A Review on Assembly Line Balancing by Different Approaches

Authors

  • Ashish Kumar Kaushik  Research scholar, Department of Mechanical Engineering, Integral University, Lucknow, Uttar Pradesh, India
  • Dr. Abhishek Dwivedi  Assistant Professor, Department of Mechanical Engineering, Integral University Lucknow, Uttar Pradesh India

DOI:

https://doi.org/10.32628/IJSRSET23103174

Keywords:

Assembly Line, Workstations, The Balance of The Assembly Line, Production And Equipment Cost

Abstract

One of the oldest and most common production methods is the assembly line. The assembly line balancing issue is used to quickly build large numbers of a consistent product and is concerned with reducing the number of workstations, decreasing cycle time, increasing workload homogeneity, and increasing work cohesion. Assembly lines were initially created for the mass manufacture of standardized goods at a low cost. A production unit's assembly line consists of a number of employees and equipment. An assembly line is used in a manufacturing facility to produce components. During processing, the product travels along this line. For a flexible production system, assembly lines have changed over time from simple lines with a single model to mixed lines with numerous models, lines with parallel workstations, and U-shaped lines. Planning assembly lines for a system's primary goals includes balancing the assembly line according to the intended production volume each shift and reducing the number of workstations. Various assembly line balance issues (ALBP) have been researched and described in this study. Researchers can greatly benefit from the creation of a mathematical model to address the assembly line balance and scheduling issues.

References

  1. N. Manavizadeh A. Dehghani, M. Rabbani 2011 Mixed Model Assembly Line Sequencing In Make to Order System with Available to Promise Consideration; World Academy of Science, Engineering and Technology International Journal of Industrial and Manufacturing Engineering; Volume 5, No. 9.
  2. Cemalettin Öztürk Semra Tunal? Brahim Hnich M. Arslan Örnek 2013 Balancing and scheduling of flexible mixed model assembly lines., Springer Science Business Media New York.
  3. Nils Boysen, Malte Fliedner, Armin Scholl 2009 Sequencing mixed-model assembly lines: Survey, classification and model critique, European Journal of Operational Research, Volume 192, Issue 2, Pages 349-373.
  4. John Miltenburg 1989 Level Schedules for Mixed-Model Assembly Lines in Just-In-Time Production Systems, informsPubsOnline, volume 35, issue 2.
  5. Carlos Andrés, Cristóbal Miralles, Rafael Pastor 2008 Balancing and scheduling tasks in assembly lines with sequence-dependent setup times; European Journal of Operational Research Volume 187, Issue 3, Pages 1212-122316.
  6. U?ur Özcan 2011 A genetic algorithm for the stochastic mixed-model U-line balancing and sequencing problem; International Journal of Production Research, volume 49; Issue-6.
  7. Senthilkumar Ramalingam, Ramkumar Anna Subramanian 2016 Solving Level Scheduling in Mixed Model Assembly Line by Simulated Annealing Method; Scientific Research journal; Volume7, No.6.
  8. Zhenxin Cao, Shiping Ma 2008 Balancing and Sequencing Optimization of the Mixed Model Assembly Lines; International Symposium on Computer Science and Computational Technology; IEEE, page no-732-736.
  9. Rafael Pastor, Carlos Andrés 2001 Scheduling and line balancing in a multi-product assembly line using tabu search; Researchgate.
  10. K Shahanaghi, A M Yolmeh, and U Bahalke 2009 Scheduling and balancing assembly lines with the task deterioration effect. Researchgate, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture; Page no-1145.
  11. T. Borreguero, F. Mas, JL. Menéndez, M.A. Barreda 2015 Enhanced Assembly Line Balancing and Scheduling Methodology for the Aeronautical Industry; The Manufacturing Engineering Society International Conference, Elsevier; Procedia Engineering; 990 – 997.
  12. Paul g. Ranky, Madan Subramanyam, Reggie J. Caudill, Ketan Limaye, Najeeb All 2003 Electronics and the Environment, IEEE International Symposium.
  13. Sebrina, Lucia Diawati 2012 The Impact of Learning on Assembly Line Capacity (A Case Study of an Indonesia Car Factory); Research gate.
  14. Amardeep, T.M. Rangaswamy, Gautham 2013 Line Balancing Of Single Model Assembly Line; International Journal of Innovative Research in Science, Engineering; Vol. 2, Issue 5.
  15. Anoop Kumar Elia and Dr. D. Choudhary 2014 Optimization of balancing for a mixed multi model assembly line; International Journal of Scientific & Engineering Research, Volume 5, Issue 4.
  16. Emel K?z?lkaya Aydo?an & Y?lmaz Delice & U?ur Özcan & Cevriye Gencer & Özkan Bali. 2019 Balancing stochastic U-lines using particle swarm optimization," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 97-111.
  17. Jiage Hua, Zhengxu Wang, Felix T.S. Chan, Carman K.M. Lee and Jan Ola Strandhagen 2018 Assembly Line Balance Based on Beam Ant Colony Optimization; Mathematical Problems in Engineering; page 1-17.
  18. Defersha, F. M., & Mohebalizadehgashti, F. 2018 Simultaneous balancing, sequencing, and workstation planning for a mixed model manual assembly line using hybrid genetic algorithm. Computers & Industrial Engineering, 119.

International Journal of Scientific Research in Science, Engineering and Technology

Downloads

Published

2023-06-30

Issue

Volume 10, Issue 3, May-June-2023

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Ashish Kumar Kaushik, Dr. Abhishek Dwivedi "A Review on Assembly Line Balancing by Different Approaches" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 10, Issue 3, pp.619-625, May-June-2023. Available at doi : https://doi.org/10.32628/IJSRSET23103174