자료유형 | 학위논문 |
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서명/저자사항 | Analytic Models for Effective Planning for Response to Sudden Disruptions. |
개인저자 | Azghandi, Rana. |
단체저자명 | Northeastern University. Mechanical and Industrial Engineering. |
발행사항 | [S.l.]: Northeastern University., 2019. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
형태사항 | 111 p. |
기본자료 저록 | Dissertations Abstracts International 81-05B. Dissertation Abstract International |
ISBN | 9781088350591 |
학위논문주기 | Thesis (Ph.D.)--Northeastern University, 2019. |
일반주기 |
Source: Dissertations Abstracts International, Volume: 81-05, Section: B.
Advisor: Griffin, Jacqueline. |
이용제한사항 | This item must not be sold to any third party vendors.This item must not be added to any third party search indexes. |
요약 | All systems, and particularly complex systems are vulnerable to disruptive events including large disruptions, which are easily detected and quickly responded to, and small disruptions, which are more difficult to detect. Due to the differences in the ability to detect and forecast the effects of small disruptions, more focus is often given to preparations for major disruptions. However, neglecting minor disruptive events may lead to more severe problems in the long run. Due to the need to focus on how to plan to respond to disruptions of multiple scales, this dissertation focuses on critical problems in two application areas: (i) addressing the needs of elderly and disabled populations in natural disasters, and (ii) addressing the underlying causes of pharmaceutical drug shortages nationwide. |
일반주제명 | Industrial engineering. |
언어 | 영어 |
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