Tolerance design and adjustment of complex customized product based on cloud manufacturing

Procedia CIRP

Volumn 27, Issue , 2015, Pages 169-175

  Wu, Zijian ^a   Gao, Zhenbo ^a   Cao, Yanlong ^a   Ye, Xiaoping ^b   Yang, Jiangxin ^a,b  

^a ZHEJIANG UNIVERSITY   (China)

^b LISHUI UNIVERSITY   (China)

Author keywords

Cloud manufacturing; Dynamic tolerance adjustment; Manufacturing cost; Quality loss

Indexed keywords

COMPUTER AIDED MANUFACTURING; COMPUTER CONTROL SYSTEMS; COSTS; DISTRIBUTED COMPUTER SYSTEMS; ENERGY UTILIZATION; FITS AND TOLERANCES; PRODUCT DESIGN;

CLOUD MANUFACTURING; COLLABORATIVE MANUFACTURING; COMPLEX MANUFACTURING PROCESS; DYNAMIC TOLERANCE; MANUFACTURING COST; MANUFACTURING RESOURCE; QUALITY LOSS; TRADITIONAL MANUFACTURING;

MANUFACTURE;

EID: 84939481606     PISSN: 22128271     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.procir.2015.04.061     Document Type: Conference Paper

References (20)

1. Bohu L, Lin Z, Shilong W, et al. Cloud Manufacturing: a New Service-oriented Networked Manufacturing Model [J]. Computer Integrated Manufacturing Systems, 2010, 16(1):1-7, 16.
2. Xun X. From Cloud Computing to Cloud Manufacturing [J]. Robotics and Computer-Integrated Manufacturing, 2012. 28(1):75-86.
3. Ronghui C, Aiai L. Implementation of Cloud Manufacturing [J]. Manufacturing Information Engineering of China, 2010(6):18-21.
4. RAJKUMAR B, CHEE S Y, SRIKUMAR V, et al. Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility [J]. Future Generation Computer Systems, 2009. 25(6):599-616.
5. Edward A L. Cyber Physical Systems: Design Challenges [A]. 11th IEEE Symposium on Object Oriented Real-Time Distributed Computing (ISORC)
6. Mingwei W, Jingtao Z, Shikai J. On-Demand Task Assignment Strategies for Workflow-Based Applications in Cloud Manufacturing [J]. Journal of Computer-Aided Desigh& Computer Graphics, 2012. 24(3):308-313.
7. Riliang L, Peng L, Chengrui Z, Xiaofeng Z. Key Technologies for NC Machining Service Oriented to Cloud Manufacturing [J]. Computer Integrated Manufacturing Systems, 2012. 18(7):1613-1619.
8. Haidan W, Cunjin L, Xiaodong L, et al. Research on semantic description and ontology modeling of minor-enterprise-oriented cloud manufacturing service [J]. Manufacturing Automation, 2012, 34(4):30-33.
9. Chao Y, Yun Z, Ting Z. Optimization Model of Cloud Manufacturing Services Resource Combination for New Product Development [J]. Computer Integrated Manufacturing Systems, 2012. 18(7):1368-1378.
10. Grammatikou M, Marinos C, Demchenko Y, et al. GEMBus as Service Oriented Platform for Cloud-Based Composable Services [C]. Proceedings of the 2011 IEEE 3rd International Conference on Cloud Computing Technology and Science. Washington, D. C., USA: IEEE Computer Society, 2011:666-671.
11. Fujiwara I, Aida K, Ono I. Applying Double-Sided Combinational Auctions to Resource Allocation in Cloud Computing [C]. Proceedings of the 10th Annual International Symposium on Applications and the Internet. Washington, D. C., USA: IEEE Computer Society, 2010:7-14.
12. B. P. Fraticelli. Sequential tolerance control in discrete parts manufacturing [J]. International Journal of Production Research. 1997. 35(5):1305-1319.
13. Zhitong C. Research on Planning Approach of Dynamic Technology Dimension [J]. Journal of Beijing University of Aeronautics and Astronuatics. 1990. 25(1):68-71.
14. Qingying Z, Hu S. Interchangeability and Dynamic Control of Precision [J]. Journal of Wuhan University of Technology. 2003. 27(4):506-508.
15. Jing Y, Changan L. The Research on Dynamic Tolerance Arrangement Based on Remaining Process Capability [J]. Modular Machine Tool & Automatic Manufacturing Technique, 2009, (5):33-37.
16. Bohu L, Lin Z, Lei R, et al. Further Discussion on Cloud Manufacturing [J]. Computer Integrated Manufacturing System, 2011. 17(2):449-457.
17. Yong C. The Simulation Process of Virtual Prototype and Model Research [D]. Nanjing University of Science and Technology. 2002.
18. Mike Hobday. Product complexity, innovation and industrial organisation [J]. Research Policy, 1998, (26):689-710.
19. Shaotong W, Jiangxin Y. Optimal Computer-Aided Tolerance Designing [M]. Zhejiang University Press. 1999.
20. Sheng Y, Chao Y, Fei L, et al. Optimal Allocation Model and its Genetic Algorithms of Out Souring Production Resources in Multi-Task [J]. Journal of Chongqing University, 2010. 33(3):49-55.