Alavidoost, M.T., Tarimoradi, M., Fazel, M.H. (2015). Fuzzy Adaptive Genetic Algorithm for Multi-Objective Assembly Line Balancing Problems, Applied Soft Computing Journal, 34: 655–677. DOI:
10.1016/j.asoc.2015.06.001
ARCUS, L.A. (1966). COMSOAL: A computer method of sequencing operations for assembly lines, International Journal of Production Research, 4: 25-32. DOI:
10.1108/IJCST-01-2016-0002
Asadi Gongej, I., Nahavandi, N. (2015). Development of the Lagrangian Liberation Method for Solving the Scheduling Problem in a Flexible Workshop Environment. Journal of Industrial Engineering Researches and Manufacturing Systems. 6:121-131. (in persian) DOI:
10.1007/978-3-319-04705-8_17
Avikal, S., Jain, R., Mishra, P.K., Yadav, H.C. (2013). A heuristic approach for U-shaped assembly line balancing to improve labor productivity, Computers & Industrial Engineering, 64: 895-901. DOI:
10.1016/j.cie.2013.01.001
Babinski, S., Dockum, R., Craft, J., Fergus, A., Goldenberg, D., & Bowern, C. (2019). A Robin Hood approach to forced alignment: English-trained algorithms and their use on Australian languages. Proceedings of the Linguistic Society of America, 4 (1), 3:1-12. Doi:
10.3765/plsa.v4i1.4468
Bard, J.F. (1989). Assembly line balancing with parallel workstations and dead time, International Journal of Production Research, 27:1005–1018. DOI:
10.1080/00207548908942604
Baybars, L. (1986). A survey of exact algorithms for the simple assembly line balancing problem.Manag Sci, 32: 909–932. Doi:
10.3934/naco.2023003
Baykasoǧlu, A. (2006). Multi-rule multi-objective simulated annealing algorithm for straight and U type assembly line balancing problems, Journal of Intelligent Manufacturing, 17: 217-232. DOI:
10.1007/s10845-005-6638-y
Becker, C., Scholl, A. (2006). A survey on problems and methods in generalized assembly line balancing, European Journal of Operational Research, 168: 694-715. DOI:
10.1016/j.ejor.2004.07.023
Beheshti Nia, M.A., Akbari, J. (2105). Timing of the three-stage supply chain with a focus on the integrity of its stages. Journal of Industrial Engineering Research and Manufacturing Systems.6: 191-205. (in Persian) DOI:
10.2507/IJSIMM11(4)3.212
Behnamian, J. (2015). Multipurpose scheduling of multi-factory production networks using sub-genotype algorithm and reactionary method. Journal of Industrial Engineering Researches and Manufacturing Systems. 6: 133-147. (in Persian) DOI:
10.1080/00207543.2020.1797207
Boysen, N., Fliedner, M., Scholl, A. (2008). Assembly line balancing: which model to use when? International Journal of Production Economics, 111: 509–528. DOI:
10.1016/j.ijpe.2007.02.026
Boysen, N., Fliedner, M., Scholl, A.A. (2007). Classification of assembly line balancing problems, European Journal of Operational Research, 183: 674– 693. DOI:
10.1016/j.ejor.2006.10.010
Caramia, M., Dell’Olmo, P., Italiano, G.F. (2001). New Algorithms for Examination Timetabling, Lecture Notes in Computer Science, 32: 230–242. DOI:
10.1007/s10479-010-0782-2
Caramia, M., Dell’Olmo, P., Onori, R., 2004, Minimum Makespan Task Sequencing with Multiple Shared Resources, Robotics and Computer Integrated Manufacturing, 20: 234-251. DOI:
10.1016/j.rcim.2003.10.003
Caramia.M, Dell’Olmo.P.2006.Effective Resource Management in Manufacturing Systems Optimization Algorithms for Production Planning, Springer series in advanced manufacturing, 38: 332-342. DOI:
10.1007/1-84628-227-6
Dar-E, lE. (1973). MALB—a heuristic technique for balancing large single-model assembly lines, AIIE Transactions, 5: 343-356. Doi:
10.22094/joie.2020.560265.1542
Dar-E, lE.M. Rubinovitch, Y. (1979). Must—A Multiple Solutions Technique for Balancing Single Model Assembly Lines, Management Science, 25: 1105-1114.
doi:10.1016/0272-6963(85)90025-7
Deng, J., Wang, L., Shen, J., Zheng, X. (2015).An Improved Harmony Search Algorithm for the Distributed Two Machine Flow-Shop Scheduling Problem, Springer Berlin Heidelberg Publish. DOI:
10.1007/978-3-662-47926-1_11
Falkenauer, E., Delchambre, A. (1992). A genetic algorithm for bin packing and line balancing, Proceedings, IEEE International Conference on Robotics and Automation, 2: 1186-1192.
DOI: 10.1109/ROBOT.1992.220088
Florios, K. (2018). A hyperplanes intersection simulated annealing algorithm for maximum score estimation. Econometrics and Statistics. 8: 37-55.
doi:10.1016/j.ecosta.2017.03.005
Gutjahr, A.L., Nemhauser, G.L. (1964). An algorithm for the line balancing problem, Management Science, 11: 308-315. Doi:
10.1287/mnsc.11.2.308
Harsanyi, J.C. (1955). Cardinal welfare, individualistic ethics, and interpersonal comparisons of utility, Journal of Political Economy, 63:309–321.
doi: 10.1086/257678
Hwang, R.K., Katayama, H., Gen, M. (2008). U-shaped assembly line balancing problem with genetic algorithm, International Journal of Production Research, 46: 4637-4649. DOI:
10.1080/00207540701247906
Kucukkoc, I., Zhang, D, (2014). Mathematical model and agent based solution approach for the simultaneous balancing and sequencing of mixed-model parallel two-sided assembly lines, Int. J. Production Economics, 158: 314–333. DOI: 10.1016/j.ijpe.2014.08.010
Lapierre, S.D., Ruiz, A., Soriano, P. (2006). Balancing assembly lines with tabu search, European Journal of Operational Research, 168: 826-837. DOI:
10.1016/j.ejor.2004.07.031
Levi, D.S., Kaminsky, P., Levi, E.S. (2003). Designing and managing the supply chain: Concepts, strategies, and case studies, McGraw-Hill. DOI:
10.1002/j.2158-1592.2001.tb00165.x
Marco, C., Eugenio G., Lisa R., Secchi, A. (2018). A “reverse Robin Hood”? The distributional implications of non-standard monetary policy for Italian households. Journal of International Money and Finance. 85: 215-235. DOI:
10.2760/331492
Paksoy, T., Özceylan, E., Gökçen, H. (2012). Supply chain optimisation with assembly line balancing, International Journal of Production Research, 50: 3115-3136. DOI:
10.1080/00207543.2011.593052
Palmer, D.S. (1965). Sequencing Jobs through a Multi-Stage Process in the Minimum Total Time- a Quick Method of Obtaining an ear Optimum, Operational Research Quarterly, 16: 101-107. DOI:
10.1080/00207543.2011.593052
Peterson, C. (1993). A tabu search procedure for the simple assembly line balancing problem, in the proceedings of the decision science institute conference, 1502-1504. DOI:
10.1515/mper-2015-0008
Sabuncuoglu, I., Erel, E., Alp, A. (2009). Ant colony optimization for the single model U-type assembly line balancing problem, International Journal of Production Economics, 120: 287-300. DOI:
10.1016/j.ijpe.2008.11.017
Salveson, M.E. (1955). The assembly line balancing problem' Journal of Industrial Engineering, 6: 18-25. DOI:
10.4236/ajibm.2016.65063
Scholl, A., Klein, R., Domschke, W. (1998). Pattern based vocabulary building for effectively sequencing mixed model assembly lines. Journal of Heuristics, 4: 359–381. Doi:
10.1023/A:1009613925523
Suman, B., Kumar, P. (2006). A survey of simulated annealing as a tool for single and multiobjective optimization, Journal of the Operational Research Society, 57: 1143-1160. DOI:
10.1057/palgrave.jors.2602068
Yano, C.A., Bolat, A. (1989). Survey, development, and application of algorithms for sequencing paced assembly. DOI:
10.4236/jsip.2014.53009
Zhang, W., Maleki, A, Marc AR, Liu, J. (2018). Optimization with a simulated annealing algorithm of a hybrid system for renewable energy including battery and hydrogen storage. Energy.163: 191-207. DOI:
10.1016/j.energy.2018.08.112
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