Productivity Improvement through Line Balancing by Using Simulation Modeling

Subject Areas : Management of Technology and production

Aregawi Yemane ¹ , Gebremedhin Gebremicheal ² , Teklewold Meraha ³ , Misgna Hailemicheal ⁴

1 - Industrial Engineering, Faculty of mechanical and Industrial Engineering , Bahirdar University ,Bahirdar , Ethiopia
2 - Industrial Engineering, Faculty of mechanical and Industrial Engineering , Bahirdar University ,Bahirdar , Ethiopia
3 - Industrial Engineering, Faculty of mechanical and Industrial Engineering , Bahirdar University ,Bahirdar , Ethiopia
4 - Industrial Engineering, Faculty of mechanical and Industrial Engineering , Bahirdar University ,Bahirdar , Ethiopia

Received: 2018-06-20 Accepted : 2019-06-02 Published : 2020-06-01

Keywords:

References:

Amardeep, J. & Gautham, J. (2013). Line Balancing of Single Model Assembly Line. International Journal of Innovative Research in Science engineering and technolegy , pp 23-29.

Amen, M. (2000). Heuristic methods for cost-oriented assembly line balancing. International Journal of Production Economics , Vol.68, pp. 1-14.

Ashkan, H., Hamid, K., & Hesam, R. (2014.). Line balancing the production line by the simulation and statistics technique.

Bahadir, & Senem, K. (2013). Assembly line balancing in garment production by simulation.

BGMEA’s Chittagong unit. (2009). Quality and Productivity Management in perspective to Global Economic Situation. Bheda, D. R. ( 2014). Productivity in Apparel Manufacturing Back to Basics, December 2014 by Dr. Rajesh Bheda.

Bobby, J., & Jenson,  J. (2013). analysis and simulation of factory layout using arena.

Bon, A. T., Rahman, A. A., Bolhassan, E., & Nordin, M. A. ( 2013). Optimize Assembly Production Line using Line Balancing. The 2nd International Conference on Global Optimization and Its Applications. melaka, malaysia.

Bose, T. K. (2012). Application of Fishbone Analysis for Evaluating Supply Chain and Business process. International Journal of Managing Value and Supply Chains , 17-24.

Breginski, R., Cleto, M., & Junior, J. S. (2013). Assembly Line Balancing Using Eight Heuristics. 22nd International Conference on Production Research.

Chan, G., Hui, K., & Yeung, K. (1998). Handling the assembly line balancing problem in the clothing industry using a genetic algorithm. International Journal of Clothing Science and Technology , Vol.10, pp. 21-37.

Chen, J. C., Chen, C.-C., Su, L.-H., Wu, H.-B., & Sun, C.-J. (2012). Assembly line balancing in garment industry. Expert Systems with Applications .

Dwijayanti. (2010). A proposed study on facility planning and design in manufacturing proces. International multiconference of engineers and computer scientists 2010, , (p. vol III).

Elanchezhain, K.  & Vijaya, R. (2008). Production planning and control. chennai: Anuradha Publications.

Farhatun, N. (2016). Improving sewing section efficiency through utilizing worker capacity. Scientific and academic publishing.

Fukishini, T., & yamagata, T. (2014). The garment industry in low income countries. Houndmills: palgrave macmilan.

Kanawaty, G. (1992). Motion and Time study. Geneva: International labour organization.

Kelton, D. (2006). Simulation with arena. Boston: Mc Graw Hill.

Khan, I. (2013). Minimization of Reworks in Quality and Productivity Improvement in the Apparel Industry. International Journal of Engineering and Applied Sciences , 148-164.

Khatun. (2016). Application of I.E in the industry for better productivity.

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

Kumar, N., & Mahto, D. (2013). Productivity Improvement through Process Analysis for Optimizing Assembly Line in Packaging Industries. Global Journal of Researches in Engineering Industrial Engineering , Volume 13-.

Labour management in development . (2001). Labour management in development journal , vol 2.

Mahto, D., & Kumar, A. (2008). Application of Root Cause Analysis in Improvement of Product Quality and Productivity . Journal of Industrial Engineering and Management , 16-53.