工业元素周期表:基于门捷列夫元素周期表模仿的合作机会检测

Ibrahim Koura, F. Bénaben, J. Gou, Audrey Fertier
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引用次数: 0

摘要

在这些高度竞争的商业环境中,当试图适应和改进企业时,协作网络的概念最近经常被用作答案,因此迫切需要不断解决这个主题。到目前为止,已经完成了许多与协作网络相关的工作,从定义网络类型到平衡伙伴关系以及为伙伴关系发展提出模型。但是,缺乏解决一个非常重要的障碍,即难以发现和预测企业之间的合作机会,启发了这项研究。本文提出了一种基于企业特征概念、KPI分类和协作类型的新的理论机会检测方法。这种检测方法是从概念的角度模仿门捷列夫元素周期表的工业分类表。通过一个来自工业环境的虚构示例来解释这种方法的使用,并讨论了未来的工作和局限性。
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The Periodic Table of Industries: Detection of Collaboration Opportunities Based on an Imitation of the Mendeleev Periodic Table of Elements
The concept of collaborative networks has been encountered very often lately as the answer when trying to adapt and improve enterprises in these highly competitive business environments, therefore the urge for constantly addressing this topic. A lot of work-related to collaborative networks has been done so far, from defining network types to leveling partnerships and proposing models for partnership developments. But the lack of tackling a very important obstacle, which is the difficulty of detecting and anticipating collaboration opportunities between enterprises, inspired this research. In this article, a new theoretical opportunity detection approach is proposed based on enterprise characterization concept, KPI classification as well as collaboration types. This detection approach is a table of industrial classifications that imitates the Mendeleev periodic table from the concept point of view. A fictional example from an industrial context is shown to explain the usage of this approach accompanied by discussion about future work and limitations.
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