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Empowering Supply Chain through Discrete-Event and Agent-Based Simulation – A Systematic Review and Bibliometric Analysis

机译:通过离散事件和基于代理的仿真增强供应链的能力–系统评价和文献计量分析

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Multiple strategies and theories have been formulated to improve supply chain and its constructs. Simulation and simulation related tools and techniques have recently been adopted widely to assess the future states of supply chain process designs. Among simulation techniques that are used to analyze discrete processes and any other individual entity’s behavior in a system, Discrete Event Simulation (DES), Agent-Based Simulation (ABS) are seen adopted frequently. This study has tabulated and systematized the researches on designing and improving the supply chain through the DES and ABS approach over the past 15 years (2005 – 2019). An integrated approach of a systematic review and bibliometric analysis of the Scopus database has been adopted to systematize the literature on this topic and also find out possible gaps and scope for future contribution to the body of literature. Around 120 research articles were finally obtained by strictly adhering to the keywords search under the subject area (Engineering). Scope for future studies has also been discussed at the end of the paper. The implications after integrating the systematic and bibliometric review bring forth numerous research gaps and scope for future directions. Authors suggest still other databases and search strategies could bring even more insights in the area of simulation and its application in the supply chain domain. The multi-method simulation approach is the current trend of the hour which has the capability to tackle any hybrid problem.
机译:已经制定了多种策略和理论来改善供应链及其结构。最近,与仿真和仿真相关的工具和技术已被广泛采用,以评估供应链流程设计的未来状态。在用于分析系统中离散过程和任何其他单个实体行为的仿真技术中,人们经常采用离散事件仿真(DES),基于代理的仿真(ABS)。这项研究将过去15年(2005年至2019年)通过DES和ABS方法设计和改善供应链的研究列表化并进行了系统化。已经采用了对Scopus数据库进行系统回顾和文献计量分析的综合方法,以使有关该主题的文献系统化,并找出可能的不足和对未来对文献体系做出贡献的范围。通过严格遵守主题领域(工程)下的关键词搜索,最终获得了约120篇研究文章。本文的末尾还讨论了未来研究的范围。整合系统和文献计量学评论后的含义带来了许多研究空白和未来方向的范围。作者建议,其他数据库和搜索策略还可以在仿真及其在供应链领域中的应用领域带来更多见解。多方法模拟方法是小时的当前趋势,具有解决任何混合问题的能力。

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