Methodology for construction-standard-production-rate-based simulation modeling and production-rate data generation

While implementing a construction project, production-rate assessment needs to be conducted throughout the different stages of the project because this assessment can determine the success or failure of the project. In South Korea, the construction-standard-production-rate (CSPR) is used for determining the production-rate of individual construction equipment. However, CSPR cannot provide the production-rate of activities considering a combination of more than two different types of equipment (eg, excavator and dump truck used for excavation-load-haul activities). Having ready-made data on such production-rates of different equipment combinations would be beneficial for determining and optimal fleet management plan. Furthermore, such data can be beneficial for implementing optimized scheduling methods using supervised-learning methods. Accordingly, simple discrete event simulation approaches were carried out for data generation and regression analysis for testing the feasibility of the usage of such data. The time inputs used in this study were calculated based on the equations and information given in the CSPR.

Automated summary

Production-rate assessment is crucial for the success of a construction project, and the use of construction-standard-production-rate (CSPR) in South Korea is limited to individual equipment. This study aims to generate data on production-rates of different equipment combinations and test the feasibility of using such data for optimized fleet management and scheduling methods. The research uses discrete event simulation and regression analysis based on CSPR equations and information to achieve these goals.