Green optimization for precast production rescheduling based on disruption management

Abstract

The advancement of prefabricated buildings has become a prominent trend in the construction sector. Disturbance events as a significant obstacle to the production of prefabricated components, restricting the realization of green, efficient, and sustainable advantages in prefabricated construction. This study examines how different disturbance events can affect precast production rescheduling and the selection of rescheduling schemes based on different carbon emissions scenarios. To attain dynamic disruption management while simultaneously considering carbon emissions in production, a three-layer scheduling disruption management model which includes two production lines is established, which seeks to minimize the maximum completion time, the earliness and tardiness penalty, and carbon emissions. Then an improved non-dominated sorting genetic optimization algorithm is devised to tackle the proposed model. Furthermore, two scenarios, specifically increased PC production types and advanced PC due dates, are explored to accurately depict real-life production environments. A case study is subsequently utilized to validate the efficacy of the proposed model. The disruption management rescheduling model result in cost savings of 16.5% and 50%, as well as carbon emissions reductions of 1.5% and 9.1%, respectively. The empirical findings from the case study reveal that both the developed model and the refined algorithm are practical and efficient. This research contributes to the development of rescheduling schemes for prefab manufacturers, addressing both customer satisfaction and demands for green production, ultimately improving overall project performance.