Loading...
Asset management in electric power systems: Bibliometric analysis
Mohib, Ashfaque A.
Mohib, Ashfaque A.
An error occurred retrieving the object's statistics
Citations
Altmetric:
Authors
Mohib, Ashfaque A.
Other Names
Location
Time Period
Advisors
Yildirim, Mehmet Bayram
Original Date
Digitization Date
Issue Date
2021-04-02
Type
Abstract
Genre
Keywords
Subjects (LCSH)
Citation
Mohib, A. A. 2021. Asset management in electric power systems: Bibliometric analysis -- In Proceedings: 17th Annual Symposium on Graduate Research and Scholarly Projects. Wichita, KS: Wichita State University
Abstract
Utility companies are forced into adopting strategies to satisfy customer demand and reliability, maintain and grow asset infrastructures, increase return on investments and improve operational efficiencies to compete in dynamic market for sustainability and growth. The purpose of this paper is to provide an overview of asset management in electric power systems and research gaps of interest by performing bibliometric analysis. We perform a series of qualitative and quantitative analysis on secondary data by conducting an iterative and multi-combination of keywords searches on Scopus database to provide a comprehensive list of published work in this knowledge domain. VOSviewer is utilized to generate visual maps, network diagrams and clusters, using keyword co-occurrence, source citation, and bibliometric coupling techniques. Microsoft Access is used for data set analysis, prior to an extensive literature review. We identify four areas of research thrusts in asset management in electric power systems: asset maintenance scheduling, asset preventive maintenance, asset failure analysis, and asset life-cycle planning. Future researchers would benefit from the given iterative and efficient research techniques to contribute further to the extend this knowledge domain. Asset managers in utility companies would benefit from the extension of this current research through the extant literature reviews, supplemented frameworks and improved optimization models.
Table of Contents
Description
Presented to the 17th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held online, Wichita State University, April 2, 2021.
Research completed in the Department of Industrial, Systems and Manufacturing Engineering, College of Engineering
Research completed in the Department of Industrial, Systems and Manufacturing Engineering, College of Engineering
Publisher
Wichita State University
Journal
Book Title
Series
GRASP
v. 17
v. 17