Improving Capacity Utilisation in Bread Processing Factories Using the BLOCPLAN Algorithm
Keywords:
Activity Relationship Chart, BLOCPLAN, Factory Layout, OptimizationAbstract
Numerous factors are causing small and medium enterprises (SMEs) to close at an alarming rate worldwide. The faulty manufacturing and management setup made the system costly and wasteful. Detailed research into the causes of these collapses made the factory layout issue important to this study. This research aims to examine the current floor plans for bakeries to increase capacity utilization, enhance the production efficiency for the firms, and increase profit using the BLOCPLAN (Block Layout Overview with Layout Planning) algorithm software. Measured and recorded were the rectilinear distances between the manufacturing workstations at three bakeries situated in Warri, Nigeria. This was achieved by closely monitoring the production process and using a stopwatch. The initial production area was determined in square metres by measuring and recording the length and width of the manufacturing equipment. The rectilinear distances for Bakery A, B, and C are 13.9, 17.4, and 21.1 metres, respectively, based on measurements. For bakeries A, B, and C, the associated production throughput times were 48 minutes, 76 minutes, and 81.5 minutes, respectively. 987.92 m2, 1,088.46 m2, and 786.434 m2 make up the combined production areas of bakeries A, B, and C. Using the BLOCPLAN, 20 iterations were carried out at each bakery, and the iteration with the best R-score for each bakery was deployed as the best alternative layout. The R-Score results were 0.81, 0.64, and 0.91 for bakeries A, B, and C respectively. As a result, the effectiveness of bakeries A, B, and C received a boost of 58.3%, 52.8%, and 67.3%. The results obtained from this work show that optimizing the facility layout of a typical bread production factory using the BLOCPLAN technique could increase production capacity and improve overall system performance.
References
Ahmadi-Javid, A., & Ardestani-Jaafari, A. (2021). The unequal area facility layout problem with shortest single-loop AGV path: how material handling method matters. International Journal of Production Research, 59(8), 2352–2374. https://doi.org/10.1080/00207543.2020.1733124
Azhar, K. M. (2021). Shopfloor Layout design Using BLOCPLAN algorithm to reduce Waste Transportation activities on Biofertilizer products (Case Study: PT. Centra Biotech Indonesia) (Issue 17522217). Universitas Islam Indonesia Yogyakarta.
Garcia, E. F., Zúñiga, E. R., Bruch, J., Moris, M. U., & Syberfeldt, A. (2018). Simulation-based Optimization for Facility Layout Design in Conditions of High Uncertainty. Procedia CIRP, 72, 334–339. https://doi.org/10.1016/J.PROCIR.2018.03.227
Halawa, F., Madathil, S. C., & Khasawneh, M. T. (2021). Multi-objective unequal area pod-structured healthcare facility layout problem with daylight requirements. Computers and Industrial Engineering, 162. https://doi.org/10.1016/j.cie.2021.107722
Imanullah, H., Heryani, H., & Nugroho, A. (2021). Analysis of Bread Production Facilities Layout using BLOCPLAN Algorithm. Jurnal Teknologi Dan Manajemen Agroindustri, 10(2), 172–181.
Kubalík, J., Kurilla, L., & Kadera, P. (2023). Facility Layout Problem with Alternative Facility Variants. Applied Science, 13(5032), 124–134. https://doi.org/10.3390/app13085032
Liu, J., Liu, J., Yan, X., & Peng, B. (2020). A heuristic algorithm combining Pareto optimization and niche technology for multi-objective unequal area facility layout problem. Engineering Applications of Artificial Intelligence, 89. https://doi.org/10.1016/j.engappai.2019.103453
Mallikarjuna, K., Veeranna, V., & Reddy, K. H. (2016). A new meta-heuristics for optimum design of loop layout in flexible manufacturing system with integrated scheduling. Int J Adv Manuf Technol, 84(9), 1841–1860. https://doi.org/10.1007/s00170-015-7715-9
Mohamadi, A., Ebrahimnejad, S., & Tavakkoli-Moghaddam, R. (2018). A novel two-stage approach for solving a bi-objective facility layout problem. International Journal of Operational Research, 31(1), 49–87. https://doi.org/10.1504/IJOR.2018.088557
Pourvaziri, H., Salimpour, S., Akhavan Niaki, S. T., & Azab, A. (2022). Robust facility layout design for flexible manufacturing: a doe-based heuristic. International Journal of Production Research, 60(18), 5633–5654. https://doi.org/10.1080/00207543.2021.1967500
Puspita, I. A., Iqbal, M., Pratami, D., & Pratomo, A. (2017). Production facility layout design using blocplan algorithm. Advanced Science Letters, 23(5), 3917–3920. https://doi.org/10.1166/ASL.2017.8260
Sharma, M., & Mor, A. (2015). Method to Generate Activity Relationship Chart in Facility Layout Problems. International Journal Of Scientific Progress and Research (IJSPR), 13(3), 104–106.
Siregar, I., Syahputri, K., & Sari, R. M. (2020). Production facility design improvement with BLOCPLAN algorithm. 2020 4th International Conference on Electrical, Telecommunication and Computer Engineering, ELTICOM 2020 - Proceedings, 40–43. https://doi.org/10.1109/ELTICOM50775.2020.9230501
Vitayasak, S., Pongcharoen, P., & Hicks, C. (2019). Robust machine layout design under dynamic environment: Dynamic customer demand and machine maintenance. Expert Systems with Applications: X, 3. https://doi.org/10.1016/j.eswax.2019.100015
Yang, Z., & Lu, W. (2023). Facility layout design for modular construction manufacturing: A comparison based on simulation and optimization. Automation in Construction, 147, 104713. https://doi.org/10.1016/J.AUTCON.2022.104713