• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 61 Issue 3
Jun.  2026
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Article Contents
HU Junyi, ZHANG Zeqiang, LIU Silu, HE Zongxing, YANG Feng. Classification, Status, and Prospects of Transfer Line Balancing Problems[J]. Journal of Southwest Jiaotong University, 2026, 61(3): 954-974. doi: 10.3969/j.issn.0258-2724.20260064
Citation: HU Junyi, ZHANG Zeqiang, LIU Silu, HE Zongxing, YANG Feng. Classification, Status, and Prospects of Transfer Line Balancing Problems[J]. Journal of Southwest Jiaotong University, 2026, 61(3): 954-974. doi: 10.3969/j.issn.0258-2724.20260064

Classification, Status, and Prospects of Transfer Line Balancing Problems

doi: 10.3969/j.issn.0258-2724.20260064
  • Received Date: 31 Jan 2026
  • Rev Recd Date: 19 Apr 2026
  • Publish Date: 23 Apr 2026
  • The transfer line balancing problem (TLBP) is widely applied in the production process of structural components in high-volume manufacturing. By reasonably allocating each processing element of parts to the machine tools in each workstation, efficient and balanced production of machining production lines is achieved. The research on TLBP is of great significance for improving product processing efficiency, quality, and output, as well as reducing comprehensive costs. TLBP has been studied for 27 years. However, due to the particularity of the problem and the complexity of the process, the models and solution methods for assembly line and disassembly line balancing problems cannot be directly applied to solving TLBP. As a result, the research on this problem has not received sufficient attention, and the existing literature is limited. Despite its long research history, there is still no systematic review in China that sorts out its past, current, and future development context. Therefore, a hierarchical-tuple composite representation method was adopted to systematically analyze the problem. The in-depth analysis and multi-dimensional display were conducted on the three key levels composing the problem framework: the level of problem structure types, the level of problem system configuration, and the level of problem decision support. A structured panoramic view of the field was provided, and the current research status was clarified. The research blind spots were refined, and possible future research directions were pointed out.

     

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