摘要
作为一种新的生产模式,赛汝生产(SERU production)因其响应快、柔性高、效率高的优势在佳能、索尼等电子产品制造企业被广泛采用并取得很好的效果,也因此引起了学术界的广泛关注.赛汝生产系统运作至少包括赛汝生产系统构建和调度两个关键决策过程,而且这两个决策过程都是NP难问题.为了降低计算复杂度,大多数已有研究都是对赛汝生产系统构建和调度进行单独决策,但赛汝生产系统构建和调度的单独决策无法产生全局最优解.为获得全局最优解,需要联合决策赛汝生产系统构建和调度.本文从赛汝生产系统构建与调度的单独决策、纯赛汝生产系统构建与调度的联合决策、混合赛汝生产系统构建与调度的联合决策三个方面,介绍和总结了赛汝生产系统构建和调度的研究进展,展望了未来的相关研究方向.
As a new production model,SERU production has been widely adopted by electronic companies such as Canon and Sony and has achieved good results due to its advantages of quick response,good flexibility and high efficiency.Also,SERU production has received extensive attention by academic.The operational management of SERU production system includes two key decision-making processes,i.e.,SERU formation and SERU scheduling.Both of them are NP-hard problems.For the simplicity,most of the researches are to decide SERU formation or SERU scheduling.However,the only one decision of SERU formation or SERU scheduling cannot obtain the global optimal solution.To obtain the global optimal solution,joint decision on SERU formation and SERU scheduling are considered.This paper reviews the researches on SERU formation and SERU scheduling from three aspects:the separate decisions on SERU formation and SERU scheduling,the joint decision on SERU formation and SERU scheduling of pure SERU production system,the joint decision on SERU formation and SERU scheduling of hybrid SERU production system.Finally,future researches on the SERU formation and SERU scheduling are classified and provided.
作者
于洋
李晓龙
崔思国
YU Yang;LI Xiaolong;CUI Siguo(State Key Laboratory of Synthetic Automation for Process Industries,Institute of Intelligent Data and System Engineering,Northeastern University,Shenyang 110819,China;68 Detachment,93383 Troops of the Chinese People's Liberation Army,Mudanjiang 157023,China)
出处
《系统工程理论与实践》
EI
CSSCI
CSCD
北大核心
2021年第2期465-474,共10页
Systems Engineering-Theory & Practice
基金
国家自然科学基金(71420107028)。
关键词
赛汝生产
系统构建
赛汝调度
联合决策
研究进展
SERU production
SERU formation
SERU scheduling
joint decision
research agenda