| 1. |
- Hao, Qi, et al.
(författare)
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Collaborative Manufacturing Resource Scheduling Using Agent-Based Web Services
- 2006
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Ingår i: International Journal of Manufacturing Technology and Management (IJMTM). - : InderScience Publishers. - 1368-2148 .- 1741-5195. ; 9:3-4, s. 309-327
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Tidskriftsartikel (refereegranskat)abstract
- The rapidly changing needs and opportunities of today's global market require unprecedented levels of inter-operability to integrate diverse information systems to share knowledge and collaborate among organisations. The combination of web services and software agents opens up a sophisticated computing paradigm for meeting such requirements. This paper proposes a component called Agent-based Web Service (AWS) to provide manufacturing scheduling services for enterprise collaboration. A unique property of this AWS-based integration approach is that the scheduling process of an order is orchestrated on the internet through negotiation among AWSs. Moreover, the bid proposed by an AWS is supported by the dynamic scheduling results of manufacturing resources inside the enterprise. A prototype system for AWS-based manufacturing scheduling is implemented and connected to the backend multiagent dynamic manufacturingscheduling system.
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| 2. |
- Hao, Qi, et al.
(författare)
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Cooperative Scheduling for Inter-Enterprise Manufacturing Resources Sharing
- 2003
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Konferensbidrag (refereegranskat)abstract
- This paper presents a cooperative virtual enterprise approach targeting the manufacturing resource sharing among small and medium enterprises. With intelligent agents and Web Services technologies being adopted, the proposed approach possesses a number of distinguishing characteristics, such as loosely-coupled distributed architecture, internal privacy protection, secure separation of information and autonomous operation. An enterprise model, partner search and selection mechanisms, coordination modes and operation monitoring mechanisms are presented in details. The proposed approach emphasizes the enterprise to maximize its profitability, which is always regarded as a higher priority over other concerns.
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| 3. |
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| 4. |
- Hao, Qi, et al.
(författare)
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Towards a Cooperative Distributed Manufacturing Management Framework
- 2005
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Ingår i: Computers in industry (Print). - : Elsevier. - 0166-3615 .- 1872-6194. ; 56:1, s. 71-84
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Tidskriftsartikel (refereegranskat)abstract
- Advanced manufacturing systems need to be developed for enterprises to cooperate with each other in order to survive in the increasingly competitive global market. In this paper, manufacturing management issues are addressed at three levels: virtual enterprise (inter-enterprise), enterprise (intra-enterprise) and shop floor levels. An Internet enabled framework based on Web Services and agents for cooperative manufacturing management is proposed. An integration environment consisting of an agent based scheduling system, a Web based remote monitoring and control system, and corresponding services is designed and developed for the management, monitoring and control of the shop floor. Implementation details of the shop floor management environment are presented and some future work is prospected.
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| 5. |
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| 6. |
- Kozhevnikov, Evgeny, et al.
(författare)
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A dual-transduction-integrated biosensing system to examine the 3D cell-culture for bone regeneration
- 2019
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Ingår i: Biosensors & bioelectronics. - : ELSEVIER ADVANCED TECHNOLOGY. - 0956-5663 .- 1873-4235. ; 141
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Tidskriftsartikel (refereegranskat)abstract
- Three-dimensional (3D) cell cultures developed with living cells and scaffolds have demonstrated outstanding potential for tissue engineering and regenerative medicine applications. However, no suitable tools are available to monitor dynamically variable cell behavior in such a complex microenvironment. In particular, simultaneously assessing cell behavior, cell secretion, and the general state of a 3D culture system is of a really challenging task. This paper presents our development of a dual-transduction-integrated biosensing system that assesses electrical impedance in conjunction with imaging techniques to simultaneously investigate the 3D cell-culture for bone regeneration. First, we created models to mimic the dynamic deposition of the extracellular matrix (ECM) in 3D culture, which underwent osteogenesis by incorporating different amounts of bone-ECM components (collagen, hydroxyapatite [HAp], and hyaluronic acid [HA]) into alginate-based hydrogels. The formed models were investigated by means of electrical impedance spectroscopy (EIS), with the results showing that the impedances increased linearly with collagen and hyaluronan, but changed in a more complex manner with HAp. Thereafter, we created two models that consisted of primary osteoblast cells (OBs), which expressed the enhanced green fluorescent protein (EGFP), and 4T1 cells, which secreted the EGFP-HA, in the alginate hydrogel. We found the capacitance (associated with impedance and measured by EIS) increased with the increases in initial embedded OBs, and also confirmed the cell proliferation over 3 days with the EGFP signal as monitored by the fluorescent imaging component in our system. Interestingly, the change in capacitance is found to be associated with OB migration following stimulation. Also, we show higher capacitance in 4T1 cells that secret HA when compared to control 4T1 cells after a 3-day culture. Taken together, we demonstrate that our biosensing system is able to investigate the dynamic process of 3D culture in a non-invasive and real-time manner.
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| 7. |
- Lai, Zou, et al.
(författare)
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BearingFM: Towards a foundation model for bearing fault diagnosis by domain knowledge and contrastive learning
- 2024
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Ingår i: International Journal of Production Economics. - : Elsevier BV. - 0925-5273 .- 1873-7579. ; 275
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Tidskriftsartikel (refereegranskat)abstract
- Monitoring bearing failures in production equipment can effectively prevent finished product quality issues and unplanned factory downtime, thereby reducing supply chain uncertainties and risk. Therefore, monitoring bearing failures in production equipment is important for improving supply chain sustainability. Due to the generalization limitations of neural network models, specific models must be trained for specific tasks. However, in real industrial scenarios, there is a severe lack of labeled samples, making it difficult to deploy fault diagnosis models across massive amounts of equipment in workshops. In order to solve the above issue, this paper proposes a cloud-edge-end collaborative semi-supervised learning framework, which provides multi-level computing power and data support for building a foundation model. A data augmentation method based on the bearing fault mechanism is proposed, which effectively preserves the inherent essential characteristics in vibration signals by normalizing frequency and adding noise in specific frequency bands. A novel contrastive learning model is designed, which narrows the distances between positive samples and widens the distances between negative samples in the high-dimensional space through cross comparisons in the time dimension and knowledge dimension, thereby extracting the most essential characteristics from the unlabeled signals. Multiple sets of experiments conducted on four datasets demonstrate that the proposed approach achieves an approximately 98% fault classification accuracy with only 1.2% labeled samples.
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| 8. |
- Leng, Jiewu, et al.
(författare)
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Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part I): Design thinking and modeling methods
- 2024
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Ingår i: Journal of manufacturing systems. - : Elsevier B.V.. - 0278-6125 .- 1878-6642. ; 76, s. 158-187
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Forskningsöversikt (refereegranskat)abstract
- The concurrent societal goals and environmental challenges force industries to become more human-centric, sustainable, and resilient, which is envisioned as a value-oriented Industry 5.0 paradigm. The technology-driven Industry 4.0 paradigm is in a prosperous stage. Advanced information and manufacturing technologies have shown promising benefits, but challenges persist in the integration and implementation of smart manufacturing systems. Manufacturing system design (MSD) not only affects production efficiency and product quality but also is related to the strategic planning and sustainable development of manufacturers. New requirements for MSD appear and MSD has revealed new trends. MSD in the interplay of Industry 4.0 and Industry 5.0 is discussed in this two-part review, based on literature exploration within the Web of Science database. To obtain a systematic understanding of methodological, procedural, and technological exploration in a balanced way, this two-part review builds a Thinking-Modeling-Process-Enabler (TMPE) framework for reviewing MSD. In this paper (Part I of the two-part review), MSD methods are summarized and categorized from the design thinking viewpoint. Then, the manufacturing system modeling methods are categorized and discussed. Challenges and future research directions are identified in the MSD evolution towards Industry 5.0. Part II will detail the design processes and enablers (i.e., the P and E dimensions of the TMPE framework). This two-part review is anticipated to offer novel insights for advancing MSD research and engineering in the interplay of Industry 4.0 and Industry 5.0.
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| 9. |
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| 10. |
- Shen, Minhao, et al.
(författare)
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Effects of exposure time and printing angle on the curing characteristics and flexural strength of ceramic samples fabricated via digital light processing
- 2020
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Ingår i: Ceramics International. - : Elsevier. - 0272-8842 .- 1873-3956. ; 46:15, s. 24379-24384
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Tidskriftsartikel (refereegranskat)abstract
- The development of photosensitive slurries for additive manufacturing has attracted great interest due to their correlation with the final properties of the fabricated parts. This paper focus on the printing quality control in digital light processing (DLP) 3D printing of advanced ceramics. Systematic experiments were performed to assess the effects of the exposure time and printing angle on the three-point bending strength of the fabricated samples. The exposure time affected the bending strength of the printed zirconia ceramic dramatically. When the weak exposure time is 1 s and the strong exposure time is 13 s, the average bending strength can reach 580 MPa while Weibull modulus can reach 8.84. Meanwhile, the printing angle also affected the bending strength mechanical sample printed at 45 degrees exhibits the worst performance.
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