Proactive Production Scheduling Approach for Off-Site Construction with Due Date Uncertainty

Taehoon Kim, Yong Woo Kim

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This study proposes a robust precast concrete (PC) production scheduling model for PC construction projects with schedule uncertainty by adopting a proactive scheduling approach. The proposed model consists of a PC production simulation module that simulates and evaluates the total tardiness of the schedule at a certain confidence level with contractor schedule uncertainty and a GA-based production schedule optimization module that finds an optimal schedule through iterative schedule generation and evaluation using a PC production simulation module. The experimental study shows that the proposed model can find the best schedule with 303.8 h of tardiness at a 100% confidence level, followed by NEHedd 324.7 h, basic GA 328.5 h, and EDD 335.8 h. The results of this study will help PC production schedulers to perform robustly despite contractors’ schedule changes and will thus contribute to the successful completion of PC construction projects.

Original languageEnglish
Article number11017
JournalApplied Sciences (Switzerland)
Volume14
Issue number23
DOIs
StatePublished - Dec 2024

Keywords

  • due date uncertainty
  • genetic algorithm
  • off-site construction
  • precast concrete
  • proactive production scheduling approach

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