References
- Altemeier, S., M. Helmdach, A. Koberstein, and W. Dangelmaier. 2010. “Reconfiguration of Assembly Lines under the Influence of High Product Variety in the Automotive Industry – A Decision Support System.” International Journal of Production Research 48 (21): 6235–6256.10.1080/00207540903252290
- Angerer, S., R. Pooley, and R. Aylett. 2010. “Self-reconfiguration of Industrial Mobile Robots.” Proceeding of Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, Budapest, Hungary, 64–73.10.1109/SASO.2010.43
- Babiceanu, R., and F. Chen. 2006. “Development and Applications of Holonic Manufacturing Systems: A Survey.” Journal of Intelligent Manufacturing 17(1): 111–131.10.1007/s10845-005-5516-y
- Battaïa, O., and A. Dolgui. 2013. “A Taxonomy of Line Balancing Problems and Their Solution Approaches.” International Journal of Production Economics 142 (2): 259–277.10.1016/j.ijpe.2012.10.020
- Bryton, B. 1954. “Balancing of a Continuous Production Line.” M.S. Thesis, Northwestern University, Evanston, IL.
- Cohen, Y., G. Vitner, and S. C. Sarin. 2006. “Optimal Allocation of Work in Assembly Lines for Lots with Homogenous Learning.” European Journal of Operational Research 168 (3): 922–931.10.1016/j.ejor.2004.07.037
- Cohen, Y., G. Vitner, and S. Sarin. 2008. “Work Allocation to Stations with Varying Learning Slopes and without Buffers.” European Journal of Operational Research 184 (2): 797–801.10.1016/j.ejor.2006.11.021
- Dar-El, E. M., and Y. Rubinovitch. 1979. “Must – A Multiple Solutions Technique for Balancing Single Model Assembly Lines.” Management Science 25: 1105–1114.10.1287/mnsc.25.11.1105
- Digiesi, S., A. A. A. Kock, G. Mummolo, and J. E. Rooda. 2009. “The Effect of Dynamic Worker Behavior on Flow Line Performance.” International Journal of Production Economics 120 (2): 368–377.10.1016/j.ijpe.2008.12.012
- Fonseca, D. J., C. L. Guest, M. Elam, and C. L. Karr. 2005. “A Fuzzy Logic Approach to Assembly Line Balancing.” Mathware & Soft Computing 12 (1): 57–74.
- Gamberini, R., A. Grassi, and B. Rimini. 2006. “A New Multi-objective Heuristic Algorithm for Solving the Stochastic Assembly Line Re-balancing Problem.” International Journal of Production Economics 102 (2): 226–243.10.1016/j.ijpe.2005.02.013
- Gamberini, R., E. Gebennini, A. Grassi, and A. Regattieri. 2009. “A Multiple Single-pass Heuristic Algorithm Solving the Stochastic Assembly Line Rebalancing Problem.” International Journal of Production Research 47 (8): 2141–2164.10.1080/00207540802176046
- Grangeon, N., P. Leclaire, and S. Norre. 2011. “Heuristics for the Re-balancing of a Vehicle Assembly Line.” International Journal of Production Research 49 (22): 6609–6628.10.1080/00207543.2010.539025
- Gurevsky, E., O. Battaïa, and A. Dolgui. 2012. “Balancing of Simple Assembly Lines under Variations of Task Processing times.” Annals of Operations Research 201 (1): 265–286.10.1007/s10479-012-1203-5
- Hackman, S. T., M. J. Magazine, and T. S. Wee. 1989. “Fast, Effective Algorithms for Simple Assembly Line Balancing Problems.” Operations Research 37: 916–924.10.1287/opre.37.6.916
- Klein, R., and A. Scholl. 1996. “Maximizing the Production Rate in Simple Assembly Line Balancing – A Branch and Bound Procedure.” European Journal of Operational Research 91: 367–385.10.1016/0377-2217(95)00047-X
- Lai, T. C., Y. N. Sotskov, A. Dolgui, and A. Zatsiupa. 2016. “Stability Radii of Optimal Assembly Line Balances with a Fixed Workstation Set.” International Journal of Production Economics 182: 356–371.10.1016/j.ijpe.2016.07.016
- Li, Y., and T. O. Boucher. 2016. “Assembly Line Balancing Problem with Task Learning and Dynamic Task Reassignment.” The International Journal of Advanced Manufacturing Technology 1–9.
- Morrison, D. R., E. C. Sewell, and S. H. Jacobson. 2014. “An Application of the Branch, Bound, and Remember Algorithm to a New Simple Assembly Line Balancing Dataset.” European Journal of Operational Research 236 (2): 403–409.10.1016/j.ejor.2013.11.033
- Onori, M., J. Barata, and R. Frei. 2006. “Evolvable Assembly Systems: Basic Principles.” Information Technology for Balanced Manufacturing Systems, International Federation for Information Processing 220: 317–328.
- Otto, C., and A. Otto. 2014. “Extending Assembly Line Balancing Problem by Incorporating Learning Effects.” International Journal of Production Research 52 (24): 7193–7208.10.1080/00207543.2014.910618
- Salveson, M. E. 1955. “The Assembly Line Balancing Problem.” Journal of Industrial Engineering 6 (3): 18–25.
- Scholl, A. 1993. “Data of Assembly Line Balancing Problem.” https://alb.mansci.de/index.php?content=classview&content=classview&content2=classview&content3=classviewdlfree&content4=classview&classID=44&type=dl.
- Scholl, A., and C. Becker. 2006. “State-of-the-art Exact and Heuristic Solution Procedures for Simple Assembly Line Balancing.” European Journal of Operational Research 168 (3): 666–693.10.1016/j.ejor.2004.07.022
- Sewell, E. C., and S. H. Jacobson. 2012. “A Branch, Bound, and Remember Algorithm for the Simple Assembly Line Balancing Problem.” INFORMS Journal on Computing 24 (3): 433–442.10.1287/ijoc.1110.0462
- Sotskov, Y. N., A. Dolgui, T. C. Lai, and A. Zatsiupa. 2015. “Enumerations and Stability Analysis of Feasible and Optimal Line Balances for Simple Assembly Lines.” Computers & Industrial Engineering 90: 241–258.10.1016/j.cie.2015.08.018
- Toksarı, M. D., S. K. İşleyen, E. Güner, and Ö. F. Baykoç. 2008. “Simple and U-type Assembly Line Balancing Problems with a Learning Effect.” Applied Mathematical Modelling 32 (12): 2954–2961.10.1016/j.apm.2007.10.007
- Ueda, K. 2007. “Emergent Synthesis Approaches to Biological Manufacturing Systems.” In Digital Enterprise Technology, edited by Ueda, Kanji, 25–34. Bath: Springer.
- Zacharia, P. T., and A. C. Nearchou. 2012. “Multi-objective Fuzzy Assembly Line Balancing Using Genetic Algorithms.” Journal of Intelligent Manufacturing 23 (3): 615–627.10.1007/s10845-010-0400-9
- Zhong, R. Y., Q. Y. Dai, T. Qu, G. J. Hu, and G. Q. Huang. 2013. “RFID-enabled Real-time Manufacturing Execution System for Mass-customization Production.” Robotics and Computer-integrated Manufacturing 29 (2): 283–292.10.1016/j.rcim.2012.08.001