考虑偏好不确定的合作性单元制造优化研究

企业为加速产品的迭代更新,可采取合作生产及研发制造一体化的战略。该研究在产品设计方面考虑顾客偏好的动态变化和竞争产品的影响,在生产方面引入单元化制造资源合作共享思想。通过建立考虑顾客偏好不确定的合作性单元制造模型,以最大化单位成本所带来的顾客效用为目标,提升消费者福祉。提出了混合候鸟优化算法(HMBO)进行求解,并将它与经典候鸟优化算法(MBO)和模拟退火算法(SA)进行了比较。算例及大量数值实验验证了该方法的正确性和合理性,结果表明在相同运行时间内HMBO优于MBO和SA。

Optimization for cooperative cellular manufacturing considering preference uncertainty

In order to speed up the iterative renewal of products, enterprises can adopt the strategy of cooperative production as well as integrated research and manufacturing. This study considered the dynamic changes of customer preferences and the impact of competitive products in the aspect of product design, and introduced the idea of resource cooperation and shared of cellular manufacturing in the aspect of production. It established a cooperative cellular manufacturing model considering the uncertainty of customer preference with the objective of maximizing the customer utility per unit cost, so as to improve the welfare of consumers. This work also proposed a hybrid migrating birds optimization(HMBO) for solving this model. The proposed HMBO was compared with the classical migrating birds optimization(MBO) and simulated annealing(SA). A typical example and extensive numerical experiments verify the correctness and rationality of the method, and the results show that HMBO is superior to MBO and SA within the same runtime.