Abstract: To address the insufficient adaptability of traditional single-objective scheduling models for underground metal mines,a multi-objective scheduling optimization model for stoping equipment was constructed.The model takes the minimiza tion of the makespan and total inter-operation interval time as the optimization objectives and incorporates the actual working condition characteristics of equipment operating states and resource requirements in ore mining,haulage,and hoisting.To rea sonably transform the multi-objective scheduling problem into a solvable single-objective decision model,a multi-objective com prehensive weighting method based on the Analytic Hierarchy Process-Entropy Weight Method (AHP-EWM) was designed.By combining static weighting with dynamic weight adjustment,this method achieves precise weight configuration of multi-objective parameters.Taking the weighted single-objective comprehensive optimization model as the object to be solved,and considering the inherent shortcomings of traditional genetic algorithms,such as slow convergence and susceptibility to local optima,adaptive operators and a simulated annealing mechanism were introduced,and an Improved Genetic Simulated Annealing Algorithm (IGASA) was proposed.Case study results show that,compared with conventional scheduling methods,the proposed method reduces the makespan by 36.54% and the total inter-operation interval time by 38.13%,indicating significantly improved scheduling performance.Furthermore,to intuitively apply the obtained scheduling scheme to production management,a process architecture for a production scheduling digital twin system was proposed,which supports dynamic simulation and real-time mo nitoring of scheduling plans,thereby forming a complete technical chain of "weight configuration-model solving-visualization presentation" and providing a theoretical basis and technical support for constructing intelligent scheduling systems for under ground mines.

Key words: multi-objective scheduling,IGASA,EWM,underground metal mine,digital twin,stoping equipment,weight configuration