Research on lean supply chain network model based on node removal

被引：9

作者：

Zhao, Peixin ^{[1
]}

Yin, Shengnan ^{[1
]}

Han, Xue ^{[1
]}

Li, Zhuyue ^{[1
]}

机构：

[1] Shandong Univ, Sch Management, Jinan 250100, Shandong, Peoples R China

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2021年 / 567卷

基金：

国家教育部科学基金资助; 中国国家自然科学基金;

关键词：

Node removal; Supply chain network model; Network robustness; Memetic algorithm; MEMETIC ALGORITHM; PERFORMANCE; ROBUSTNESS; MANAGEMENT; ATTACKS;

D O I：

10.1016/j.physa.2020.125556

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

With the development of economic globalization, the competition among enterprises is increasingly intensified. Many industries have innovated and reformed their supply chains to reduce the structural complexity and enhance their competitive advantage. Since the large number and diversity of nodes are the main reasons for the structural complexity, the lean of supply chain network models is realized by node removal in this paper: a node removal cost model is presented innovatively, and then a memetic algorithm is proposed based on the principles of resource finiteness, structural leanness and network robustness. Compared with some other heuristic algorithms, the effectiveness and efficiency of this algorithm are illustrated by some numerical examples. This research will provide a methodological reference for the lean of supply chain structure. (C) 2020 Elsevier B.V. All rights reserved.

引用

页数：14

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