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2015 | OriginalPaper | Buchkapitel

A Unified Sustainable Manufacturing Capability Model for Representing Industrial Robot Systems in Cloud Manufacturing

verfasst von : Xingxing Wu, Xuemei Jiang, Wenjun Xu, Qingsong Ai, Quan Liu

Erschienen in: Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth

Verlag: Springer International Publishing

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Abstract

Nowadays, the sustainable manufacturing capability of manufacturing devices has attracted more and more attention from academia and industry, in order to coordinate the conflicts between serious environmental impacts and economic benefits. As one kind of advanced manufacturing devices with intelligence, the industrial robot (IR) is an important driving force to make the production activities more efficient, safe and sustainable. A unified sustainable manufacturing capability model for representing IR systems in cloud manufacturing based on ontology was proposed in this paper, so as to solve the description problems in terms of the various capabilities of IR systems, and also to facilitate the factories to effectively manage the IR systems’ manufacturing activities during the whole production life-cycle. The case study and its implementation show the developed ontology model is suitable for all types of IR systems, and can comprehensively reflects their sustainable manufacturing capabilities in real-time.

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Literatur
1.
Zurück zum Zitat Luo, Y., Zhang, L., et al.: A modeling and description method of multidimensional information for manufacturing capability in cloud manufacturing system. Int. J. Adv. Manuf. Technol. 69(5–8), 961–975 (2013)CrossRef Luo, Y., Zhang, L., et al.: A modeling and description method of multidimensional information for manufacturing capability in cloud manufacturing system. Int. J. Adv. Manuf. Technol. 69(5–8), 961–975 (2013)CrossRef
2.
Zurück zum Zitat Smith, R.T., Melnyk, S.A.: Green Manufacturing, pp. 3–4. Society of Manufacturing Engineers, Dearborn (1996) Smith, R.T., Melnyk, S.A.: Green Manufacturing, pp. 3–4. Society of Manufacturing Engineers, Dearborn (1996)
3.
Zurück zum Zitat Skinner, W.: Manufacturing-missing link in corporate strategy. Harvard Bus. Rev. 47(3), 136–145 (1969) Skinner, W.: Manufacturing-missing link in corporate strategy. Harvard Bus. Rev. 47(3), 136–145 (1969)
4.
Zurück zum Zitat Yuqian, L., Xun, X., Jenny, X.: Development of a hybrid manufacturing cloud. J. Manuf. Syst. 33(4), 551–566 (2014)CrossRef Yuqian, L., Xun, X., Jenny, X.: Development of a hybrid manufacturing cloud. J. Manuf. Syst. 33(4), 551–566 (2014)CrossRef
5.
Zurück zum Zitat Ameri, F., Patil, L.: Digital manufacturing market: a semantic web-based framework for agile supply chain deployment. J. Intell. Manuf. 23(5), 1817–1832 (2012)CrossRef Ameri, F., Patil, L.: Digital manufacturing market: a semantic web-based framework for agile supply chain deployment. J. Intell. Manuf. 23(5), 1817–1832 (2012)CrossRef
6.
Zurück zum Zitat Xu, W., Yu, J., Zhou, Z., et al.: Dynamic modeling of manufacturing equipment capability using condition information in cloud manufacturing. J. Manuf. Sci. Eng. 137(4), 040907-1 (2015) Xu, W., Yu, J., Zhou, Z., et al.: Dynamic modeling of manufacturing equipment capability using condition information in cloud manufacturing. J. Manuf. Sci. Eng. 137(4), 040907-1 (2015)
7.
Zurück zum Zitat Du, L., Fang, Y., He, Y.: Manufacturing resource optimization deployment for manufacturing execution system. In: Second International Symposium on Intelligent Information Technology Application, 2008, IITA 2008, vol. 1, pp. 234–238. IEEE (2008) Du, L., Fang, Y., He, Y.: Manufacturing resource optimization deployment for manufacturing execution system. In: Second International Symposium on Intelligent Information Technology Application, 2008, IITA 2008, vol. 1, pp. 234–238. IEEE (2008)
8.
Zurück zum Zitat Nitzan, D.: Development of intelligent robots: achievements and issues. IEEE J. Robot. Autom. 1(1), 3–13 (1985)MathSciNetCrossRef Nitzan, D.: Development of intelligent robots: achievements and issues. IEEE J. Robot. Autom. 1(1), 3–13 (1985)MathSciNetCrossRef
9.
Zurück zum Zitat Abele, E., et al.: Modeling and identification of an industrial robot for machining applications. CIRP Ann. Manuf. Technol. 56(1), 387–390 (2007)CrossRef Abele, E., et al.: Modeling and identification of an industrial robot for machining applications. CIRP Ann. Manuf. Technol. 56(1), 387–390 (2007)CrossRef
10.
Zurück zum Zitat Rao, R.V., Patel, B.K., Parnichkun, M.: Industrial robot selection using a novel decision making method considering objective and subjective preferences. Robot. Auton. Syst. 59(6), 367–375 (2011)CrossRef Rao, R.V., Patel, B.K., Parnichkun, M.: Industrial robot selection using a novel decision making method considering objective and subjective preferences. Robot. Auton. Syst. 59(6), 367–375 (2011)CrossRef
11.
Zurück zum Zitat Chu, T.C., Lin, Y.C.: A fuzzy TOPSIS method for robot selection. Int. J. Adv. Manuf. Technol. 21(4), 284–290 (2003)CrossRef Chu, T.C., Lin, Y.C.: A fuzzy TOPSIS method for robot selection. Int. J. Adv. Manuf. Technol. 21(4), 284–290 (2003)CrossRef
12.
Zurück zum Zitat Kahraman, C., Çevik, S., Ates, N.Y., et al.: Fuzzy multi-criteria evaluation of industrial robotic systems. Comput. Ind. Eng. 52(4), 414–433 (2007)CrossRef Kahraman, C., Çevik, S., Ates, N.Y., et al.: Fuzzy multi-criteria evaluation of industrial robotic systems. Comput. Ind. Eng. 52(4), 414–433 (2007)CrossRef
13.
Zurück zum Zitat Khandekar, A., Chakraborty, S.: Selection of industrial robot using axiomatic design principles in fuzzy environment. Decis. Sci. Lett. 4(2), 181–192 (2015)CrossRef Khandekar, A., Chakraborty, S.: Selection of industrial robot using axiomatic design principles in fuzzy environment. Decis. Sci. Lett. 4(2), 181–192 (2015)CrossRef
14.
Zurück zum Zitat Sen, D.K., Datta, S., Patel, S.K., et al.: Multi-criteria decision making towards selection of industrial robot: exploration of PROMETHEE II method. Benchmarking Int. J. 22(3), 465–487 (2015)CrossRef Sen, D.K., Datta, S., Patel, S.K., et al.: Multi-criteria decision making towards selection of industrial robot: exploration of PROMETHEE II method. Benchmarking Int. J. 22(3), 465–487 (2015)CrossRef
15.
Zurück zum Zitat Bornschlegl, M., Drechsel, M., Kreitlein, S., et al.: Holistic approach to reducing co2 emissions along the energy-chain (e-chain). In: Wellnitz, J., Subic, A., Trufin, R. (eds.) Sustainable Automotive Technologies 2013, pp. 227–234. Springer, Cham (2014)CrossRef Bornschlegl, M., Drechsel, M., Kreitlein, S., et al.: Holistic approach to reducing co2 emissions along the energy-chain (e-chain). In: Wellnitz, J., Subic, A., Trufin, R. (eds.) Sustainable Automotive Technologies 2013, pp. 227–234. Springer, Cham (2014)CrossRef
16.
Zurück zum Zitat Thiede, S.: Energy Efficiency in Manufacturing Systems. Springer, Berlin (2012)CrossRef Thiede, S.: Energy Efficiency in Manufacturing Systems. Springer, Berlin (2012)CrossRef
17.
Zurück zum Zitat Brossog, M., Bornschlegl, M., Franke, J.: Reducing the energy consumption of industrial robots in manufacturing systems. Int. J. Adv. Manuf. Technol. 78(5-8), 1315–1328 (2015) Brossog, M., Bornschlegl, M., Franke, J.: Reducing the energy consumption of industrial robots in manufacturing systems. Int. J. Adv. Manuf. Technol. 78(5-8), 1315–1328 (2015)
18.
Zurück zum Zitat Khandekar, A.V., Chakraborty, S.: Selection of industrial robot using axiomatic design principles in fuzzy environment. Decis. Sci. Lett. 4(2), 181–192 (2015)CrossRef Khandekar, A.V., Chakraborty, S.: Selection of industrial robot using axiomatic design principles in fuzzy environment. Decis. Sci. Lett. 4(2), 181–192 (2015)CrossRef
Metadaten
Titel
A Unified Sustainable Manufacturing Capability Model for Representing Industrial Robot Systems in Cloud Manufacturing
verfasst von
Xingxing Wu
Xuemei Jiang
Wenjun Xu
Qingsong Ai
Quan Liu
Copyright-Jahr
2015
DOI
https://doi.org/10.1007/978-3-319-22759-7_45