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
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
收藏
页数:14
相关论文
共 50 条
  • [31] An optimisation model for cloud-based supply chain network design: case study in the banking industry
    Hajipour, Vahid
    Niaki, Seyed Taghi Akhavan
    Rahbarjou, Mohammad
    INTERNATIONAL JOURNAL OF COMMUNICATION NETWORKS AND DISTRIBUTED SYSTEMS, 2021, 27 (02) : 119 - 146
  • [32] Blockchain Network Model to Improve Supply Chain Visibility based on Smart Contract
    Mukhtar, Arwa
    Romli, Awanis
    Mohd, Noorhuzaimi Karimah
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2020, 11 (10) : 76 - 82
  • [33] A model proposal for green supply chain network design based on consumer segmentation
    Coskun, Semih
    Ozgur, Leyla
    Polat, Olcay
    Gungor, Askiner
    JOURNAL OF CLEANER PRODUCTION, 2016, 110 : 149 - 157
  • [34] Improving supply chain performance: The strategic integration of lean and agile supply chain
    Banihashemi, Seyyed Ali
    AFRICAN JOURNAL OF BUSINESS MANAGEMENT, 2011, 5 (17): : 7557 - 7563
  • [35] Trends of Research on Supply Chain Resilience: A Systematic Review Using Network Analysis
    Rha, Jin Sung
    SUSTAINABILITY, 2020, 12 (11)
  • [36] Contribution of lean production to the resilience of the Brazilian automotive supply chain
    Fogliatto, Flavio Sanson
    Tortorella, Guilherme Luz
    Saurin, Tarcisio Abreu
    Furlan, Andrea
    Galeazzo, Ambra
    PRODUCTION PLANNING & CONTROL, 2024,
  • [37] Lean Supply Chain: Take an Opportunity to do More with Less
    Cvetic, Biljana
    Vasiljevic, Dragan
    Novakovic, Jelena
    Dordevic, Andela
    TEHNICKI GLASNIK-TECHNICAL JOURNAL, 2021, 15 (02): : 275 - 281
  • [38] The development of a lean, agile and leagile supply network taxonomy based on differing types of flexibility
    Purvis, Laura
    Gosling, Jonathan
    Naim, Mohamed M.
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2014, 151 : 100 - 111
  • [39] Integrating lean, resilient, and sustainable practices in supply chain network: mathematical modelling and the AUGMECON2 approach
    Shafiee, Mohammad
    Mehrjerdi, Yahia Zare
    Keshavarz, Marzieh
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS, 2022, 9 (04) : 451 - 471
  • [40] The Impact of Supply Chain ESG Management on Supply Chain Resilience With Emerging IT Technologies: Based on Supply Chain Network Capabilities
    Zhou, Yuan
    Zhang, Nan
    Wu, Chia-Huei
    Wang, Yifan
    Zhang, Xiaoyi
    Zhang, Da
    JOURNAL OF ORGANIZATIONAL AND END USER COMPUTING, 2024, 36 (01)