Abstract
This chapter deals with the use of multi-objective approaches in the field of assembly line design. The design of assembly or transfer lines is a very important industrial problem, which involves various difficult and interconnected optimization problems. A review of the main multi-objective optimization methods used for these problems is presented and discussed. A case study is also described in order to highlight some interesting properties associated with such multi-objective problems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Baykasoğlu A (2006) Multi-rule multi-objective simulated annealing algorithm for straight and U type assembly line balancing problems. J Intell Manuf 17(2):217–232
Bigras L, Gamache M, Savard G (2008) The time-dependent traveling salesman problem and single machine scheduling problems with sequence dependent setup times. Dis Opt 5(4):685–699
Borisovsky P, Delorme X, Dolgui A (2012) Genetic algorithm for balancing reconfigurable machining lines. Comput Ind Eng. doi:10.1016/j.cie.2012.12.009
Bukchin J, Masin M (2004) Multi-objective design of team oriented assembly systems. Eur J Oper Res 156(2):326–352
Cakir B, Altiparmak F, Dengiz B (2011) Multi-objective optimization of a stochastic assembly line balancing: a hybrid simulated annealing algorithm. Comput Ind Eng 60(3):376–384
Chen JH, Ho SY (2005) A novel approach to production planning of flexible manufacturing systems using an efficient multi-objective genetic algorithm. Int J Mach Tools Manuf 45(7–8):949–957
Cheshmehgaz H, Haron H, Kazemipour F, Desa M (2012) Accumulated risk of body postures in assembly line balancing problem and modeling through a multi-criteria fuzzy-genetic algorithm. Comput Ind Eng 63(2):503–512
Chica M, Cordón O, Damas S (2011a) An advanced multi-objective genetic algorithm design for the time and space assembly line balancing problem. Comput Ind Eng 61(1):103–117
Chica M, Cordón O, Damas S, Bautista J (2011b) Including different kinds of preferences in a multi-objective ant algorithm for time and space assembly line balancing on different Nissan scenarios. Exp Syst Appl 38(1):709–720
Chica M, Cordón O, Damas S, Bautista J (2012) Multi-objective memetic algorithms for time and space assembly line balancing. Eng Appl Artif Intell 25(2):254–273
Chica M, Cordón O, Damas S, Bautista J, Pereira J (2010) Multi-objective constructive heuristics for the 1/3 variant of the time and space assembly line balancing problem: ACO and random greedy search. Inf Sci 180(18):3465–3487
Chutima P, Chimklai P (2012) Multi-objective two-sided mixed-model assembly line balancing using particle swarm optimisation with negative knowledge. Comput Ind Eng 62(1):39–55
Chutima P, Olanviwatchai P (2010) Mixed-model U-shaped assembly line balancing problems with coincidence memetic algorithm. J Softw Eng Appl 3(4):347–363
Deckro R, Rangachari S (1990) A goal approach to assembly line balancing. Comput Oper Res 17(5):509–521
Delorme X, Dolgui A, Essafi M, Linxe L, Poyard D (2009) Machining lines automation. In: Nof DS (ed) Handbook of automation. Springer, New York, pp 599–617
Ding LP, Feng YX, Tan JR, Gao YC (2010) A new multi-objective ant colony algorithm for solving the disassembly line balancing problem. Int J Adv Manuf Technol 48(5–8):761–771
Duta L, Filip F, Henrioud JM (2003) A method for dealing with multi-objective optimization problem of disassembly processes. In: Proceedings of the 5th IEEE intemational symposium on assembly and task planning, Besançon, pp 163–168
Essafi M, Delorme X, Dolgui A (2012) A reactive GRASP and path relinking for balancing reconfigurable transfer lines. Int J Prod Res 50(18):5213–5238
Essafi M, Delorme X, Dolgui A, Guschinskaya O (2010) A MIP approach for balancing transfer line with complex industrial constraints. Comput Ind Eng 58(3):393–400
Fattahi P, Roshani A, Roshani A (2011) A mathematical model and ant colony algorithm for multi-manned assembly line balancing problem. Int J Adv Manuf Technol 53(1–4):363–378
Gamberini R, Grassi A, Rimini B (2006) A new multi-objective heuristic algorithm for solving the stochastic assembly line re-balancing problem. Int J Prod Econ 102(2):226–243
Gamberini R, Grassi E, Regattieri A (2009) A multiple single-pass heuristic algorithm solving the stochastic assembly line rebalancing problem. Int J Prod Res 47(8):2141–2164
Gökçen H, Ağpak K (2006) A goal programming approach to simple U-line balancing problem. Eur J Oper Res 171(2):577–585
Gökçen H, Erel E (1997) A goal programming approach to mixed-model assembly line balancing problem. Int J Prod Econ 48(2):177–185
Gupta S, McGovern S (2004) Multi-objective optimization in disassembly sequencing problems. In: Second world conference on POM and 15th annual POM conference, Cancun
Hamta N, Fatemi Ghomi S, Jolai F, Akbarpour Shirazi M (2013) A hybrid PSO algorithm for a multi-objective assembly line balancing problem with flexible operation times, sequence-dependent setup times and learning effect. Int J Prod Econ 141(1):99–111
Hamta N, Fatemi Ghomi S, Jolai F, Bahalke U (2011) Bi-criteria assembly line balancing by considering flexible operation times. Appl Math Model 35(12):5592–5608
Hwang R, Katayama H (2009) A multi-decision genetic approach for workload balancing of mixed-model U-shaped assembly line systems. Int J Prod Res 47(14):3797–3822
Hwang R, Katayama H (2010) Integrated procedure of balancing and sequencing for mixed-model assembly lines: a multi-objective evolutionary approach. Int J Prod Res 48(21):6417–6441
Hwang R, Katayama H, Gen M (2008) U-shaped assembly line balancing problem with genetic algorithm. Int J Prod Res 46(16):4637–4650
Kara Y, Ozcan U, Peker A (2007) Balancing and sequencing mixed-model just-in-time U-lines with multiple objectives. Appl Math Comp 184(2):566–588
Kara Y, Özgüven C, Seçme N, Chang C (2011) Multi-objective approaches to balance mixed-model assembly lines for model mixes having precedence conflicts and duplicable common tasks. Int J Adv Manuf Techn 52(5–8):725–737
Kim Y, Kim Y, Kim Y (1996) Genetic algorithms for assembly line balancing with various objectives. Comput Ind Eng 30(3):397–409
Koren Y, Heisel U, Jovane F, Moriwaki T, Pritschow G, Ulsoy G et al (1999) Reconfigurable manufacturing systems. CIRP Ann Manuf Technol 48(2):527–540
Leu YY, Matheson L, Rees L (1994) Assembly line balancing using genetic algorithms with heuristic-generated initial populations and multiple evaluation criteria. Dec Sci 25(4):581–606
Malakooti B (1991) A multiple criteria decision making approach for the assembly line balancing problem. Int J Prod Res 29(10):1979–2001
Malakooti B, Kumar A (1996) A knowledge-based system for solving multi-objective assembly line balancing problems. Int J Prod Res 34(9):2533–2552
McMullen P, Frazier G (1998) Using simulated annealing to solve a multi-objective assembly line balancing problem with parallel workstations. Int J Prod Res 36(10):2717–2741
McMullen P, Tarasewich P (2006) Multi-objective assembly line balancing via a modified ant colony optimization technique. Int J Prod Res 44(1):27–42
Nearchou AC (2008) Multi-objective balancing of assembly lines by population heuristics. Int J Prod Res 46(8):2275–2298
Nearchou A (2011) Maximizing production rate and workload smoothing in assembly lines using particle swarm optimization. Int J Prod Econ 129(2):242–250
Nof S, Wilhem W, Warnecke H (1997) Industrial assembly. Chapman Hall, London
Nourmohammadi A, Zandieh M (2011) Assembly line balancing by a new multi-objective differential evolution algorithm based on TOPSIS. Int J Prod Res 49(10):2833–2855
Özcan U, Toklu B (2009a) A tabu search algorithm for two-sided assembly line balancing. Int J Adv Manuf Techn 43(7):822–829
Özcan U, Toklu B (2009b) Balancing of mixed-model two-sided assembly lines. Comput Ind Eng 57(1):217–227
Özcan U, Toklu B (2010) Balancing two-sided assembly lines with sequence-dependent setup times. Int J Prod Res 48(18):5363–5383
Pastor R (2011) LB-ALBP: the lexicographic bottleneck assembly line balancing problem. Int J Prod Res 49(8):2424–2442
Pastor R, Andrés C, Duran A, Pérez M (2002) Tabu search algorithms for an industrial multi-product and multi-objective assembly line balancing problem, with reduction of the task dispersion. J Oper Res Soc 53(12):1317–1323
Pekin N, Azizoglu M (2008) Bi criteria flexible assembly line design problem with equipment decisions. Int J Prod Res 46(22):6323–6343
Ponnambalam S, Aravindan P, Mogileeswar Naidu G (2000) A multi-objective genetic algorithm for solving assembly line balancing problem. Int J Adv Manuf Technol 16:341–352
Purnomo H, Wee H, Rau H (2013) Two-sided assembly lines balancing with assignment restrictions. Math Comp Model 57(1–2):189–199
Rekiek B, De Lit P, Pellichero F, L’Eglise T, Fouda P, Falkenauer E et al (2001) A multiple objective grouping genetic algorithm for assembly line design. J Intell Manuf 12(5–6):467–485
Sawik T (1997) An interactive approach to bicriterion loading of a flexible assembly system. Math Comp Model 25(6):71–83
Sawik T (1998) A lexicographic approach to bi-objective loading of a flexible assembly system. Eur J Oper Res 107(3):656–668
Shin K, Park JO, Kim Y (2011) Multi-objective FMS process planning with various flexibilities using a symbiotic evolutionary algorithm. Comput Oper Res 38:702–712
Simaria A, Zanella de Sá M, Vilarinho P (2009) Meeting demand variation using flexible U-shaped assembly lines. Int J Prod Res 47(14):3937–3955
Suwannarongsri S, Puangdownreong D (2009) Metaheuristic approach to assembly line balancing. WSEAS transactions on systems 2(8):200–209
Toklu B, Özcan U (2008) A fuzzy goal programming model for the simple U-line balancing problem with multiple objectives. Eng Optim 40(3):191–204
Yang C, Gao J, Sun L (2013) A multi-objective genetic algorithm for mixed-model assembly rebalancing. Comput Ind Eng 65(1):109-116
Yoosefelahi A, Aminnayeri M, Mosadegh H, Davari Ardakahi H (2012) Type II robotic assembly line balancing problem: an evolution strategies algorithm for a multi-objective mode. J Manuf Syst 31(2):139–151
Zacharia P, Nearchou A (2012) Multi-objective fuzzy assembly line balancing using genetic algorithms. J Intell Manuf 23(3):615–627
Zhang W, Gen M (2011) An efficient multi-objective genetic algorithm for mixed-model assembly line balancing problem considering demand ratio-based cycle time. J Intell Manuf 22(3):367–378
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag London
About this chapter
Cite this chapter
Delorme, X., Battaïa, O., Dolgui, A. (2014). Multi-objective Approaches for Design of Assembly Lines. In: Benyoucef, L., Hennet, JC., Tiwari, M. (eds) Applications of Multi-Criteria and Game Theory Approaches. Springer Series in Advanced Manufacturing. Springer, London. https://doi.org/10.1007/978-1-4471-5295-8_2
Download citation
DOI: https://doi.org/10.1007/978-1-4471-5295-8_2
Published:
Publisher Name: Springer, London
Print ISBN: 978-1-4471-5294-1
Online ISBN: 978-1-4471-5295-8
eBook Packages: EngineeringEngineering (R0)