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Creating technical criteria for the hierarchization of public works: Case study in Paraná state, Brazil

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  • Steiner, Alexandre Arns
  • Franco, David Gabriel de Barros
  • Nara, Elpídio Oscar Benitez
  • Steiner, Maria Teresinha Arns

Abstract

Public works in general play an important role because of their expressive value and considerable social relevance. In this respect, it is necessary to establish criteria/indicators for defining the hierarchy of works that must be conducted by a public entity, mainly for works considered ordinary, that is, those that do not stand out from a set of alternatives by degree of emergency or importance. Specifically, the hierarchization of engineering works to be carried out by the Public Administration in Brazil usually adopts the political approach to decision making without the application of rational technical criteria. Therefore, the aim of this article is to present a methodology to define the hierarchy of engineering works with the judiciary branch of power through the creation of technical criteria/indicators, followed by the application of the Fuzzy-Delphi technique to define the indices/weights that comprise the indicators. The technical criteria were created based on Resolution 114 of the country's National Council of Justice (Conselho Nacional de Justiça; CNJ), whose weights were obtained through the aforementioned method, which was applied to a panel of experts, in two stages, with the adoption of triangular fuzzy numbers. The results, which were clear and objective, provide the General Hierarchization Index (GHI), with the ordering/ranking of the works included in the process. The methodology was validated in a case study applied to 162 alternatives (districts), containing 192 buildings of the Court of Justice of Paraná State (Tribunal de Justiça do Paraná; TJPR), proving to be an important tool to support decision making. The optimization of resources through the determination of priorities converges to the sustainable hiring applied to public contracts. Institutions of the other Powers of the Republic could and should also be encouraged by public authorities to conduct technical studies similar to the proposal presented here, always clarifying the need for a clear and objective definition of the criteria and weights to be applied in the development of solutions for multicriteria decision making.

Suggested Citation

  • Steiner, Alexandre Arns & Franco, David Gabriel de Barros & Nara, Elpídio Oscar Benitez & Steiner, Maria Teresinha Arns, 2023. "Creating technical criteria for the hierarchization of public works: Case study in Paraná state, Brazil," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    • Handle: RePEc:eee:soceps:v:90:y:2023:i:c:s0038012123002604
    DOI: 10.1016/j.seps.2023.101748
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    References listed on IDEAS

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    1. Shengping Peng & Yi Zhou & Wen-Tsao Pan, 2022. "Allocation and Optimization of Public Sports Facilities Resources in International Tourist Cities Based on Fuzzy Multicriteria Decision-Making Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-9, August.
    2. Meijering, J.V. & Kampen, J.K. & Tobi, H., 2013. "Quantifying the development of agreement among experts in Delphi studies," Technological Forecasting and Social Change, Elsevier, vol. 80(8), pages 1607-1614.
    3. Reon Matemane & Tankiso Moloi & Michael Adelowotan, 2022. "Appraising Executive Compensation ESG-Based Indicators Using Analytical Hierarchical Process and Delphi Techniques," JRFM, MDPI, vol. 15(10), pages 1-19, October.
    4. Jokar, Ebrahim & Aminnejad, Babak & Lork, Alireza, 2021. "Assessing and Prioritizing Risks in Public-Private Partnership (PPP) Projects Using the Integration of Fuzzy Multi-Criteria Decision-Making Methods," Operations Research Perspectives, Elsevier, vol. 8(C).
    5. Benny Lianto, 2023. "Identifying Key Assessment Factors for a Company’s Innovation Capability Based on Intellectual Capital: An Application of the Fuzzy Delphi Method," Sustainability, MDPI, vol. 15(7), pages 1-21, March.
    6. Norman Dalkey & Olaf Helmer, 1963. "An Experimental Application of the DELPHI Method to the Use of Experts," Management Science, INFORMS, vol. 9(3), pages 458-467, April.
    7. Cheng, Ching-Hsue & Lin, Yin, 2002. "Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 174-186, October.
    8. Matei, Ani & Savulescu, Carmen, 2009. "Enhancing the efficiency of local government in the context of reducing the administrative expenditures," MPRA Paper 17640, University Library of Munich, Germany.
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