Joint optimization of production,maintenance,and quality control considering the product quality variance of a degraded system  

作　　者：Xiaolei LV Liangxing SHI Yingdong HE Zhen HE Dennis K.J.LIN 

机构地区：[1]CollegeofManagementandEconomics,TianjinUniversity,Tianjin 300072,China [2]Laboratory of Computation and Analytics of Complex Management Systems(CACMS),Tianjin University,Tianjin 300072,China [3]Department of Statistics,Purdue University,West Lafayette,IN 47907,USA

出　　处：《Frontiers of Engineering Management》2024年第3期413-429,共17页工程管理前沿（英文版）

基　　金：supported by National Natural Science Foundation of China(Grant Nos.72101177,72231005,72261147706,and 72371183);State Administration of Science,Technology and Industry for National Defense,China(Grant Nos.JSZL2021204B001,and JSZL2022204B005);Tianjin Natural Science Foundation(Grant No.22JCQNJC01190).

摘　　要：The joint optimization of production,maintenance,and quality control has shown effectiveness in reducing long-term operational costs in production systems.However,existing studies often assume that changes in the mean value of product quality characteristics in a deteriorating system follow a specific distribution while keeping variance constant.To address this limitation,we propose an innovative method based on the continuous ranking probability score(CRPS).This method enables the simultaneous detection of changes in mean and variance in nonconformities,thus removing the assumption of a specific distribution for quality characteristics.Our approach focuses on developing optimal strategies for production,maintenance,and quality control to minimize cost per unit of time.Additionally,we employ a stochastic model to optimize the production time allocated to the inventory buffer,resulting in significant cost reductions.The effectiveness of our proposed joint optimization method is demonstrated through comprehensive numerical experiments,sensitivity analysis,and a comparative study.The results show that our method can achieve cost reductions compared to several other related methods,highlighting its practical applicability for manufacturing companies aiming to reduce costs.

关 键 词：joint optimization degraded system CRPS control chart uncertain buffer stocking time 

分 类 号：TU71[建筑科学—建筑技术科学]