Abstract
The high speed development of computer networks and information technology has enabled manufacturing enterprises to enter the Information Age. To adapt to such competition, we should rethink the information science problems in manufacturing, which give rise to the technology and techniques of manufacturing informatics. Manufacturing informatics is a new interdisciplinary area, which synthesizes manufacturing science, information science, system science, control science and management science. It mainly researches the logical expression of information, optimal distribution, and the effective operation of manufacturing processes and manufacturing systems. The digitization of manufacturing information makes manufacturing processes and manufacturing decisions controllable and visible. Moreover, since the digitized manufacturing information can be transmitted through a wide area network (WAN) with a certain series of protocols, the manufacturing information can usually be shared and collaborative. Digital manufacturing is driven by information, and manufacturing informatics is the core and basic theory of digital manufacturing science.
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References
Zhang BP (2002) Manufacturing informatics. Tsinghua University Press, Beijing
Akerlof GA (1970) The market for “lemons”: quality uncertainty and the market mechanism. Q J Econ 84(3):488–500
Arrow K (1984) Economics of information. Basil Blackwell, Oxford
Yovits MC (1960) Self organization systems. Pergamon Press, London
Zhang BP (2002) The application of manufacturing informatics–investigation on the self-organization of machining accuracy. China Mech Eng 13(4):344–347
Dempster AP (1968) A generalization of Bayesian inference. J Roy Stat Soc 30:205–247
Rao YQ, Efstathiou J (2006) Entropy-based measurement of manufacturing system complexity and its application in scheduling. Chin J Mech Eng 42(7):8–13
Deshmukh AV, Talavage JJ, Barash MM (1998) Complexity in manufacturing systems, part 1: analysis of static complexity. IIE Trans 30:645–655
Frizelle G, Woodcock E (1995) Measuring complexity as an aid to developing operational strategy. Int J Oper Prod Manag 15(5):26–39
Zhong YX (2002) Principle of information science, 3rd edn. Beijing University of Posts and Telecommunications Press, Beijing
Li YF, Liu ZG (2005) Information entropy-based viewpoint planning for 3-D object reconstruction. IEEE Trans Robot 21(3):324–337
Shafer G (1976) A mathematical theory of evidence. Princeton University Press, Princeton
Ma WF (2002) Integration of digital resources. J Libr Sci China 28(4):64–67
Liu WA, Qiao LH (2005) Integration of product and process information based on product data management system. Mech Sci Technol 24(1):1–5
Zhu B, Mao GB, He T, Wang YX (2003) Study on information integration technology of application. Mech Eng 12:31–33
Conklin WA, White GB, Cothren C et al. (2004) Principles of computer security: security+TM and beyond. McGraw-Hill, New York
Abrams M, LaPadula L, Eggers K et al. (1990) A generalized framework for access control: an informal description. In: Proceedings of the 13th National Computer Security Conference, Taiwan, pp 134–143
Bishop M (2005) Introduction to computer security. Pearson Education, Boston
Liu Q (2004) Research on several foundational theories and key technologies of copyright protection and information security based on network manufacture environment. PhD Thesis, Wuhan University of Technology, China
Liu Q, Jiang XM (2007) Hierarchical semi-fragile digital watermarking algorithm for image tamper localization and recovery. J Commun 28(7):104–110
Ai QS, Zhou ZD, Liu Q (2007) SVD-based digital watermarking algorithm for 3D mesh models. J Comput Appl 27(12):2931–2933
Liu Q, Zhang XM (2007) Secure 3D watermarking algorithm based on point set projection. In: SPIE Fifth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR’2007), vol 6790, pp 67904R-1-8
Zhang XM, Liu Q (2007) Geometric feature based digital watermarking algorithm for 3D models. J Wuhan Univ Technol 29(12):123–126
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Zhou, Z., Xie, S., Chen, D. (2011). Manufacturing Informatics in Digital Manufacturing Science. In: Fundamentals of Digital Manufacturing Science. Springer Series in Advanced Manufacturing. Springer, London. https://doi.org/10.1007/978-0-85729-564-4_4
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DOI: https://doi.org/10.1007/978-0-85729-564-4_4
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