Research on the Influence of Resource Allocation Uncertainty on Parallel Coupling Iteration Time

Abstract

Aiming at the problem that the uncertainty of resource allocation can lead to the increase of the parallel iteration time of the coupled task set, a parallel iteration time optimization model under the uncertainty of resource allocation was constructed based on the analysis of the resource allocation uncertainty and iteration time model in the parallel iteration. Then the analytic hierarchy process (AHP) was introduced, and by determining the AHP model and the resource allocation matrix, an improved parallel iteration time optimization model under the uncertain resource allocation was constructed. Combined with an example of product development process, application research was carried out by applying the MATALB software, thereby verifying that the improved optimization model can reduce the parallel iteration time of the coupled task set under uncertain resource allocation. This research provides a reference for optimizing resource allocation and reducing time in product design and development.