Integrated modeling and optimization of production planning and scheduling in hybrid flow shop for order production mode

Abstract

This paper studies the integration of production planning and scheduling in the forging process of small batch orders. Firstly, the demand for orders and the processing constraints of forging equipment are comprehensively considered. Then by integrating periodic requirements for orders, the cycle of production is assigned based on production status and inventory, and each cycle of production is independently scheduled, a two-level decision-making model for production planning and adjustment of hybrid flow shop for forging is established. Secondly, in order to realize the closed-loop integration of high-level planning and low-level scheduling, a particle swarm-genetic hybrid algorithm is proposed to obtain the feasible integrated solution of production planning and scheduling. Thirdly, through a large number of numerical experiments, the genetic algorithm parameters of scheduling layer are optimized and its optimization ability is verified, and the optimal results also show that the parameters improve the overall algorithm performance. Lastly, a case of hybrid flow workshop for forging is presented to demonstrate the practicability of the proposed model and algorithm.