| 1. |
- Helgoson, M., et al.
(författare)
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Concept for function block enabled process planning towards multi-site cloud collaboration
- 2014
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Ingår i: ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. - New York : ASME Press. - 9780791845806
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Konferensbidrag (refereegranskat)abstract
- In global enterprises an essential challenge is how to enable efficient sharing of knowledge, capacity, and resources in order to meet demands on speed, flexibility and adaptability. This paper highlights challenges and aspects regarding framework and technical platform for process planning that enable global multi-site collaboration. To get an industrial perspective, this topic is discussed in the context of Sandvik Coromant's globally distributed application centers. Further on, function block technology as enabling technology to achieve flexible and adaptable process planning as a part of the framework is presented and discussed together with results from the on-going research work.
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| 2. |
- Li, Yujiang, 1985-, et al.
(författare)
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Representation and exchange of digital catalogues of cutting tools
- 2014
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Ingår i: ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. - 9780791845806 ; , s. V001T04A027-
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Konferensbidrag (refereegranskat)abstract
- Information management for manufacturing resources such as cutting tools is an important research topic in the context of cloud manufacturing. Vendors and customers usually use catalogues to communicate information for such manufacturing resource. Incompatibilities of information in syntax, semantics, and structure among supply chains often result in inefficient manual sharing and management of the catalogue information. It is difficult for cloud based applications to pool information from various sources. This communication failure calls for a system neutral solution for data modeling and exchange to enhance interoperability of the cutting tool catalogue information. Previous studies has present solutions for representation of the cutting tool information with STEP AP242 (ISO/DIS 10303-242) with semantic classification referring to a PLib (ISO 13584, Part Library) based dictionary. This approach can be extended for the catalogue modeling, due to functionalities for specification and configuration control of general product variants in the same standard. With a modeling approach with standardized information schemas, system architecture to guide implementation is proposed to enhance the communication in practice. Relative elements to represent vendors' catalogues and customers' requirements are modeled. Associations to the PLib-based dictionary complete semantics and enable information mapping between vendors and customers. Principles of the mapping are identified to facilitate implementation of related software systems. Prototypes are developed to verify the proposed system architecture. The proposed solution is promising to migrate to other types of products than cutting tools, because the data models are based on the general product models defined in AP242.
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| 3. |
- Liu, X., et al.
(författare)
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A feature based method for product-oriented representation to manufacturing resources in cloud manufacturing
- 2014
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Ingår i: ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. - : ASME Press. - 9780791845806
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Konferensbidrag (refereegranskat)abstract
- In cloud manufacturing, resources are encapsulated into manufacturing services to be provided in the manufacturing cloud. Resources representation is the basis for resources encapsulation. However, traditional representation methods to manufacturing resources mainly focus on the static description and/or current status of equipment. Research in productoriented representation to manufacturing capabilities is limited. As a result, the evaluation to resources in the manufacturing cloud is indirect which will complicate the decision making in service determination. This paper presents a feature based method for manufacturing resources representation. Machining features will be first extracted from the part model based on a predefined feature category. Then capabilities of resources linked by the manufacturing cloud to machine the part will be generated by computing the capabilities to machine the features based on a knowledge base composed of the rules to define resource capabilities. With this method, capabilities of manufacturing resources will be associated with certain product and the selection of service from the manufacturing cloud will be greatly facilitated.
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| 4. |
- Wang, Xi Vincent, et al.
(författare)
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A smart Cloud-based system for the WEEE Recovery/recycling
- 2014
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Ingår i: ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. - 9780791845806
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Konferensbidrag (refereegranskat)abstract
- Waste Electrical and Electronic Equipment (WEEE) is both valuable and harmful since it contains a large number of profitable and hazardous materials and elements at the same time. At component level, many parts of the discarded equipment are still functional and recoverable. Thus it is necessary to develop a distributed and intelligent system to support WEEE recovery and recycling. In recent years, the Cloud concept has gained increasing popularity since it provides a service-oriented architecture that integrates various resources over the network. Cloud Manufacturing systems are proposed world-wide to support operational manufacturing processes. In this research, Cloud Manufacturing is further extended to the WEEE recovery and recycling context. A Cloud-based WEEE Recovery system is developed to provide modularized recovery services on the Cloud. A data management system is developed as well, which maintains the knowledge throughout the product lifecycle. A product tracking mechanism is also proposed with the help of the Quick Respond code method.
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| 5. |
- Wang, Xi Vincent, et al.
(författare)
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Cloud manufacturing in support of sustainability
- 2014
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Ingår i: ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. - : ASME Press. - 9780791845806
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Konferensbidrag (refereegranskat)abstract
- In a modern manufacturing business, collaborations not only exist among its own departments, but also among business partners. Cloud Manufacturing can assist this type of collaborations. As a new paradigm of manufacturing network, Cloud Manufacturing combines Cloud Computing with networked manufacturing under service-oriented architecture. It is set to fundamentally change how products are designed, manufactured, shipped and maintained. Besides the support to collaborative and intelligent manufacturing processes, it is also possible to realize sustainability in the Cloud Manufacturing paradigm. In this paper, recent Cloud Manufacturing approaches are discussed from the sustainable manufacturing perspective. The major difference between Cloud Manufacturing and web-based manufacturing systems are specifically discussed. Cloud-based methods are analyzed to support reasonable and logic strategies. It is believed that Cloud Manufacturing can provide a strong support to the manufacturing industry, in particular for sustainability.
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| 6. |
- Xia, K., et al.
(författare)
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A Q-learning based selective disassembly planning service in the cloud based remanufacturing system for WEEE
- 2014
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Ingår i: ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. - : ASME Press. - 9780791845806
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Konferensbidrag (refereegranskat)abstract
- Cloud based approach for remanufacturing is becoming a new technical solution for sustainable management of Waste Electrical and Electronic Equipment (WEEE). This paper presents a service-oriented framework of a Cloud Based Remanufacturing System (CBRS) for WEEE. In remanufacturing of WEEE, disassembly plays an important role. However, complete disassembly is rarely an ideal solution due to the high disassembly cost, with the increasing customization and diversity, and more complex assembly processes of Electrical and Electronic Equipment (EEE). Selective disassembly focusing on disassembling only a few selected components is a better choice. In this paper, a Q-Learning based Selective Disassembly Planning (QL-SDP) approach embedded with a multi-criteria decision making model is developed. The multi-criteria decision making model is built according to the legislative and economic considerations of specific stakeholders of WEEE. And the QLSDP approach is used to achieve optimized selective disassembly planning. An implementation example has been used to verify and demonstrate the effectiveness and robustness of the approach. The developed QL-SDP approach is designed as a service implemented in the presented CBRS for WEEE.
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