配送物流中供应链可视性的挑战

IF 0.5 Q4 ECONOMICS
Stephan L. K. Freichel, Pia Rütten, Johannes K. Wörtge
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引用次数: 0

摘要

目的:复杂的供应链是当今经济生活的特征,这是由不确定性和风险决定的。成功地管理这些需要在信息透明的基础上发展有弹性和灵活的结构和进程,从而能够更好地决策,特别是在全球危机时期。在这种情况下,供应链可见性(SCV)被定义为利益相关者获得准确和及时的货物流动信息的能力。尽管科学文献和实践已经讨论了供应链价值的重要性,但挑战仍然阻碍了供应链价值的改进,特别是在配送物流方面。这些几乎没有被调查过。本研究的目的是确定SCV在配送物流中的挑战,并提供解决这些挑战的建议。方法:采用26篇科学论文的定性内容分析(QCA)。结果:我们发现,在流程、技术和信息系统不当、缺乏沟通和信任、监控和决策指标不足的三个总体维度中,存在阻碍配送物流中SCV的挑战。研究结果表明,信任既可以被视为挑战,也可以被视为先决条件。尽管有数字化的可能性,但手工流程和新技术实施之间存在权衡。决策可以基于个人经验,由于未定义的度量标准,监控可能很困难。结论:从业者可以使用这些发现来更好地识别和解决SCV在分销物流中的挑战。进一步的研究可以通过实证研究来扩展这些发现,这将允许从业者评估他们的SCV水平并得出初步的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Challenges of supply chain visibility in distribution logistics
Purpose: Complex supply chains characterise today's economic life, which is determined by uncertainties and risks. Managing those successfully requires the development of resilient and flexible structures and processes based on information transparency, which enables better decision-making, especially in times of global crises. In this context, supply chain visibility (SCV) is defined as the stakeholders' capability to have access to accurate and timely information about the flow of goods. Although the importance of SCV has been discussed in scientific literature and practice, challenges still inhibit improved SCV, particularly in distribution logistics. These have been scarcely investigated. The purpose of this study is to identify the challenges of SCV in distribution logistics and to provide implications to address them. Methodology: A qualitative content analysis (QCA) spanning 26 scientific articles was used. Results: We found evidence of challenges inhibiting SCV in distribution logistics within the three aggregated dimensions of inappropriate processes & technologies and information systems, lack of communication & trust, and insufficient monitoring & decision-making metrics. The findings show that trust can be seen as both a challenge and a prerequisite. Despite the possibilities of digitalisation, there exist trade-offs between manual processes and new technology implementation. Decision-making can be based on individual experiences, and monitoring can be difficult due to undefined metrics. Conclusion: Practitioners may use the findings to better identify and address the challenges of SCV in distribution logistics. Further studies could extend the findings through empirical studies, which would allow practitioners to assess their level of SCV and derive initial solutions.
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Ekonomski Vjesnik
Ekonomski Vjesnik ECONOMICS-
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