Business Intelligence for Improving Supply Chain Risk Management

被引：5

作者：

Liu, Lingzhe ^{[1
]}

Daniels, Hennie ^{[2
]}

Hofman, Wout ^{[3
]}

机构：

[1] Erasmus Univ, Rotterdam Sch Management, NL-3062 PA Rotterdam, Netherlands

[2] Tilburg Univ, CentER, NL-5037 AB Tilburg, Netherlands

[3] TNO, Tech Sci, NL-2612 CT Delft, Netherlands

来源：

ENTERPRISE INFORMATION SYSTEMS, ICEIS 2013 | 2014年 / 190卷

关键词：

Risk management; Supply chain exceptions; Business intelligence; Collaboration; TRUST;

D O I：

10.1007/978-3-319-09492-2_12

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The risk management over a supply chain has to be founded on the management controls in each of the partner companies in the chain. Inevitably, the business relationship and operations dependence bind the control efforts of partner companies together. This proposes challenges for supply chain risk management and at the same time for the BI application. In this paper we analyse the management control situations where business intelligence technology can be applied and describe the concepts of systematic risk analysis to improve the management controls, based on causal analysis of business exceptions. The analysis process is driven by diagnostic drill-down operations following the equations of the information structure in which the data are organised. Using business intelligence, the analysis method can generate explanations supported by the data. A "risk template'' is provided to assist analysts to fully comprehend the risk scenario in the practical business setting, so as to evaluate and re-design the existing controls, and to apply BI for management improvement.

引用

页码：190 / 205

页数：16

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