Published 2004 | Version v1
Book

A method to identify dependencies between organizational factors using statistical independence test

  • 1. Department of Nuclear Engineering, Seoul National University, Seoul (Korea, Republic of)
  • 2. Department of Nuclear Engineering, Hanyang University, Seoul (Korea, Republic of)
  • 3. Department of Environment Sys. Science, Cheonan College of Foreign Studies, Cheonan (Korea, Republic of)

Description

A considerable number of studies on organizational factors in nuclear power plants have been made especially in recent years, most of which have assumed organizational factors to be independent. However, since organizational factors characterize the organization in terms of safety and efficiency etc. and there would be some factors that have close relations between them. Therefore, from whatever point of view, if we want to identify the characteristics of an organization, the dependence relationships should be considered to get an accurate result. In this study the organization of a reference nuclear power plant in Korea was analyzed for the trip cases of that plant using 20 organizational factors that Jacobs and Haber had suggested: 1) coordination of work, 2) formalization, 3) organizational knowledge, 4) roles and responsibilities, 5) external communication, 6) inter-department communications, 7) intra-departmental communications, 8) organizational culture, 9) ownership, 10) safety culture, 11) time urgency, 12) centralization, 13) goal prioritization, 14) organizational learning, 15) problem identification, 16) resource allocation, 17) performance evaluation, 18) personnel selection, 19) technical knowledge, and 20) training. By utilizing the results of the analysis, a method to identify the dependence relationships between organizational factors is presented. The statistical independence test for the analysis result of the trip cases is adopted to reveal dependencies. This method is geared to the needs to utilize many kinds of data that has been obtained as the operating years of nuclear power plants increase, and more reliable dependence relations may be obtained by using these abundant data

Part of:
Proceedings of the 12. international conference on nuclear engineering

Additional details

Publishing Information

Publisher
American Society of Mechanical Engineers - ASME
Imprint Place
New York (United States)
ISBN
0-7918-4687-3
Imprint Title
Proceedings of the 12. international conference on nuclear engineering
Imprint Pagination
924 p.
Journal Page Range
p. 615-619

Conference

Title
12. international conference on nuclear engineering - ICONE 12
Dates
25-29 Apr 2004
Place
Arlington - Virginia (United States)

INIS

Country of Publication
United States
Country of Input or Organization
France
INIS RN
37113713
Subject category
S22: GENERAL STUDIES OF NUCLEAR REACTORS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
CORRELATIONS; HUMAN FACTORS; MANAGEMENT; NUCLEAR POWER PLANTS; ORGANIZATIONAL MODELS; PERSONNEL; SAFETY CULTURE; STATISTICAL MODELS; SYSTEMS ANALYSIS
Descriptors DEC
ATTITUDES; MATHEMATICAL MODELS; NUCLEAR FACILITIES; POWER PLANTS; THERMAL POWER PLANTS

Optional Information

Notes
3 refs.