Develop a fuzzy inference model to measure the quality of project management processes in a third sector institution
DOI:
https://doi.org/10.31686/ijier.vol9.iss10.3442Keywords:
Processes, Quality, Fuzzy LogicAbstract
The contemporary business environment seeks continuous improvement to remain competitive in the market, as customers increasingly demand quality products or services. In this perspective, this paper presents a methodology aimed at evaluating the quality of processes in the project management sector in a Third Sector Organization, based on the Fuzzy mathematical model. For this, linguistic variables (input) were developed according to information obtained from company Y, which enabled the application of the Fuzzy Logic method, in order to determine the output variable, which in this case is quality. After determining the rules, it was possible to obtain results that show that the developed fuzzy model has the potential to help improve the quality of processes.
References
Araújo, Luis Cesar G. de; Garcia, Adriana Amadeu; Martines, Simone; Process Management: better results and organizational excellence; 2nd edition, São Paulo, Atlas, 2019.
Association Of Business Process Management Professionals - ABPMP. Guide to Business Process Management: Common Body of Knowledge, 2013.
Bassan, Edilberto José. Quality Management: Tools, Techniques and Methods. 1st edition, Curitiba, 2018.
Bennett, Roger; Barkensjo, Anna. Relationship quality, relationship marketing, and client perceptions of the levels of service quality of charitable organizations. International Journal of Service Industry Management, vol. 16, no. 1, p. 81-106, 2005. Available: <https://www.emerald.com/insight/publication/issn/0956-4233/vol/16/iss/1.>. Accessed on: March 18, 2021. DOI: https://doi.org/10.1108/09564230510587168
Barros, Laécio Carvalho De.; Bassanezi, Rodney Carlos Bassanezi. Topics in fuzzy logic and biomathematics. UNICAMP/IMECC, Campinas, São Paulo, 2006.
Ballestero-Alvarez, María Esmeralda. Quality, production and operations management. 3rd edition, São Paulo, Atlas, 2019.
Barros, Ana Claudia. Detection and Classification of High Impedance Faults in Electric Power Systems Using Fuzzy Logic. Available at:<https://repositorio.unesp.br/bitstream/handle/11449/87092/barros_ac_me_ilha.pdf?sequence=1&isAllowed=y>. Accessed: May 20, 2021.
Borges, Carlos; Rolim. Fabioan. Applied project management: concepts and practical guide. Brasport, Rio de Janeiro, 2015.
Burmester, Hiano. Hospital Quality Management. 1st edition, São Paulo, Saraiva, 2013.
BRAZIL, Law No. 13.204, of December 14, 2015.Amends Law No. 13.019, of July 31, 2014, "which establishes the legal regime for voluntary partnerships, involving or not transfers of financial resources, between the public administration and civil society organizations, in a mutual cooperation regime, for the achievement of public interest purposes; defines guidelines for the development and collaboration policy with civil society organizations. Available at: <http://www.planalto.gov.br/ccivil_03/_ato2015-2018/2015/lei/l13204.htm>. Accessed on: April 4, 2021.
Carvalho, Marly Monteiro De; Rabechini Jr, Roque. Fundamentals in Project Management: building competencies to manage projects. 5th edition, São Paulo, Atlas 2021.
Carpinetti, Luiz Cesar Ribeiro. Quality Management: Concepts and Techniques. 2nd ed. São Paulo: Atlas, 2012a.
Carpinetti, Luis Cesar Ribeiro. Quality Management: concepts and techniques. 3rd edition, Atlas, São Paulo, 2016b.
Carpinetti, Luis Cesar Ribeiro; Gerolamo, Matthew Cecílio. Quality Management: ISO 9001:2015. 1st edition, Atlas, São Paulo, 2019.
Castro, Rodrigo Evengelista De. Artificial Intelligence: Genetic Algorithms in Practice, 2018.
Cichini, Fabio Augusto Leandrin. Application of a Fuzzy Decision Support Inference System to estimate the values of shares listed on the São Paulo Stock Exchange. 2009. Access on 04/18/2021.
Freitas, Marcos Airton De Sousa; Freitas, Gabriel Belmino. Artificial Intelligence and Machine Learning: theories and applications. 1 edition, 2020.
Gerreiro, Fernando Estudillo. Strategic Tools in Project Management. 2nd edition, São Paulo, Publishing, 2013.
Gibilini, Daniel. Application of artificial intelligence techniques in dynamic channel allocation in wireless networks. 2006. Dissertation (Masters in Digital Systems) - Polytechnic School, University of São Paulo, São Paulo, 2006. doi:10.11606/D.3.2006.tde-04092006-154457.Available at: <https://www.teses.usp.br/teses/disponiveis/3/3141/tde-04092006-154457/pt-br.php>. Accessed on: May 23, 2021.
Brazilian Institute of Geography and Statistics. Available at: . Accessed on: March 25, 2021.
Jesus, Leander; Apple tree, Andrew. Rethinking Management through Processes. Publisher: Elogroup, 1st edition, 2015.
Keeling, Ralf; White, Renato Henrique Ferreira. Project management. 4th edition, São Paulo, Saraiva Educação, 2019.
Kerzner. Harold. Project Management: best practices. . 4th edition, Bookman. Porto Alegre. 2020.
Kovacic, Zdenko et al. Fuzzy Controller Design: Theory and Applications. Available at:<https://www.academia.edu/43854555/Fuzzy_Controller_Design_Theory_and_Applications?email_work_card=view-paper>. Accessed on: May 21, 2021.
Lima, Humberto Junior Rodrigues De et al. Fuzzy Logic Applied to Monitoring Large Equipment in the Mining Industry. Available at: <https://simpep.feb.unesp.br/anais_simpep.php?e=8>. Accessed: April 28, 2021.
Lobo, Renato Nogueirol. Quality management. 2nd edition, São Paulo, Érica, 2020.
Lobo, Renato Nogueira; Silva, Damiao Limeira Da. Quality Management: Guidelines, Tools, Methods and Standardization. Saraiva, 2009.
Souza, Jose Orlando De Lima. 50 management tools: diagnose and solve problems. Christmas, 2021.
Marchall Junior, Isnard et al. Quality and Process Management. 1st edition, Rio de Janeiro, Editora FGV, 2012.
Neto, Manoel Veras De Sousa, Project Management: Project Model Canvas (PMC), Rio de Janeiro, Abreu's System Ltda, 2014.
Nicoletti, Maria Do Carmo; Camargo, Heloisa de Arruda. Fundamentals of Fuzzy Set Theory. Series Notes. 1st edition, Edufscar São Carlos, 2009.
Nogueira, Maycon Mariano. Applying Fuzzy Logic in Mobile Robot Control using Programmable Logic Devices and VHDL Language. Available at:<https://repositorio.unesp.br/bitstream/handle/11449/87069/nogueira_mm_me_ilha.pdf;jsessionid=7B18519E24E61D17D1C291496B8000EA?sequence=1>. Accessed: May 20, 2021.
Oliveira, Clair De. The Third Sector framework: doctrine and practice. Jundiaí, Paco Editorial, 2016.
Oliveira, Maria Suzie. Ethics in the Third Sector and the New Liberalism. Maceio, 2020.
Oliveira, Otávio J. et al. Quality Management: advanced topics. Cengage, São Paulo, Learning, 2020.
Padua, Elisabete Matallo Marchesini. Research Methodology: theoretical-practical approach. Papirus Publisher, 2016.
Passarini, Guisepe Ricardo. Productive Process Management through a systemic approach. SENAI - SP. São Paulo. 2014.
Paim, Rafael. et al. Process Management: thinking, acting and learning. 1st edition, Porto Alegre, Bookman, 2009.
Saucer, Claudio. Process Management in Practice. Leanpub, 2021. Available: http://leanpub.com//gestaoporprocesso – access: March 25, 2021 at 22:00 hours and 45 minutes.
Meadow, Darci. Project Control Planning. 8th edition, New file: Falconi editora, 2014.
Pradella, Simone; Furtado, João Carlos; Kipper, Liane Mählmann. Process Management: from theory to practice. 4th reprint, São Paulo, Atlas, 2016.
Project Management Institute (PMI) A Guide to the Project Management Body of Knowledge (PMBOK Guide)/. Sixth Edition, 2017.
Pimenta, Adinovam Henriques De Macedo Pimenta. Genetic Generation of Type Interval Fuzzy Classifier – 2. Available at: <https://repositorio.ufscar.br/bitstream/handle/ufscar/444/3199.pdf?sequence=1>. Accessed: May 20, 2021.
Ruggeri, Rene G. Project Management in the third sector. Brasport, Rio de Janeiro. 2011.
Slack, Nigel; Brandon-Jones, Alistair. Johnston, Robert. Production management. 8th edition, São Paulo, Atlas, 2018.
Sanches, Arthur Caldeira. Quality management. Cube Evolve, President Prudente, 2019.
Sordi, Jose Osvaldo De; Management by Process: an approach to modern administration. 4th edition, São Paulo, Saraiva, 2014.
Simões, Marcelo Godoy; Shaw, Ian S. Fuzzy Control and Modeling. Blucher: FAPESP, São Paulo, 2007.
Silva, Luciana Maria Da et al. State of the art of the fundamentals and ideas of Fuzzy Logic applied to Science and Technology. Available at: <https://periodicos.utfpr.edu.br/rbgeo/article/view/9365>. Accessed on: April 28, 2021.
Sousa, Carlos Pimentel De. Nebulous Logic; an introduction. 3rd Edition, publisher, 2014.
Sousa. Carlos Pimentel. Fuzzy in Excel. 1st edition, Fortaleza. Federal University of Ceará, 2016.
Tanscheit, Ricardo. Fuzzy Systems. Pontifical Catholic University of Rio de Janeiro.Available at:<http://www.inf.ufsc.br/~mauro.roisenberg/ine5377/leituras/ICA-Sistemas%20Fuzzy.pdf>. Accessed on: April 16, 2021.
Usirono, Carlos Hiroshi, Office of Processes. Brasport, city, 2015.
Valle, Rogério; Oliveira, Saulo Barbara De. Analysis and modeling of business processes. São Paulo: Atlas, 2012.
Weber, Leo; Klein, Pedro Antonio Trierweiler. Application of Fuzzy Logic in Software and Hardware. Ulbra, Canoas, 2003.
Yin, Robert K. Case Study: planning and methods. 5th edition, Bookman, Porto Alegre, 2015.
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Accepted 2021-10-10
Published 2021-10-01
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