PROCESS SIMULATOR FOR MANUAL HANDLING PESTICIDE PACKAGING ASSEMBLY LINE
DOI:
https://doi.org/10.24191/mjoc.v9i2.26549Keywords:
Assembly Lines, Costing, Cycle Time, Line Balancing, Process SimulatorAbstract
Reducing production costs without sacrificing product quality is essential for the global market survival. The problem of line balancing, especially assembly line balancing, plays an important role for industry in achieving the highest quality and lowest cost. This project presents the simulation of line balancing the pesticide packaging assembly line in pesticidebased company. This study aims to develop a productive and effective way of assembling the product to meet customer demands. Line balancing is about arranging a production line so that the production flow from one workstation to the next is even. Line balancing also provides a successful tool to reduce bottleneck by balancing the task time of each workstation so that no delays occur, and nobody is overburdened with their work. The whole project contains study of line balancing through theoretical calculation and analysis done in the simulation model. The simulation was performed using the Process Simulator. Process simulator has been used to simulate the layout condition based in precedence diagram. The first step in using Process Simulator is to create a simulation model of a process in the Visio layout. This is accomplished by adding activities, entities, and resources to the Visio layout and then connecting them with arrival and routing connections. Overall simulation result shows that total unit produce for 5 weeks is 12,240 cartons with average time in system 11,293.85 minutes and average time in operation is 2.39 mins. Filling process and manual labelling process shows highest operation percentage. The percentage of blocked items increased before the bottleneck process. The assembly line plays a critical role in enabling the factory to deliver the right quantity and quality on time.
References
Akshay C Shettigar, H. S. (July, 2019). Efficiency Improvement in the Assembly Line with the Application of Assembly Line Balancing Method. International Journal of Recent Technology and Engineering (IJRTE), 8(2S3), ISSN: 2277-3878, .
Al-Asyraf, R. A. (2012). Production Flow Analysis through Value Steam Mapping: A Lean Manufacturing Process Case Study. International Symposium on Robotic and Intelligent Sensors 2012, Vol.41, pp. 1727-1734.
Alrawi, M. A. (2023). Proposing a new method to solve line balancing bottleneck problem in the single-model line. Emerald Open Research.
Çelika, M. T. (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.
Chueprasert, M. a. (2016). Productivity improvement based line balancing: a case study of pasteurized milk manufacturer. International Food Research Journal, 22(6): 2313-2317.
Gonzales-Rodriguez, D. C. (March 7-10, 2022). System Improvement Through the Application of Assembly Line Balancing. Proceedings of the International Conference on Industrial Engineering and Operations Management. Istanbul, Turkey, .
Halim, M. R. (2019). Optimising Traffic Flow at A Signalized Intersection using Simulation. Malaysian Journal of Computing, 4 (2): 261-269.
J. B. H. C. Didden, E. L. (2023). Genetic algorithm and decision support for assembly line balancing in the automotive industry. International Journal of Production Research, 61(10), 3377–3395.
Lee J, M. L. (2016). Operation Management: Process and Supply Chain, 11th edition. Edinburgh: Pearson Education Limited 2016.
Miscey, M. H. (2014). A Novel Application of Energy Analysis: Lean Manufacturing Tool to Improve Energy Efficiency and Flexibility of Hydrocarbon Processing. Energy, Vol 77, pp. 382-390.
Naveen Kumar a, S. S. (2022). Lean manufacturing techniques and its implementation: A review. Material Today, Volume 64, Part 3, Pages 1188-1192.
N. Boysen, M. F. (2007). A classification of assembly line balancing problems. European Journal of Operational Research, Vol. 183, (2),pp. 674-693.
Salah Eddine Ayoub El Ahmadi. (2019). A Review Paper on Algorithms Used for Simple Assembly Line Balancing Problems in the Automotive Industry. Proceedings of the International Conference on Industrial Engineering and Operations Management. Pilsen, Czech Republic.
Shifu Xu a, b. ,. (2023). A novel competitive exact approach to solve assembly line balancing problems based on lexicographic order of vectors. Heliyon, e13925.
Sotskov, Y. N. (2023). Assembly and Production Line Designing, Balancing and Scheduling with Inaccurate Data: A Survey and Perspectives. Algorithms, 6(100), 43.
Kamati, W. V. H. (2024). Development of a Near Real-Time Early Warning Agricultural System for Disaster Prediction. Malaysian Journal of Computing, 9(1), 1706–1721.
Yilmazlara, I. O. (2020). A Case Study in Line Balancing and Simulation. Procedia Manufacturing, 48, 71–81.
Yuling Jiao, N. C. (2022). Balancing a U-Shaped Assembly Line with a Heuristic Algorithm Based on a Comprehensive Rank Value. Sustainability, 14(775), 13.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Siti Norhazlinda Roslan, Bulan Abdullah, Nor Hayati Saad, Razali Hassan, Siti Khadijah Alias

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.




