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"Computer integrated manufacturing"
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An architectural solution for virtual computer integrated manufacturing systems using ISO standards
Nowadays, manufacturing environments are faced with globalization that urges new necessities for manufacturing systems. These necessities have been considered from different perspectives, and Computer Integrated Manufacturing (CIM) is the most popular and effective system. However, considering the rapid rate of manufacturing globalization, traditional and current CIM solutions can be criticized by major deficiencies such as high complexity for resource allocation over the globe, global facility sharing, and the absence of an efficient way to handle lifecycle issues. Recently, Virtual CIM (VCIM) has been introduced as an effective solution to extend the traditional CIM solutions. This paper has investigated recent pieces of research associated with VCIM/CIM field in accordance with the necessity of todays' globalized manufacturing environment. The paper shows the lack of traditional and current CIM/VCIM solutions and, then, proposes an effective solution to cover them. Due to the complexity of designing such systems, this paper exploits Axiomatic Design (AD) theory as a promising tool in this field. This theory is applied to validate the suggested architectural solution and verify its performance and implementational aspects. The implementation of the architectural solution is considered based on ISO standards. Finally, the results approved the feasibility of the suggested solution for manufacturing system and its Implementational aspects.
Journal Article
Applied AI and multimedia technologies for smart manufacturing and CPS applications
\"This book provides a review of the state of the art technology regarding the integration of AI and multimedia technologies for smart manufacturing applications, offering detailed industrial integration examples for specific AI and multimedia technologies using both R&D and empirical analysis to examine the impacts of the integration of specific multimedia and AI technologies for stated industrial manufacturing applications\"-- Provided by publisher.
BOOK
Automatic quality inspection in additive manufacturing using semi-supervised deep learning
Ensuring quality production is essential in additive manufacturing processes such as selective laser sintering (SLS). Deep learning based automated systems may provide a better way for real time monitoring to ensure quality production. These systems are usually trained in a fully supervised manner which require large amount of labeled data. Obtaining labeled training data in large quantities is a tedious and time consuming process. To overcome this, a novel semi-supervised deep learning approach is proposed in this work, which can be trained using both labeled and unlabeled data, and hence, reducing the manual labeling efforts needed to train the system. Experimental results on a SLS powder bed defect detection dataset show that the proposed approach is the new state-of-the-art, and shows its potential as a standalone real time monitoring system for SLS. In this dataset the proposed approach beats the state-of-the-art accuracy of 98% with only 25% of the labeled training data compared to other approaches. In addition, an extensive set of experiments were conducted on three additional public defect inspection datasets (NEU steel surface defects, KolektorSDD surface images of plastic electronics commutators, and surface textures) to show the applicability of the proposed approach on other computer integrated manufacturing environments for quality inspection. In all of these datasets the proposed approach beats the state-of-the-art results with relatively small amounts of training data compared to other approaches, which shows the effectiveness of the proposed approach for real time, automated, and accurate quality inspection.
Journal Article
Theoretical research on multi-coordinate transformation modeling and its application in computer-aided manufacturing of five-axis laser machining system
Multi-axis laser processing has significant advantages and broad application prospects. Multi-coordinate spatial positioning is the key to realize its technical application. In this paper, the mathematical modeling of multi-axis positioning was carried out for a typical five-axis laser processing equipment. The space vector of the rotation axis was calibrated. The construction principle and calculation method of the workpiece machining coordinate system (WCS) were expounded. On the basis of solving the rotation and translation matrix, the geometrical information including machining position and posture in the CAD coordinate system was converted into the machine coordinate system (MCS) through coordinate transformation, which lays a technical foundation for multi-coordinate laser processing. At the same time, the verification of machining application, such as multi-axis positioning processing of rings on planar features, and spatial helical positioning machining on cylindrical surfaces were carried out, which proved the feasibility and effect of the proposed method. The modeling method proposed in this work is scalable and can be applied to different types and structures of equipment in the computer-integrated manufacturing. The research results of this work have important theoretical and technical value for the high-performance application of five-axis laser processing equipment.
Journal Article
Design for mass customisation, design for manufacturing, and design for supply chain: A review of the literature
This survey provides a review of the fundamental approaches to design for mass customisation (DFMC), design for manufacturing (DFM) and design for supply chains (DFSC). The key term here is design while mass customisation, manufacturing and supply chain are the contexts from which the respective design objectives are derived. While these three areas of design are closely related, they have different focusses, which is reflected in the broader range of approaches proposed in the literature. The authors look at the literature through the lens of the product, process, and supply chain optimisation, with a variety of objectives ranging from improving product quality and variety while reducing costs, minimising environmental impacts and optimising supplier manufacture cooperation. In addition to the reviews of the approaches to DFMC, DFM and DFSC, recommendations on their practical system implementations are provided. While the authors acknowledge that the richness of the literature of each of the three design areas warrants a dedicated literature review, the main purpose of this survey is to pursue an integrated view on the three design issues faced by modern manufacturers and provide them and other related practitioners with a summary of representative approaches in the literature. Although it was not intended to conduct an exhaustive literature review of the literature, researchers from academia may still find the work useful by looking at the interactions of the three design areas from the perspective of joint‐decision making, which is the angle from which the literature is approached.
Journal Article
Industry 4.0
Industry 4.0 - Challenges in Management and Engineering, and consequently the way how to manage competitive organizations between academics/researchers, managers and engineers. It also looks to, share knowledge and insights about Industry 4.0 on an international and transnational scale, keep at the forefront of innovative theories, models, processes and strategies, as well as the most recent research activities relating to industry 4.0. Industry 4.0 - Challenges in Management and Engineering is evident for many types of organizations, namely, important institutes and universities all over the world.
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