research-article

Evaluation of the functionality of the laws of motion in predicting the completion of Peruvian construction projects

Authors:

Luis Ronaldo Ricra Ricaldi,

Husber Nicol Yalli Clemente,

Jeiser Soto Llanco,

Giovene Perez Campomanes,

Sario Angel Chamorro Quijano,

Diego Cajachagua GuerrerosAuthors Info & Claims

MSIE '23: Proceedings of the 2023 5th International Conference on Management Science and Industrial Engineering

Pages 222 - 226

https://doi.org/10.1145/3603955.3603987

Published: 22 August 2023 Publication History

MSIE '23: Proceedings of the 2023 5th International Conference on Management Science and Industrial Engineering

Evaluation of the functionality of the laws of motion in predicting the completion of Peruvian construction projects

Pages 222 - 226

Abstract
References

Abstract

The research proposal analyzed different structural, road and sanitary construction projects, using existing files, with which the time prediction method with equations of motion was evaluated to analyze its application to construction projects in Peru. Projects with delays were chosen and their prediction efficiency was evaluated. The evaluation was carried out through a velocity and acceleration analysis, considering the project life cycle in four stages. The velocity, acceleration, average velocity and position of each stage were calculated using mathematical equations. The final result was an efficiency index of the prediction method. The proposed research offers a degree of efficiency, in the alternative of a prediction method for Peruvian construction projects, saving time and resources with an easy application, to infrastructure projects, roads and sanitation, in turn it can be applied in different places with similar characteristics.

References

[1]

S. Karki y B. Hadikusumo, «Machine learning for the identification of competent project managers for construction projects in Nepal», Construction Innovation, vol. 23, n.o 1, pp. 1-18, 2023.

[2]

L. Chen, Q. Lu, y D. Han, «A Bayesian-driven Monte Carlo approach for managing construction schedule risks of infrastructures under uncertainty», Expert Systems with Applications, vol. 212, 2023.

Digital Library

[3]

A. Celoza, D. P. De Oliveira, y F. Leite, «Role of BIM Contract Practices in Stakeholder BIM Implementation on AEC Projects», Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, vol. 15, n.o 2, 2023.

[4]

A. E. Muller, «The effect of machine learning tools for evidence synthesis on resource use and time-to-completion: protocol for a retrospective pilot study», Systematic Reviews, vol. 12, n.o 1, 2023.

[5]

Z. T. Kosztyán, G. Novák, R. Jakab, I. Szalkai, y C. Hegedűs, «A matrix-based flexible project-planning library and indicators», Expert Systems with Applications, vol. 216, 2023.

Digital Library

[6]

J. Babí Almenar, C. Petucco, G. Sonnemann, D. Geneletti, T. Elliot, y B. Rugani, «Modelling the net environmental and economic impacts of urban nature-based solutions by combining ecosystem services, system dynamics and life cycle thinking: An application to urban forests», Ecosystem Services, vol. 60, 2023.

[7]

D. Murguia, C. Vasquez, P. Demian, y R. Soetanto, «BIM Adoption among Contractors: A Longitudinal Study in Peru», Journal of Construction Engineering and Management, vol. 149, n.o 1, 2023.

[8]

C. Huaman-Orosco, A. A. Erazo-Rondinel, y R. F. Herrera, «Barriers to Adopting Lean Construction in Small and Medium-Sized Enterprises—The Case of Peru», Buildings, vol. 12, n.o 10, 2022.

[9]

S. Kermanshachi y A. Pamidimukkala, «Robustness Analysis of Total Project Cost and Schedule Delay and Overrun Indicators of Heavy Industrial Projects», Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, vol. 15, n.o 2, 2023.

[10]

G. Castelblanco, J. Guevara, D. Rojas, J. Correa, y K. Verhoest, «Environmental Impact Assessment Effectiveness in Public-Private Partnerships: Study on the Colombian Toll Road Program», Journal of Management in Engineering, vol. 39, n.o 2, 2023.

[11]

M. Bagherpour, H. Mardimamaqani, A. Fallahdizcheh, y H. Steyn, «Project scheduling and forecasting by laws of physical movement», 10.5267/j.jpm, pp. 97-108, 2019.

[12]

F. Poulsen, T. Hansen, y M. G. Reuter, «Predicting slow relaxation timescales in open quantum systems», Journal of Mathematical

[13]

Chemistry, vol. 60, n.o 8, pp. 1542-1554, 2022.

[14]

D. R. C. Guerreros, S. G. C. Quispe, P. C. G. Abregu, M. M. H. Mohamed, y S. A. C. Quijano, «Design of an Automatic Landslide and Earthquake Warning System in Rural Areas of Peru», presentado en 2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022, 2022, pp. 303-307.

[15]

F. Biondini y D. M. Frangopol, «Life-Cycle Performance of Civil Structure and Infrastructure Systems: Survey», Journal of Structural Engineering (United States), vol. 144, n.o 1, 2018.

Cited By

Guerreros DQuijano SMeza F(2024)Fuzzy Logic Model for the Evaluation of the Optimal Ready-Mixed Concrete Supplier Using a Fuzzy Neural Network in X-FUZZYInformation Management10.1007/978-3-031-64359-0_38(485-499)Online publication date: 18-Jul-2024
https://doi.org/10.1007/978-3-031-64359-0_38

Index Terms

Evaluation of the functionality of the laws of motion in predicting the completion of Peruvian construction projects

Index terms have been assigned to the content through auto-classification.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

MSIE '23: Proceedings of the 2023 5th International Conference on Management Science and Industrial Engineering

April 2023

375 pages

ISBN:9798400708381

DOI:10.1145/3603955

Copyright © 2023 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 August 2023

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Research-article
Research
Refereed limited

Conference

MSIE 2023

MSIE 2023: 2023 5th International Conference on Management Science and Industrial Engineering

April 27 - 29, 2023

Chiang Mai, Thailand

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

1
Total Citations
View Citations
24
Total Downloads

Downloads (Last 12 months)6
Downloads (Last 6 weeks)0

Reflects downloads up to 08 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Guerreros DQuijano SMeza F(2024)Fuzzy Logic Model for the Evaluation of the Optimal Ready-Mixed Concrete Supplier Using a Fuzzy Neural Network in X-FUZZYInformation Management10.1007/978-3-031-64359-0_38(485-499)Online publication date: 18-Jul-2024
https://doi.org/10.1007/978-3-031-64359-0_38

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

HTML Format

View this article in HTML Format.

Figures

Tables

Media

View Table of Conten