@inproceedings{Amaral2025_2422,
  author = {Amaral, Tatiana Gondim do and Filho, Renato Rafael Del Grosso and Pessoni, Rúbia Cristina de Souza and Galo, Nadya Regina and Barkokebas, Beda},
  editor = {Seppänen, Olli and Koskela, Lauri and Murata, Koichi},
  title = {A Multi-criteria Decision Model for Classifying Best Practices to Reduce Making-do Waste},
  booktitle = {Proceedings of the 33rd Annual Conference of the International Group for Lean Construction (IGLC 33)},
  year = {2025},
  pages = {575--586},
  address = {Osaka and Kyoto, Japan},
  issn = {2789-0015},
  doi = {10.24928/2025/0277},
  url = {https://www.iglc.net/papers/details/2422},
  abstract = {This paper proposes a multi-criteria decision-making model, combining the Fuzzy-Delphi and TOPSIS techniques, to support managers in making decisions to determine management practices with the best impact to improve efficiency and reduce waste while guaranteeing the prerequisites of planned activities. The approach combined the opinions of decision-makers interviewed and later integrated into a decision matrix involving multiple criteria, the subjectivity of the views in classifying alternatives, and the weights assigned. The proposed model showed the diversity of the model's application and the importance of the results guaranteeing a complete kit for reducing making-do waste. It is concluded that the three best management solutions that most influence the guarantee of the prerequisite activities are process standardization, event simulation, and Lean practices.},
  keywords = {Improvisation, categories, impacts, making-do waste, civil construction.},
}