@inproceedings{9f58664f6afe4a5389be025c74693ae2,
title = "Mixed Integer Linear Programming for Solving Time–Cost Trade-Off Problem of Infrastructure Project",
abstract = "A contribution is sought in the time–cost trade-off problem (TCTP) to determine a minimum project duration at minimum additional costs per acceleration. To achieve the objective, a model that minimizes the deadline of the linear time–cost trade-off problem (LTCTC) with generalized precedence relations (GPR) is proposed. The optimization model corresponds to a mixed integer linear program and is solved using GNU Linear Programming Kit (GLPK), validating, and contrasting the results of an artificial case adapted from the literature and a larger case corresponding to a road infrastructure project developed in Chile. The results guarantee the fulfillment of the objectives of minimizing the project duration, increasing the profitability without exceeding the available budget, without violating the precedence and lag time restrictions. It is concluded that the proposed model allows us to address the time–cost trade-off of a generalized project efficiently.",
keywords = "Classification, GPR, Linear programming, MILP, Parameters, TCTP",
author = "Rodrigo Leon and Daniel Morillo-Torres and Paolo Herrera and Hector Herrera and Gustavo Gatica and Gonzalo Aguila",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 17th International Conference on Information Technology and Applications, ICITA 2023 ; Conference date: 20-10-2022 Through 22-10-2022",
year = "2024",
doi = "10.1007/978-981-99-8324-7_51",
language = "English",
isbn = "9789819983230",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "607--615",
editor = "Abrar Ullah and Sajid Anwar and Davide Calandra and {Di Fuccio}, Raffaele",
booktitle = "Proceedings of International Conference on Information Technology and Applications - ICITA 2023",
address = "Germany",
}