A Hybrid Prioritization Model for Funding School Maintenance and Rehabilitation Projects Using Data Envelopment Analysis and Linear Programming Algorithms
Publication: Journal of Architectural Engineering
Volume 28, Issue 2
Abstract
Public school buildings often require regular inspections and effective maintenance strategies to ensure their proper functional performance and safety. Because of budget constraints, school buildings always did not receive full attention to inspection and maintenance. This study aimed at developing a priority-rating model to evaluate the budget for maintenance and rehabilitation of school buildings. The model was developed based on data envelopment analysis (DEA) and linear programming (LP) techniques. A list of 35 school building elements was extracted from maintenance records. Five main factors affecting budget allocation for maintenance were identified. A total of 38 experts were selected to evaluate the relative importance of these five factors. A case study related to the rehabilitation of 20 schools was conducted to illustrate and verify the model. Results showed that some building components have more influence on the five factors than others. For example, wall exterior and sanitary waste strongly influence building user satisfaction. Merging DEA and LP overcame prioritization modeling issues by unifying factors with different units of measurement into a mathematical relationship and extracting weight ratios between these factors from the data instead of preselection. This study contributes to the body of knowledge by proposing a DEA-LP model to prioritize maintenance and funding allocation for school buildings. The findings from this study may be beneficial to practitioners by guiding adopting effective strategies to optimize school inspection activities and maintenance operations.
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Acknowledgments
The authors thank the engineers and inspectors of GEAB. The contents of this paper reflect the views of the authors, who are responsible for the facts and the accuracy of the data presented in this paper. The contents do not necessarily reflect the official views or policies of the GEAB, nor do the contents constitute a standard, specification, or regulation.
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Journal of Architectural Engineering
Volume 28 • Issue 2 • June 2022
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© 2022 American Society of Civil Engineers.
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Received: Jun 1, 2021
Accepted: Jan 26, 2022
Published online: Mar 14, 2022
Published in print: Jun 1, 2022
Discussion open until: Aug 14, 2022
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