Technical Papers
Mar 27, 2020

Investigating Efficiency Utilizing Data Envelopment Analysis: Case Study of Shipyards

Publication: Journal of Infrastructure Systems
Volume 26, Issue 2

Abstract

Establishing performance targets for marine maintenance and repair operations can be challenging for management due to the multitude of factors that can potentially influence productivity, efficiency, and manpower requirements. The aim of this study was to measure and evaluate the efficiencies of various maintenance and repair shipyard operations using data envelopment analysis (DEA). The use of DEA allows for multiple factors affecting maintenance productivity to be analyzed and allows the sources of inefficiencies in maintenance operations to be identified through examination of efficient or best practice decision making units, or DMUs. Results presented in this study were used to develop an overall strategic plan for enhanced decision-making with regard to labor and resource requirements and management strategies for the administration of the shipyards. Inefficient maintenance operations were identified through DEA evaluation and included the use of identified quantitative and qualitative factors. The use of quantified factors in assessing manpower needs was a beneficial approach for what is typically a subjective judgment in the determination of staffing and scheduling needs, organizational structure, and performance targets.

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Go to Journal of Infrastructure Systems
Journal of Infrastructure Systems
Volume 26Issue 2June 2020

History

Received: Mar 4, 2019
Accepted: Nov 26, 2019
Published online: Mar 27, 2020
Published in print: Jun 1, 2020
Discussion open until: Aug 27, 2020

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Authors

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Glenda Mayo, Ph.D., A.M.ASCE [email protected]
Assistant Professor, Dept. of Engineering Technology and Construction Management, Univ. of North Carolina Charlotte, 9201 University City Blvd., Charlotte, NC 28223-0001 (corresponding author). Email: [email protected]
Assistant Professor, Dept. of Engineering Technology and Construction Management, Univ. of North Carolina Charlotte, 9201 University City Blvd., Charlotte, NC 28223-0001. ORCID: https://orcid.org/0000-0002-9977-5759. Email: [email protected]
Tyler Morgan [email protected]
Graduate Research Assistant, Dept. of Engineering Technology and Construction Management, Univ. of North Carolina Charlotte, 9201 University City Blvd., Charlotte, NC 28223-0001. Email: [email protected]

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