Manufacturing System on the Cloud: A Case Study on Cloud-based Process Planning

Wang, Xi Vincent; Givehchi, Mohammad; Wang, Lihui

doi:10.1016/j.procir.2017.03.103

Cited by 32 publications

(8 citation statements)

References 28 publications

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“…[4][5][6][7] The cage {V 18 O 42 } cluster is a kind of POV, in which vanadium presents a mixed-valence state (V IV /V V ) or a fully reduced state (V IV ), and can be used as the active site in the field of catalysis. [8][9][10][11][12] The present fully reduced state V IV work focuses on studying a variety of substituted POVs like As-POVs, Sb-POVs and Ge-POVs derived from the {V 18 O 42 } archetype, in which the abundant terminal oxygen atoms of substituted POV clusters can offer electron donors to capture transition-metal (TM) ions (acceptor), with the assistance of an organic ligand, to form extended architectures. [13][14][15][16][17][18] However, Si-POVs (vanadosilicate clusters) with cage structures have scarcely been explored due to the difficulty in the synthesis procedure.…”

Section: Introductionmentioning

confidence: 99%

Three Si-substituted polyoxovanadates as efficient catalysts for Knoevenagel condensation and selective oxidation of styrene to benzaldehyde

Shi

Zhou

et al. 2022

Dalton Trans.

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Section: Introductionmentioning

confidence: 99%

Three Si-substituted polyoxovanadates as efficient catalysts for Knoevenagel condensation and selective oxidation of styrene to benzaldehyde

Shi

Zhou

et al. 2022

Dalton Trans.

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“…To face nowadays intense global competition, companies require manufacturing systems to be more flexible, adaptable, reactive and interoperable. This circumstance, together with the development of new information and communication technologies, such as Service-Oriented Computing (SOC)/Service-Oriented Architecture (SOA) or Cloud Computing and Web Services, has given rise to the emergence of several manufacturing technical and operational paradigms such as Digital Manufacturing, Reconfigurable Manufacturing, Service Manufacturing or Cloud Manufacturing, among others [ 1 , 2 , 3 , 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

“…The need of a feature-based approach together with service-oriented architectures for data exchange in Cloud-Based Design and Manufacture contexts is stated in [ 10 ]. Similarly, cloud and feature-based Functional Blocks (FB) technologies to develop a Cloud Distributed Process Planning system that works as a central service aimed at increasing responsiveness and adaptability in current collaborative environments is adopted in [ 3 ]. However, all these proposals make use of a very specific feature concept and highlight the need of a generic feature concept able to support frameworks such as the previously mentioned CIDP 2 R one.…”

Section: Introductionmentioning

confidence: 99%

Feature-Based Framework for Inspection Process Planning

et al. 2018

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Feature-based approaches have been profusely used in the last decades to incorporate domain-specific knowledge in the design and development of technical systems that, according to the new Concurrent Engineering approaches, involves not only the definition of the product, but also of the required manufacturing/inspection/assembly process and the corresponding production system. Although the ability of feature-based modeling to ease and integrate knowledge intensive processes has always been recognised, in practise the different feature-based modeling proposals are strongly dependent on the domain and on the development stage of the solution (conceptual, detailed, etc.). On the other hand, inspection process planning, including the design and selection of the technical system to realize the dimensional and geometrical verification of the manufactured artefacts, has been traditionally considered separately from the rest of the manufacturing process planning, and even also from the product functional specification tasks. In this work, a feature-based framework for inspection process planning, based on a similar approach to the one applied in GD&T (Geometrical Dimensioning & Tolerancing) specification, analysis and validation of product artefacts, is presented. With this work, the proposed framework and feature concept ability to model interaction components belonging to both the product and the inspection system (inspection solution) is proved. Moreover, to facilitate the Collaborative and Integrated Development of Product-Process-Resource, the Inspection Feature has been conceived as a specialization of a generic Feature previously proposed by the authors.

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“…The above research results can achieve good scheduling effect when the product processing scale is small, but when the scale is larger, they will be no longer applicable to the intelligent process planning and decision making of the workshop production [22][23][24]. In recent years, some researchers have worked on sharing the information, equipment and resources of different manufacturing enterprises through the service platform such as cloud manufacturing to realize the individualized needs of customers, so as to achieve the reutilization of processing resources and previous experience [25,26].…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Intelligent Workshop Control Based on the Improved Group Leadership Optimization Algorithm

Xue¹,

Jiang²,

Wei³

et al. 2018

Int. j. simul. model.

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This paper takes the existing optimized single product production scheduling scheme as the cloud service resource, and the production planning scheme for the product to be processed as the request task, and then subjects the two to semantic search and matching to generate a set of optimal production planning schemes. Then this paper innovatively takes the minimum production and processing cost, processing time, equipment state and minimum transport distance in product processing as the objective functions, and uses the penalty function to establish the fitness function to constrain the group leader optimization algorithm. After that, the proposed improved group leader optimization algorithm (GLOA) is used to screen the generated scheme set, and finally the optimal intelligent workshop control and scheduling scheme is obtained. The simulation results show that the proposed GLOA algorithm achieves a good convergence and is well adaptable. The research conclusions can provide theoretical reference for the intelligent workshop control and scheduling in single product manufacturing.

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Manufacturing System on the Cloud: A Case Study on Cloud-based Process Planning

Cited by 32 publications

References 28 publications

Three Si-substituted polyoxovanadates as efficient catalysts for Knoevenagel condensation and selective oxidation of styrene to benzaldehyde

Three Si-substituted polyoxovanadates as efficient catalysts for Knoevenagel condensation and selective oxidation of styrene to benzaldehyde

Feature-Based Framework for Inspection Process Planning

Optimization of the Intelligent Workshop Control Based on the Improved Group Leadership Optimization Algorithm

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