This study aimed to develop a multi-objective distant-water fisheries survey scheme that balances survey cost and effectiveness. Based on the survey data from 2021 to 2023 in Northwest Pacific Ocean, the relative abundance distribution of Scomber australasicus, Scomber japonicus, Sardinops melanostictus was simulated using Kriging interpolation, and assume relative resource as their ‘true' values. The effectiveness of the Simple random sampling （Design 1）, Systematic sampling （Design 2）, Stratified random sampling based on stratum area size allocation method （Design 3）, and Stratified random sampling based on fishery resource biomass allocation method （Design 4） was assessed through computer simulation. Two indicators, Relative estimation error （REE） and Relative bias （RB） were used to evaluate the accuracy of the assessment effects, and the number of sampling stations was selected using the Accuracy change rate （ACR）. The results showed that the estimation accuracy of the four sampling designs were different. In general, Design 4 had the highest accuracy, followed by Design 3, Design 2 and Design 1. The REE values of target species abundance index estimation of Design2 fluctuated with the increasing number of sampling stations. Design 4 exhibited higher accuracy in estimating the abundance index of S. japonicus, S. melanostictus and the total fishery resources. However, Design 4 demonstrated an overestimation in estimating the abundance index of Chub mackerel. Using Design 4 for simulated sampling, and considering all objectives, the optimal number of sampling stations could be set at 28. In conclusion, the Stratified sampling method （Design 4） can be prioritized as the survey station design approach for the Northwest Pacific Ocean fishery resource survey.