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Project Scheduling a Critical Review of Both Traditional and Metaheuristic Techniques

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Computational Intelligence in Engineering and Project Management (CIIP 2023)

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Abstract

Project planning is a problem usually discussed in the different project management standards as an essential problem to be addressed from the project initiation stage. It is a problem that has traditionally been treated by formal methodologies. But current trends in project development have a greater focus on agile methodologies. This situation causes greater variability in project plans. In the particular case of BIM methodologies, the approach is aimed at achieving the simulation of the production process through virtual construction. In this context, in this work, a critical analysis of different approaches that deal with the construction of project schedules is carried out. In particular, the problem is analyzed from a hybrid perspective. The approach proposed by project management standards and the approach to scheduling problems raised by computer science are analyzed. As a result of the analysis, a group of lines open to research are proposed that combine traditional tendencies with metaheuristics.

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Authors and Affiliations

  1. Artificial Intelligence for a Sustainable Development Group, IADES, Havana, Cuba

    Pedro Yobanis Piñero Pérez, Iliana Pérez Pupo & Gaafar Sadeq Saeed Mahdi

  2. Vicerrectoría de Informatización, Universidad de Camagüey, Camagüey, Cuba

    Julio Madera Quintana

  3. Departamento de Ingeniería de La Construcción, Universidad Católica del Norte, Antofagasta, Chile

    Luis Alvarado Acuña

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  1. Pedro Yobanis Piñero Pérez
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Correspondence to Pedro Yobanis Piñero Pérez .

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Editors and Affiliations

  1. Artificial Intelligence for a Sustainable Development Group, IADES, Havana, Cuba

    Pedro Yobanis Piñero Pérez

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  3. Central University of Las Villas, Santa Clara, Cuba

    Rafael Bello Pérez

  4. Artificial Intelligence for a Sustainable Development Group, IADES, Havana, Cuba

    Iliana Pérez Pupo

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Piñero Pérez, P.Y., Pupo, I.P., Mahdi, G.S.S., Quintana, J.M., Acuña, L.A. (2024). Project Scheduling a Critical Review of Both Traditional and Metaheuristic Techniques. In: Piñero Pérez, P.Y., Kacprzyk, J., Bello Pérez, R., Pupo, I.P. (eds) Computational Intelligence in Engineering and Project Management. CIIP 2023. Studies in Computational Intelligence, vol 1134. Springer, Cham. https://doi.org/10.1007/978-3-031-50495-2_3

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