Bum-in has been proven effective in identifying and removing defective products before they are delivered to customers.Most existing bum-in models adopt a one-shot scheme,which may not be sufficient enough for identif...Bum-in has been proven effective in identifying and removing defective products before they are delivered to customers.Most existing bum-in models adopt a one-shot scheme,which may not be sufficient enough for identification.Borrowing the idea from sequential inspections for remaining useful life prediction and accelerated lifetime test,this study proposes a sequential degradation-based bum-in model with multiple periodic inspections.At each inspection epoch,the posterior probability that a product belongs to a normal one is updated with the inspected degradation level.Based on the degradation level and the updated posterior probability,a product can be disposed,put into field use,or kept in the test till the next inspection epoch.We cast the problem into a partially observed Markov decision process to minimize the expected total bum-in cost of a product,and derive some interesting structures of the optimal policy.Then,algorithms are provided to find the joint optimal inspection period and number of inspections in steps.A numerical study is also provided to illustrate the effectiveness of our proposed model.展开更多
From September 27 to October 13,the Department of Raw Materials Industry(Rare Earth Office)under the Ministry of Industry and Information Technology(MIIT),in collaboration with the Association Of China Rare Earth Indu...From September 27 to October 13,the Department of Raw Materials Industry(Rare Earth Office)under the Ministry of Industry and Information Technology(MIIT),in collaboration with the Association Of China Rare Earth Industry,organized experts to inspect and investigate some rare展开更多
基金The research is supported by the National Natural Science Foundation of China(Grant Nos.7180116&72071138 and 72071071)the Young Talent Support Plan of Hebei Province.
文摘Bum-in has been proven effective in identifying and removing defective products before they are delivered to customers.Most existing bum-in models adopt a one-shot scheme,which may not be sufficient enough for identification.Borrowing the idea from sequential inspections for remaining useful life prediction and accelerated lifetime test,this study proposes a sequential degradation-based bum-in model with multiple periodic inspections.At each inspection epoch,the posterior probability that a product belongs to a normal one is updated with the inspected degradation level.Based on the degradation level and the updated posterior probability,a product can be disposed,put into field use,or kept in the test till the next inspection epoch.We cast the problem into a partially observed Markov decision process to minimize the expected total bum-in cost of a product,and derive some interesting structures of the optimal policy.Then,algorithms are provided to find the joint optimal inspection period and number of inspections in steps.A numerical study is also provided to illustrate the effectiveness of our proposed model.
文摘From September 27 to October 13,the Department of Raw Materials Industry(Rare Earth Office)under the Ministry of Industry and Information Technology(MIIT),in collaboration with the Association Of China Rare Earth Industry,organized experts to inspect and investigate some rare
