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Efficiency improvement of automotive assembly lines using simple assembly line balancing problem type-E

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Języki publikacji
EN
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EN
Background: An assembly line is a technique used in mass production industries, especially in the automotive industry; it consists of many workstations organized along a conveyor belt system or other material handling equipment. The assembly line balancing problem (ALBP) involves assigning assembly tasks to workstations on the line while meeting optimization goals. It is considered a critical issue in operations management because it directly affects the productivity of the entire manufacturing system. Methods: Based on the mathematical model previously developed by (Esmaeilbeigi, Naderi, and Charkhgard 2015) for the E-type SALBP problem, we proposed a new model adaptable to the automotive sector. The proposed model uses new feasibility rules and optimizes constraints in order to propose better balancing results and efficiency. Results: A computational experiment is presented in this article, using the newly developed model to balance an assembly line in an automotive manufacturing plant consisting of 5 workstations. Conclusions: The experimental results show that the proposed model improved the line efficiency by 15%, which proves that the proposed method has good robustness.
Czasopismo
Rocznik
Strony
183--193
Opis fizyczny
Bibliogr. 28 poz., rys., tab.
Twórcy
  • Engineering Sciences Laboratory, National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco
  • Engineering Sciences Laboratory, National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco
  • Engineering Sciences Laboratory, National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco
Bibliografia
  • 1. Ahmadi, Salah Eddine Ayoub El, et Laila El Abbadi. 2020. „The Impact of Covid-19 on Connected and non-Connected Production Lines in the Automotive Industry”. In 2020 International Symposium on Advanced Electrical and Communication Technologies (ISAECT), 13. Marrakech, Morocco: IEEE. https://doi.org/10.1109/ISAECT50560.2020.9523641
  • 2. Baykasoglu, Adil. 2006. „Multi-Rule Multi-Objective Simulated Annealing Algorithm for Straight and U Type Assembly Line Balancing Problems”. Journal of Intelligent Manufacturing 17 (2): 217-32. https://doi.org/10.1007/s10845-005-6638-y
  • 3. Baykasoglu, Adil, et Türkay Dereli. 2008. „Two-Sided Assembly Line Balancing Using an Ant-Colony-Based Heuristic”. The International Journal of Advanced Manufacturing Technology 36 (56): 582-88. https://doi.org/10.1007/s00170-006-0861-3
  • 4. Chica, Manuel, Óscar Cordón, Sergio Damas, et Joaquín Bautista. 2010. „Multiobjective Constructive Heuristics for the 1/3 Variant of the Time and Space Assembly Line Balancing Problem: ACO and Random Greedy Search”. Information Sciences 180 (18): 3465-87. https://doi.org/10.1016/j.ins.2010.05.033
  • 5. Deckro, Richard F, et Sarangan Rangachari. 1990. „A Goal Approach to Assembly Line Balancing”. Computers & Operations Research 17 (5): 509-21. https://doi.org/10.1016/0305-0548(90)90055-C
  • 6. S. E. A. E. El Ahmadi et L. El Abbadi, „Impact of COVID-19 pandemic on the effectiveness of automotive production lines-case study”, Suranaree Journal of Science and Technology, 2023
  • 7. El Ahmadi, Salah Eddine Ayoub, et Laila El Abbadi. 2022. „Reducing Flow Time in an Automotive Asynchronous Assembly Line - An application from an automotive factory”. Management and Production Engineering Review. https://doi.org/10.24425/MPER.2022.140880
  • 8. EL AHMADI, SALAH EDDINE AYOUB, LAILA EL ABBADI, et MOULAY TAIB BELGHITI. 2019. „State of the art: Simple Assembly Line Balancing Problems in automotive industry and a comparison of the algorithms used”. In. Pilsen, Czech Republic.
  • 9. Erel, Erdal, et Subhash C. Sarin. 1998. „A Survey of the Assembly Line Balancing Procedures”. Production Planning & Control 9 (5): 414-34. https://doi.org/10.1080/095372898233902
  • 10. Esmaeilbeigi, Rasul, Bahman Naderi, et Parisa Charkhgard. 2015. „The Type E Simple Assembly Line Balancing Problem: A Mixed Integer Linear Programming Formulation”. Computers & Operations Research 64 (décembre): 168-77. https://doi.org/10.1016/j.cor.2015.05.017
  • 11. Fattahi, Parviz, Abdolreza Roshani, et Abdolhassan Roshani. 2011. „A Mathematical Model and Ant Colony Algorithm for Multi-Manned Assembly Line Balancing Problem”. The International Journal of Advanced Manufacturing Technology 53 (14): 363-78. https://doi.org/10.1007/s00170-010-2832-y
  • 12. Hong, D.S., et H.S. Cho. 1997. „Generation of Robotic Assembly Sequences with Consideration of Line Balancing Using Simulated Annealing”. Robotica 15 (6): 663-73. https://doi.org/10.1017/S0263574797000799
  • 13. Hussain, Zahid, et Hamid Jan. 2019. „Establishing Simulation Model for Optimizing Efficiency of CNC Machine Using Reliability-Centered Maintenance Approach”. International Journal of Modeling, Simulation, and Scientific Computing 10 (06): 1950034. https://doi.org/10.1142/S179396231950034X
  • 14. Jiao, Jianxin, Arun Kumar, et Wilfried Martin. 2006. „A Web-Based Interactive Advisor for Assembly Line Balancing”. The International Journal of Advanced Manufacturing Technology 27 (11-12): 1192-1201. https://doi.org/10.1007/s00170-004-2319-9
  • 15. Jirasirilerd, Ganokgarn, Rapeepan Pitakaso, Kanchana Sethanan, Sasitorn Kaewman, Worapot Sirirak, et Monika Kosacka-Olejnik. 2020. „Simple Assembly Line Balancing Problem Type 2 By Variable Neighborhood Strategy Adaptive Search: A Case Study Garment Industry”. Journal of Open Innovation: Technology, Market, and Complexity 6 (1): 21. https://doi.org/10.3390/joitmc6010021
  • 16. Jusop, M, et M F F Ab Rashid. 2015. „A review on simple assembly line balancing type-e problem”. IOP Conference Series: Materials Science and Engineering 100 (décembre): 012005. https://doi.org/10.1088/1757-899X/100/1/012005
  • 17. Kilincci, Ozcan. 2010. „A Petri Net-Based Heuristic for Simple Assembly Line Balancing Problem of Type 2”. The International Journal of Advanced Manufacturing Technology 46 (14): 329-38. https://doi.org/10.1007/s00170-009-2082-z
  • 18. Kilincci, Ozcan, et G. Mirac Bayhan. 2006. „A Petri Net Approach for Simple Assembly Line Balancing Problems”. The International Journal of Advanced Manufacturing Technology 30 (11-12): 1165-73. https://doi.org/10.1007/s00170-005-0154-2
  • 19. Kim, Yeo Keun, Won Seop Song, et Jun Hyuk Kim. 2009. „A Mathematical Model and a Genetic Algorithm for Two-Sided Assembly Line Balancing”. Computers & Operations Research 36 (3): 853-65. https://doi.org/10.1016/j.cor.2007.11.003
  • 20. Lai, Lucas K.C., et James N.K. Liu. 2009. „ALBO: An Assembly Line Balance Optimization Model Using Ant Colony Optimization”. In 2009 Fifth International Conference on Natural Computation, 8-12. Tianjian, China: IEEE. https://doi.org/10.1109/ICNC.2009.693
  • 21. Lee, Tae Ok, Yeongho Kim, et Yeo Keun Kim. 2001. „Two-Sided Assembly Line Balancing to Maximize Work Relatedness and Slackness”. Computers & Industrial Engineering 40 (3): 273-92. https://doi.org/10.1016/S0360-8352(01)00029-8
  • 22. Nearchou, A. C. 2008. „Multi-Objective Balancing of Assembly Lines by Population Heuristics”. International Journal of Production Research 46 (8): 2275-97. https://doi.org/10.1080/00207540600988089
  • 23. Roshani, Abdolreza, Parviz Fattahi, Abdolhassan Roshani, Mohsen Salehi, et Arezoo Roshani. 2012. „Cost-Oriented Two-Sided Assembly Line Balancing Problem: A Simulated Annealing Approach”. International Journal of Computer Integrated Manufacturing 25 (8): 689-715. https://doi.org/10.1080/0951192X.2012.664786
  • 24. Sabuncuoglu, I., E. Erel, et M. Tanyer. 2000. „Assembly line balancing using genetic algorithms”. Journal of Intelligent Manufacturing 11 (3): 295-310. https://doi.org/10.1023/A:1008923410076
  • 25. Saif, Ullah, Zailin Guan, Baoxi Wang, Jahanzeb Mirza, et Shiyang Huang. 2014. „A Survey on Assembly Lines and Its Types”. Frontiers of Mechanical Engineering 9 (2): 95-105. https://doi.org/10.1007/s11465-014-0302-1
  • 26. Thangavelu, S. R., et C. M. Shetty. 1971. „Assembly Line Balancing by Zero-One Integer Programming”. AIIE Transactions 3 (1): 61-68. https://doi.org/10.1080/05695557108974787
  • 27. Wang, H.S., Z.H. Che, et C.J. Chiang. 2012. „A Hybrid Genetic Algorithm for Multi-Objective Product Plan Selection Problem with ASP and ALB”. Expert Systems with Applications 39 (5): 5440-50. https://doi.org/10.1016/j.eswa.2011.11.041
  • 28. Yeh, Din-Horng, et Hsiu-Hsueh Kao. 2009. „A New Bidirectional Heuristic for the Assembly Line Balancing Problem”. Computers & Industrial Engineering 57 (4): 1155-60. https://doi.org/10.1016/j.cie.2009.05.004
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ca696ac5-c23b-4a80-9ce2-ed68f6a676e3
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