LDR | | 02634nmm uu200445 4500 |
001 | | 000000334393 |
005 | | 20240805180220 |
008 | | 181129s2017 |||||||||||||||||c||eng d |
020 | |
▼a 9780438310001 |
035 | |
▼a (MiAaPQ)AAI10970759 |
035 | |
▼a (MiAaPQ)OhioLINK:osu1493905616531091 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
082 | 0 |
▼a 658 |
100 | 1 |
▼a Roychowdhury, Sayak. |
245 | 10 |
▼a Data-Driven Policies for Manufacturing Systems and Cyber Vulnerability Maintenance. |
260 | |
▼a [S.l.] :
▼b The Ohio State University.,
▼c 2017 |
260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2017 |
300 | |
▼a 136 p. |
500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B. |
500 | |
▼a Adviser: Theodore T. Allen. |
502 | 1 |
▼a Thesis (Ph.D.)--The Ohio State University, 2017. |
520 | |
▼a This 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 |
520 | |
▼a In 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 |
520 | |
▼a The 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 |
520 | |
▼a Another 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 |
520 | |
▼a Then, 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 |
590 | |
▼a School code: 0168. |
650 | 4 |
▼a Operations research. |
650 | 4 |
▼a Industrial engineering. |
690 | |
▼a 0796 |
690 | |
▼a 0546 |
710 | 20 |
▼a The Ohio State University.
▼b Industrial and Systems Engineering. |
773 | 0 |
▼t Dissertation Abstracts International
▼g 80-01B(E). |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0168 |
791 | |
▼a Ph.D. |
792 | |
▼a 2017 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15001352
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자 |