Chunxia Yang1,*, Jie Ding1, Zicheng Wang1, Feng Liu2, Xiaojun Wang1
1Department of Vehicle and Transportation Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, Shanxi, China.
2China Railway 12th Bureau Group Real Estate Development Co., Ltd., Taiyuan 030024, Shanxi, China.
*Corresponding author: Chunxia Yang
Abstract
In the context of smart construction, the utilization rate of prefabricated components has witnessed a remarkable surge, leading to a gradual shift from on-site fabrication to prefabricated component factories. This transition has significantly improved both working environments and production efficiency. However, despite this progress, there remains a scarcity of research focusing on the production scheduling and management of prefabricated components, particularly in relation to the ever-increasing level of automation in the production process. This poses a challenge in meeting the new demands arising from the growing unmanned nature of prefabricated component production. To address this gap, this paper takes a specific pipe pile prefabrication plant as its research subject. By analyzing the unique characteristics of the production system, we have developed and designed an interactive production scheduling system based on the Job Shop Problem (JSP) optimization approach. This system not only provides intuitive guidance for production management but also facilitates the easy revision and optimization of scheduling plans. Through this comprehensive approach, we aim to enhance the efficiency and flexibility of prefabricated component production, ultimately contributing to the further advancement of smart construction practices.
References
[1] Kim, Taehoon, Yong-woo Kim, and Hunhee Cho. Dynamic production scheduling model under due date uncertainty in precast concrete construction [J]. Journal of Cleaner Production (2020): n. pag.
[2] Wang Z, Wang T, Hu H, et al. Blockchain-based framework for improving supply chain traceability and information sharing in precast construction [J]. Automation in Construction, 2020, 111(Mar.):103063.1-103063.13. DOI:10.1016/j.autcon.2019.103063.
[3] Babagolzadeh M, Shrestha A, Abbasi B, et al. Sustainable cold supply chain management under demand uncertainty and carbon tax regulation [J]. Transportation Research Part D: Transport and Environment, 2020, 80:102245.
DOI:10.1016/j.trd.2020.102245.
[4] Yazdani M, Kabirifar K, Fathollahi-Fard A, et al. Production scheduling of off-site prefabricated construction components considering sequence dependent due dates [J]. Environmental Science and Pollution Research International, 2021.
DOI:10.1016/j.eiar.2019.106358.
[5] José Coelho, Vanhoucke M. Going to the core of hard resource-constrained project scheduling instances [J]. Computers & Operations Research, 2020, 121:104976. DOI:10.1016/j.cor.2020.104976.
[6] Hauder V A, Beham A, Raggl S, et al. Resource-constrained multi-project scheduling with activity and time flexibility [J]. Computers & Industrial Engineering, 2020, 150(3):106857. DOI:10.1016/j.cie.2020.106857.
[7] Lee J, Park M, Lee H S, et al. Classification of Modular Building Construction Projects Based on Schedule-Driven Approach [J]. Journal of Construction Engineering and Management, 2019, 145(5):04019031.1-04019031.9.
DOI:10.1061/(ASCE)CO.1943-7862.0001656.
How to cite this paper
Research on the Production Scheduling System for Prefabricated Component Factories in Smart Construction
How to cite this paper: Chunxia Yang, Jie Ding, Zicheng Wang, Feng Liu, Xiaojun Wang. (2024). Research on the Production Scheduling System for Prefabricated Component Factories in Smart Construction. Engineering Advances, 4(3), 114-118.
DOI: https://dx.doi.org/10.26855/ea.2024.07.001