Line Balancing in Food Supplement Packing Process Using Simulation Program
Keywords:
simulation, line balancing, packing factory, efficiency improvementAbstract
This paper focuses on enhancing the efficiency of a dietary supplement packaging factory by optimizing the balance of packaging lines according to different scenarios. This is achieved through the application of the ECRS principle and simulation using the Simio software. Originally, the organization designed a standard packaging line for 24 operators to support three packaging lines. However, the current workforce consists of only 15 operators, making it impossible to fulfill all packaging orders in certain situations due to manpower limitations. Additionally, hiring more employees is not feasible, as more than 70% of the operational period throughout the year requires at most 15 operators. Therefore, balancing the packaging lines under workforce and daily order constraints is essential to maximize final production output. The study found that the application of ECRS principles significantly reduced the cycle time of operations by 44.70%, 41.12%, and 25.49% for packaging lines 1, 2, and 3, respectively. Furthermore, applying the ECRS principles in conjunction with Simio simulation modeling to allocate daily workforce distribution improved operational efficiency compared to the performance in 2023. The improvement rates were 17.07%, 18.14%, 16.07%, and 17.63% for three packaging lines operating with 15, 14, 13, and 12 operators, respectively.
References
M. Parvez, F. Amin, & F. Akter, “Line balancing techniques to improve productivity using work sharing method,” IOSR Journal of Research & Method in Education., vol. 7, no. 3, pp. 7-14, 2017.
M. Manaye, “Line balancing techniques for productivity improvement,” International Journal of Mechanical and Industrial Technology., vol. 7, no. 1, pp. 89-104, 2019.
T. M. M. Teshome, T. Y. Meles, and C.L. Yang, “Productivity improvement through assembly line balancing by using simulation modeling in case of Abay garment industry Gondar,” Heliyon., vol. 10, p. e23585, 2024.
I. Kustiyawan, M. R. Roestan, and C. Riani, “Automated Packaging Machine Analysis with the Overall Equipment Effectiveness Method,” International Journal of Industrial Engineering & Production Research., vol. 34, no. 4, pp. 1–14, 2023.
M. A. Abdulmalek and J. Rajgopal, “Analyzing the benefits of lean manufacturing and value stream mapping via simulation: A process sector case study,” International Journal of Production Economics., vol. 107, no. 1, pp. 223–236, 2007.
A. M. Law, Simulation Modeling and Analysis, 4th ed., New York: McGraw-Hill, 2007.
E. Jordaan and S. Matope, “Improvement of Plant Facility Layout for Better Labour Utilisation: Case Study of a Confectionery Company in The Western Cape,” in 25th Annual South African institute for Industrial Engineering Conference, Stellenbosch University, South Africa, 2013, pp. 610-1-610-14.
A. A. C. Vieira, E. Guilherme, J. A. Oliveira, L. S. Dias and G. Pereira, “Combining Simulation and Optimization Models on a Production Line Problem: A Case Study,” in 31st European Modeling and Simulation Symposium (EMSS 2019), Lisbon, Portugal, 2019, pp. 174–181.
C. Pethers, M. Ruesga, P. Moesta and E. Williams, “Simulation Improves Service and Operations at a Franchise Resale Store,” in 6th North American International Conference on Industrial Engineering and Operations Management (IEOM), Monterrey, Mexico, 2021, pp. 1–12.
D. Kitaw, A. Matebu, and S. Tadesse, “Assembly Line Balancing Using Simulation Technique in a Garment Manufacturing Firm,” Journal of EEA., vol. 27, pp. 69–80, 2010.
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