Assembly Line Re-Balancing Using Ranked Positional Weight Technique and Longest Operating Time Technique: A Comparative Analysis

Article Preview

Abstract:

Assembly line balancing is an attractive means of mass manufacturing and large-scale serial production systems. Traditionally, assembly lines are arranged in straight single-model lines and the problem is known as Simple Assembly Line balancing problem (SALBP). In this study, two heuristic assembly line balancing techniques known as the Ranked Positional Weight Technique, and the longest operational time technique, were applied to solve the problem of single-model line balancing problem in an assembling company with the aim of comparing the efficiencies of the application of the two algorithms. By using both methods, different restrictions were taken into consideration and two different lines balancing results were obtained. From the results obtained, Longest Operating Time Technique has higher line efficiency (85.16%) as compared to Ranked positional weight technique (79.28%) and it is easy to apply. The LOT technique gave the minimum number of workstations (27) as compared to the RPW technique (29); however the line efficiency and the number of workstation of the existing line are 74.67% and 31 respectively. This implies that the LOT technique has a better reduction in operating cost.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

568-578

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] S. Chen and L. Plebani, Heuristic for Balancing U-Shaped Assembly Lines with Parallel Stations, J. Oper. Res. Soc. Of Japan, 51 (2008) 1-14.

DOI: 10.15807/jorsj.51.1

Google Scholar

[2] S.G. Ponnambalam, P. Aravindan and G. M. Naidu, A Comparative Evaluation of Assembly Line Balancing Heuristics, Int.J. Adv. Manuf. Tech. 15 (1999) 577-586.

DOI: 10.1007/s001700050105

Google Scholar

[3] S.H. Eryuruk, F. Kalaoglu and M. Baskak, Assembly Line Balancing in a Clothing Company, J. Fibres and Textiles in Eastern Europe. 16 (2008) 93-98.

Google Scholar

[4] N. Kamlekar, R.C. Gupta and A. Dalpati, Implementation of Assembly Line Balancing in a Labour Intensive Manufacturing Unit, National Conference on Emerging Challenges for Sustainable business (2012) 1720-1730.

Google Scholar

[5] L. Martino and R. Pastor, Heuristic Procedure for Solving the General Assembly Line Balancing Problem with Setups (GALBPS), Int. J. of Prod. Res. 48 (2009) 1787-1804.

DOI: 10.1080/00207540802577979

Google Scholar

[6] M.F.F. Rashid, W. Hutabarat and A. Tiwari, A Review on Sequence Planning and Assembly Line Balancing Optimisation using Soft Computing Approaches, Int. J. Manuf. Tech. 59 (2011) 335-349.

DOI: 10.1007/s00170-011-3499-8

Google Scholar

[7] B. Rekiek, A. Delchambre, A. Dolgui and A. Bratcu, Assembly Line Design: A Survey, 15th Triennial World Congress, Barcelona, Spain.

DOI: 10.3182/20020721-6-es-1901.01647

Google Scholar

[8] K. Agpak, An Approach to find Task Sequence for Re-balancing of Assembly Lines, J. Assembly Automation, 30 (2010) 378-387.

DOI: 10.1108/01445151011075834

Google Scholar

[9] S. Ayazi, A. N. Hajizadeh, M. E. Nooshabadi, H. R. Jalaie and Y. M. Moradi, Multi-Objective Assembly Line Balancing Using Genetic Algorithm, Int. J. of Ind. Eng. Comp. 2 (2011) 863-872.

DOI: 10.5267/j.ijiec.2011.04.006

Google Scholar

[10] D. Mahto and A. Kumar, An Empirical Investigation of Assembly Line Balancing Techniques and Optimised Implementation Approach for Efficiency Improvements, Glob. J. of Res. In Eng. Mechanical and Mechanics Eng. 12 (2012) 1-14.

Google Scholar

[11] E.E. Adam, Jr. and R.E. Ebert, Production and Operations management, fifth ed., Prentice-Hall, New Delhi, (2006).

Google Scholar