NDLI: Birnbaum importance in solving component assignment problems

Content Provider	IEEE Xplore Digital Library
Author	Xiaoyan Zhu Qingzhu Yao Way Kuo
Copyright Year	2011
Description	Author affiliation: Department of Industrial and Information Engineering, University of Tennessee, 307 East Stadium Hall, Knoxville, TN 37919, USA (Xiaoyan Zhu) \|\| Department of Industrial and Information Engineering, University of Tennessee, 305 East Stadium Hall, Knoxville, TN 37919, USA (Qingzhu Yao) \|\| City University of Hong Kong, Cheng Yick-chi Building, Tat Chee Avenue, Kowloon, Hong Kong (Way Kuo)
Abstract	As an important type of reliability optimization problems, the component assignment problem (CAP) is to find the optimal arrangement of n available components to n positions of a system such that the resulting system reliability is maximized. The CAP is a combinatorial problem in nature and needs effective solution methods. The importance measures of components, e.g., the Birnbaum importance (BI), evaluate the relative strength of a component to system reliability, and can be used in aid to tackle the CAP. This paper studies the competence of the BI in solving the CAP. It proposes some BI-based heuristic methods for the CAP, and evaluates and compares the BI-based heuristics, including the new ones and the existing ones, through comprehensive numerical experiments. It is demonstrated that the heuristics using the BI can solve the CAP satisfactorily and the new heuristics are superior to the existing ones under some situ ations. Through the analysis to the computational results, this paper suggests a two-phase procedure for solving the CAP, and each phase uses different BI-based heuristics.
Starting Page	1
Ending Page	6
File Size	432220
Page Count	6
File Format	PDF
ISBN	9781424488575
ISSN	0149144X
e-ISBN	9781424488568
DOI	10.1109/RAMS.2011.5754449
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-01-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reliability Bismuth Pipelines Estimation Uncertainty Resource management Three dimensional displays Heuristics Birnbaum importance Component assignment problem
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A Birnbaum-importance based genetic local search algorithm for component assignment problems

Resource Management Architecture for Fair Scheduling of Optional Computations

Birnbaum Importance Patterns and Their Applications in the Component Assignment Problem

A Birnbaum Importance and regression analysis based heuristic algorithm for multi-type component assignment problem

Component Ranking by Birnbaum Importance in Presence of Epistemic Uncertainty in Failure Event Probabilities

A heuristic for a special kind of multi-type component assignment problem

A hierarchy of importance indices

Moving equivalent multipoles derived from the body surface potential map by solving the inverse problem

Average-case performance of heuristics for three-dimensional random assignment problems.

Birnbaum importance in solving component assignment problems

Similar Documents

A Birnbaum-importance based genetic local search algorithm for component assignment problems

Resource Management Architecture for Fair Scheduling of Optional Computations

Birnbaum Importance Patterns and Their Applications in the Component Assignment Problem

A Birnbaum Importance and regression analysis based heuristic algorithm for multi-type component assignment problem

Component Ranking by Birnbaum Importance in Presence of Epistemic Uncertainty in Failure Event Probabilities

A heuristic for a special kind of multi-type component assignment problem

A hierarchy of importance indices

Moving equivalent multipoles derived from the body surface potential map by solving the inverse problem

Average-case performance of heuristics for three-dimensional random assignment problems.

Birnbaum importance in solving component assignment problems