Research on Multiple Products Aggregate Production Planning under Random Environment

Uncertain factors can significantly reduce the applicability of production plans and the production stability of enterprises. Therefore, considering the uncertain factors caused by external demands and internal capabilities, the impact of production in advance or backorder is analyzed, and the cost of backorder and loss of sales is determined. Moreover, a multi-objective stochastic programming model for aggregate production planning (APP) problem that minimizes the expected chance cost and employee instability is constructed considering external demand and internal capabilities as random variables. At a certain level of confidence, the opportunity constraints are transformed. In addition, combined with a local search strategy, two stochastic hybrid genetic algorithm-particle swarm optimization algorithms based on stage and multiple population strategies are designed to solve this model. Sensitivity analysis is performed on different confidence levels by using numerical examples, and numerical experiments show that the two hybrid algorithms proposed by this paper can effectively improve the solving efficiency. © (2024), (International Association of Engineers). All Rights Reserved.