Collaborative optimization of layout and cutting scheduling for large-scale customized metal structural parts.

ABSTRACT: Exploring the collaborative optimization mechanism of layout and cutting scheduling is a key scientific problem that enterprises must solve urgently. To balance the makespan, delay penalty, and sheet utilization rate for large scale customized metal structural parts, a two-stage model is proposed to cooperatively optimize the layout and cutting scheduling of rectangular metal structural parts, considering the processing characteristics. A layout model is established at the first stage to maximize the sheet utilization. Focusing on the sequence of sheet metal processing and machine selection, a mathematical model is formulated to minimize the makespan and delay penalty at the second stage. The layout problem at Stage 1 can be solved by the Improved Grey Wolf Optimizer (IGWO) algorithm. Base

SUBMITTER: Meng R 

PROVIDER: S-EPMC12540750 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature