Research on lean supply chain network model based on node removal

Peixin Zhao, Shengnan Yin, Xue Han and Zhuyue Li

Physica A: Statistical Mechanics and its Applications, 2021, vol. 567, issue C

Abstract: 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.

Keywords: Node removal; Supply chain network model; Network robustness; Memetic algorithm (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:567:y:2021:i:c:s0378437120308542

DOI: 10.1016/j.physa.2020.125556

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