: Journal of Supercomputing Vol. 74, no. 9 (2018), p. 4339-4357
Full Text: false
Reviewed:
Description: Industry 4.0 has been proposed to address personalized consumption demands by building cyber-physical production systems for smart manufacturing. Although cloud manufacturing and some integrated frameworks for smart factory have been presented in literatures, it still lacks industrial applications. In this paper, we use personalized candy packing application as a demonstration to illustrate our smart factory design. We first describe the component layers of the smart factory, i.e., physical devices, private cloud, client terminals, and network, to enable the smart factory to be integrated with other systems, such as banks and logistical network, to cope with personalized consumption demands. Then, we present a scheme for inter-layered interaction. As for the physical devices, we also design an intra-layered negotiation mechanism to implement dynamic reconfiguration, so that the system can support hybrid production of multi-typed products. Finally, we give experimental results to verify efficiency, self-organized process, and hybrid production paradigm of the proposed system. © 2016, Springer Science+Business Media New York.

Reconfigurable smart factory for drug packing in healthcare industry 4.0

- Wan, Jiafu, Tang, Shenglong, Li, Di, Imran, Muhammad, Zhang, Chunhua

Authors: Wan, Jiafu , Tang, Shenglong , Li, Di , Imran, Muhammad , Zhang, Chunhua
Date: 2019
Type: Text , Journal article
Relation: IEEE Transactions on Industrial Informatics Vol. 15, no. 1 (2019), p. 507-516
Full Text: false
Reviewed:
Description: Industry 4.0, which exploits cyber-physical systems and represents digital transformation of manufacturing, is deeply affecting healthcare as well as other traditional production sector. To accommodate the increasing demand of agility, flexibility, and low cost in healthcare sector, a data-driven reconfigurable production mode of Smart Factory for pharmaceutical manufacturing is proposed in this paper. The architecture of the Smart Factory is consisted of three primary layers, namely perception layer, deployment layer, and executing layer. A Manufacturing's Semantics Ontology based knowledgebase is introduced in the perception layer, which is responsible for plan scheduling of pharmaceutical production. The reconfigurable plans are generated from the production demand of drugs as well as the information statement of low-level machine resources. To further functionality reconfiguration and low-level controlling, the IEC 61499 standard is also introduced for functionality modeling and machine controlling. We verify the proposed method with an experiment of demand-based drug packing production, which reflects the feasibility and adequate flexibility of the proposed method. © 2005-2012 IEEE. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Muhammad Imran" is provided in this record**

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