A PROPOSAL FOR PROJECT PRIORITIZATION IN THE CONTEXT OF A FEDERAL HIGHER EDUCATION INSTITUTION
DOI:
https://doi.org/10.29327/sbqp2021.437966Keywords:
Priorities for Project Design, TOPSIS, Multiple Criteria Decision AnalysisAbstract
Staff resources available for the development of construction and remodeling projects in public institutions are often scarce. As well as the prioritization process ends up being chaotic due to the way the financial resources for carrying out these projects are made available. The planning for a Federal Institution of Higher Education (IFES) ends up being affected by issues of a situation and opportunities arising from political moments that hinder a consistent planning for better allocation of these resources. Thus, the problem addressed consists of a proposal to help the sector responsible for projects to establish the sequencing of the work to be carried out considering multiple criteria that reflect the needs of the institution. Therefore, the TOPSIS method was adopted for prioritizing projects to be developed in the Directorate of Plans and Projects (DPP) at UFPE. This method was chosen because it allows justifying the choices and is easy to understand given the democratic environment of an IFES and the transparency required for the public sector. To illustrate the model proposed in this article, a numerical application is presented that reflects the problem of selecting projects in the DPP, presenting the criteria used and the application of the model.
References
ABBASIANJAHROMI, H.; RAJAIE, H. DEVELOPING A PROJECT PORTFOLIO SELECTION MODELFOR CONTRACTOR FIRMS CONSIDERING THE RISK FACTOR. Journal of Civil Engineering andManagement, 2012. v. 18, n. 6, p. 879–889.
ABDULGADER, F. S.; EID, R.; ROUYENDEGH, B. D. Development of decision support model forselecting a maintenance plan using a fuzzy MCDM approach: A theoretical framework.
Applied Computational Intelligence and Soft Computing, 2018.
AHRIZ, S. et al. Cobit 5-based approach for IT project portfolio management: Application to aMoroccan university. International Journal of Advanced Computer Science and Applications,2018. v. 9, n. 4, p. 88–95.
AMORIM, L. A. Agente para suporte à decisão multicritério em gestão pública participativa.
[S.l.]: UNIVERSIDADE FEDERAL DE GOIÁS, 2014.
ANTUNES, C. et al. Multiple Criteria Decision Analysis. 1. ed. Estados Unidos: Springer, 2005.
BEHZADIAN, M. et al. A state-of the-art survey of TOPSIS applications. Expert Systems withApplications, 2012. v. 39, n. 17, p. 13051–13069. Disponível em:<http://dx.doi.org/10.1016/j.eswa.2012.05.056>. Acesso em: 2 de abr. 2021.
DEPARTMENT FOR COMMUNITIES AND LOCAL GOVERNMENT. Multicriteria Analysis - A manual.London: www.gov.uk, 2009.
GRECO, S.; EHRGOTT, M.; FIGUEIRA, J. R. Multiple Criteria Decision Analysis: State of the ArtSurveys. Internatio ed. [S.l.]: Springer, 2016.
HASHEMIZADEH, A.; JU, Y. Project portfolio selection for construction contractors by MCDM–GIS approach. International Journal of Environmental Science and Technology, 2019. v. 16, n.12, p. 8283–8296.
HILLIER, F. S.; LIEBERMAN, G. J. Introdução à Pesquisa Operacional. 9a ed. Porto Alegre: Brasil,2013.
HWANG, C. L.; YOON, K. Multiple Attribute Decision Making: methods and applications.
Lecture No ed. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 1981.
KROHLING, R. A.; CAMPANHARO, V. C. Fuzzy TOPSIS for group decision making: A case studyfor accidents with oil spill in the sea. Expert Systems with Applications, 2011. v. 38, n. 4, p.
4190–4197. Disponível em: <http://dx.doi.org/10.1016/j.eswa.2010.09.081>. Acesso em: 6 deabr. 2021.
MA, J. et al. Computers & Industrial Engineering Sustainability driven multi-criteria project portfolioselection under uncertain decision-making environment. Computers & Industrial Engineering, 2020.
v. 140, n. August 2019, p. 106236. Disponível em: <https://doi.org/10.1016/j.cie.2019.106236>.
PALHA, R. P. et al. Sorting subcontractors’ activities in construction projects with a novel additiveveto sorting approach. Journal of Civil Engineering and Management, 2019. v. 25, n. 4, p. 306–321.
______. Negotiation throughout flexible and interactive tradeoffs applied to constructionprocurement. Automation in Construction, 2019. v. 99, n. October 2018, p. 39–51. Disponível em:<https://doi.org/10.1016/j.autcon.2018.12.002>. Acesso em: 5 de mai. 2021.
SILVA, D. F. De L.; ALMEIDA-FILHO, A. T. De. Sorting with TOPSIS through boundary andcharacteristic profiles. Computers and Industrial Engineering, 2020. v. 141, n. January, p. 106328.
Disponível em: <https://doi.org/10.1016/j.cie.2020.106328>. Acesso em: 25 de mai. 2021.
______; FERREIRA, L.; ALMEIDA-FILHO, A. T. De. A new preference disaggregation TOPSIS approachapplied to sort corporate bonds based on financial statements and expert’s assessment. ExpertSystems with Applications, 2020. v. 152, p. 113369. Disponível em:<https://doi.org/10.1016/j.eswa.2020.113369>.
TRIANTAPHYLLOU, E et al. Multi-Criteria Decision Making : An Operations Research Approach.
Electronics, 1998. v. 15, n. August, p. 175–186.
TRIANTAPHYLLOU, Evangelos; CHI-TUN, L. Development and evaluation of five fuzzy multiattributedecision-making methods. International Journal of Approximate Reasoning, 1996. v. 14, n. 4, p.281–310.
UFPE, U. F. De P. Plano Diretor Físico.
YADOLLAHI, M.; ABD MAJID, M. Z.; MOHAMAD ZIN, R. Post-Pareto optimality approach to enhancebudget allocation process for bridge rehabilitation management. Structure and InfrastructureEngineering, 2014. v. 11, n. 12, p. 1565–1582. Disponível em:<http://dx.doi.org/10.1080/15732479.2014.980833>. Acesso em: 2 de abr. 2021.
