Identifying dynamical instabilities in supply networks using generalized modeling
Identifying dynamical instabilities in supply networks using generalized modeling
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DOI：
10.1002/joom.1005
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发表时间：
2019-03-01
影响因子：
7.8
通讯作者：
Gross, Thilo
中科院分区：
文献类型：
--
作者：
Demirel, Guven;MacCarthy, Bart L.;Gross, Thilo
供应网络需要表现出稳定性，才能保持运转。在这里，我们应用广义建模（GM）的方法，这在动力系统的分析有很强的血统，研究现实世界的供应网络的稳定性。它超越了纯粹的结构网络分析方法，纳入了物质流，这是供应网络的定义特征。该分析侧重于物流之间的相互作用网络，提供了新的概念，以捕捉生产和库存政策的关键方面。我们提供了两个对比现实世界的网络的稳定性分析，一个工业发动机制造商和一个行业级的网络在奢侈品行业。我们强调了与供应商的联系的重要性，这些联系涉及零件或子组件的调度、加工和返回，涉及从共同供应商到下游共同公司的单独路径的循环图案，以及特定节点上不同最终产品的竞争需求。基于我们的研究结果在供应链管理文献的背景下进行了批判性的讨论，我们产生了五个命题，以提高知识和理解供应网络的稳定性。我们讨论的命题的有效管理，控制和发展的供应网络的影响。全球机制的方法能够快速筛选，以查明广泛的供应网络中隐藏的脆弱性。
Supply networks need to exhibit stability in order to remain functional. Here, we apply a generalized modeling (GM) approach, which has a strong pedigree in the analysis of dynamical systems, to study the stability of real-world supply networks. It goes beyond purely structural network analysis approaches by incorporating material flows, which are defining characteristics of supply networks. The analysis focuses on the network of interactions between material flows, providing new conceptualizations to capture key aspects of production and inventory policies. We provide stability analyses of two contrasting real-world networksthat of an industrial engine manufacturer and an industry-level network in the luxury goods sector. We highlight the criticality of links with suppliers that involve the dispatch, processing, and return of parts or sub-assemblies, cyclic motifs that involve separate paths from a common supplier to a common firm downstream, and competing demands of different end products at specific nodes. Based on a critical discussion of our findings in the context of the supply chain management literature, we generate five propositions to advance knowledge and understanding of supply network stability. We discuss the implications of the propositions for the effective management, control, and development of supply networks. The GM approach enables fast screening to identify hidden vulnerabilities in extensive supply networks.