A New OvS Approach in an Assembly Line Balancing Problem

One of the most famous techniques which affect the efficiency of a production line is the assembly line balancing (ALB) technique. This paper examines the balancing effect of a whole production line of a real auto glass manufacturer in three steps. In the first step, processing time of each activity in the workstations is generated according to a practical approach. In the second step, the whole production process is simulated and the bottleneck stations have been identified, and finally in the third step, several improvement scenarios are generated to optimize the system throughput, and the best one is proposed. The main contribution of the current research is the proposed framework which combines two famous approaches including Assembly Line Balancing and Optimization via Simulation technique (OvS). The results show that the proposed framework could be applied in practical environments, easily.

Authors:

• P. Azimi
• B. Behtoiy

Keywords:

• Assembly line balancing problem
• optimization via simulation
• production planning.

References:

[1] N. Boysen, M. Fliedner, and A. Scholl. “Assembly line balancing:
Which model to use when, International Journal of Production
Economics, vol. 111, 2008, pp. 509-528.
[2] N. Y. Sotskov, Alexandre Dolgui, Marie-Claude Portmann,“Stability
analysis of an optimal balance for an assembly line with fixed cycle
time”, Proceedings of Emerging Technologies & Factory Automation,
DOI: 10.1109/ETFA.2009.5347109, 2009,
[3] Lale Ozbakira, Adil Baykasoglub, Beyza Gorkemlia, Latife Gorkemlia,
“Multiple-colony ant algorithm for parallel assembly line balancing
problem”, European Journal of Operations Research, vol. 168, 2006,
pp. 783-797.
[4] Morteza Saberi, Ali Azadeh, Alireza Aliasgari, Shahrzad Faghihroohi,
“Assembly Line Balancing with Discrete Simulation”, Proceedings of
APIEMS 2008, Nusa Dua, Bali – Indonesia, December 3rd – 5th, 2008.
[5] Amardeep, T. M. Rangaswamy, and Gautham,“Line Balancing Of
Single Model Assembly Line”, International Journal of Innovative
Research in Science, Engineering and Technology, vol. 2, 2013, pp.
1678-1680.
[6] Houshang Taghizadeh, Amin Zeinalzadeh, “The Use of Heuristic
Models of ranked positional weight and longest candidate rules (LCR)
For Assembly Lines Balancing and its Effect on Organizational
Performance (Case Study: Urmia Tractor Manufacturing Company)”,
International Journal of Industrial Engineering and Production
Management, vol. 20, 2009, pp. 55-64.
[7] L. Tiacci, “Coupling a genetic algorithm approach and a discrete event
simulator to design mixed-model un-paced assembly lines with parallel workstations and stochastic task times”, International Journal of
Production Economics, vol. 159, 2015, pp. 319-333.