How to cite this paper
Alhomaidhi, E. (2024). Enhancing efficiency and adaptability in mixed model line balancing through the fusion of learning effects and worker prerequisites.International Journal of Industrial Engineering Computations , 15(2), 541-552.
Refrences
Alhomaidi, E., & Askin, R. G. (2022). The Assembly Line Balancing Problem in the Presence of Task Learning and Demand Fulfilment (ALBLDP). In IIE Annual Conference. Proceedings (pp. 1-6). Institute of Industrial and Systems Engineers (IISE).
Battaïa, O., Delorme, X., Dolgui, A., Hagemann, J., Horlemann, A., Kovalev, S., & Malyutin, S. (2015). Workforce minimization for a mixed-model assembly line in the automotive industry. International Journal of Production Economics, 170, 489-500.
Battaïa, O., & Dolgui, A. (2013). A taxonomy of line balancing problems and their solution approaches. International journal of production economics, 142(2), 259-277.
Battaïa, O., & Dolgui, A. (2022). Hybridizations in line balancing problems: A comprehensive review on new trends and formulations. International Journal of Production Economics, 108673.
Boysen, N., Fliedner, M., & Scholl, A. (2007). A classification of assembly line balancing problems. European journal of operational research, 183(2), 674-693.
Boysen, N., Fliedner, M., & Scholl, A. (2008). Assembly line balancing: Which model to use when? International journal of production economics, 111(2), 509-528.
Boysen, N., Schulze, P., & Scholl, A. (2022). Assembly line balancing: What happened in the last fifteen years? European Journal of Operational Research, 301(3), 797-814.
Chen, J. C., Chen, Y. Y., Chen, T. L., & Kuo, Y. H. (2019). Applying two-phase adaptive genetic algorithm to solve multi-model assembly line balancing problems in TFT–LCD module process. Journal of Manufacturing Systems, 52, 86-99.
Chutima, P., & Chimklai, P. (2012). Multi-objective two-sided mixed-model assembly line balancing using particle swarm optimization with negative knowledge. Computers & Industrial Engineering, 62(1), 39-55.
Cohen, Y., Vitner, G., & Sarin, S. C. (2006). Optimal allocation of work in assembly lines for lots with homogenous learning. European Journal of Operational Research, 168(3), 922-931.
Delice, Y., Kızılkaya Aydoğan, E., Özcan, U., & İlkay, M. S. (2017). A modified particle swarm optimization algorithm to mixed-model two-sided assembly line balancing. Journal of Intelligent Manufacturing, 28, 23-36.
Delorme, X., Dolgui, A., Kovalev, S., & Kovalyov, M. Y. (2019). Minimizing the number of workers in a paced mixed-model assembly line. European Journal of Operational Research, 272(1), 188-194.
Dolgui, A., Kovalev, S., Kovalyov, M. Y., Malyutin, S., & Soukhal, A. (2018). Optimal workforce assignment to operations of a paced assembly line. European Journal of Operational Research, 264(1), 200-211.
Glock, C. H., Grosse, E. H., Jaber, M. Y., & Smunt, T. L. (2019). Applications of learning curves in production and operations management: A systematic literature review. Computers & Industrial Engineering, 131, 422-441.
Gökçen, H., Ağpak, K., & Benzer, R. (2006). Balancing of parallel assembly lines. International Journal of Production Economics, 103(2), 600-609.
Gökċen, H., & Erel, E. (1998). Binary integer formulation for mixed-model assembly line balancing problem. Computers & industrial engineering, 34(2), 451-461.
Hazır, Ö., Delorme, X., & Dolgui, A. (2015). A review of cost and profit oriented line design and balancing problems and solution approaches. Annual Reviews in Control, 40, 14-24.
Koltai, T., & Kalló, N. (2017). Analysis of the effect of learning on the throughput-time in simple assembly lines. Computers & industrial engineering, 111, 507-515.
Li, Y. (2017). The type-II assembly line rebalancing problem considering stochastic task learning. International Journal of Production Research, 55(24), 7334-7355.
Li, Y., & Boucher, T. O. (2017). Assembly line balancing problem with task learning and dynamic task reassignment. The International Journal of Advanced Manufacturing Technology, 88, 3089-3097.
Otto, C., & Otto, A. (2014). Extending assembly line balancing problem by incorporating learning effects. International Journal of Production Research, 52(24), 7193-7208.
Salveson, M. E. (1955). The assembly-line balancing problem. Transactions of the American Society of Mechanical Engineers, 77(6), 939-947.
Scholl, A., & Scholl, A. (1999). Balancing and sequencing of assembly lines (pp. 34-351). Heidelberg: Physica-Verlag.
Sternatz, J. (2014). Enhanced multi-Hoffmann heuristic for efficiently solving real-world assembly line balancing problems in automotive industry. European Journal of Operational Research, 235(3), 740-754.
Sun, H., & Fan, S. (2018). Car sequencing for mixed-model assembly lines with consideration of changeover complexity. Journal of manufacturing systems, 46, 93-102.
Thomopoulos, N. T. (1970). Mixed model line balancing with smoothed station assignments. Management science, 16(9), 593-603.
Tiacci, L., & Mimmi, M. (2018). Integrating ergonomic risks evaluation through OCRA index and balancing/sequencing decisions for mixed model stochastic asynchronous assembly lines. Omega, 78, 112-138.
Toksarı, M. D., İşleyen, S. K., Güner, E., & Baykoç, Ö. F. (2008). Simple and U-type assembly line balancing problems with a learning effect. Applied Mathematical Modelling, 32(12), 2954-2961.
Vilarinho, P. M., & Simaria, A. S. (2002). A two-stage heuristic method for balancing mixed-model assembly lines with parallel workstations. International journal of production research, 40(6), 1405-1420.
Wee, T. S., & Magazine, M. J. (1982). Assembly line balancing as generalized bin packing. Operations Research Letters, 1(2), 56-58.
Wright, T. P. (1936). Factors affecting the cost of airplanes. Journal of the aeronautical sciences, 3(4), 122-128.
Yelle, L.E., 1979. The learning curve: Historical review and comprehensive survey. Decision sciences 10, 302–328.
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.
Battaïa, O., Delorme, X., Dolgui, A., Hagemann, J., Horlemann, A., Kovalev, S., & Malyutin, S. (2015). Workforce minimization for a mixed-model assembly line in the automotive industry. International Journal of Production Economics, 170, 489-500.
Battaïa, O., & Dolgui, A. (2013). A taxonomy of line balancing problems and their solution approaches. International journal of production economics, 142(2), 259-277.
Battaïa, O., & Dolgui, A. (2022). Hybridizations in line balancing problems: A comprehensive review on new trends and formulations. International Journal of Production Economics, 108673.
Boysen, N., Fliedner, M., & Scholl, A. (2007). A classification of assembly line balancing problems. European journal of operational research, 183(2), 674-693.
Boysen, N., Fliedner, M., & Scholl, A. (2008). Assembly line balancing: Which model to use when? International journal of production economics, 111(2), 509-528.
Boysen, N., Schulze, P., & Scholl, A. (2022). Assembly line balancing: What happened in the last fifteen years? European Journal of Operational Research, 301(3), 797-814.
Chen, J. C., Chen, Y. Y., Chen, T. L., & Kuo, Y. H. (2019). Applying two-phase adaptive genetic algorithm to solve multi-model assembly line balancing problems in TFT–LCD module process. Journal of Manufacturing Systems, 52, 86-99.
Chutima, P., & Chimklai, P. (2012). Multi-objective two-sided mixed-model assembly line balancing using particle swarm optimization with negative knowledge. Computers & Industrial Engineering, 62(1), 39-55.
Cohen, Y., Vitner, G., & Sarin, S. C. (2006). Optimal allocation of work in assembly lines for lots with homogenous learning. European Journal of Operational Research, 168(3), 922-931.
Delice, Y., Kızılkaya Aydoğan, E., Özcan, U., & İlkay, M. S. (2017). A modified particle swarm optimization algorithm to mixed-model two-sided assembly line balancing. Journal of Intelligent Manufacturing, 28, 23-36.
Delorme, X., Dolgui, A., Kovalev, S., & Kovalyov, M. Y. (2019). Minimizing the number of workers in a paced mixed-model assembly line. European Journal of Operational Research, 272(1), 188-194.
Dolgui, A., Kovalev, S., Kovalyov, M. Y., Malyutin, S., & Soukhal, A. (2018). Optimal workforce assignment to operations of a paced assembly line. European Journal of Operational Research, 264(1), 200-211.
Glock, C. H., Grosse, E. H., Jaber, M. Y., & Smunt, T. L. (2019). Applications of learning curves in production and operations management: A systematic literature review. Computers & Industrial Engineering, 131, 422-441.
Gökçen, H., Ağpak, K., & Benzer, R. (2006). Balancing of parallel assembly lines. International Journal of Production Economics, 103(2), 600-609.
Gökċen, H., & Erel, E. (1998). Binary integer formulation for mixed-model assembly line balancing problem. Computers & industrial engineering, 34(2), 451-461.
Hazır, Ö., Delorme, X., & Dolgui, A. (2015). A review of cost and profit oriented line design and balancing problems and solution approaches. Annual Reviews in Control, 40, 14-24.
Koltai, T., & Kalló, N. (2017). Analysis of the effect of learning on the throughput-time in simple assembly lines. Computers & industrial engineering, 111, 507-515.
Li, Y. (2017). The type-II assembly line rebalancing problem considering stochastic task learning. International Journal of Production Research, 55(24), 7334-7355.
Li, Y., & Boucher, T. O. (2017). Assembly line balancing problem with task learning and dynamic task reassignment. The International Journal of Advanced Manufacturing Technology, 88, 3089-3097.
Otto, C., & Otto, A. (2014). Extending assembly line balancing problem by incorporating learning effects. International Journal of Production Research, 52(24), 7193-7208.
Salveson, M. E. (1955). The assembly-line balancing problem. Transactions of the American Society of Mechanical Engineers, 77(6), 939-947.
Scholl, A., & Scholl, A. (1999). Balancing and sequencing of assembly lines (pp. 34-351). Heidelberg: Physica-Verlag.
Sternatz, J. (2014). Enhanced multi-Hoffmann heuristic for efficiently solving real-world assembly line balancing problems in automotive industry. European Journal of Operational Research, 235(3), 740-754.
Sun, H., & Fan, S. (2018). Car sequencing for mixed-model assembly lines with consideration of changeover complexity. Journal of manufacturing systems, 46, 93-102.
Thomopoulos, N. T. (1970). Mixed model line balancing with smoothed station assignments. Management science, 16(9), 593-603.
Tiacci, L., & Mimmi, M. (2018). Integrating ergonomic risks evaluation through OCRA index and balancing/sequencing decisions for mixed model stochastic asynchronous assembly lines. Omega, 78, 112-138.
Toksarı, M. D., İşleyen, S. K., Güner, E., & Baykoç, Ö. F. (2008). Simple and U-type assembly line balancing problems with a learning effect. Applied Mathematical Modelling, 32(12), 2954-2961.
Vilarinho, P. M., & Simaria, A. S. (2002). A two-stage heuristic method for balancing mixed-model assembly lines with parallel workstations. International journal of production research, 40(6), 1405-1420.
Wee, T. S., & Magazine, M. J. (1982). Assembly line balancing as generalized bin packing. Operations Research Letters, 1(2), 56-58.
Wright, T. P. (1936). Factors affecting the cost of airplanes. Journal of the aeronautical sciences, 3(4), 122-128.
Yelle, L.E., 1979. The learning curve: Historical review and comprehensive survey. Decision sciences 10, 302–328.
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.