Research on hybrid-load AGV dispatching problem for mixed-model automobile assembly line

Lixiang Zhang, Yaoguang Hu*, Yu Guan

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

26 Citations (Scopus)

Abstract

Automobile industry has marched into an age of mass customization, and begun to use mixed-model assembly lines. The demand for materials in each assembly station is constantly changing. To meet with the demand, this paper proposes a hybrid-load AGV dispatching model, which allocates different types of AGVs for different sizes of materials. With an attempt to minimize the total cost of logistics system, the genetic algorithm is employed to solve a real problem and analyze this model. The results indicate that hybrid-load AGV dispatching model is better than single-load or multi-load model for mixed-model automobile assembly lines.

Original languageEnglish
Pages (from-to)1059-1064
Number of pages6
JournalProcedia CIRP
Volume81
DOIs
Publication statusPublished - 2019
Event52nd CIRP Conference on Manufacturing Systems, CMS 2019 - Ljubljana, Slovenia
Duration: 12 Jun 201914 Jun 2019

Keywords

  • AGV
  • Automobile assembly lines
  • Dispatching
  • Genetic algorithm
  • Hybrid-load

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