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Using the Analytic Hierarchy Process method to develop two efficiency indicators for the Food Acquisition Program – Milk modality
Author(s) -
Neves Josemir Araújo,
Rangel Adriano Henrique do Nascimento,
Neto Manoel Pereira,
Matos Marta Maria Souza,
Silva Rita de Cássia de Andrade,
Novaes Luciano Patto,
Urbano Stela Antas,
Paulino Hideljundes Macedo
Publication year - 2022
Publication title -
journal of multi‐criteria decision analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.462
H-Index - 47
eISSN - 1099-1360
pISSN - 1057-9214
DOI - 10.1002/mcda.1795
Subject(s) - analytic hierarchy process , process (computing) , modality (human–computer interaction) , computer science , hierarchy , principal component analysis , measure (data warehouse) , work (physics) , performance indicator , engineering , data mining , operations research , artificial intelligence , business , marketing , economics , mechanical engineering , market economy , operating system
This work describes the process of building two indicators in order to measure the efficiency of the Food Acquisition Program – Milk modality ( PAA‐ Milk) in the States which implement it. The Analytic Hierarchy Process (AHP) methodology was used to develop the first indicator, while the Principal Component Analysis was used as a tool for cutting and simplifying the structure of the first indicator to obtain the second indicator. The results demonstrate the great potential of the AHP tool together with the statistical tools to develop indicators to diagnose and monitor public policies in Brazil. The states of Alagoas, Paraíba, and Ceará presented the best efficiency in the performance of the Program, while Bahia and Pernambuco presented the worst results.