供应链分析:调查文献-实践视角和研究机会

IF 1.9 4区管理学 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE

Naval Research Logistics Pub Date : 2022-01-01 DOI:10.23773/2022_7

Sebastian Lodemann, Sandra Lechtenberg, Kevin Wesendrup, B. Hellingrath, K. Hoberg, W. Kersten

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引用次数: 1

摘要

在不断增长的数据量和成熟技术的支持下，大数据分析为各个领域和应用提供了可行的、有前途的改进。供应链分析(SCA)，将大数据分析应用于供应链管理，可以在大多数公司中增强和创新供应链流程和服务。为了获得这样的好处，供应链管理人员必须克服各种障碍，包括确定适当的方法、数据和应用案例。从业人员实际利用SCA潜在价值的程度仍不确定。本研究旨在综合SCA维度的科学和实践观点:目标和动机、方法、数据和应用领域。为此，本研究采用多声文献回顾法(MLR)和调查法。该研究回顾了1481份出版物，并咨询了278名受访者，揭示了SCA的6个不同目标和7个动机。此外，还研究了描述性、预测性和说明性分析以及在不同应用程序领域中支持SCA的许多不同数据类型。科学和实践观点之间的交叉分析确定了一些差距，例如缺乏特定的数据使用、SCA成熟度较低，或者显示学术研究未来路径的研究领域不饱和。

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Supply Chain Analytics: Investigating Literature-Practice Perspectives and Research Opportunities

Supported by ever-increasing amounts of data and maturing technologies, big data analytics offers viable, promising improvements for various ﬁelds and applications. Supply chain analytics (SCA), the application of big data analytics to supply chain management, can enhance and innovate supply chain processes and services in most companies. To reap such beneﬁts, supply chain managers must overcome various obstacles, including the identiﬁcation of appropriate methods, data, and application cases. The degree to which the potential value of SCA actually is being harnessed by practitioners remains uncertain. The study aims to synthesize scientiﬁc and practical perspectives regarding the SCA dimensions: goal and motivation, method, data, and application area. For this purpose the research applies a multi-vocal literature review (MLR) and a survey approach. The study reviews over 1481 publications and consults 278 respondents to reveal six different goals and seven motivations for SCA. Moreover, descriptive, predictive, and prescriptive analytics and many different data types enabling SCA within different application areas are examined. The cross-analysis between scientiﬁc and practical perspectives identiﬁes several gaps, such as lack of speciﬁc data usage, low practical SCA maturity, or undersaturated research areas that show future paths of academic research.

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来源期刊

Naval Research Logistics 管理科学-运筹学与管理科学

CiteScore

4.20

自引率

4.30%

发文量

审稿时长

8 months

期刊介绍： Submissions that are most appropriate for NRL are papers addressing modeling and analysis of problems motivated by real-world applications; major methodological advances in operations research and applied statistics; and expository or survey pieces of lasting value. Areas represented include (but are not limited to) probability, statistics, simulation, optimization, game theory, quality, scheduling, reliability, maintenance, supply chain, decision analysis, and combat models. Special issues devoted to a single topic are published occasionally, and proposals for special issues are welcomed by the Editorial Board.