ارائه یک مدل برنامه ریزی چندهدفه برای بالانس خط تولید U-شکل با درنظر گرفتن تخصیص ابزار و سطح کیفی انجام وظایف

 

Ajenblit, D. A., & Wainwright, R. L. (1998, May). “Applying genetic algorithms to the U-shaped assembly line balancing problem”, In 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No. 98TH8360) (pp. 96-101). IEEE.

Alavidoost, M. H., Zarandi, M. F., Tarimoradi, M., & Nemati, Y. (2017). “Modified genetic algorithm for simple straight and U-shaped assembly line balancing with fuzzy processing times”, Journal of intelligent manufacturing, 28(2), 313-336.

Aydoğan, B. İ., Ceyhan, K., Şahin, M., & Çorapçıoğlu, D. (2019). “Are thyroid nodules with spongiform morphology always benign?” Cytopathology, 30(1), 46-50.

Baykasoglu, A. (2006). “Multi-rule multi-objective simulated annealing algorithm for straight and U type assembly line balancing problems”, Journal of Intelligent Manufacturing, 17(2), 217-232.

Bowman, E. H. (1960). “Assembly-line balancing by linear programming” Operations Research, 8(3), 385-389.

Campana, N. P., Iori, M., & Moreira, M. C. O. (2021). Mathematical models and heuristic methods for the assembly line balancing problem with hierarchical worker assignment. International Journal of Production Research, 1-19.

Chang, C. T., & Chang, C. C. (2000). “A linearization method for mixed 0–1 polynomial programs”, Computers & Operations Research, 27(10), 1005-1016.

Charnes, A., & Cooper, W. W. (1962). “Programming with linear fractional functionals”, Naval Research logistics quarterly, 9(3‐4), 181-186.

Corominas, A., García-Villoria, A., & Pastor Moreno, R. (2016). Improving the resolution of the simple assembly line balancing problem type E. SORT, 1, 227-242.

Costa, N. R., & Pereira, Z. L. (2010). “Multiple response optimization: a global criterion‐based method”, Journal of chemometrics, 24(6), 333-342.

Deckro, R. F., & Rangachari, S. (1990). “A goal approach to assembly line balancing”, Computers & operations research, 17(5), 509-521.

Delice, Y., Aydoğan, E. K., Özcan, U., & İlkay, M. S. (2017). Balancing two-sided U-type assembly lines using modified particle swarm optimization algorithm. 4or, 15(1), 37-66.

Delice, Y., Kızılkaya Aydoğan, E., & Özcan, U. (2016). Stochastic two-sided U-type assembly line balancing: a genetic algorithm approach. International Journal of Production Research, 54(11), 3429-3451.

Dong, J., Zhang, L., & Xiao, T. (2018). A hybrid PSO/SA algorithm for bi-criteria stochastic line balancing with flexible task times and zoning constraints. Journal of Intelligent Manufacturing, 29(4), 737-751.

Eghtesadifard, M., Khalifeh, M., & Khorram, M. (2020). A systematic review of research themes and hot topics in assembly line balancing through the web of science within 1990–2017. Computers & Industrial Engineering, 139, 106182.

Fang, Y., Ming, H., Li, M., Liu, Q., & Pham, D. T. (2020). Multi-objective evolutionary simulated annealing optimisation for mixed-model multi-robotic disassembly line balancing with interval processing time. International Journal of Production Research, 58(3), 846-862.

Fathi, M., Á lvarez, M. J., & Rodríguez, V. (2016). “A new heuristic-based bi-objective simulated annealing method for U-shaped assembly line balancing”, European Journal of Industrial Engineering, 10(2), 145-169.

Fathi, M., Nourmohammadi, A., Ng, A. H., Syberfeldt, A., & Eskandari, H. (2019). An improved genetic algorithm with variable neighborhood search to solve the assembly line balancing problem. Engineering Computations.

Fattahi, P., Roshani, A., & Roshani, A. (2011). “A mathematical model and ant colony algorithm for multi-manned assembly line balancing problem”, International Journal of Advanced Manufacturing Technology, 53(1-4), 363-378.

Glover, F., & Woolsey, E. (1974). “Converting the 0-1 polynomial programming problem to a 0-1 linear program”, Operations research, 22(1), 180-182.

Gökçen, H., & Agˇpak, K. (2006). “A goal programming approach to simple U-line balancing problem”, European Journal of Operational Research, 171(2), 577-585.

Gökçen, H., Ağpak, K., & Benzer, R. (2006). “Balancing of parallel assembly lines”, International Journal of Production Economics, 103(2), 600-609.

Kalayci, C. B., Polat, O., & Gupta, S. M. (2016). A hybrid genetic algorithm for sequence-dependent disassembly line balancing problem. Annals of Operations Research, 242(2), 321-354.

Kellegöz, T. (2017). Assembly line balancing problems with multi-manned stations: a new mathematical formulation and Gantt based heuristic method. Annals of Operations Research, 253(1), 377.

Khorram, M., Eghtesadifard, M., & Niroomand, S. (2021). Hybrid meta-heuristic algorithms for U-shaped assembly line balancing problem with equipment and worker allocations. Soft Computing, 1-18.

Kirkpatrick, S., Gelatt, C. D., & Vecchi, M. P. (1983). “Optimization by simulated annealing”, Science, 220(4598), 671-680.

Kucukkoc, I., & Zhang, D. Z. (2015). “Type-E parallel two-sided assembly line balancing problem: Mathematical model and ant colony optimisation based approach with optimised parameters”, Computers & Industrial Engineering, 84, 56-69.

Kucukkoc, I., & Zhang, D. Z. (2017). Balancing of mixed-model parallel U-shaped assembly lines considering model sequences. International Journal of Production Research, 55(20), 5958-5975.

Li, Z., Janardhanan, M. N., Ashour, A. S., & Dey, N. (2019). Mathematical models and migrating birds optimization for robotic U-shaped assembly line balancing problem. Neural Computing and Applications, 31(12), 9095-9111.

Li, Z., Kucukkoc, I., & Tang, Q. (2017). “New MILP model and station-oriented ant colony optimization algorithm for balancing U-type assembly lines”, Computers & Industrial Engineering, 112, 107-121.

Li, Z., Kucukkoc, I., & Zhang, Z. (2018). Branch, bound and remember algorithm for U-shaped assembly line balancing problem. Computers & Industrial Engineering, 124, 24-35.

Li, Z., Kucukkoc, I., & Zhang, Z. (2020). Branch, bound and remember algorithm for two-sided assembly line balancing problem. European Journal of Operational Research, 284(3), 896-905.

Make, M. R. A., Rashid, M. F. F. A., & Razali, M. M. (2017). “A review of two-sided assembly line balancing problem”, International Journal of Advanced Manufacturing Technology, 89(5-8), 1743-1763.

Manavizadeh, N., Hosseini, N. S., Rabbani, M., & Jolai, F. (2013). “A Simulated Annealing algorithm for a mixed model assembly U-line balancing type-I problem considering human efficiency and Just-In-Time approach”, Computers & Industrial Engineering, 64(2), 669-685.

McMullen, P. R., & Frazier, G. V. (1998). “Using simulated annealing to solve a multiobjective assembly line balancing problem with parallel workstations”, International Journal of Production Research, 36(10), 2717-2741.

Miltenburg, G. J., & Wijngaard, J. (1994). “The U-line line balancing problem”, Management science, 40(10), 1378-1388.

Mukund Nilakantan, J., & Ponnambalam, S. G. (2016). Robotic U-shaped assembly line balancing using particle swarm optimization. Engineering Optimization, 48(2), 231-252.

Norouzi, N., Tavakkoli-Moghaddam, R., Ghazanfari, M., Alinaghian, M., & Salamatbakhsh, A. (2012). A new multi-objective competitive open vehicle routing problem solved by particle swarm optimization. Networks and Spatial Economics, 12(4), 609-633.

Ogan, D., & Azizoglu, M. (2015). “A branch and bound method for the line balancing problem in U-shaped assembly lines with equipment requirements”, Journal of Manufacturing Systems, 36, 46-54.

Ogan, D., & Azizoglu, M. (2015). A branch and bound method for the line balancing problem in U-shaped assembly lines with equipment requirements. Journal of Manufacturing Systems, 36, 46-54.

Özcan, U., & Toklu, B. (2009). “Balancing of mixed-model two-sided assembly lines”, Computers & Industrial Engineering, 57(1), 217-227.

Patterson, J. H., & Albracht, J. J. (1975). “Assembly-line balancing: zero-one programming with Fibonacci search”, Operations Research, 23(1), 166-172.

Pereira, J., & Álvarez-Miranda, E. (2018). “An exact approach for the robust assembly line balancing problem”, Omega, 78, 85-98.

Pınarbaşı, M. (2021). New chance-constrained models for U-type stochastic assembly line balancing problem. Soft Computing, 1-15.

Pitakaso, R., & Sethanan, K. (2016). Modified differential evolution algorithm for simple assembly line balancing with a limit on the number of machine types. Engineering Optimization, 48(2), 253-271.

Proos, K. A., Steven, G. P., Querin, O. M., & Xie, Y. M. (2001). “Multicriterion evolutionary structural optimization using the weighting and the global criterion methods”, AIAA journal, 39(10), 2006-2012.

Rashid, M. F. F., Hutabarat, W., & Tiwari, A. (2012). “A review on assembly sequence planning and assembly line balancing optimisation using soft computing approaches”, International Journal of Advanced Manufacturing Technology, 59(1-4), 335-349.

Roshani, A., & Giglio, D. (2017). Simulated annealing algorithms for the multi-manned assembly line balancing problem: minimising cycle time. International Journal of Production Research, 55(10), 2731-2751.

Saif, U., Guan, Z., Wang, B., Mirza, J., & Huang, S. (2014). “A survey on assembly lines and its types”, Frontiers of Mechanical Engineering, 9(2), 95-105.

Scholl, A. (1995). Data of assembly line balancing problems. Techn. Hochsch., Inst. für Betriebswirtschaftslehre.

Sivasankaran, P., & Shahabudeen, P. (2014). “Literature review of assembly line balancing problems”, International Journal of Advanced Manufacturing Technology, 73(9-12), 1665-1694.

Sparling, D., & Miltenburg, J. (1998). “The mixed-model U-line balancing problem”, International Journal of Production Research, 36(2), 485-501.

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(10), 1143-1160.

Suresh, G., & Sahu, S. (1994). “Stochastic assembly line balancing using simulated annealing”, International Journal of Production Research, 32(8), 1801-1810.

Talbi, E. G. (2009). “Metaheuristics: from design to implementation” (Vol. 74). John Wiley & Sons.

Torabi, S. M. (1993). Theoretical Analysis of the Alignment of the Assembly Line with the Aim of Comparing and Presenting an Optimal Balancing Algorithm in the Engine Assembly Unit of the Iran Khodro Factory. Master Thesis, Tehran: Tarbiat Modarres University, (In Persian)

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.

Wang, K., Li, X., Gao, L., Li, P., & Gupta, S. M. (2021). A genetic simulated annealing algorithm for parallel partial disassembly line balancing problem. Applied Soft Computing, 107, 107404.

Zhang, H., Yan, Q., Liu, Y., & Jiang, Z. (2016). An integer-coded differential evolution algorithm for simple assembly line balancing problem of type 2. Assembly Automation.

Zhang, Z., Tang, Q., & Zhang, L. (2019). Mathematical model and grey wolf optimization for low-carbon and low-noise U-shaped robotic assembly line balancing problem. Journal of Cleaner Production, 215, 744-756.

Zhang, Z., Tang, Q., Han, D., & Li, Z. (2019). Enhanced migrating birds optimization algorithm for U-shaped assembly line balancing problems with workers assignment. Neural Computing and Applications, 31(11), 7501-7515.

Zhang, Z., Tang, Q., Li, Z., & Zhang, L. (2019). Modelling and optimisation of energy-efficient U-shaped robotic assembly line balancing problems. International Journal of Production Research, 57(17), 5520-5537.

Zhang, Z., Tang, Q., Ruiz, R., & Zhang, L. (2020). Ergonomic risk and cycle time minimization for the U-shaped worker assignment assembly line balancing problem: A multi-objective approach. Computers & Operations Research, 118, 104905.

Zhong, Y. G., & Ai, B. (2017). A modified ant colony optimization algorithm for multi-objective assembly line balancing. Soft Computing, 21(22), 6881-6894.‌

 

‌‌