Purpose of Review

The forest industry has deployed systems of information and communication technology to improve the productivity of forest supply chains. In this sense, the digitalization of data flows significantly impacts wood supply chains, from forest to mills, which must react flexibly to market fluctuations of forest products. The goal of this study was to conduct a literature review on data flow implementations in management systems of wood supply chains and to evaluate their applicability in supply chains to analyze the opportunities for improving them in practice.

Recent Findings

We utilized the ScienceDirect database, Scopus, and Web of Science in order to document data flows in systems and actual applications. Due to ongoing outsourcing, the wood procurement chains and the wood supply chains were identified in the forest industry. In addition to industrial wood data, several different data collection technologies can be implemented in wood supply chains to digitalize the forest data depending on the specific needs of organizations. In this regard, the digitalization of big data causes significant changes in available data elements of practical operations that are integrated and standardized in the optimization and simulation systems.

Summary

A modeling guide is suggested for accurate dynamic solution of problems of forest logistics. Then, the opportunities in digitalization for connecting different data flows, technologies, and stakeholders are discussed thoroughly. We conclude that data-driven dynamic optimization and locally implemented digitalization contribute to wood supply modeling in the ongoing establishment of standards for cloud-based platforms because modeling time-related and sequential measures will ensure successful forest logistics through planning and monitoring wood supply chains.

中文翻译：

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数字化期间的森林供应链：当前的实施和近期的前景

审查目的

森林工业部署了信息和通信技术系统，以提高森林供应链的生产力。从这个意义上说，数据流的数字化极大地影响了从森林到工厂的木材供应链，这些供应链必须对林产品的市场波动做出灵活的反应。本研究的目的是对木材供应链管理系统中的数据流实施进行文献综述，并评估其在供应链中的适用性，以分析在实践中改进它们的机会。

最近的发现

我们利用 ScienceDirect 数据库、Scopus 和 Web of Science 来记录系统和实际应用程序中的数据流。由于持续的外包，木材采购链和木材供应链在林业中得以确定。除了工业木材数据外，还可以根据组织的具体需求在木材供应链中实施几种不同的数据收集技术，以将森林数据数字化。在这方面，大数据的数字化导致优化和模拟系统中集成和标准化的实际操作的可用数据元素发生重大变化。

概括

为准确动态解决森林物流问题提出了建模指南。然后，深入讨论了连接不同数据流、技术和利益相关者的数字化机会。我们的结论是，数据驱动的动态优化和本地实施的数字化有助于持续建立基于云的平台标准的木材供应建模，因为对时间相关和连续的措施进行建模将通过规划和监控木材供应链确保成功的森林物流。