Operation Sequencing Optimization in CAPP Using Hybrid Teaching-Learning Based Optimization (HTLBO)

Subject Areas : Tectonostratigraphy

Hassan Halleh ¹ , Azam Sadati ² , Nasser Hajisharifi ³

1 - Golpayegan University of Technology, Golpayegan, Iran
2 - Islamic Azad University, Khomein Branch, Khomein, Iran
3 - Department of mathematics, Collage of basic sciences, Islamic azad university, Khomein branch, Khomein, Iran

Received: 2014-10-18 Accepted : 2019-07-16 Published : 2020-06-01

Keywords:

References:

Bhaskara Reddy, S.V., Shunmugam, M.S., & Narendran, T.T.    (1999). Operation sequencing in CAPP using genetic algorithms. International Journal of Production Research, 37(5),    1063–1074.

Castro de Andrade, R. (2016). New formulations for the  elementary shortest-path problem visiting a given set of nodes. European Journal of Operational Research, 254, 755–768.

Chen, X., Zhou,Y., Tang ,Z., and  Luo,Q. (2017). A hybrid algorithm combining glowworm swarm optimization and  complete 2-opt algorithm for spherical travelling salesman problems. Applied Soft Computing, 58, 104–114.

Doua, J., Li, J. & Su, C. (2018). A discrete particle swarm  optimisation for operation sequencing in CAPP. International Journal of Production   Research, 56(11), 3795-      3814.

Guo, Y.W., Mileham, A.R., Owen, G.W., & Li, W.D. (2006). Operation sequencing optimization using a particle swarm  optimization approach. Proceeding of the Institution of Mechanical Engineering, Part B: Journal of Engineering Manufacture,  220(B12), 1945– 1958.

Halevi, G., & Weill, R. (1988). Development of flexible optimum process planning procedures. CIRP, 29(1), 313–317.

Hosseini  S.M.H.(2019). Modelling and Solving the Job Shop  Scheduling Problem Followed by an Assembly Stage Considering Maintenance Operations  and Access Restrictions to Machines. Journal of Optimization in Industrial Engineering.  12 (1), 63- 78.  

Hu, Q., Qiao, L., & Peng, G. (2017). An Ant Colony Approach to Operation Sequencing Optimization in Process Planning. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 231(3),  470–489.

Keshavarz-Kohjerdi, F., &  Bagheri, A. (2017). A linear- time algorithm for finding Hamiltonian (s,t)-paths in even-sized rectangular grid graphs with a rectangular hole. Theoretical Computer Science, 690, 26-58.

Krishna, A.G., and Rao, K.M. (2006). Optimisation of operations sequence in CAPP using an ant colony algorithm. The International Journal of Advanced Manufacturing Technology, 29, 159–164.

Korde U.P., Bora B.C., Stelson K.A., & Riley D.R. (1992) Computer-Aided Process Planning for Turned Parts Using Fundamental and Heuristic Principles, Journal of Engineering for Industry, 114, 31–40. 

Koulamas, C. (1993). Operation sequencing and machining  economics. International Journal of Production Research,  31(4), 957–975.

Li, L., Fuh, J.Y.H., Zhang, Y.F., & Nee, A.Y.C. (2005). Application of genetic algorithm to computer-aided process planning in distributed manufacturing environments. Robotics and Computer-Integrated Manufacturing, 21, 568–578.

Li, W.D., Ong, S.K., & Nee, A.Y.C. (2004). Optimization of process plans using a constraint-based tabu search approach.  International Journal of Production Research, 42(10), 1955–1985.

Lin, C.J., & Wang, H.P. (1993). Optimal operation planning and sequencing; minimization of tool changeovers. International Journal of Production Research, 31(2), 311–324.

Nallakumarasamy, G., Srinivasan, P.S.S., Venkatesh Raja, K., & Malayalamurthi, R. (2011). Optimization of operation sequencing in CAPP using simulated annealing technique (SAT).  International Journal of Advanced Manufacturing Technology, 54, 721–728.

Rao, R.V., Savsani, V.J., and Vakharia, D.P. (2011). Teaching–learning-based optimization: A novel method for constrained  mechanical design optimization problems. Computer-Aided Design,  43, 303–315.

Salehi, M. & Tavakkoli-Moghaddam, R. (2009). Application of genetic algorithm to computer-aidedprocess planning in  prelimirary and detailed planning. Engineering Applications of  Artificial Intelligence, 22, 1179-1187.

Türkay, D.I., & Hüseyin, F. (1999). Optimisation of process planning functions by genetic algorithms. International Journal of  Computer and  Industrial Engineering, 36(2), 281–308.

Weill, R., Spur, G., & Eversheim, W. (1982). Survey of  computer-aided process planning systems. CIRP Annals, 31(2), 539–551.