Improvement of Inbound Logistics Process in Coconut Manufacturing Using FlexSim Simulation: A Case Study
Article Sidebar
Main Article Content
Abstract
This research focuses on improving the inbound logistics process in coconut manufacturing by employing simulation techniques using the FlexSim software tool. Data of the processes were collected and validated to generate the simulation model. Multiple scenarios were proposed, analyzed, and assessed against the key performance metrics, including throughput, work in process (WIP), stay time, and resource utilization. All scenarios were generated depending on the number of work centers for each process. The findings indicated that Scenario 3, Scenario 4, and Scenario 7 offered higher average throughput with 384.73, 384.60, and 384.73 units, respectively, and Scenario 7 provided the most efficient average WIP with 53.01 units and average stay time with 1263.7 seconds. Resource utilization was moderate across all scenarios. It is recommended to adopt strategies similar to Scenario 7 for optimizing inbound logistic case study. Nevertheless, real-world validation is necessary to ensure the implementation. The study contributes valuable insights to decision-makers in the coconut manufacturers. It serves as a basis for future research in logistics optimization, utilizing simulation techniques to enhance manufacturing performance and competitiveness.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Article Accepting Policy
The editorial board of Thai-Nichi Institute of Technology is pleased to receive articles from lecturers and experts in the fields of business administration, languages, engineering and technology written in Thai or English. The academic work submitted for publication must not be published in any other publication before and must not be under consideration of other journal submissions. Therefore, those interested in participating in the dissemination of work and knowledge can submit their article to the editorial board for further submission to the screening committee to consider publishing in the journal. The articles that can be published include solely research articles. Interested persons can prepare their articles by reviewing recommendations for article authors.
Copyright infringement is solely the responsibility of the author(s) of the article. Articles that have been published must be screened and reviewed for quality from qualified experts approved by the editorial board.
The text that appears within each article published in this research journal is a personal opinion of each author, nothing related to Thai-Nichi Institute of Technology, and other faculty members in the institution in any way. Responsibilities and accuracy for the content of each article are owned by each author. If there is any mistake, each author will be responsible for his/her own article(s).
The editorial board reserves the right not to bring any content, views or comments of articles in the Journal of Thai-Nichi Institute of Technology to publish before receiving permission from the authorized author(s) in writing. The published work is the copyright of the Journal of Thai-Nichi Institute of Technology.
References
A. J. G. Simoes and C. A. Hidalgo, “Fresh/Dried Coconuts,” The Observatory of Economic Complexity (OEC), Rep. HS: 080110, Aug. 2023. [Online]. Available: https://oec.world/en/profile/hs/freshdried-coconuts
S. Chawla and R. M. Singari, “Modelling and simulation of crankcase cover manufacturing in the automobile industry,” J. Sci. Ind. Res., vol. 82, pp. 597–602, Jun. 2023.
B. Santhosh Kumar, V. M., and B. Satish Kumar, “Modeling and analysis of flexible manufacturing system with FlexSim,” Int. J. Comput. Eng. Res., vol. 5, no. 10, pp. 1–6, Oct. 2015.
G. Jidong et al., “Improvement of a furniture production line based on Flexsim” in Proc. Int. Conf. Ind. Eng. and Operations Manage., Harbin, China, Jul. 2021, pp. 133–143.
D. Liu, Y. Pan, and L. Li, “Logistics engineering simulation using computer 3D modeling technology,” J. Phys.: Conf. Ser., vol. 2143, 2021, Art. no. 012018. doi: 10.1088/1742-6596/2143/1/012018.
S. Wang, S. Wang, and N. Zhang, “FlexSim-based simulation and optimization of green logistics distribution center,” in Proc. 14th Int. Conf. Comput. Model. and Simul., Chongqing, China, Jun. 2022, pp. 76–82.
U. S. Kumar and Y. S. Narayan, “Productivity improvement in a windows manufacturing layout using Flexsim simulation software,” Int. J. Res. Advent Technol., vol. 3, no. 9, pp. 86–90, Sep. 2015.
W. Liu and J. Lin, “Research on simulation and optimization of production line based on FlexSim,” Forest Chemical Rev., no. July-August 2022, pp. 1969–1985, May 2022.
N. Ononiwu, M. Macharia, and M. Al-Ali, “Application of discrete event simulation in industrial sectors: A case study,” Int. J. Adv. Eng. Manage. Sci., vol. 2, no. 10, pp. 1751–1757, Oct. 2016.
D. A. Pathak, “Improvement of manufacturing process by simulation technique: A case study” Int. J. Adv. Sci. Technol., vol. 4, no. 4, pp. 54–60, Jan. 2012.
N. Samattapapong, “Productivity improvement of tapioca packing process through simulation modeling analysis,” in Proc. 5th Int. Conf. Ind. Eng. and Appl., Singapore, Singapore, Apr. 2018, pp. 453–457.
S. Luscinski and V. Iwanov, “A simulation study of industry 4.0 factories based on the ontology on flexibility with using FlexSim software,” Manage. Prod. Eng. Rev., vol. 11, no. 3, pp. 74–83, Sep. 2020.
N. Medan, “Modelling and simulating a technological flow using the FlexSim application,” Scientific Bull. Ser. C: Fascicle Mechanics, Tribology, Mach. Manuf. Technol., vol. 35, pp. 62–66, 2021.
K. Zhang, “Logistics simulation and optimization design of car coating production line based on FlexSim,” Sci. J. Intell. Syst. Res., vol. 3, no. 7, pp. 1–7, 2021.
M. Krynke, “Manufacturing capacity management by using modern simulation tools,” Syst. Saf.: Human – Tech. Facility – Environ., vol. 3, no. 1, pp. 129–138, May 2021.
R. Poloczek and B. Oleksiak, “Modeling and simulating production process with the use of the FlexSim method,” Metalurgija, vol. 62, no. 3-4, pp. 484–487, 2023.
A. A. Asante, M. Yin, C. K. Abbew, and D. Nyumuteye, “Optimizing the operational process of a cold chain fruit pack house,” Afr. J. Eng. Res., vol. 7 no. 3, pp. 64–73, 2019.
N. A. Hassan, A. I. Arogundade, U. B. Iyenagbe, and D. I. Musa, “Simulation and analyses of shea nuts (Vitallaria paradoxa) processing plant using FlexSim©,” J. Future Sustainability, vol. 3, no. 2, pp. 67–74, 2023.
H. Min and Q. Yang, “Study on modeling and simulation of production logistics system based on FlexSim,” Academic J. Manuf. Eng., vol. 16, no. 2, pp. 149–156, 2018.
J. Yuan and R. Zhang, “Analysis and optimization of bottlenecks via simulation,” in Proc. IEEE Int. Conf. Ind. Eng. and Eng. Manage., Bangkok, Thailand, Dec. 2018, pp. 1879–1883.
N. Samattapapong, “An efficiency Improvement in warehouse operation using simulation analysis,” IOP Conf. Ser.: Mater. Sci. and Eng., vol. 273, 2017, Art. no. 012013, doi: 10.1088/1757-899X/245/1/012013.
N. Samattapapong, V. D. Cadenet, and P. Thongman, “Production sequence using simulation techniques: Case study of mineral production plants for dairy cow,” in Proc. 11th Annu. Int. Conf. Ind. Eng. and Oper. Manage., Singapore, Singapore, Mar. 2021, pp. 650–659.
M. Krynke, “Personnel management on the production line using the FlexSim simulation environment,” Manuf. Technol., vol. 21, no. 5, pp. 657–667, 2021.