Implementation of Line Balancing to Increase the Productivity of the Box Aspect Production Process
Abstract
In the manufacturing industry, the balance of the production trajectory is an important factor in increasing productivity and efficiency. In the production process at PT XYZ, there are problems with the balance of the production trajectory at the workstation, so it is necessary to determine the optimal production trajectory so that the load on the workstation can be evenly distributed and able to reduce idle time. The Ranked Positional Weight (RPW) and Region Approach (RA) methods were chosen in this study. The main bottleneck was found at the hole cutting stage, where tool limitations caused output differences between manual and machine processes. This imbalance resulted in idle time which affected the overall production efficiency. The analysis results show that the application of RPW and RA methods is able to improve trajectory efficiency by optimizing the number of work stations and reducing idle time. The analysis results state that the company can achieve a trajectory efficiency of 88.48% and reduce the balance delay from -16.67% to 15,73% and a smoothness index of 611,25%.
References
Álvarez-Miranda, E., Chace, S., & Pereira, J. (2021). Assembly line balancing with parallel workstations. International Journal of Production Research, 59(21), 6486-6506. http://dx.doi.org/10.1080/00207543.2020.1818000
Amalia, A. N., Yudhanegara, D., & Gumelar, A. (2021). Pengukuran Keseimbangan Lintasan Produksi Sabuk Kopling Mobil. Industrika: Jurnal Ilmiah Teknik Industri, 5(1), 25-30.
Carlin, W., & Seabright, P. (2001). The importance of competition in developing countries for productivity and innovation Background paper for World Development Report. The Surveillance Studie s Centre.
Çelik, M. T., & Arslankaya, S. (2023). Solution of the assembly line balancing problem using the rank positional weight method and Kilbridge and Wester heuristics method: An application in the cable industry. Journal of Engineering Research, 11(3), 182-191. https://doi.org/10.1016/j.jer.2023.100082
Cheng, L., Tang, Q., Zhang, L., & Yu, C. (2022). Scheduling flexible manufacturing cell with no-idle flow-lines and job-shop via Q-learning-based genetic algorithm. Computers & Industrial Engineering, 169, 108293. https://doi.org/10.1016/j.eswa.2025.128198
Dasanti, A. F., Jakdan, F., Dedy, & T.Santoso. (2020). Penerapan Konsep Line Balancing Untuk Mencapai Kerja Di PT GARMENT JAKARTA. Bulletin of Applied Industrial Engineering Theory, 1(2), 2–7.
Fitri, M., Adelino, M. I., & Apuri, M. L. (2022). Analisis Line Balancing Untuk Meningkatkan Efisiensi Lintasan Produksi Perakitan. Rang Teknik Journal, 5(2), 295–300. https://doi.org/10.31869/rtj.v5i2.3223
Gunawan, W., & Wirawati, M. (2023). Analisis Perbandingan Kriteria Line Balancing Dengan Menggunakan Metode Lcr Pada Automation Cell (Studi Kasus Di Pt. Unp). Journal of Industrial Engineering & Management Research, 4(4), 95–107.
Habib, M. A., Rizvan, R., & Ahmed, S. (2023). Implementing lean manufacturing for improvement of operational performance in a labeling and packaging plant: A case study in Bangladesh. Results in Engineering, 17, 100818. http://dx.doi.org/10.1016/j.rineng.2022.100818
Helal, M., Nag, K., & Ozdemir, R. (2024). ON THE ASSEMBLY LINE BALANCING PROBLEM: A SIMPLIFIED PERSPECTIVE WITH THE PRECEDENCE MATRIX. Journal of Applied Engineering and Technological Science, 6(1), 1-20. http://dx.doi.org/10.37385/jaets.v6i1.5597
Ivan T, J. A. S. (2022). Analisis Line Balancing Menggunakan Metode Region Approach di PT. XYZ. 03(03), 49–60.
Leppänen, P., George, G., & Alexy, O. (2023). When do novel business models lead to high performance? A configurational approach to value drivers, competitive strategy, and firm environment. Academy of management journal, 66(1), 164-194. http://dx.doi.org/10.5465/amj.2020.0969
Liu, Q., Qu, X., Wang, D., Abbas, J., & Mubeen, R. (2022). Product market competition and firm performance: business survival through innovation and entrepreneurial orientation amid COVID-19 financial crisis. Frontiers in Psychology, 12, 790923. http://dx.doi.org/10.3389/fpsyg.2021.790923
Lunny, M. (2022). Automation of NC Programming with Artificial Intelligence (Doctoral dissertation, Massachusetts Institute of Technology).
Naeem, A., Pasha, R. A., & Muneeb, M. (2022). A novel milling fixture pallet system for production growth of alligator forceps: Design, manufacturing, and testing. Results in Engineering, 16, 100668. http://dx.doi.org/10.1016/j.rineng.2022.100668
Prabowo, R. (2022). Line Balance Application to Achieve Optimum Work Efficiency at Work Station in PT. Pulsara Cempaka–Cigarette Factory at Tulungagung District, East Java. JURNAL TEKNIK INDUSTRI, 12(3), 265-271. https://doi.org/10.25105/jti.v12i3.15659
Pradana, A. Y., & Pulansari, F. (2021). Analisis Pengukuran Waktu Kerja Dengan Stopwatch Time Study Untuk Meningkatkan Target Produksi Di Pt. Xyz. Juminten, 2(1), 13–24. https://doi.org/10.33005/juminten.v2i1.217
Pradesi, J., Yaqin, N. A., & Yahya, R. (2021). Meningkatkan Efisiensi Lintasan Kerja Menggunakan Metode RPW dan Killbridge Western Di PT. Sango Ceramic Indonesia Improving Work Track Efficiency Using RPW and Killbridge Western Methods At PT. Sango Ceramic Indonesia. Indonesian Journal of Science, 2(1), 20–27.
Pulansari, F., & Nugraha, I. (2023). Analysis of Line Balancing using Ranked Positional Weight (RPW), Largest Candidate Rule (LCR), and J-Wagon Methods in Crane Girder Production at PT MHE Demag Surabaya, Indonesia. Technium, 16. https://doi.org/10.47577/technium.v16i.10008
Rahayu, M., & Juhara, S. (2020). Pengukuran Waktu Baku Perakitan Pena Dengan Menggunakan Waktu Jam Henti Saat Praktikum Analisa Perancangan Kerja. Unistek, 7(2), 93–97. https://doi.org/10.33592/unistek.v7i2.650
Ramalho, P. M. S., Campilho, R. D. S. G., Silva, F. J. G., Pedroso, A. F. V., & Sales-Contini, R. C. M. (2024). Productivity improvement of control cable manufacturing machine for the automotive industry. Mechanics Based Design of Structures and Machines, 52(12), 9717-9740. https://doi.org/10.1080/15397734.2024.2349903
Rasib, A. A., Abdullah, R., Wahyono, F. Z., & Ramli, M. (2025). Enhancing Manufacturing Efficiency: A Case Study On Automotive Assembly Line Balancing Techniques For Improving Production Capacity. Journal of Engineering Science and Technology, 20(2), 427-441.
Soori, M., Arezoo, B., & Dastres, R. (2023). Optimization of energy consumption in industrial robots, a review. Cognitive Robotics, 3, 142-157. https://doi.org/10.1016/j.cogr.2023.05.003
Styawan, D. A., Wahyudin, W., & Hamdani, H. (2021). Penerapan Line Balancing untuk Meningkatkan Proses Perakitan Control Panel di Line Service Part pada PT. Kawai Indonesia Plant 3. Jurnal Serambi Engineering, 6(4). https://doi.org/10.32672/jse.v6i4.3520
Tampi, P. P., Nabella, S. D., & Sari, D. P. (2022). The influence of information technology users, employee empowerment, and work culture on employee performance at the Ministry of Law and Human Rights Regional Office of Riau Islands. Enrichment: Journal of Management, 12(3), 1620-1628. https://doi.org/10.35335/enrichment.v12i3.628
Xu, S., Shavarani, S. M., Nejad, M. G., Vizvari, B., & Toghraie, D. (2023). A novel competitive exact approach to solve assembly line balancing problems based on lexicographic order of vectors. Heliyon, 9(3). http://dx.doi.org/10.1016/j.heliyon.2023.e13925
Yılmaz, Ö. F. (2022). Tactical level strategies for multi-objective disassembly line balancing problem with multi-manned stations: an optimization model and solution approaches. Annals of Operations Research, 319(2), 1793-1843. https://link.springer.com/article/10.1007/s10479-020-03902-3
Zamzam, N., & Elakkad, A. (2021). Time and space multi-manned assembly line balancing problem using genetic algorithm. Journal of Industrial Engineering and Management (JIEM), 14(4), 733-749. http://dx.doi.org/10.3926/jiem.3542
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