Optimal Selection of Complex Product Manufacturing Service Suppliers Based on Blockchain Technology

Xin Guo, Geng Zhang, Gang Wang, Yingfeng Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The rapid development of information technology is profoundly affecting the manufacturing industry. Compared to traditional manufacturing industry, the complex product manufacturing is of high complexity, and with large amount of manufacturing service suppliers, so complex product suppliers selection is of significant importance. This paper constructs a complex product manufacturing service suppliers selection model based on blockchain technology, providing a secure and efficient platform for information sharing and decision optimization. Moreover, a robust goal programming (RGP) method for selecting complex product manufacturing service suppliers under uncertain demand is proposed. Finally, the feasibility and effectiveness of the proposed method are verified through example.

Original languageEnglish
Title of host publication2024 4th International Conference on Computer Science and Blockchain, CCSB 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages556-560
Number of pages5
ISBN (Electronic)9798350356502
DOIs
StatePublished - 2024
Event4th International Conference on Computer Science and Blockchain, CCSB 2024 - Hybrid, Shenzhen, China
Duration: 6 Sep 20248 Sep 2024

Publication series

Name2024 4th International Conference on Computer Science and Blockchain, CCSB 2024

Conference

Conference4th International Conference on Computer Science and Blockchain, CCSB 2024
Country/TerritoryChina
CityHybrid, Shenzhen
Period6/09/248/09/24

Keywords

  • blockchain technology
  • complex product
  • manufacturing service suppliers
  • optimal
  • selection

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