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 AJIBM  Vol.9 No.4 , April 2019
Production Efficiency Improvement by Using Tecnomatix Simulation Software and RPWM Line Balancing Technique: A Case Study
Abstract:
One of the most used production systems is the assembly line balancing which is used to improve or balance different production line of different industries all over the world. This paper is about improving the productivity of a particular sewing line of a Duffle Trolley (DFT) bag of VIP Industries Bangladesh Private Limited by balancing the line. By balancing the line product can be produced at a high production rate in the shortest time with an optimum productive way which is also cheap and demanded quality. This paper identifies the opportunities for improvement of current sewing line by performing RPWM (Ranked Positional Weight Method) line balancing technique and testing feasibility using Tecnomatix simulation software. In this study, at first-time study of each operation was performed. For each process SMV (standard minute value), the existing line efficiency and production cycle time also labor productivity were calculated. Then using the precedence diagram and RPWM a balanced line layout was found and the line was tested by Tecnomatix software for validity. The final result obtained was an optimized and improved balance line layout for the sewing line. Finally, following this, the company will be able to produce the product at a high production rate through the minimum cost and meet the daily production target.
Cite this paper: Islam, M. , Sarker, S. and Parvez, M. (2019) Production Efficiency Improvement by Using Tecnomatix Simulation Software and RPWM Line Balancing Technique: A Case Study. American Journal of Industrial and Business Management, 9, 809-820. doi: 10.4236/ajibm.2019.94054.
References

[1]   Ponnambalam, S.G., Aravindan, P. and Naidu, G.M. (2000) A Multi-Objective Genetic Algorithm for Solving Assembly Line Balancing Problem. The International Journal of Advanced Manufacturing Technology, 16, 341-352. https://doi.org/10.1007/s001700050166

[2]   Kitaw, D., Matebu, A. and Tadesse, S. (2010) Assembly Line Balancing Using Simulation Technique in a Garment Manufacturing Firm. Zede Journal, 27, 69-80.

[3]   Jaganathan, V.P. (2014) Line Balancing Using Largest Candidate Rule Algorithm in a Garment Industry: A Case Study. International Journal of Lean Thinking, 5, 25-35.

[4]   Unuigbe, A.I., Unuigbe, H.A., Aigboje, E.O. and Ehizibue, P.A. (2016) Assembly Line Balancing Using Fuzzy Logic: A Case Study of a Tricycle Assembly Line. Open Journal of Optimization, 5, 59-70. https://doi.org/10.4236/ojop.2016.52008

[5]   Bahadir, S.K. (2011) Assembly Line Balancing in Garment Production by Simulation. InTech, London.

[6]   Kumar, N. and Mahto, D. (2013) Assembly Line Balancing: A Review of Developments and Trends in Approach to Industrial Application. Global Journal of Research in Engineering, 12, 29-50.

[7]   Pearce, B. (2015) A Study on General Assembly Line Balancing Modeling Methods and Techniques.

[8]   Groover, M.P. (2008) Automation, Production Systems, and Computer-Integrated Manufacturing. 3rd Edition, Pearson Education, New Delhi.

[9]   Ramlan, R. and Tan, G.F. (2012) Cycle Time Reduction of a Garment Manufacturing Company Using Simulation Technique.

[10]   Rekiek, B. and Delchambre, A. (2006) Assembly Line Design: The Balancing of Mixed-Model Hybrid Assembly Lines with Genetic Algorithms. Springer Science & Business Media, Berlin.

[11]   Van Hop, N. (2006) A Heuristic Solution for Fuzzy Mixed-Model Line Balancing Problem. European Journal of Operational Research, 168, 798-810.
https://doi.org/10.1016/j.ejor.2004.07.029

[12]   Rashid, M.F.F., Hutabarat, W. and Tiwari, A. (2012) A Review on Assembly Sequence Planning and Assembly Line Balancing Optimisation Using Soft Computing Approaches. The International Journal of Advanced Manufacturing Technology, 59, 335-349.
https://doi.org/10.1007/s00170-011-3499-8

[13]   Khanna, O.P. (1992) Industrial Engineering & Management. Revised Edition, Dhanpat Rai & Sons, New Delhi, 20-17.

[14]   Shartle, C.L. (1956) Executive Performance and Leadership.

 
 
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