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Pereira, L. & Santos, J. (2018). Pereira problem solving. In M. Araújo (Ed.), ICOPEV International Conference on Project Economic Evaluation. (pp. 130-134). Guimarães: Universidade do Minho.

L. L. Pereira and J. Santos,  "Pereira problem solving", in ICOPEV Int. Conf. on Project Economic Evaluation, M. Araújo, Ed., Guimarães, Universidade do Minho, 2018, pp. 130-134

@inproceedings{pereira2018_1731867565589,
	author = "Pereira, L. and Santos, J.",
	title = "Pereira problem solving",
	booktitle = "ICOPEV International Conference on Project Economic Evaluation",
	year = "2018",
	editor = "M. Araújo",
	volume = "",
	number = "",
	series = "",
	pages = "130-134",
	publisher = "Universidade do Minho",
	address = "Guimarães",
	organization = "",
	url = "https://coutin68.wixsite.com/icopev2018"
}

TY  - CPAPER
TI  - Pereira problem solving
T2  - ICOPEV International Conference on Project Economic Evaluation
AU  - Pereira, L.
AU  - Santos, J.
PY  - 2018
SP  - 130-134
CY  - Guimarães
UR  - https://coutin68.wixsite.com/icopev2018
AB  - One of the current challenges in organizations is related to decision-making in adverse, uncertain and complex environments. Problem-solving approach is a process of
analysis that has been supporting managers’ decision-making. There are several problem-solving tools like the Fishbone diagram, Root Cause Analysis and 5 Why’s that allow an
investigation of the problem and its causes. However, due to its limitations, the solutions presented do not always lead to the best results for the organization. The proposed model "Pereira Problem Solving" ensures a better understanding of the problems and an identification of the best solutions. Through the control group technique (10 companies), the research aimed
to compare results between the ad hoc process used by managers to seek problem solutions and the "Pereira Problem Solving" process. After implementing the solutions which
resulted from each type of approach (ad hoc vs Pereira Problem Solving), the identified key performance indicator was measured to analyze the level of effectiveness of the proposed
model.
ER  -