8
How to cite this paper
APA: Bottani, E., Centobelli, P., Cerchione, R., Gaudio, L & Murino, T. (2017). Solving machine loading problem of flexible manufacturing systems using a modified discrete firefly algorithm. International Journal of Industrial Engineering Computations, 8(3), 363-372.
Chicago/Turabian: Bottani, E., Centobelli, P., Cerchione, R., Gaudio, L & Murino, T. 2017. "Solving machine loading problem of flexible manufacturing systems using a modified discrete firefly algorithm." International Journal of Industrial Engineering Computations 8, no. 3 (2017): 363-372.
AMA: Bottani, E., Centobelli, P., Cerchione, R., Gaudio, L & Murino, T. Solving machine loading problem of flexible manufacturing systems using a modified discrete firefly algorithm. International Journal of Industrial Engineering Computations. 2017;8(3):363-372.
References
Abazari, A., Solimanpur, M., & Sattari, H. (2012). Optimum loading of machines in a flexible manufacturing system using a mixed-integer linear mathematical programming model and genetic algorithm. Computers and Industrial Engineering, 62(2), 469-478.
Biswas, S., & Mahapatra, S. S. (2008). Modified particle swarm optimization for solving machine-loading problems in flexible manufacturing systems. The International Journal of Advanced Manufacturing Technology, 39(9-10), 931-942.
Biswas, S., & Mahapatra, S. S. (2009). An improved metaheuristic approach for solving the machine loading problem in flexible manufacturing systems. International Journal of Services and Operations Management, 5(1), 76-93.
Cerchione, R., & Esposito, E. (2016). A Systematic Review of Supply Chain Knowledge Management Research: State of the Art and Research Opportunities. International Journal of Production Economics, 182, 276-292.
ElMaraghy, H. (2005). Flexible and reconfigurable manufacturing systems paradigms. International Journal of Flexible Manufacturing Systems, 17(4), 261–276.
Karthikeyan, S., Asokan, P., & Nickolas, S. (2014). A hybrid discrete firefly algorithm for multi-objective flexible job shop scheduling problem with limited resource constraints. The International Journal of Advanced Manufacturing Technology, 72(9-12), 1567-1579.
Kumar, A., Prakash, Tiwari, M., Shankar, R., & Baveja, A. (2006). Solving machine-loading problem of a flexible manufacturing system with constraint-based genetic algorithm. European Journal of Operational Research, 175(2), 1043-1069.
Kumar, V. M., Murthy, A. N. N., & Chandrashekara, K. (2012). A hybrid algorithm optimization approach for machine loading problem in flexible manufacturing system. Journal of Industrial Engineering International, 8(1), 1-10.
Lee, S. M., & Jung, H. J. (1989). A multi-objective production planning model in a flexible manufacturing environment. The International Journal of Production Research, 27(11), 1981-1992.
Lu, S., & Wang, X. (2016). Modeling the fuzzy cold storage problem and its solution by a discrete firefly algorithm. Journal of Intelligent and Fuzzy Systems, 31(4), 2431-2440.
Mgwatu, M. (2011). Integration of part selection, machine loading and machining optimisation decisions for balanced workload in flexible manufacturing system. International Journal of Industrial Engineering Computations, 2(4), 913-930.
Moncayo-Martinez, L., & Zhang, D. (2011). Multi objective ant colony optimisation:a meta-heuristic approach to Supply Chain design. International Journal of Production Economics, 131(1), 407-420.
Mukopadhyay, S., Midha, S., & Krishna, V. (1992). A heuristic procedure for loading problem in flexible manufacturing system. International Journal of Production Research, 30(9), 2213-2228.
Osaba, E., Yang, X.-S., Diaz, F., Onieva, E., Masegosa, A., & Perallos, A. (2016). A discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy. Soft Computing, 1-14.
Pandey, M. (2011). Operation allocation in flexible manufacturing system using immune algorithm. In M. T. Harding, Evolutionary Computing in Advanced Manufacturing (p. 95-121). Hoboken, NJ, USA.
Ponnambalam, S. G., & Kiat, L. S. (2008). Solving machine loading problem in flexible manufacturing systems using particle swarm optimization. International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 2(3), 242-247.
Prakash, A., Khilwani, N., Tiwari, M., & Cohen, Y. (2008). Modified immune algorithm for job selection and operation allocation problem in flexible manufacturing system. Advances in Engineering Software, 39(3), 219-232.
Prakash, A., Shankar, R., Shukla, N., & Tiwari, M. (2007). Solving machine loading problem of FMS: An artificial intelligence (AI) based random search optimization approach. In Handbook of Computational Intelligence in Manufacturing and Production Management (p. 19-43).
Prakash, A., Tiwari, M., & Shankar, R. (2008). Optimal job sequence determination and operation machine allocation in flexible manufacturing systems: An approach using adaptive hierarchical ant colony algorithm. Journal of Intelligent Manufacturing, 19(2), 161–173.
Sandhyarani, B., & Mahapatra, S. (2009). An improved metaheuristic approach for solving the machine loading problem in flexible manufacturing systems. International Journal of Services and Operations Management, 5(1), 76-93.
Santuka, R., Mahapatra, S., Dhal, P., & Mishra, A. (2015). An improved particle swarm optimization approach for solving machine loading problem in flexible manufacturing system. Journal of Advanced Manufacturing Systems, 14(3), 167-187.
Sayadi, M., Ramezanian, R., & Ghaffari-Nasab, N. (2010). A discrete firefly meta-heuristic with local search for makespan minimization in permutation flow shop scheduling problems. International Journal of Industrial Engineering Computations, 1(1), 1-10.
Srinivas, Tiwari, M., & Allada, V. (2004). Solving the machine loading problem in a flexible manufacturing system using a combinatorial auction-based approach. International Journal of Production Research, 42(9), 1879-1893.
Stecke, K. (1983). Formulation and solution of nonlinear integer production planning problems for flexible manufacturing systems. Management Science, 29, 273-288.
Stecke, K. E., & Solberg, J. J. (1981). Loading and control policies for a flexible manufacturing system. The International Journal of Production Research, 19(5), 481-490.
Swarnkar, R., & Tiwari, M. K. (2004). Modeling machine loading problem of FMSs and its solution methodology using a hybrid tabu search and simulated annealing-based heuristic approach. Robotics and Computer-Integrated Manufacturing, 20(3), 199-209.
Tiwari, M., Hazarika, B., Vidyarthi, N., Jaggi, P., & Mukopadhyay, S. (1997). A heuristic solution approach to the machine loading problem of FMS and its petri net model. International Journal of Production Research, 35(8), 2269-2284.
Tiwari, M., Saha, J., & Mukhopadhyay, S. (2007). Heuristic solution approaches for combined-job sequencing and machine loading problem in flexible manufacturing systems. The International Journal of Advanced Manufacturing Technology, 31(7-8), 716-730.
Yang, X. (2009). Firefly algorithms for multimodal optimization. In Stochastic algorithms:. In Stochastic Algorithms: Foundations and Applications (p. 169-178). Springer Berlin Heidelberg.
Yogeswaran, M., Ponnambalam, S., & Tiwari, M. (2009). An efficient hybrid evolutionary heuristic using genetic algorithm and simulated annealing algorithm to solve machine loading problem in FMS. International Journal of Production Research, 47(19), 5421-5448.
Yusof, U., Budiarto, R., & Deris, S. (2014). A hybrid of bio-inspired and musical-harmony approach for machine loading optimization in flexible manufacturing system. International Journal of Innovative Computing, Information and Control, 10(6), 2325-2344.
Yusof, U., Khalid, M., & Khader, A. (2014). Artificial immune system for flexible manufacturing system machine loading problem. ICIC Express Letters, 8(3), 709-716.
Zhou, L., Ding, L., Qiang, X., & Luo, Y. (2015). An improved discrete firefly algorithm for the traveling salesman problem. Journal of Computational and Theoretical Nanoscience, 12(7), 1184-1189.
Biswas, S., & Mahapatra, S. S. (2008). Modified particle swarm optimization for solving machine-loading problems in flexible manufacturing systems. The International Journal of Advanced Manufacturing Technology, 39(9-10), 931-942.
Biswas, S., & Mahapatra, S. S. (2009). An improved metaheuristic approach for solving the machine loading problem in flexible manufacturing systems. International Journal of Services and Operations Management, 5(1), 76-93.
Cerchione, R., & Esposito, E. (2016). A Systematic Review of Supply Chain Knowledge Management Research: State of the Art and Research Opportunities. International Journal of Production Economics, 182, 276-292.
ElMaraghy, H. (2005). Flexible and reconfigurable manufacturing systems paradigms. International Journal of Flexible Manufacturing Systems, 17(4), 261–276.
Karthikeyan, S., Asokan, P., & Nickolas, S. (2014). A hybrid discrete firefly algorithm for multi-objective flexible job shop scheduling problem with limited resource constraints. The International Journal of Advanced Manufacturing Technology, 72(9-12), 1567-1579.
Kumar, A., Prakash, Tiwari, M., Shankar, R., & Baveja, A. (2006). Solving machine-loading problem of a flexible manufacturing system with constraint-based genetic algorithm. European Journal of Operational Research, 175(2), 1043-1069.
Kumar, V. M., Murthy, A. N. N., & Chandrashekara, K. (2012). A hybrid algorithm optimization approach for machine loading problem in flexible manufacturing system. Journal of Industrial Engineering International, 8(1), 1-10.
Lee, S. M., & Jung, H. J. (1989). A multi-objective production planning model in a flexible manufacturing environment. The International Journal of Production Research, 27(11), 1981-1992.
Lu, S., & Wang, X. (2016). Modeling the fuzzy cold storage problem and its solution by a discrete firefly algorithm. Journal of Intelligent and Fuzzy Systems, 31(4), 2431-2440.
Mgwatu, M. (2011). Integration of part selection, machine loading and machining optimisation decisions for balanced workload in flexible manufacturing system. International Journal of Industrial Engineering Computations, 2(4), 913-930.
Moncayo-Martinez, L., & Zhang, D. (2011). Multi objective ant colony optimisation:a meta-heuristic approach to Supply Chain design. International Journal of Production Economics, 131(1), 407-420.
Mukopadhyay, S., Midha, S., & Krishna, V. (1992). A heuristic procedure for loading problem in flexible manufacturing system. International Journal of Production Research, 30(9), 2213-2228.
Osaba, E., Yang, X.-S., Diaz, F., Onieva, E., Masegosa, A., & Perallos, A. (2016). A discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy. Soft Computing, 1-14.
Pandey, M. (2011). Operation allocation in flexible manufacturing system using immune algorithm. In M. T. Harding, Evolutionary Computing in Advanced Manufacturing (p. 95-121). Hoboken, NJ, USA.
Ponnambalam, S. G., & Kiat, L. S. (2008). Solving machine loading problem in flexible manufacturing systems using particle swarm optimization. International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 2(3), 242-247.
Prakash, A., Khilwani, N., Tiwari, M., & Cohen, Y. (2008). Modified immune algorithm for job selection and operation allocation problem in flexible manufacturing system. Advances in Engineering Software, 39(3), 219-232.
Prakash, A., Shankar, R., Shukla, N., & Tiwari, M. (2007). Solving machine loading problem of FMS: An artificial intelligence (AI) based random search optimization approach. In Handbook of Computational Intelligence in Manufacturing and Production Management (p. 19-43).
Prakash, A., Tiwari, M., & Shankar, R. (2008). Optimal job sequence determination and operation machine allocation in flexible manufacturing systems: An approach using adaptive hierarchical ant colony algorithm. Journal of Intelligent Manufacturing, 19(2), 161–173.
Sandhyarani, B., & Mahapatra, S. (2009). An improved metaheuristic approach for solving the machine loading problem in flexible manufacturing systems. International Journal of Services and Operations Management, 5(1), 76-93.
Santuka, R., Mahapatra, S., Dhal, P., & Mishra, A. (2015). An improved particle swarm optimization approach for solving machine loading problem in flexible manufacturing system. Journal of Advanced Manufacturing Systems, 14(3), 167-187.
Sayadi, M., Ramezanian, R., & Ghaffari-Nasab, N. (2010). A discrete firefly meta-heuristic with local search for makespan minimization in permutation flow shop scheduling problems. International Journal of Industrial Engineering Computations, 1(1), 1-10.
Srinivas, Tiwari, M., & Allada, V. (2004). Solving the machine loading problem in a flexible manufacturing system using a combinatorial auction-based approach. International Journal of Production Research, 42(9), 1879-1893.
Stecke, K. (1983). Formulation and solution of nonlinear integer production planning problems for flexible manufacturing systems. Management Science, 29, 273-288.
Stecke, K. E., & Solberg, J. J. (1981). Loading and control policies for a flexible manufacturing system. The International Journal of Production Research, 19(5), 481-490.
Swarnkar, R., & Tiwari, M. K. (2004). Modeling machine loading problem of FMSs and its solution methodology using a hybrid tabu search and simulated annealing-based heuristic approach. Robotics and Computer-Integrated Manufacturing, 20(3), 199-209.
Tiwari, M., Hazarika, B., Vidyarthi, N., Jaggi, P., & Mukopadhyay, S. (1997). A heuristic solution approach to the machine loading problem of FMS and its petri net model. International Journal of Production Research, 35(8), 2269-2284.
Tiwari, M., Saha, J., & Mukhopadhyay, S. (2007). Heuristic solution approaches for combined-job sequencing and machine loading problem in flexible manufacturing systems. The International Journal of Advanced Manufacturing Technology, 31(7-8), 716-730.
Yang, X. (2009). Firefly algorithms for multimodal optimization. In Stochastic algorithms:. In Stochastic Algorithms: Foundations and Applications (p. 169-178). Springer Berlin Heidelberg.
Yogeswaran, M., Ponnambalam, S., & Tiwari, M. (2009). An efficient hybrid evolutionary heuristic using genetic algorithm and simulated annealing algorithm to solve machine loading problem in FMS. International Journal of Production Research, 47(19), 5421-5448.
Yusof, U., Budiarto, R., & Deris, S. (2014). A hybrid of bio-inspired and musical-harmony approach for machine loading optimization in flexible manufacturing system. International Journal of Innovative Computing, Information and Control, 10(6), 2325-2344.
Yusof, U., Khalid, M., & Khader, A. (2014). Artificial immune system for flexible manufacturing system machine loading problem. ICIC Express Letters, 8(3), 709-716.
Zhou, L., Ding, L., Qiang, X., & Luo, Y. (2015). An improved discrete firefly algorithm for the traveling salesman problem. Journal of Computational and Theoretical Nanoscience, 12(7), 1184-1189.