International conference on construction engineering and project management (국제학술발표논문집)

  • 2024.07a
  • /
  • Pages.56-62
  • /
  • 2024
  • /
  • 2508-9048(eISSN)
Korea Institute of Construction Engineering and Management (한국건설관리학회)
권호 표지
DOI QR코드

DOI QR Code

Multi-objective production scheduling of precast concrete based on reinforcement learning

  • Leting ZU (Department of Engineering Management, School of Management Science and Real Estate, Chongqing University) ;
  • Wenzhu LIAO (Department of Engineering Management, School of Management Science and Real Estate, Chongqing University)
  • Published : 2024.07.29
Download PDF
⟨ Previous Next ⟩

Abstract

To enhance energy efficiency and reduce emissions in prefabricated construction, optimizing the production scheduling of precast concrete is considered an effective approach. Due to the unique characteristics of precast concrete during production, traditional scheduling models are no longer applicable. This present study introduces practical considerations, such as a limited number of molds, buffers, uncertainty of order arrivals and vehicles. Furthermore, to meet the requirements of contemporary industrial development, a mulit-objective optimization scheduling model is formulated by integrating total processing time, on-time delivery rate and work station idle time. A solution based on reinforcement learning algorithm is devised. Results indicate that this method can effectively undergo training and achieve outstanding performance in addressing such issues. The model has the potential to significantly reduce decision-making time in precast production, thereby contributing to the sustainable development of prefabricated construction.

Keywords

References

  1. G. Tumminia, F. Guarino, S. Longo, et al. "Life cycle energy performances and environmental impacts of a prefabricated building module." Renewable and Sustainable Energy Reviews, vol. 92, pp. 272-283, 2018.
  2. J. Hong, G. Q. Shen, Z. Li, et al. "Barriers to promoting prefabricated construction in China: A cost-benefit analysis." Journal of Cleaner Production, vol. 172, pp. 649-660, 2018.
  3. V. Benjaoran, N. Dawood, B. Hobbs. "Flowshop scheduling model for bespoke precast concrete production planning." Construction Management and Economics, vol. 23, no. 1, pp. 93-105, 2005.
  4. J. Cao, P. Zhao, G. Liu. "Optimizing the production process of modular construction using an assembly line-integrated supermarket." Automation in Construction, vol. 142, p. 104495, 2022.
  5. Z. Yang, Z. Ma, S. Wu. "Optimized flowshop scheduling of multiple production lines for precast production." Automation in Construction, vol. 72, pp. 321-329, 2016.
  6. Z. Wang, H. Hu. "Improved Precast Production -Scheduling Model Considering the Whole Supply Chain." Journal of Computing in Civil Engineering, vol. 31, no. 4, p. 04017013, 2017.
  7. Y. R. Dan, G. W. Liu, Y. Fu. "Optimized flowshop scheduling for precast production considering process connection and blocking." Automation in Construction, vol. 125, p. 103575, 2021.
  8. W. Niu, J. Li. "A two-stage cooperative evolutionary algorithm for energy-efficient distributed group blocking flow shop with setup carryover in precast systems. "Knowledge-Based Systems, vol. 257, p. 109890, 2022.
  9. B. Anvari, P. Angeloudis, W. Y. Ochieng. "A multi-objective GA-based optimisation for holistic Manufacturing, transportation and Assembly of precast construction." Automation in Construction, vol. 71, pp. 226-241, 2016.
  10. T. Kim, Y. W. Kim, D. Lee, et al. "Reinforcement learning approach to scheduling of precast concrete production." Journal of Cleaner Production, vol. 336, p. 130419, 2022.
  11. Z. L. Ma, Z. T. Yang, S. L. Liu, S. Wu. "Optimized rescheduling of multiple production lines for flowshop production of reinforced precast concrete components." Automation in Construction, vol. 95, pp. 86-97, 2018.
  12. Z. Wang, H. Hu, J. Gong. "Modeling worker competence to advance precast production scheduling optimization." Journal of Construction Engineering and Management, vol. 144, no. 11, p. 04018098, 2018.
  13. M. H. Ruan, F. Xu. "Improved eight-process model of precast component production scheduling considering resource constraints." Journal of Civil Engineering and Management, vol. 28, no. 3, pp. 208-222, 2022.