Innovative Solutions for High School Inventory Management: An Information System Approach
DOI:
https://doi.org/10.70356/josapen.v2i2.35Keywords:
Inventory Management, Information System, High SchoolsAbstract
This paper explores the development and implementation of an innovative information system designed to enhance inventory management in high schools. Traditional inventory methods, often reliant on manual tracking, are prone to errors and inefficiencies, which can hinder resource allocation and decision-making. By adopting an information system approach, schools can automate processes, improve data accuracy, and provide real-time access to inventory information. The study outlines key features such as real-time tracking, automated alerts, and role-based access controls, which are critical to the system's effectiveness. The results demonstrate significant improvements in workflow efficiency, data accuracy, and overall resource management. Despite the challenges associated with system implementation, including cost and training requirements, the benefits make this approach a compelling solution for modernizing high school inventory practices. The paper concludes with recommendations for broader adoption and further research to optimize these systems for educational settings.
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J. Chandramohan, R. P. Asoka Chakravarthi, and U. Ramasamy, “A comprehensive inventory management system for non-instantaneous deteriorating items in supplier- retailer-customer supply chains,” Supply Chain Anal., vol. 3, no. February, p. 100015, 2023, doi: 10.1016/j.sca.2023.100015.
E. Nobil et al., “Sustainability inventory management model with warm-up process and shortage,” Oper. Res. Perspect., vol. 12, no. December 2023, 2024, doi: 10.1016/j.orp.2024.100297.
M. Li, X. Jiang, J. Carroll, and R. R. Negenborn, “Operation and maintenance management for offshore wind farms integrating inventory control and health information,” Renew. Energy, vol. 231, no. July, p. 120970, 2024, doi: 10.1016/j.renene.2024.120970.
Y. Guo, F. Liu, J.-S. J. Song, and S. Wang, “Supply Chain Resilience: A Review from the Inventory Management Perspective,” SSRN Electron. J., 2023, doi: 10.2139/ssrn.4393061.
M. Palanivel, M. Venkadesh, and S. Vetriselvi, “A comprehensive inventory management model with weibull distribution deterioration, ramp-type demand, carbon emission reduction, and shortages,” Supply Chain Anal., vol. 7, no. February, p. 100069, 2024, doi: 10.1016/j.sca.2024.100069.
P. Chotwanvirat, A. Prachansuwan, P. Sridonpai, and W. Kriengsinyos, “Automated Artificial Intelligence–Based Thai Food Dietary Assessment System: Development and Validation,” Curr. Dev. Nutr., vol. 8, no. 5, p. 102154, 2024, doi: 10.1016/j.cdnut.2024.102154.
K. Londhe, N. Dharmadhikari, P. Zaveri, and U. Sakoglu, “Enhanced Travel Experience using Artificial Intelligence: A Data-driven Approach,” Procedia Comput. Sci., vol. 235, pp. 1920–1928, 2024, doi: 10.1016/j.procs.2024.04.182.
M. Q. Kheder and A. A. Mohammed, “Real-time traffic monitoring system using IoT-aided robotics and deep learning techniques,” Kuwait J. Sci., vol. 51, no. 1, p. 100153, 2024, doi: 10.1016/j.kjs.2023.10.017.
H. Parhizkar et al., “Jo ur l P re of,” Build. Environ., p. 110984, 2023, doi: 10.1016/j.abst.2024.08.002.
M. A. Musarat, A. M. Khan, W. S. Alaloul, N. Blas, and S. Ayub, “Automated monitoring innovations for efficient and safe construction practices,” Results Eng., vol. 22, no. December 2023, p. 102057, 2024, doi: 10.1016/j.rineng.2024.102057.
K. Dennert, L. Friedrich, and R. Kumar, “Creating an Affordable, User-Friendly Electronic Inventory System for Lab Samples,” SLAS Technol., vol. 26, no. 3, pp. 300–310, 2021, doi: 10.1177/2472630320973594.
S. Khorana, S. Caram, and N. P. Rana, “Measuring public procurement transparency with an index: Exploring the role of e-GP systems and institutions,” Gov. Inf. Q., vol. 41, no. 3, p. 101952, 2024, doi: 10.1016/j.giq.2024.101952.
H. El-Sofany, S. A. El-Seoud, O. H. Karam, B. Bouallegue, and A. M. Ahmed, “A proposed secure framework for protecting cloud-based educational systems from hacking,” Egypt. Informatics J., vol. 27, no. September 2023, p. 100505, 2024, doi: 10.1016/j.eij.2024.100505.
E. Carroni, M. Delogu, and G. Pulina, “Technology adoption and specialized labor,” Int. Econ., vol. 173, no. January, pp. 249–259, 2023, doi: 10.1016/j.inteco.2023.01.003.
S. Li, H. Zhou, Y. Yan, W. Han, and J. Ren, “Reliability and sensitivity analysis of loop-designed security and stability control system in interconnected power systems,” Glob. Energy Interconnect., vol. 5, no. 5, pp. 501–511, 2022, doi: 10.1016/j.gloei.2022.10.004.
Z. Yihui, “Design of cloud data storage security and financial risk control management early warning system based on sensor networks,” Meas. Sensors, vol. 32, no. February, p. 101064, 2024, doi: 10.1016/j.measen.2024.101064.
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