优化资产管理:基于风险的库存外包和资产管理信息系统方法

Muhammad Syaeful Fajar, Gus Nanang Syaifuddiin, Nisa'ul Hafidhoh, MH. Ramdhani Ismar, Maulana Nur Ivansyah
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引用次数: 0

摘要

有效管理地区资产对于高效的政府管理和社区服务至关重要。适当的资产管理可确保地区财产管理的透明度、效率和问责制,支持政府的主要任务和职能。高效的资产管理使地方政府有能力为地区发展提供资金,并增强公众对国家财政管理的信心。信息技术的快速发展带来了独特的挑战,尤其是在教育机构的资产管理方面。本研究的重点是在基于网络的资产管理信息系统中实施基于风险的资产管理(RBAM)方法。RBAM 按风险等级对申请进行分类,生成月度数据分析,并帮助预测物品库存数量。整合后的 RBAM 预计将提高库存管理效率,改善对需求波动的响应能力。本期刊介绍了与实施 RBAM 相关的研究成果,旨在提高政府背景下的资产管理绩效。本研究采用了适合软件工程研究的研究与开发方法。开发过程采用瀑布模型,确保了软件开发过程的结构化。该系统简化了项目数据管理和报告要求,加强了设施库存管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing Asset Management: A Risk-Based Approach with Inventory Outsourcing and Asset Management Information System
Effective management of regional assets is crucial for efficient government administration and community service delivery. Proper asset management ensures transparency, efficiency, and accountability in regional property management, supporting key tasks and functions of the government. Efficient asset management empowers local governments to fund regional development and enhances public confidence in state finance management. The rapid development of information technology presents unique challenges, especially in asset management within educational institutions. This study focuses on implementing the Risk-Based Asset Management (RBAM) method in a Web-Based Asset Management Information System. RBAM categorizes requests by risk levels, generates monthly data analysis, and aids in anticipating item stock quantities. The integrated RBAM is expected to enhance inventory management efficiency, improving responsiveness to demand fluctuations. This journal presents research findings related to RBAM implementation, aiming to enhance asset management performance in the government context. The study employs the Research and Development method, fitting for software engineering research. The development utilizes the waterfall model, ensuring a structured software development process. The system streamlines item data management, reporting requests, enhancing facility inventory management.
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