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Original Articles

A knowledge-based approach to automated machining process selection and sequencing

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Pages 3465-3484 | Received 01 Jan 1995, Published online: 02 Apr 2007

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Ahmed Azab. (2016) Quadratic assignment problem mathematical modelling for process planning. International Journal of Computer Integrated Manufacturing 29:5, pages 561-580.
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S.P. Leo Kumar, J. Jerald & S. Kumanan. (2014) An intelligent process planning system for micro turn-mill parts. International Journal of Production Research 52:20, pages 6052-6075.
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D.P. Gupta, B. Gopalakrishnan, S.A. Chaudhari & S. Jalali. (2011) Development of an integrated model for process planning and parameter selection for machining processes. International Journal of Production Research 49:21, pages 6301-6319.
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Xiwu Sun, Xuening Chu, Yuliang Su & Censhu Tang. (2010) A new directed graph approach for automated setup planning in CAPP. International Journal of Production Research 48:22, pages 6583-6612.
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W. D. Li, S. K. Ong & A. Y. C. Nee. (2004) Optimization of process plans using a constraint-based tabu search approach. International Journal of Production Research 42:10, pages 1955-1985.
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F. González & P. Rosado. (2004) General information model for representing machining features in CAPP systems. International Journal of Production Research 42:9, pages 1815-1842.
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W. D. Li, S. K. Ong & A. Y. C. Nee. (2002) Hybrid genetic algorithm and simulated annealing approach for the optimization of process plans for prismatic parts. International Journal of Production Research 40:8, pages 1899-1922.
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Articles from other publishers (14)

M. Tolouei-Rad. (2023) A NEW APPROACH TO САРР. A NEW APPROACH TO САРР.
Wenbo Wu, Zhengdong Huang, Kangxiang Wu & Yongfu Chen. (2020) An optimization approach for setup planning and operation sequencing with tolerance constraints. The International Journal of Advanced Manufacturing Technology 106:11-12, pages 4965-4985.
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Manjunath Patel G. C.Ganesh R. Chate, Mahesh B. Parappagoudar & Kapil GuptaManjunath Patel G. C.Ganesh R. Chate, Mahesh B. Parappagoudar & Kapil Gupta. 2020. Machining of Hard Materials. Machining of Hard Materials 1 24 .
Wenbo Wu, Jiani Zeng & Zhengdong Huang. (2018) A hybrid optimization approach for setup planning with tolerance constraints. MATEC Web of Conferences 249, pages 03012.
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Prathmesh Todakar, Uday Kumar & Sunil Agrawal. 2018. Flexibility in Resource Management. Flexibility in Resource Management 137 146 .
S. P. Leo Kumar, J. Jerald, S. Kumanan & Nargundkar Aniket. (2014) Process parameters optimization for micro end-milling operation for CAPP applications. Neural Computing and Applications 25:7-8, pages 1941-1950.
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Guohua Ma & Fu Zhang. 2012. Variants of Evolutionary Algorithms for Real-World Applications. Variants of Evolutionary Algorithms for Real-World Applications 205 244 .
Wang Rui, Georg Lothar Thimm & Ma Yongsheng. (2010) Review: geometric and dimensional tolerance modeling for sheet metal forming and integration with CAPP. The International Journal of Advanced Manufacturing Technology 51:9-12, pages 871-889.
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Guang-ru Hua, Xiong-hui Zhou & Xue-yu Ruan. (2006) GA-based synthesis approach for machining scheme selection and operation sequencing optimization for prismatic parts. The International Journal of Advanced Manufacturing Technology 33:5-6, pages 594-603.
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T. Mwinuka, S. Hinduja & O.O. Owodunni. (2007) Extendible Operation Sequencing for Turn-Milled Components. CIRP Annals 56:1, pages 473-478.
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Sankha Deb, Kalyan Ghosh & S. Paul. (2006) A neural network based methodology for machining operations selection in Computer-Aided Process Planning for rotationally symmetrical parts. Journal of Intelligent Manufacturing 17:5, pages 557-569.
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W.D. Li, S.K. Ong & A.Y.C. Nee. (2005) A Web-based process planning optimization system for distributed design. Computer-Aided Design 37:9, pages 921-930.
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W.D. Li. (2005) A Web-based service for distributed process planning optimization. Computers in Industry 56:3, pages 272-288.
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Z Jin, S Luo & X Daniel Fang. (2001) KBS-aided design of tube bending processes. Engineering Applications of Artificial Intelligence 14:5, pages 599-606.
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