Simulation Optimization of Integrated Scheduling for Distributed Factory Collaborative Production and Transportation
Guo Qi
Wang Chuangjian
Abstract：In order to achieve balanced allocation of production capacity among multiple factories in a group enterprise and reduce operating costs,this study investigates an integrated scheduling problem for distributed factory collaborative production and transportation.A multi-agent simulation optimization model with the objectives of minimizing total cost and the makespan is established considering practical production characteristics.An improved NSGA-II algorithm is proposed for solution.The algorithm is based on order splitting,allocation,and processing,where a three-stage encoding structure is designed.Furthermore,simulation-based decoding is embedded to guide the action execution of each agent.A semi-random initialization mechanism is developed based on the characteristics of the problem to improve the quality of the initial solution,including three strategies:the number of split sub-orders,the scale of sub-orders,and factory allocation.In addition,a unique equal-probability insertion and splitting strategy is introduced.A multi-point crossover operator with an adjustment strategy is designed,while two specialized mutation operators are proposed considering the impact of sub-order scales on objectives.Finally,experiments are conducted through a real-word production scheduling case from a yeast group,and the results show that the proposed improved algorithm is effective and superior in solving the integrated scheduling problem.
Keywords：distributed factorycollaborative cooperationmulti-agent modelingsimulation optimization
Publication Date：2026-02-28
Online Publishing Date：2026-03-19(First online date of this platform, not the publication date of the document)
Pages：10( 145-154 )