Dynamic production scheduling model under due date uncertainty in precast concrete construction

Taehoon Kim, Yong woo Kim, Hunhee Cho

Research output: Contribution to journalArticle

Abstract

Precast concrete structures (PCs) are widely used in the construction industry to reduce project delivery times and improve quality. On-time delivery of PCs is critical for successful project completion because the processes involving precast concrete are the critical paths in most cases. However, existing models for scheduling PC production are not adequate for use in dynamic environments where construction projects have uncertain construction schedules because of various reasons such as poor labor productivity, inadequate equipment, and poor weather. This research proposes a dynamic model for PC production scheduling by adopting a discrete-time simulation method to respond to due date changes in real time and by using a new dispatching rule that considers the uncertainty of the due dates to minimize tardiness. The model is validated by simulation experiments based on various scenarios with different levels of tightness and due date uncertainty. The results of this research will contribute to construction project productivity with a reliable and economic precast concrete supply chain.

Original languageEnglish
Article number120527
JournalJournal of Cleaner Production
Volume257
DOIs
Publication statusPublished - 2020 Jun 1

Keywords

  • Dispatching rule
  • Dynamic simulation
  • Precast concrete production
  • Production scheduling
  • Uncertainty

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Environmental Science(all)
  • Strategy and Management
  • Industrial and Manufacturing Engineering

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