Productivity Improvement through Line Balancing by Using Simulation Modeling

Document Type: Original Manuscript


Industrial Engineering, Faculty of mechanical and Industrial Engineering , Bahirdar University ,Bahirdar , Ethiopia



The typical problems facing garment manufacturers are long production lead time, bottlenecking, and low productivity. The most critical phase of garment manufacturing is the sewing phase, as it generally involves a number of operations or for the simple reason that it’s labor intensive. In assembly line balancing, allocation of jobs to machines is based on the objective of minimizing the workflow among the operators, reducing the throughput time as well as the work in progress and thus increasing the productivity. Sharing a job of work between several people is called division of labor. Division of labor should be balanced equally by ensuring the time spent at each station approximately the same. Each individual step in the assembly of product has to be analyzed carefully, and allocated to stations in a balanced way over the available workstations. Each operator then carries out operations properly and the work flow is synchronized. In a detailed work flow, synchronized line includes short distances between stations, low volume of work in process, precise of planning of production times, and predictable production quantity. This study deals with modeling of assembly line balancing by combining both manual line balancing techniques with computer simulation to find the optimal solution in the sewing line of Almeda textile plc so as to improve productivity. In this research arena software, is employed to model and measure the performance of the existing and proposed sewing line of the federal police trousers sewing line model. For each operation, the researchers have taken 15 sampling observations using stopwatch and recorded the result. All the collected data are statistically analyzed with arena input analyzer for statistical significance and determination of expressions to be used to the simulation modeling; SAM is also calculated for these operations to be used to the manual line balancing. An existing systems simulation model is developed and run for 160 replications by the researchers to measure the current performance of the system in terms of resource utilization, WIP, and waiting time. The existing systems average utilization is 0.53 with a line efficiency of 42%. This study has developed a new Sewing assembly line model which has increased the system utilization to 0.69 at a line efficiency of 58.42% without incurring additional cost.

Graphical Abstract

Productivity Improvement through Line Balancing by Using Simulation Modeling


  • To identify the idle and bottleneck stations.
  • To develop simulation model of the existing assembly line federal police trousers.
  • To propose developed simulation model for the assembly line
  • To determine proper precedence of operational sequence of the line.
  • To identify the root cause of the variation between target and actual out put
  • To design proper lay out for the sewing line of woven section which particularly produce federal police trousers.


Main Subjects

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.