Order scheduling and resource scheduling optimization method for temperature fuse flexible production

Abstract

This invention relates to the field of intelligent manufacturing and production optimization scheduling technology, specifically disclosing an order scheduling resource scheduling optimization method for flexible production of thermal fuses. The method includes: generating structured vectors by extracting inherent and dynamic features of orders; constructing a dynamic production scheduling environment model by integrating the time-series sequence of equipment resource status; calculating the comprehensive process switching cost and resource constraint tightness of orders; dividing orders into clusters through multi-objective constraint clustering and generating pre-scheduled sequences; completing key resource conflict early warning through time-series prediction; constructing a multi-objective scheduling model using order clusters as units; combining rolling optimization to solidify the planning baseline and generate forward-looking window schemes; and finally updating the model based on real-time execution data, adjusting through dynamic priority preemption and local rescheduling in case of anomalies. This solves the problems of high cost of small-batch mixed scheduling, delayed conflict identification, easy disruption of steady-state of thermally sensitive processes, and poor adaptation to compliance constraints, achieving synergistic optimization of scheduling efficiency, production yield, and compliance.

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