摘要
针对设备状态可直接或间接检测获得的生产系统,提出柔性作业车间调度和视情维修的联合策略,决策变量分别为调度序列与视情维修序列,并建立两者的联合决策模型。进而根据联合策略,推导了相应的概率密度函数。通过数值分析,对比联合决策与独立决策的优化结果,表明了所建模型的有效性,并进行设备劣化参数的敏感度分析,验证了模型的正确性。
For production system whose equipment state can be directly or indirectly detected,a joint strategy of flexible job shops scheduling and condition-based maintenance is proposed.The decision variables are scheduling sequence and condition based maintenance sequence,and the joint decision model is established.Furthermore,according to the joint strategy,the corresponding probability density function is deduced.In numerical analysis,the comparison of the optimization results of joint decision and independent decision shows the effectiveness of the model,and the sensitivity analysis of equipment deterioration parameters verifies the correctness of the model.
作者
甘婕
王磊
吴燕汝
张晓红
GAN Jie;WANG Lei;WU Yanru;ZHANG Xiaohong(Division of Industrial and System Engineering,School of Economics and Management,Taiyuan University of Science&Technology,Taiyuan 030024,China;Research Center for Innovation and Development of Equipment Manufacturing Industry,Taiyuan 030024,China)
出处
《运筹与管理》
CSSCI
CSCD
北大核心
2023年第1期85-89,共5页
Operations Research and Management Science
基金
国家自然基金资助项目(71701140)
山西省自然科学基金项目(201801D121166,201801D121170)
山西省高等学校科技创新项目(201802091)
山西省高等学校人文社会科学重点研究基地项目(20210102)
山西省重点研发计划项目(201703D111011)。
关键词
柔性作业车间调度
视情预防性维修策略
联合决策
联合概率密度函数
flexible job shops scheduling
condition-based maintenance strategy
joint decision
joint probability density function
