Optimization of assembly line balancing using genetic algorithm

Journal of Central South University

Volumn 22, Issue 10, 2015, Pages 3957-3969

  Barathwaj, N ^a   Raja, P ^a   Gokulraj, S ^b  

^a SASTRA UNIVERSITY   (India)

^b Rane (Madras) Ltd Deputy Manager (Manufacturing Engineering System Design Department)   (India)

Author keywords

assembly line; genetic algorithm; line balancing; optimization; product family

Indexed keywords

ALGORITHMS; ASSEMBLY MACHINES; ERGONOMICS; GENETIC ALGORITHMS; OPTIMIZATION; PRODUCTION; RISK ASSESSMENT;

ASSEMBLY LINE; ASSEMBLY LINE BALANCING; CROSSOVER AND MUTATION; LINE BALANCING; MANUFACTURING INDUSTRIES; MIXED-MODEL ASSEMBLY LINES; PRODUCT FAMILIES; RAPID UPPER LIMB ASSESSMENTS;

ASSEMBLY;

EID: 84945209075     PISSN: 20952899     EISSN: 22275223     Source Type: Journal    
DOI: 10.1007/s11771-015-2940-9     Document Type: Article

References (24)

1. HOU L, WU Y M, LAI R S, TSAI C T. Product family assembly line balancing based on an improved genetic algorithm [J]. International Journal of Advanced Manufacturing Technology, 2014, 70(9/10/11/12): 1775–1786.
2. KIM Y K, SONG W S, KIM J H. A mathematical model and a genetic algorithm for two-sided assembly line balancing [J]. Computers and Operations Research, 2009, 36(3): 853–865.
3. SIMARIA A S, VILARINHO P M. A genetic algorithm based approach to the mixed model assembly line balancing problem of type II [J]. Computers and Industrial Engineering, 2004, 47(4): 391–407.
4. RUBINOVITZ J, LEVITIN G. Genetic algorithm for assembly line balancing [J]. International Journal of Production Economics, 1995, 41(1/2/3): 343–354.
5. SCHOLL A, FLIEDNER M, BOYSEN N. ABSALOM: Balancing assembly lines with assignment restrictions [J]. European Journal of Operational Research, 2010, 200(3): 688–701.
6. OTTO A, SCHOLL A. Incorporating ergonomic risk into assembly line balancing [J]. European Journal of Operational Research, 2011, 212(2): 277–286.
7. CHESHMEHGAZ H R, HARON H, KAZEMIPOUR F, DESA M I. Accumulated risk of body postures in assembly line balancing problem and modeling through a multi-criteria fuzzy-genetic algorithm [J]. Computers & Industrial Engineering, 2012, 63(2): 503–512.
8. BRIDGER R S. Introduction to ergonomics [M]. London: Taylor & Francis, 2003: 1–186.
9. RASHID M F F. HUTABARAT W, TIWARI A. A review on assembly sequence planning and assembly line balancing optimization using soft computing approaches [J]. International Journal of Advanced Manufacturing Technology, 2012, 59(1/2/3/4): 335–349.
10. ZHU X, HU S J, KOREN Y, HUANG N. A complexity model for sequence planning in mixed-model assembly lines [J]. Journal of Manufacturing Systems, 2011, 31(2): 121–130.
11. KALAYCI C B, POLAT O, GUPTA S M. A hybrid genetic algorithm for sequence-dependent disassembly line balancing problem [J]. Annals of Operations Research, 2014, DOI: 10. 1007/s10479-014-1641-3
12. BATTINI D, FACCIO M, FERRARI E, PERSONA A, SGARBOSSA F. Design configuration for a mixed-model assembly system in case of low product demand [J]. International Journal of Advanced Manufacturing Technology, 2007, 34(1/2): 188–200.
13. SANDANAYAKE Y G, ODUOZA C F. Dynamic simulation for performance optimization in just-in-time-enabled manufacturing processes [J]. International Journal of Advanced Manufacturing Technology, 2009, 42(3/4): 372–380.
14. AKPINAR S, BAYKASOGLU A. Modeling and solving mixed-model assembly line balancing problem with setups. Part-1: A mixed integer linear programming model [J]. Journal of Manufacturing System, 2014, 33(1): 177–187.
15. MORADI H, ZANDIEH M. An imperialist competitive algorithm for a mixed-model assembly line sequencing problem [J]. Journal of Manufacturing Systems, 2013, 32(1): 46–54.
16. CHEN J C, WU C W, THAO T D D, SU L H, HSIEH W H, CHEN T. Hybrid genetic algorithm for solving assembly line balancing problem in footwear industry [J]. Advanced Materials Research, 2014, 939: 621–629.
17. www.osha.gov
18. www.rula.co.uk
19. Al-HAWARI T, ALI M, Al-ARAIDAH O, MUMANI A. Development of a genetic algorithm for multi-objective assembly line balancing using multiple assignment approach [J]. International Journal of Advanced Manufacturing Technology, 2015, 77(5/6/7/8): 1419–1432.
20. RAJA P, ABHILASH M, SHANKAR K R, ADARSH A. Quadrant based incremental planning for mobile robots [J]. Journal of Central South University, 2014, 21(5): 1792–1803.
21. KUMAR M D M, RAJA P. Design and simulation of radial control in continuous variable transmission pulley [J]. International Journal of Applied Engineering Research, 2014, 9(22): 14019–14039.
22. RAJA P, PUGAZHENTHI S. Online path planning for mobile robots in dynamic environments [J]. Neural Network World, 2012, 22(1): 67–83.
23. RAJA P, PUGAZHENTHI S. Path planning for a mobile robot in dynamic environments [J]. International Journal of Physical Sciences, 2011, 6(20): 4721–4731.
24. RAJA P, PUGAZHENTHI S. Path planning for mobile robots in dynamic environments using particle swarm optimization [C]// Proc 2009 Int Conf on Advances in Recent Technologies in Communication and Computing. Kottayam, 2009: 401–405.