Exact solution procedures for project financing cost distribution: a joint perspective study on payment scheduling with discounted time/cost trade-offs

Published: 5 February 2024| Version 3 | DOI: 10.17632/752gg2p433.3
Majid Yazdani


We are delighted to share the datasets created for the following research papers: 1. "An Exact Decomposition Technique for Deadline-Constrained Discrete Time/Cost Trade-off Problem with Discounted Cash Flows" - Published in Computers and Operations Research - (https://doi.org/10.1016/j.cor.2023.106491) - The dataset in the "DTCTP-NPV" folder has been meticulously organized to align with the experiments conducted in the paper. 2. "Exact Solution Procedures for Project Financing Cost Distribution: A Joint Perspective Study on Payment Scheduling with discounted time/cost trade-offs" - Submitted to Computers and Operations Research (DOI: to be updated when accepted) - The same dataset of DTCTP-NPV for the first submodule and the "DIF" folder dataset have been meticulously organized to align with the experiments conducted in the paper. Each dataset instance adheres to the instructions outlined in both papers (refer to Section 5 in each paper) and is categorized based on the specific settings explored (refer to Table 2 in the first paper and Table 1 in the second paper). Notably, we have included solutions for 32,400 introduced settings using the AGBD algorithm for the first paper and BBCP as the superior algorithm for the second paper. Additionally, 23,400 instances of the second submodule of paper 2, where CP shows superiority over other solution procedures, have been uploaded separately for each setting. For a comprehensive overview of the results, please refer to the corresponding tables presented in the manuscript. A readme file in the root folder provides an introduction to the file structure and instructions for usage.



Universiteit Gent Faculteit Economie en Bedrijfskunde


Discrete Optimization, Project Scheduling, Time-Trade-Off, Exact Solutions, Net Present Value, Decomposition Algorithms, Cost of Capital, Financing Policy