A multi-mode resource-constrained project scheduling model with bi-random coefficients for drilling grouting construction project

To improve the construction efficiency of the Longtan Hydropower Project, this paper studies the multi-mode resource-constrained project scheduling problem in its Drilling Grouting Construction Project. A multiple objective decision making model with hi-random coefficients is first proposed for this practical problem to cope with hybrid uncertain environment where twofold randomness exists. Subsequently, to deal with the uncertainties, the chance constraint operator is introduced and the equivalent crisp model is derived. Furthermore, the particular nature of our model motivates us to develop particle swarm ptimization algorithm for the equivalent crisp model. Finally, the results generated by computer highlight the performances of the proposed model and algorithm in solving large-scale practical problems.