中文摘要：

为满足工厂—车间一体化管理需求,研究了不确定可重入定点装配车间生产计划与调度集成优化问题。在分析车间装配特点的基础上,利用期望值描述不确定可重入情况,建立了双层生产计划与调度集成优化随机期望值模型,上层为能力约束的生产计划模型,下层为不确定可重入定点装配车间调度模型。提出了一种具有双层结构的交替迭代式改进遗传算法,上层用精英遗传算法求解生产计划,代入下层后采用基于随机模拟技术的遗传模拟退火算法求解生产调度,然后将调度结果返回上层重新求解新计划,如此不断交替迭代以实现计划与调度的同时优化。通过算例仿真验证了模型及算法的有效性。为制定不确定可重入定点装配车间生产计划与调度提供了一种合理可行的方法。

英文摘要：

To meet the demand of integration management between plants and workshops,the integrated optimization of production planning and scheduling for fixed-position assembly workshop with uncertain re-entrance was studied.Based on analyzing the assembly characteristic of workshop,the value of expectation was used to describe the uncertainty of re-entrance,and a bi-level stochastic expected value model of integrated production planning and scheduling was presented,in which the upper-level was a production planning model with capacity restriction and the lower-level was a scheduling model of fixed-position assembly workshop with uncertain re-entrance.An alternant iterative method with a bi-level structure by modified genetic algorithm was proposed.Elite genetic algorithm was applied to solve the problem of production planning in the upper-level,and the genetic simulated annealing algorithm based on stochastic simulation was applied to solve the problem of scheduling in the lower-level.The production plan was obtained in the upper-level firstly and then put into the lower-level to get the schedule,and the schedule was then putinto the upper-level to get the new plan.By such alternant iterative process,the optimization of production planning and scheduling was achieved simultaneously.The result of simulation examples indicated that the proposed model and algorithm were effective,which provided a feasible method to make the production planning and scheduling for fixed-position assembly workshop with uncertain re-entrance.