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Massachusetts Institute of Technology

The impact of INPO on plant performance and operations

Abstract

dc:description.abstract

The goal of this research was to understand the effect that a voluntary regulatory body, the Institute of Nuclear Power Operations (INPO), has on the nuclear industry. Understanding this information exchange sector is a step towards understanding the dynamics of reform in a high risk industry. This was done through creating a model of the information flow through the industry and analyzing the results. This model shows how INPO interacts with the nuclear industry, and how they run their own organization. Once this model had been created, it was linked to an existing model of a nuclear power utility. This updated model gave a more accurate depiction of the learning effect that INPO has on the utility's performance and operations. The program used to create these computer simulation models was VENSIM, a systems dynamics utility by Ventana Systems.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Nuclear Engineering
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
1998

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Khan, Humera
Advisor dc:contributor.advisor
  • Kent F. Hansen, Nelson Repenning, and Richard Tabors.

Subjects

dc:subject × 2

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/47901
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/47901

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Khan, Humera. The impact of INPO on plant performance and operations. Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/47901