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基于虚拟矩阵的地区虚拟联盟研究与实现
Research and Implementation of Regional Virtual Alliance Based on Virtual Matrix

DOI: 10.12677/MSE.2023.125082, PP. 685-697

Keywords: 区域化,地区虚拟联盟,虚拟矩阵,语言变量,多级模糊系统
Regionalization
, Regional Virtual Alliance, Virtual Matrix, Linguistic Variable, Multi-Level Fuzzy System

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Abstract:

随着全球一体化的产业链和供应链逐渐变得碎片化和区域化,地区化物流需求不断增长。中小企业由于资源受限,无法独立完成跨国物流作业,因此和地区内的海外物流企业进行纵向合作是一个有效的解决途径。本文提出一种适用于区域化环境的地区虚拟联盟合作组织模型。该模型基于电子化联系,采用虚拟矩阵结构,以电子化信息系统作为一体化关键。与传统联盟和一般虚拟组织相比,该模型的绩效控制机制有助于增强组织协调能力,从而使地区物流网络组织更加稳定。在物流链节点的实时信息交换中,使用基于物联网技术的物流应用,可以进一步强化电子化信息系统作为绩效控制机制的重要组成部分。此外,该模型引入了语言变量和多级模糊系统对影响因素进行综合评价,使其更具实用性。该模型为中小型物流企业以低成本进行跨国物流网络建设提供了有价值的参考。
As global industry and supply chains become increasingly fragmented and regionalized, the demand for regionalized logistics continues to grow. Due to limited resources, small and medium- sized enterprises cannot independently complete cross-border logistics operations, so sequential cooperation with overseas logistics companies within the region is an effective solution. This paper proposes a regional virtual alliance cooperation organization model applicable in a restricted environment. The model adopts a virtual matrix structure based on electronic contacts, using electronic information systems as key integrations. Compared with traditional alliances and general virtual organizations, the performance control mechanism of this model helps enhance organizational coordination, making the regional logistics network organization more stable. Furthermore, in the real-time information exchange at logistics chain nodes, the use of logistics applications based on Internet of Things technology can further strengthen the role of electronic information systems as an important component of performance control mechanisms. Furthermore, by using of linguistic variables and multi-level fuzzy systems, this model is more practical for comprehensive evaluation of influencing factors. It provides a valuable reference for small and medium-sized logistics enterprises to build a low-cost cross-border logistics network.

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