Optimizing Budget Deficit in Multi-Construction Projects Using Sequential Quadratic Programming

Abstract Construction companies frequently struggle with poor cash flow management of their projects. Financial terms, including retainage, advance payments, and interest rates, significantly impact the project’s cash flow. This study investigates the financial aspects of projects with close beginnings. In addition, considers how to deal with financial deficits by suggesting a multi-project scheduling optimization model to minimize maximum negative cash flow while maintaining maximum profit. Sequential quadratic programming algorithms (SQP) generate workable schedules that optimally use available resources. Several scenarios have been used to test and examine the model. The outcomes indicate a decrease in negative cash flow for company 1 from (-1,852,096) to (-1,817,485) and for company 2 from (-484,524) to (-459,769) in scenario 1. Furthermore, a decrease in negative cash flow to (-1,661,660) alongside a profit of (776,593) for company 1 and a decrease to (-434,970) alongside a profit of (141,228) for company 2 in scenario 2. On the other hand, a decrease in negative cash flow to (-1,698,992) alongside a profit of (786,243) for company 1 and a decrease to (-370,815) alongside a profit of (209,363) for company 2 in scenario 3.

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Publication Details

Journal
Civil and Environmental Engineering
Published
2024-12-01
DOI
https://doi.org/10.2478/cee-2024-0058
Citations
1
Primary Topic
Resource-Constrained Project Scheduling
Type
article
Field-Weighted Citation Impact
0.49
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article

Optimizing Budget Deficit in Multi-Construction Projects Using Sequential Quadratic Programming

Musaab Falih Hasan, Sawsan Rasheed Mohammed, Noor A. Abdul-Jabbar Al Sodani, Jihan Maan Salih
1 citations
Civil and Environmental Engineering
Resource-Constrained Project Scheduling
0.49
article

Optimizing Budget Deficit in Multi-Construction Projects Using Sequential Quadratic Programming

Musaab Falih Hasan, Sawsan Rasheed Mohammed, Noor A. Abdul-Jabbar Al Sodani, Jihan Maan Salih
article en
1 citations

Abstract

Abstract Construction companies frequently struggle with poor cash flow management of their projects. Financial terms, including retainage, advance payments, and interest rates, significantly impact the project’s cash flow. This study investigates the financial aspects of projects with close beginnings. In addition, considers how to deal with financial deficits by suggesting a multi-project scheduling optimization model to minimize maximum negative cash flow while maintaining maximum profit. Sequential quadratic programming algorithms (SQP) generate workable schedules that optimally use available resources. Several scenarios have been used to test and examine the model. The outcomes indicate a decrease in negative cash flow for company 1 from (-1,852,096) to (-1,817,485) and for company 2 from (-484,524) to (-459,769) in scenario 1. Furthermore, a decrease in negative cash flow to (-1,661,660) alongside a profit of (776,593) for company 1 and a decrease to (-434,970) alongside a profit of (141,228) for company 2 in scenario 2. On the other hand, a decrease in negative cash flow to (-1,698,992) alongside a profit of (786,243) for company 1 and a decrease to (-370,815) alongside a profit of (209,363) for company 2 in scenario 3.

Civil and Environmental EngineeringVol. 20(2)
University of Baghdad (IQ), Alrafidain University College (IQ), Middle Technical University (IQ)
Openalex Percentile: Top 28%
Resource-Constrained Project Scheduling
0.49
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Optimizing Budget Deficit in Multi-Construction Projects Using Sequential Quadratic Programming — Musaab Falih Hasan, Sawsan Rasheed Mohammed, et al. · Civil and Environmental Engineering (2024) | TGRS Research Map | TGRS