Affiliation:
1. College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam 34211, Saudi Arabia
Abstract
Effective facility asset management requires specific skills and tools to optimize the use of limited resources, making a decision support system essential. This research introduces a comprehensive decision support system, which is a framework organized into three models: the criticality model, the rehabilitation model, and the optimum criticality model to manage the rehabilitation of facility assets. The criticality model utilizes the Analytical Hierarchy Process (AHP) to assess the group of assets. Emphasizing criticality as a central management factor, this model lays the foundation for subsequent decision-making. The rehabilitation model employs an Artificial Neural Network (ANN), integrating Customer Level of Service (CLoS), Technical Level of Service (TLoS), and asset criticality to determine appropriate rehabilitation actions. NeuralTools 7.5 is leveraged for precise predictions of rehabilitation strategies tailored to specific assets. The third model, optimum criticality, focuses on prioritizing rehabilitation activities within the constraints of limited budgets. Lingo 20.0 is utilized to optimize rehabilitation activities, considering budget limitations and other constraints, offering a strategic approach to maximize the impact of available resources. This integrated framework provides decision-makers with a systematic and data-driven approach to facility management, enhancing the efficiency and effectiveness of rehabilitation actions. An academic building was chosen as a hypothetical example to implement the three models and suggest the essential considerations for managing both the academic building itself and other infrastructure assets. The results obtained demonstrate that the principles and methodologies encapsulated in this project can be extrapolated and scaled up for application to large-scale infrastructure assets, ensuring the sustenance of the requisite level of service and the management of acceptable risk on a broader scale.
Subject
Building and Construction,Civil and Structural Engineering,Architecture
Reference41 articles.
1. Impact of employee satisfaction with facilities on self-assessed productivity support;Groen;J. Facil. Manag.,2019
2. Acharyya, A. (2023, December 01). Public Investment in Household Water Infrastructure and Economic Development: An Achilles Heel for India?. Available online: https://www.researchgate.net/publication/355427630.
3. National Asset Management Support Group (NAMS) (2011). International Infrastructure Management Manual (IIMM).
4. Palisade/Lumivero Corporation (2017). Lumivero, Palisade/Lumivero Corporation.
5. LINDO Systems Inc (2023). LINDO, LINDO Systems Inc.