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Supply chain data integration: A literature review
Journal of Industrial Information Integration ( IF 15.7 ) Pub Date : 2020-07-15 , DOI: 10.1016/j.jii.2020.100161
António A.C. Vieira , Luís M.S. Dias , Maribel Y. Santos , Guilherme A.B. Pereira , José A. Oliveira

Supply chains (SCs) are dynamic networks subject to uncertainties and risks that may occur anywhere, anytime, and whose consequences affect the entities that comprise such SC, possibly affecting others. In fact, there are several examples wherein the occurrence of certain events resulted in considerable costs. Thus, it is important to ensure that SCs can apply preemptive measures, rather than just react to disruptions that may occur. Simulation tools may play an important role in achieving this, as these tools may be used to test alternative scenarios, as well as to quantify the impact of risks. To fully exploit this possibility, simulation tools should be used as data integration tools, so that the aforementioned analysis can be conducted using data from several relevant sources, thereby improving the quality of such analysis. In this regard, this paper proposes a Systematic Literature Review (SLR) of simulation methods that deal with risks in SCs, with particular emphasis on the type of data integration employed by such works. The obtained results show that researchers tend to simplify the problem at hand, without modeling their entire complexity, and failing to properly integrate data from the involved processes. The analyzed works’ compliance with Industry 4.0 (I4.0) revealed similar conclusions, as it was found that studies tend to disregard some of the main features of simulation in I4.0. In light of the obtained findings, literature gaps are identified, and future research directions are proposed.



中文翻译:

供应链数据集成:文献综述

供应链(SC)是动态网络,存在随时随地可能发生的不确定性和风险,其后果会影响组成此类SC的实体,并可能影响其他实体。实际上,存在几个示例,其中某些事件的发生导致了可观的成本。因此,重要的是要确保SC可以采取先发制人的措施,而不仅仅是对可能发生的中断做出反应。仿真工具可能在实现这一目标中发挥重要作用,因为这些工具可用于测试替代方案以及量化风险影响。为了充分利用这种可能性,应该使用仿真工具作为数据集成工具,以便可以使用来自多个相关来源的数据进行前述分析,从而提高了这种分析的质量。在这方面,本文提出了一种处理SC中风险的仿真方法的系统文献综述(SLR),特别着重于此类工作采用的数据集成类型。获得的结果表明,研究人员倾向于简化当前的问题,而不用对它们的整体复杂性进行建模,也不能正确地集成所涉及流程中的数据。被分析的作品是否符合工业4.0(I4.0)得出了相似的结论,因为发现研究倾向于忽略I4.0中模拟的一些主要特征。根据获得的发现,确定文献空白,并提出未来的研究方向。获得的结果表明,研究人员倾向于简化当前的问题,而不用对它们的整体复杂性进行建模,也不能正确地集成所涉及流程中的数据。被分析的作品是否符合工业4.0(I4.0)得出相似的结论,因为发现研究倾向于忽略I4.0中模拟的一些主要特征。根据获得的发现,确定文献空白,并提出未来的研究方向。获得的结果表明,研究人员倾向于简化当前的问题,而不用对它们的整体复杂性进行建模,也不能正确地集成所涉及流程中的数据。被分析的作品是否符合工业4.0(I4.0)得出了相似的结论,因为发现研究倾向于忽略I4.0中模拟的一些主要特征。根据获得的发现,确定文献空白,并提出未来的研究方向。

更新日期:2020-07-15
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