Post-Pareto optimality approach to enhance budget allocation process for bridge rehabilitation management

Yadollahi, Mohammadreza; Majid, Muhd Zaimi Abd; Zin, Rosli Mohamad

doi:10.1080/15732479.2014.980833

Cited by 16 publications

(6 citation statements)

References 57 publications

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“…Mathematical Problems in Engineering [15,[32][33][34]. Ten, like other MCDM approaches, a decision matrix is built to evaluate the M alternatives in terms of N criteria, as in the matrix presented in…”

Section: Topsis Methodsmentioning

confidence: 99%

A TOPSIS‐Based Decision Model to Establish Priorities for Sequencing the Design of Construction Projects in the Public Sector

Nascimento

Filho

Palha

2023

Mathematical Problems in Engineering

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The availability of resources regarding budget and personnel for infrastructure development in the public sector is increasingly scarce, prioritizing personnel payments and basic expenses. Therefore, there is a need to prioritize the design of maintenance, refurbishment, and construction projects. Also, it is necessary to validate their impact and necessity before allocating public resources. The main contribution of this paper is a framework proposed to handle these issues frequently found in the public sector with a multicriteria approach, considering strategic and service aspects. To illustrate the proposed model, we considered the context of a federal institution of higher education that offers an infrastructure for about forty thousand students. This public institution is affected by issues of conjuncture and opportunities arising from political moments that hinder consistent programming for better allocation of these resources. Similarly to other institutions in the public sector, the chosen one has to cope with several demands for construction projects. However, limited resources and personnel to carry out those project designs are subject to the uncertainty of not having the financial resources to implement these construction projects. Or even worse, when unforeseen, funds to carry out specific projects arise without a feasible time to design those construction projects that the public institution did not prioritize. Thus, another contribution of the decision model proposed in this paper is to enable the department responsible for projects to establish the ranking for the project design, considering the multiple criteria that reflect the institution’s needs. Among the advantages perceived from this real application, there is a priority ranking resulting from a mathematical model based on the TOPSIS method, which is easy to understand. Furthermore, the proposed approach gives the transparency and reproducibility required in such a public and democratic environment, enabling transparency on the criteria considered in the allocation process for all personnel involved considering the actors that manage the resources and those which demand the project design services.

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Section: Topsis Methodsmentioning

confidence: 99%

A TOPSIS‐Based Decision Model to Establish Priorities for Sequencing the Design of Construction Projects in the Public Sector

Nascimento

Filho

Palha

2023

Mathematical Problems in Engineering

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“…Mondoro et al [12], for a given management strategy, defined the corresponding benefit as the probability of risk reduction achieved through structural retrofitting. Yadollahi et al [13] assigned scores to various factors related to elements and conditions, health indexes, safety, and risk, as well as calculated the corresponding repair costs. They assigned different weights to each factor and calculated the benefit value using a benefit calculation formula.…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling the Optimal Maintenance Strategy for Bridge Elements Based on Agent Sequential Decision Making

Xin,

Liang,

et al. 2023

Applied Sciences

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In addressing the issues of low efficiency in bridge maintenance decision making, the inaccurate estimation of maintenance costs, and the lack of specificity in decision making regarding maintenance measures for specific defects, this study utilizes data from regular bridge inspections. It employs a two-parameter Weibull distribution to model the duration variables of the states of bridge elements, thereby enabling the prediction of the duration time of bridge elements in various states. Referring to existing bridge maintenance and repair regulations, the estimation process of maintenance costs is streamlined. Taking into account the specific types and development state of bridge defects, as well as considering the adequacy of maintenance and the restorative effects of maintenance measures, an intelligent agent sequential decision-making model for bridge maintenance decisions is established. The model utilizes dynamic programming algorithms to determine the optimal maintenance and repair measures for elements in various states. The decision results are precise, all the way down to the specific bridge elements and maintenance measures for individual defects. In using the case of the regular inspection data of 222 bridges along a highway loop, this study further validates the effectiveness of the proposed research methods. By constructing an intelligent agent sequential decision-making model for bridge element maintenance, the optimal maintenance measures for 21 bridge elements in different states are obtained, thereby significantly enhancing the efficiency of actual bridge maintenance and the practicality of decision results.

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“…The procedure of TOPSIS can be expressed in a series of steps (Billah & Alam, 2014;Yadollahi, Abd Majid, & Mohamad Zin, 2015):…”

Section: Spatial Technique For Order Preference By Similarity To Ideamentioning

confidence: 99%

A spatial multicriteria decision-making method for natural gas transmission pipeline routing

Yıldırım

Yomralıoğlu

Nişancı

et al. 2016

Structure and Infrastructure Engineering

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In accordance with current demands, the natural gas transmission pipeline (NGTP) is one of the most appropriate methods used in the distribution of existing reserves. Construction of long-distance pipelines requires large expenditures. Decreasing the time and cost of such construction and minimising environmental damage depend upon identifying the optimum routes from the onset of the project. Route determination is one of the most important steps in NGTP projects. The route determination process requires obtaining the existing graphic and non-graphic data from different institutions and organisations, as well as gathering, storing, querying and analysing non-existing data in an appropriate and efficient manner. Accessing the correct results rapidly by analysing such large data-sets can be achieved with spatial multicriteria decision-making technologies based on the geographic information system as an effective decision support tool. In this study, three methods were implemented for two NGTP projects of 103.60 and 60.89 km in length. At the end of this study, it was concluded that Spatial technique for order preference by similarity to ideal solution was the most effective of the three pipeline routing methods and that it could reduce project costs by approximately 21%.

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Post-Pareto optimality approach to enhance budget allocation process for bridge rehabilitation management

Cited by 16 publications

References 57 publications

A TOPSIS‐Based Decision Model to Establish Priorities for Sequencing the Design of Construction Projects in the Public Sector

A TOPSIS‐Based Decision Model to Establish Priorities for Sequencing the Design of Construction Projects in the Public Sector

Modeling the Optimal Maintenance Strategy for Bridge Elements Based on Agent Sequential Decision Making

A spatial multicriteria decision-making method for natural gas transmission pipeline routing

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