Dynamic schedule model and algorithm optimization method for linear engineering projects

Abstract

Linear engineering projects require careful consideration of multiple construction scenarios. These scenarios include linear, bar and block activities, with the direction and velocity of linear activities varying, as well as the number of construction teams involved. Resource constraints further complicate scheduling. To address these challenges, a two-stage dynamic scheduling model was developed in this study. The first stage involved selecting a scheduling strategy based on available resources to meet the project deadline, while the second involved developing two cost-effective models to determine the best plan. To optimize the model, a hybrid algorithm incorporating an elite strategy, an adaptive operator and a catastrophe operator was established. The capabilities of the proposed model were demonstrated through several application examples, highlighting the benefits of improved consideration of construction scenarios in linear engineering. Overall, the model’s ability to identify a reasonable range of resource allocations highlights its effectiveness in optimizing linear engineering project schedules.

KEYWORDS:

• Linear engineering project
• dynamic scheduling
• construction options
• linear scheduling method
• hybrid algorithm

Disclosure statement

No potential conflict of interest was reported by the authors.

Availability of data and materials

The data that support the findings of this study are available in 4TU ResearchData at 10.4121/20480076.

Additional information

Funding

This work was supported by the Natural Science Foundation of China [grant number 71942006]; and China Railway Corporation [grant number K2022G002].