Lu JIN (金 路)

Offer Organization: 日本学術振興会, System Name: 科学研究費助成事業 基盤研究(B), Category: 基盤研究(B), Fund Type: -, Overall Grant Amount: - (direct: 12800000, indirect: 3840000)
１．未然防止予測七視点・ホワイトモード WMの探求：昨年度までの製品安全，輸送システム，医療安全の三分野に加え、コロナ感染阻止に関する社会品質に関しその品質要素の検討、ブラックモードとホワイトモードWMの抽出の検討を行い、未然防止予測七視点を深化させた．
2．信頼・安心へのスキーム構築とシーソモデルによる動機付け方法の検討：Withコロナへの社会品質確立を目的に、米国50州とワシントンDC特別区の陽性者数・死亡者数データを基にマスク着用の効果（論文[1]）、ならびにワクチン接種効果の分析を行なった（論文[1],論文[4]）．また、行動分析学の視点から、ワクチン接種に関する効果と副反応、マスク着用への効果と手間・慣習の打破に関し考察を行い、シーソモデル七視点の深化を図り、行動変容への仮説を構築した．
3．未然防止予測七視点に基づくモバイルIoTモニタリングシステムの企画・構想：S化学工業(株)の建築労災事例の分析を行い，ルール不遵守による労災が過半数を占めることをつきとめ、これを打破するべくIoTの活用とともに行動分析学の視点より考察を行った．その結果、現場巡視やモバイルチャット管理において、現状の監督者への「指示をしたか」から「指示後、行動観察しアクションしたか」の活動へのレベルアップが重要であるとの仮説を構築した．
4．新型コロナ感染拡大防止に向けての応用と深化：COVID-19の感染拡大防止に向け，上記１．2．の分析に基づき、信頼・安心へのスキームの3つの七視点からの検討を継続した．

国際学術誌論文査読3件
IEEE Transactions on Reliability (1件)
IISE Transactions (1件)
Journal of Quality Technology and Quantitative Management (1件)

国際会議論文査読10件

Offer Organization: Japan Society for the Promotion of Science, System Name: Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (B), Category: Grant-in-Aid for Young Scientists (B), Fund Type: -, Overall Grant Amount: - (direct: 2500000, indirect: 750000)
This project investigates the optimal maintenance decision-making problem for deteriorating systems operating in a variable environment with selectable operations. Since there are strong dynamic interactions among a deteriorating system, its surrounding environment, and the operation being executed, this project formulates the optimal decision-making problem for this system as a non-stationary Markov decision process. The structural properties of the resulting optimal expected cost function are examined, and the optimal maintenance policy is found to be given by a control limit policy under certain conditions. Based on the obtained control limit structure, an algorithm is provided for searching the optimal maintenance policy for a deterioration system under a varying environment. Such maintenance policy enhances the dynamic decision-making process for deteriorating systems operating in a variable environment, and supports the implementation of a system-specific maintenance plan.

Offer Organization: Japan Society for the Promotion of Science, System Name: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (A), Category: Grant-in-Aid for Scientific Research (A), Fund Type: -, Overall Grant Amount: - (direct: 36000000, indirect: 10800000)
Outline of Research Findings
The purpose of this study is to create the standard manufacturing process for high quality and high reliability products, based on Next-Generation QRIS (Quality and Reliability Information System) combining and utilizing the knowledge of quality control, reliability engineering, and advanced information and communication technology. Throughout this study, we aim the following matters: ①To ensure reliability and safety by improving the accuracy of personalized risk communication to individual customer. ②To establish the prevention system for troubles related to quality and reliability, focused on hazard, failure mode, top event mode, and effect. ③To renovate reliability engineering with the trends of the information age.

Offer Organization: Japan Society for the Promotion of Science, System Name: Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (B), Category: Grant-in-Aid for Young Scientists (B), Fund Type: -, Overall Grant Amount: - (direct: 2700000, indirect: 540000)
This research investigated an optimal maintenance problem with incomplete observations and showed that, when the transition probability matrix (P) has the stochastic increasing (SI) property, the optimal procedure is given by a monotone procedure if and only if the conditional probability matrix (Γ) is given by an identity matrix. This research brings to a close over 50 years of research on ways to extend the optimality of monotone procedure on the basis of SI ordering of the state probability vectors.
Furthermore, this research studied the optimal structure identification problem for a monitoring system with multiple sensors and identified a necessary and sufficient condition under which a k-out-of-n structure is optimal in terms of minimizing the expected risk. This means that, fewer structures need to be considered when searching for the optimal one.

Offer Organization: Japan Society for the Promotion of Science, System Name: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Category: Grant-in-Aid for Scientific Research (C), Fund Type: -, Overall Grant Amount: - (direct: 3500000, indirect: 300000)
Results are summarized into the following four categories:
1. System for Prevention of Quality and Safety Problems and Their Organization and Management Factors
To prevent quality and reliability problems, a system which consists of seven steps is proposed and the importance of the following organizational and management factors is discussed : (1) Quality FLEA, Customer First Principle, (2) Culture which Can Open Problems, (3) Adaptation for Change, (4) Information Sharing and Communication, (5) Confidence on Each Member, (6) Ethics, Engineering and Education, (7) CSR Consciousness.
2. Accumulation of Stress-Failure mechanism-Failure modes and its information sharing
If one cannot predict a risk in future, one cannot prevent it. Therefore, prevention based on prediction is important From this point of view, the method of prediction is discussed focusing on stress-failure mechanism-failure modes.
3. Fail-safe and Error Proof for Prevention of Problems
Even for long-time experienced products in the market such as gas stoves, oil fan heaters, etc., they have to operate safely. In this case, fail safe design which fails safely when it fails must be applied. This method is discussed. Also, it is impossible to eliminate human errors completely. For this, error proof technique is a key. Focusing on information processing of human, systematic error proof methods are proposed.
4. Investigation of Condition Monitoring Maintenance with Information Technology
Condition monitoring maintenance plays an important role in preventing the failures of huge and complex systems. This research investigated an optimal policy for a condition monitoring system which comprises multiple sensors, and derived a necessary and sufficient condition under which an optimal procedure is given by a monotone procedure for both cases of independent and depend observations. This condition is given by the conditional probability matrix, which describes the relationship of sensors' observations and system's true state, having a property of Totally Positive of order 2 (TP_2)/ Weak Multivariate Likelihood Ratio (Weak-MLR) property for the case of independent/dependent observation.