An integrated setup/fixture planning approach for machining prismatic parts

References

• Alluru, G.K. and Rao, K.M., 2006, Optimisation of operations sequence in CAPP using an ant colony algorithm. The International Journal of Advanced Manufacturing Technology, 29 (1–2), 159–164
   Google Scholar
• Bhaskara, R.S.V., Shunmugam, M.S., and Narendran, T.T., 1999. Operation sequencing in CAPP using genetic algorithms. International Journal of Production Research, 37 (5), 1063–1074
   Google Scholar
• Cai , N , Wang , L and Feng , HY . 2008 . Adaptive setup planning of prismatic parts for machine tools with varying configurations . International Journal of Production Research , 46 ( 3 ) : 571 – 594 .
   Web of Science ®Google Scholar
• Chen , CLP and LeClair , SR . 1994 . Integration of design and manufacturing: solving setup generation and feature sequencing using an unsupervised-learning approach . Computer-Aided Design , 26 ( 1 ) : 59 – 75 .
   Web of Science ®Google Scholar
• Chen , J , Zhang , YF and Nee , AYC . 1998 . Setup planning using Hopfield net and simulated annealing . International Journal of Production Research , 36 ( 4 ) : 981 – 1000 .
   Web of Science ®Google Scholar
• Chu , CCP and Gadh , R . 1996 . Feature-based approach for set-up minimization of process design from product design . Computer-Aided Design , 28 ( 5 ) : 321 – 332 .
   Web of Science ®Google Scholar
• Dashora , Y , Tiwari , MK and Karunakaran , KP . 2008 . A psycho clonal algorithm-based approach to solve [the] operation sequencing problem in a CAPP environment . International Journal of Computer Integrated Manufacturing , 21 ( 5 ) : 510 – 525 .
   Web of Science ®Google Scholar
• Ding, L., et al., 2005. Global optimization of a feature-based process sequence using GA and ANN techniques. International Journal of Production Research, 43 (15), 3247–3272
   Google Scholar
• Guo , YW . 2006 . Operation sequencing optimization using a particle swarm optimization approach . Proceedings of the Institution of Mechanical Engineers Part B – Journal of Engineering Manufacture , 220 ( 12 ) : 1945 – 1958 .
   Web of Science ®Google Scholar
• Hebbal , SS and Mehta , NK . 2008 . Setup planning for machining the features of prismatic parts . International Journal of Production Research , 46 ( 12 ) : 3241 – 3257 .
   Web of Science ®Google Scholar
• Huang, S.H., 2002. Integrated setup planning and fixture design: issues and solutions. Transactions of NAMRI/SME, Volume XXX, 589–596
   Google Scholar
• Huang , SH , Zhang , HC and Oldham , WJB . 1997 . Tolerance analysis for setup planning: a graph theoretical approach . International Journal of Production Research , 35 ( 4 ) : 1107 – 1124 .
   Web of Science ®Google Scholar
• Joneja, A. and Chang, T.-C., 1999. Setup and fixture planning in automated process planning systems, IIE Transactions, 31 (7), 653–665
   Google Scholar
• Kim , IT and Suh , HW . 1998 . Optimal operation grouping and sequencing technique for multistage machining systems . International Journal of Production Research , 36 ( 8 ) : 2061 – 2081 .
   Web of Science ®Google Scholar
• Li , WD , Ong , SK and Nee , AYC . 2002 . Hybrid genetic algorithm and simulated annealing approach for the optimization of process plans for prismatic parts . International Journal of Production Research , 40 ( 8 ) : 1899 – 1922 .
   Web of Science ®Google Scholar
• Li , WD and McMahon , CA . 2007 . A simulated annealing-based optimization approach for integrated process planning and scheduling . International Journal of Computer Integrated Manufacturing , 20 ( 1 ) : 80 – 95 .
   Web of Science ®Google Scholar
• Liu, Q. and Huang, S.H., 2000. Geometric tolerance normalization and its application. Transactions of NAMRI/SME, Volume XXVIII, 305–310
   Google Scholar
• Ma , GH , Zhang , YF and Nee , AYC . 2000 . A simulated annealing-based optimization algorithm for process planning . International Journal of Production Research , 38 ( 12 ) : 2671 – 2687 .
   Web of Science ®Google Scholar
• Sarma , SE and Wright , PK . 1996 . Algorithms for the minimization of setups and tool changes in ‘simply fixturable’ components in milling . Journal of Manufacturing Systems , 15 ( 2 ) : 95 – 112 .
   Web of Science ®Google Scholar
• Shunmugam , MS , Mahesh , P and Reddy , SVB . 2002 . A method of preliminary planning for rotational components with C-axis features using genetic algorithm . Computers in Industry , 48 ( 3 ) : 199 – 217 .
   Web of Science ®Google Scholar
• Stampfer , M . 2009 . Automated setup and fixture planning system for box-shaped parts . International Journal of Advanced Manufacturing Technology , 45 ( 5–6 ) : 540 – 552 .
   Web of Science ®Google Scholar
• Sun , XW . 2010 . A new directed graph approach for automated setup planning in CAPP . International Journal of Production Research , 48 ( 22 ) : 6583 – 6612 .
   Web of Science ®Google Scholar
• Xu , N , Huang , HS and Rong , YK . 2007 . Automatic setup planning: current state-of-the-art and future perspective . International Journal of Manufacturing Technology and Management , 11 ( 2 ) : 193 – 208 .
   Google Scholar
• Zhang , HC and Lin , E . 1999 . A hybrid-graph approach for automated setup planning in CAPP . Robotics and Computer-Integrated Manufacturing , 15 ( 1 ) : 89 – 100 .
   Web of Science ®Google Scholar
• Zhang , YF , Nee , AYC and Ong , SK . 1995 . A hybrid approach for set-up planning . International Journal of Advanced Manufacturing Technology , 10 ( 3 ) : 183 – 190 .
   Web of Science ®Google Scholar
• Zhang , Y . 2001 . Graph-based set-up planning and tolerance decomposition for computer aided fixture design . International Journal of Production Research , 39 ( 14 ) : 3109 – 3126 .
   Web of Science ®Google Scholar