- Alshamsi, A., & Diabat, A. (2018). Large-scale reverse supply chain network design: An accelerated Benders decomposition algorithm. Computers & Industrial Engineering, 124, 545-559.
- Akpınar, S., & Bayhan, G. M. (2011). A hybrid genetic algorithm for mixed model assembly line balancing problem with parallel workstations and zoning constraints. Engineering Applications of Artificial Intelligence, 24(3), 449-457.
- Aydemir, E., & Karagul, K. (2020). Solving a periodic capacitated vehicle routing problem using simulated annealing algorithm for a manufacturing company. Brazilian Journal of Operations & Production Management, 17(1), 1-13.
- Baskar A, Xavior MA. (2020). Heuristics based on Slope Indices for Simple Type I Assembly Line Balancing Problems and Analyzing for a Few Performance Measures. Materials Today: Proceedings. 22, 3171-3180.
- Benders, J. F. (2005). Partitioning procedures for solving mixed-variables programming problems. Computational Management Science, 2(1), 3-19.
- Boysen, N., Fliedner, M., & Scholl, A. (2008). Assembly line balancing: Which model to use when?. International journal of production economics, 111(2), 509-528.
- Bukchin, J., Dar-El, E. M., & Rubinovitz, J. (2002). Mixed model assembly line design in a make-to-order environment. Computers & Industrial Engineering, 41(4), 405-421.
- Dziki K, Krenczyk D, (2019). Mixed-model assembly line balancing problem with tasks assignment. IOP Conference Series: Materials Science and Engineering; IOP Publishing.
- Gökċen, H., & Erel, E. (1998). Binary integer formulation for mixed-model assembly line balancing problem. Computers & industrial engineering, 34(2), 451-461.
- Kim, Y. K., Kim, J. Y., & Kim, Y. (2006). An endosymbiotic evolutionary algorithm for the integration of balancing and sequencing in mixed-model U-lines. European Journal of Operational Research, 168(3), 838-852.
- Lopes, T. C., Michels, A. S., Lüders, R., & Magatão, L. (2020). A simheuristic approach for throughput maximization of asynchronous buffered stochastic mixed-model assembly lines. Computers & Operations Research, 115, 104863.
- Magnanti, T. L., & Wong, R. T. (1981). Accelerating Benders decomposition: Algorithmic enhancement and model selection criteria. Operations research, 29(3), 464-484.
- Manavizadeh, N., Rabbani, M., Moshtaghi, D., & Jolai, F. (2012). Mixed-model assembly line balancing in the make-to-order and stochastic environment using multi-objective evolutionary algorithms. Expert Systems with Applications, 39(15), 12026-12031.
- Mosadegh H, Ghomi SF, Süer G. (2020). Stochastic mixed-model assembly line sequencing problem: Mathematical modeling and Q-learning based simulated annealing hyper-heuristics. European Journal of Operational Research. 282(2):530-44.
- Rabbani, M., Aliabadi, L., & Farrokhi-Asl, H. (2019). A Multi-Objective Mixed Model Two-Sided Assembly Line Sequencing Problem in a Make–to-Order Environment with Customer Order Prioritization. Journal of Optimization in Industrial Engineering, 12(2), 1-20.
- Rauf M, Guan Z, Sarfraz S, Mumtaz J, Shehab E, Jahanzaib M. (2020). A smart algorithm for multi-criteria optimization of model sequencing problem in assembly lines. Robotics and Computer-Integrated Manufacturing, 61, 830-844.
- Razali, M. M., Kamarudin, N. H., Rashid, M. F. F. A., & Rose, A. N. M. (2019). Recent trend in mixed-model assembly line balancing optimization using soft computing approaches. Engineering Computations, 36(2), 622-645.
- Ruppert T, Dorgo G, Abonyi J. (2020). Fuzzy activity time-based model predictive control of open-station assembly lines. Journal of Manufacturing Systems. 54, 12-23.
- Scholl, A., & Becker, C. (2006). State-of-the-art exact and heuristic solution procedures for simple assembly line balancing. European Journal of Operational Research, 168(3), 666-693.
- Yadav A, Verma P, Agrawal S. (2020). Mixed model two sided assembly line balancing problem: an exact solution approach. International Journal of System Assurance Engineering and Management, 1-14.
- Zhang B, Xu L, Zhang J. (2020). A multi-objective cellular genetic algorithm for energy-oriented balancing and sequencing problem of mixed-model assembly line. Journal of Cleaner Production. 244:118845.
- Zhang J-H, Li A-P, Liu X-M. (2019). Hybrid genetic algorithm for a type-II robust mixed-model assembly line balancing problem with interval task times. Advances in Manufacturing. 7(2):117-32..
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