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Data-Driven Policies for Manufacturing Systems and Cyber Vulnerability Maintenance

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개인저자Roychowdhury, Sayak.
단체저자명The Ohio State University. Industrial and Systems Engineering.
서명/저자사항Data-Driven Policies for Manufacturing Systems and Cyber Vulnerability Maintenance.
발행사항[S.l.] : The Ohio State University., 2017
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2017
형태사항136 p.
소장본 주기School code: 0168.
ISBN9780438310001
일반주기 Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: Theodore T. Allen.
요약This research explores deterministic and stochastic policies to help organizations make data-driven optimal decisions. The two major application areas identified in this research are manufacturing and cyber security. In a recent report published
요약In stamping, different types of parts are scheduled for processing in the press, which requires different die-sets to be mounted on the press. This has all the elements of conventional scheduling problems with tardiness objectives and setup cost
요약The second part of this research is motivated towards improving cyber vulnerability maintenance policies under uncertainty. A conservative estimate by McAfee in 2014 puts annual cost of cybercrime at US$375B. This is an important contempo
요약Another benefit of using finite numbers of model scenarios relates to decision making for multiple identical systems, e.g., a "fleet" of identical Linux computer hosts. The issue of identical systems in machine learning has apparently received l
요약Then, I explore additional advantages of finite model scenario BAMDPs relating to the ability to incorporate reward-based or other learning in intuitive ways. Also, the speed of learning and the concept of "fast learning" and average learning ti
일반주제명Operations research.
Industrial engineering.
언어영어
기본자료 저록Dissertation Abstracts International80-01B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T15001352

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