Data-Driven Inventory Management Solution for Procurement and Supply Chain of Utility Company
Data-Driven Inventory Management Solution for Procurement and Supply Chain of Utility Company
复制标题
公用事业公司采购和供应链的数据驱动库存管理解决方案
DOI：
10.2139/ssrn.3582428
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
N. A. Abu Bakar
中科院分区：
文献类型：
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作者：
N. A. Abu Bakar
采购和供应链管理 (SCM) 中的高效库存管理解决方案对于确保国家公用事业公司 (NUC) 这样的大公司的名义营运资金和提高盈利能力发挥着至关重要的作用。然而，在马来西亚NUC，公用事业仓库的SCM流程仍然是手动完成的。这导致了各种材料管理和存储问题，例如供应商和客户之间的需求不匹配、资源利用效率低下和项目延误。因此，本文旨在回顾数据驱动解决方案、库存管理解决方案的研究，并提出一种基于商业智能框架的数据驱动库存管理新模型。本研究首先对供应链和库存管理概念与大数据业务解决方案时代的当前实践进行文献回顾分析。接下来是开发数据驱动的采购和供应链库存管理模型。因此，这个新模型证实了最佳实践的五个主要见解，包括库存可见性管理、物料调度的健康前景、库存分类和细分、需求预测和服务水平规划。本文的结论是，利用 BI 平台可以将手动仓库管理数字化转变为数据驱动的库存管理，从而为类似于公用事业公司的大公司提供更多的业务洞察。
An efficient inventory management solution in procurement and supply chain management (SCM) plays a vital role in ensuring the nominal working capital and increasing profitability in a large company like National Utility Company (NUC). However, in Malaysian NUC, the SCM process in utility goods warehouse is still done manually. This caused various materials administration and storage issues such as mismatch demand between supplier and customers, inefficient resource utilization and project delay. Therefore, this paper aims to review studies in data-driven solution, inventory management solution and proposes a new data-driven inventory management model based on the business intelligence framework. This study starts with a literature review analysis of supply chain and inventory management concept with current practice in the big data business solution era. This is followed by the development of data-driven inventory management model for procurement and supply chain. As a result, this new model corroborates five major insights for best practice including inventory visibility management, the healthy outlook in material scheduling, inventory classification and segmentation, demand forecasting and service level planning. This paper concludes that the manual warehouse management can be digitally transformed into data-driven inventory management by leveraging on the BI platform which able to provide more business insights to a large company similar to the utility company.