TY - JOUR
T1 - CURRENT TRENDS IN RESEARCH METHODS FOR ENGINEERING
T2 - A CONTEMPORARY STUDY
AU - Romero, Miguel Ángel Medina
AU - Quispe, Wilson Wily Sardon
AU - Cruz-Mamani, Wilson
AU - Alarcón, Mercedes Alejandrina Collazos
AU - Ancajima, Juan Carlos Zapata
AU - Quiñones-Negrete, Magaly
AU - Aparco, Julián Gutiérrez
AU - Franco, Jose Alberto Aguilar
AU - Hernández, Fredy Alberto Hernández
AU - Quispe, Isaac Merino
N1 - Publisher Copyright:
© 2023 Regional Association for Security and crisis management.
PY - 2023
Y1 - 2023
N2 - This study is devoted to reviewing and analyzing current trends in engineering research methods, concentratingon modeling and simulation, machine learning, artificial intelligence, and complex systems engineering. Selected and analyzed academic articles published within the last five years were used to create a critical analysis. Despite the associated challenges, such as the need for new competencies and resources, the results indicated that these emergent methods significantly impact the engineering field. However, significant voids were also identified, including the inability to solve engineering problems innovatively and efficiently. This study concludes by emphasizing the need for additional in-depth research into these trends and their effects on various engineering disciplines.
AB - This study is devoted to reviewing and analyzing current trends in engineering research methods, concentratingon modeling and simulation, machine learning, artificial intelligence, and complex systems engineering. Selected and analyzed academic articles published within the last five years were used to create a critical analysis. Despite the associated challenges, such as the need for new competencies and resources, the results indicated that these emergent methods significantly impact the engineering field. However, significant voids were also identified, including the inability to solve engineering problems innovatively and efficiently. This study concludes by emphasizing the need for additional in-depth research into these trends and their effects on various engineering disciplines.
KW - Artificial Intelligence
KW - Complex Systems Engineering
KW - Machine Learning
KW - Modeling and Simulation
KW - Research Methods in Engineering
UR - http://www.scopus.com/inward/record.url?scp=85170846290&partnerID=8YFLogxK
U2 - 10.31181/oresta/0601128
DO - 10.31181/oresta/0601128
M3 - Article
AN - SCOPUS:85170846290
SN - 2620-1607
VL - 6
SP - 274
EP - 292
JO - Operational Research in Engineering Sciences: Theory and Applications
JF - Operational Research in Engineering Sciences: Theory and Applications
IS - 1
ER -