A Genetic Algorithm Based Permutation and Non-Permutation Scheduling Heuristics for Finite Capacity Material Requirement Planning Problem
 W. H. M. Zijm, and R. Buitenhek, “Capacity planning and lead time management,” International Journal of Production Economics. vol. 46, pp. 165-179, 1996.
 M. Taal, and J. C. Wortmann, “Integrating MRP and finite capacity planning,” Production Planning & Control, vol. 8, no. 3, pp. 245-251, 1997.
 P. C. Pandey, P. Yenradee, S. Archariyapruek, “A finite capacity material requirement planning system,” Production Planning & Control, vol. 11, no. 2, pp.113–121, 2000.
 P. B., Nagendra, and S. K. Das, “Finite capacity scheduling method for MRP with lot size restrictions,” International Journal of Production Research, vol. 39 no. 8, pp. 1603-1623, 2001.
 T. Wuttipornpun, and P. Yenradee, “Development of finite capacity material requirement planning system for assembly operations,” Production Planning & Control, vol. 15, no. 4, pp. 534-549, 2004.
 J. Mula, R. Poler, J. P. Garcia, “MRP with flexible constraints: A fuzzy mathematical programming approach.” Fuzzy Sets and Systems, vol. 157, no. 1, pp. 74-97, 2006.
 M. Vanhoucke, and D. Debels, A finite-capacity production scheduling procedure for a Belgian steel company. International Journal of Production Research, vol. 47 no. 3, pp. 561–584, 2009.
 C. Öztürk, A. M. Örnek “Capacitated lot sizing with linked lots for general product structures in job shops,” Computers & Industrial Engineering vol. 58, no. 1, pp. 151–164, 2010.
 K. Thörnblad, A-B. Strömberg, M. Patriksson, and T. Almgren, “Scheduling optimisation of a real flexible job shop including fixture availability and preventive maintenance,” European Journal of Industrial Engineering, vol. 9, no. 1, pp. 126–145, 2015.
 C. Moon, Y. Seo, Y. Yum, and M. Gen, “Adaptive genetic algorithm for advanced planning in manufacturing supply chain,” Journal of Intelligent Manufacturing, vol. 17, no. 4, pp. 509-522, 2006.
 H. Kim, H. I. Jeong, and J. Park, “Integrated model for production planning and scheduling in a supply chain using benchmarked genetic algorithm,” International Journal of Advanced Manufacturing Technology, vol. 39, no. 11, pp. 1207–1226, 2008.
 M. H. F. Rahman, R. Sarkerm and D. Essam, “A real-time order acceptance and scheduling approach for permutation flow shop problems,” European Journal of Operational Research, vol. 247, no. 2, pp. 488-503, 2015.
 M. Zandieh, and N. Karimi, “An adaptive multi-population genetic algorithm to solve the multi-objective group scheduling problem in hybrid flexible flowshop with sequence-dependent setup times,” Journal of Intelligent Manufacturing, vol. 22, no. 6, pp. 979-989, 2011.
 P-C. Chang, W-H. Huang, J-L. Wu, and T. C. E. Cheng, “A block mining and re-combination enhanced genetic algorithm for the permutation flowshop scheduling problem,” International Journal of Production Economics, vol. 141, no. 1, pp. 45-55, 2013.
 T. Wuttipornpun, and P. Yenradee, “Finite capacity material requirement planning system for assembly flow shop with alternative work centres,” International Journal of Industrial and Systems Engineering, vol. 18, no. 1, pp. 95–124, 2014.
 R. Vanchipur, and R. Sridharan, “Development and analysis of hybrid genetic algorithms for flow shop scheduling with sequence dependent setup time” International Journal of Services and Operations Management, vol. 17, no. 2, 2014.