How to cite this paper
Wang, K., Han, Q & Li, Z. (2023). Mixed-model assembly line balancing problem in multi-demand scenarios.International Journal of Industrial Engineering Computations , 14(4), 645-658.
Refrences
Aguilar, H., García-Villoria, A., & Pastor, R. (2020). A survey of the parallel assembly lines balancing problem. Computers & Operations Research, 124, 105061.
Anuar, R., & Bukchin, Y. (2006). Design and operation of dynamic assembly lines using work-sharing. International Journal of Production Research, 44(18-19), 4043-4065.
Cakir, B., Altiparmak, F., & Dengiz, B. (2011). Multi-objective optimization of a stochastic assembly line balancing: A hybrid simulated annealing algorithm. Computers & Industrial Engineering, 60(3), 376-384.
Daneshamooz, F., Fattahi, P., & Hosseini, S. M. H. (2022). Scheduling in a flexible job shop followed by some parallel assembly stations considering lot streaming. Engineering Optimization, 54(4), 614-633.
Guo, Z. X., Wong, W. K., Leung, S. Y. S., Fan, J. T., & Chan, S. F. (2008). A genetic-algorithm-based optimization model for solving the flexible assembly line balancing problem with work sharing and workstation revisiting. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 38(2), 218-228.
Hazır, Ö., & Dolgui, A. (2013). Assembly line balancing under uncertainty: Robust optimization models and exact solution method. Computers & Industrial Engineering, 65(2), 261-267.
Jiao, Y., Jiao, Y., Deng, X., Li, M., Xing, X., & Xu, B. (2022). Balancing of parallel U-shaped assembly lines with a heuristic algorithm based on bidirectional priority values. Concurrent Engineering, 30(1), 80-92.
Leiber, D., Vuong, A. T., & Reinhart, G. (2022). Alternative subgraphs assembly line balancing problem with resource selection and parallel stations. Engineering Optimization, 54(11), 1903-1918.
Li, J., & Gao, J. (2014). Balancing manual mixed-model assembly lines using overtime work in a demand variation environment. International Journal of Production Research, 52(12), 3552-3567.
Zhenping, L., Ying, S., & Lingyun, W. (2023). Research on Mixed Flow Line Balancing and Scheduling Optimization with Multiple Constraints. Journal of System Simulation, 35(1), 27.
Lopes, T. C., Michels, A. S., Sikora, C. G. S., Brauner, N., & Magatão, L. (2021). Assembly line balancing for two cycle times: Anticipating demand fluctuations. Computers & Industrial Engineering, 162, 107685.
Lopes, T. C., Michels, A. S., Sikora, C. G. S., & Magatão, L. (2019). Balancing and cyclical scheduling of asynchronous mixed-model assembly lines with parallel stations. Journal of Manufacturing Systems, 50, 193-200.
Mosadegh, H., Ghomi, S. F., & Zandieh, M. (2012). Simultaneous solving of balancing and sequencing problems in mixed-model assembly line systems. International Journal of Production Research, 50(18), 4994-5016.
Niroomand, S. (2021). Hybrid artificial electric field algorithm for assembly line balancing problem with equipment model selection possibility. Knowledge-Based Systems, 219, 106905.
Otto, A., Otto, C., & Scholl, A. (2013). Systematic data generation and test design for solution algorithms on the example of SALBPGen for assembly line balancing. European Journal of Operational Research, 228(1), 33-45.
Özcan, U. (2019). Balancing and scheduling tasks in parallel assembly lines with sequence-dependent setup times. International Journal of Production Economics, 213, 81-96.
Pearce, B. W., Antani, K., Mears, L., Funk, K., Mayorga, M. E., & Kurz, M. E. (2019). An effective integer program for a general assembly line balancing problem with parallel workers and additional assignment restrictions. Journal of Manufacturing Systems, 50, 180-192.
Salehi, M., Maleki, H. R., & Niroomand, S. (2020). Solving a new cost-oriented assembly line balancing problem by classical and hybrid meta-heuristic algorithms. Neural Computing and Applications, 32, 8217-8243.
Sikora, C. G. S. (2021). Benders’ decomposition for the balancing of assembly lines with stochastic demand. European Journal of Operational Research, 292(1), 108-124.
Simaria, A. S., Zanella de Sá, M., & Vilarinho, P. M. (2009). Meeting demand variation using flexible U-shaped assembly lines. International Journal of Production Research, 47(14), 3937-3955.
Yang, C., & Gao, J. (2016). Balancing mixed-model assembly lines using adjacent cross-training in a demand variation environment. Computers & Operations Research, 65, 139-148.
Zhang, H. Y., Chen, X. Q., & Mao, N. (2020) Queuing network modelling and optimal buffer allocation for reentrant job shops. Computer Integrated Manufacturing Systems, 26(9), 2511.
Anuar, R., & Bukchin, Y. (2006). Design and operation of dynamic assembly lines using work-sharing. International Journal of Production Research, 44(18-19), 4043-4065.
Cakir, B., Altiparmak, F., & Dengiz, B. (2011). Multi-objective optimization of a stochastic assembly line balancing: A hybrid simulated annealing algorithm. Computers & Industrial Engineering, 60(3), 376-384.
Daneshamooz, F., Fattahi, P., & Hosseini, S. M. H. (2022). Scheduling in a flexible job shop followed by some parallel assembly stations considering lot streaming. Engineering Optimization, 54(4), 614-633.
Guo, Z. X., Wong, W. K., Leung, S. Y. S., Fan, J. T., & Chan, S. F. (2008). A genetic-algorithm-based optimization model for solving the flexible assembly line balancing problem with work sharing and workstation revisiting. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 38(2), 218-228.
Hazır, Ö., & Dolgui, A. (2013). Assembly line balancing under uncertainty: Robust optimization models and exact solution method. Computers & Industrial Engineering, 65(2), 261-267.
Jiao, Y., Jiao, Y., Deng, X., Li, M., Xing, X., & Xu, B. (2022). Balancing of parallel U-shaped assembly lines with a heuristic algorithm based on bidirectional priority values. Concurrent Engineering, 30(1), 80-92.
Leiber, D., Vuong, A. T., & Reinhart, G. (2022). Alternative subgraphs assembly line balancing problem with resource selection and parallel stations. Engineering Optimization, 54(11), 1903-1918.
Li, J., & Gao, J. (2014). Balancing manual mixed-model assembly lines using overtime work in a demand variation environment. International Journal of Production Research, 52(12), 3552-3567.
Zhenping, L., Ying, S., & Lingyun, W. (2023). Research on Mixed Flow Line Balancing and Scheduling Optimization with Multiple Constraints. Journal of System Simulation, 35(1), 27.
Lopes, T. C., Michels, A. S., Sikora, C. G. S., Brauner, N., & Magatão, L. (2021). Assembly line balancing for two cycle times: Anticipating demand fluctuations. Computers & Industrial Engineering, 162, 107685.
Lopes, T. C., Michels, A. S., Sikora, C. G. S., & Magatão, L. (2019). Balancing and cyclical scheduling of asynchronous mixed-model assembly lines with parallel stations. Journal of Manufacturing Systems, 50, 193-200.
Mosadegh, H., Ghomi, S. F., & Zandieh, M. (2012). Simultaneous solving of balancing and sequencing problems in mixed-model assembly line systems. International Journal of Production Research, 50(18), 4994-5016.
Niroomand, S. (2021). Hybrid artificial electric field algorithm for assembly line balancing problem with equipment model selection possibility. Knowledge-Based Systems, 219, 106905.
Otto, A., Otto, C., & Scholl, A. (2013). Systematic data generation and test design for solution algorithms on the example of SALBPGen for assembly line balancing. European Journal of Operational Research, 228(1), 33-45.
Özcan, U. (2019). Balancing and scheduling tasks in parallel assembly lines with sequence-dependent setup times. International Journal of Production Economics, 213, 81-96.
Pearce, B. W., Antani, K., Mears, L., Funk, K., Mayorga, M. E., & Kurz, M. E. (2019). An effective integer program for a general assembly line balancing problem with parallel workers and additional assignment restrictions. Journal of Manufacturing Systems, 50, 180-192.
Salehi, M., Maleki, H. R., & Niroomand, S. (2020). Solving a new cost-oriented assembly line balancing problem by classical and hybrid meta-heuristic algorithms. Neural Computing and Applications, 32, 8217-8243.
Sikora, C. G. S. (2021). Benders’ decomposition for the balancing of assembly lines with stochastic demand. European Journal of Operational Research, 292(1), 108-124.
Simaria, A. S., Zanella de Sá, M., & Vilarinho, P. M. (2009). Meeting demand variation using flexible U-shaped assembly lines. International Journal of Production Research, 47(14), 3937-3955.
Yang, C., & Gao, J. (2016). Balancing mixed-model assembly lines using adjacent cross-training in a demand variation environment. Computers & Operations Research, 65, 139-148.
Zhang, H. Y., Chen, X. Q., & Mao, N. (2020) Queuing network modelling and optimal buffer allocation for reentrant job shops. Computer Integrated Manufacturing Systems, 26(9), 2511.