Optimizing Budget Deficit in Multi-Construction Projects Using Sequential Quadratic Programming
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 a...
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| Format: | Article |
| Language: | English |
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Sciendo
2024-12-01
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| Series: | Civil and Environmental Engineering |
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| Online Access: | https://doi.org/10.2478/cee-2024-0058 |
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| author | Hasan Musaab Falih Sodani Noor A. Abdul-Jabbar Al Salih Jihan Maan Mohammed Sawsan Rasheed |
| author_facet | Hasan Musaab Falih Sodani Noor A. Abdul-Jabbar Al Salih Jihan Maan Mohammed Sawsan Rasheed |
| author_sort | Hasan Musaab Falih |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-1adb0598ec204e4289dacb6494d5e67a |
| institution | Kabale University |
| issn | 2199-6512 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Civil and Environmental Engineering |
| spelling | doaj-art-1adb0598ec204e4289dacb6494d5e67a2025-02-02T15:47:53ZengSciendoCivil and Environmental Engineering2199-65122024-12-0120276778910.2478/cee-2024-0058Optimizing Budget Deficit in Multi-Construction Projects Using Sequential Quadratic ProgrammingHasan Musaab Falih0Sodani Noor A. Abdul-Jabbar Al1Salih Jihan Maan2Mohammed Sawsan Rasheed3General Directorate of Education Baghdad Rusafa First, Ministry of Education, IraqDepartment of Civil Engineering, Al-Rafidain University College, Baghdad, IraqInstitute of Technology-Baghdad, Middle Technical University, IraqDepartment of Civil Engineering, University of Baghdad, Baghdad, IraqConstruction 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.https://doi.org/10.2478/cee-2024-0058optimizingbudget deficitmulti-construction projectssequential quadratic programmingmaximum negative cash flow. |
| spellingShingle | Hasan Musaab Falih Sodani Noor A. Abdul-Jabbar Al Salih Jihan Maan Mohammed Sawsan Rasheed Optimizing Budget Deficit in Multi-Construction Projects Using Sequential Quadratic Programming Civil and Environmental Engineering optimizing budget deficit multi-construction projects sequential quadratic programming maximum negative cash flow. |
| title | Optimizing Budget Deficit in Multi-Construction Projects Using Sequential Quadratic Programming |
| title_full | Optimizing Budget Deficit in Multi-Construction Projects Using Sequential Quadratic Programming |
| title_fullStr | Optimizing Budget Deficit in Multi-Construction Projects Using Sequential Quadratic Programming |
| title_full_unstemmed | Optimizing Budget Deficit in Multi-Construction Projects Using Sequential Quadratic Programming |
| title_short | Optimizing Budget Deficit in Multi-Construction Projects Using Sequential Quadratic Programming |
| title_sort | optimizing budget deficit in multi construction projects using sequential quadratic programming |
| topic | optimizing budget deficit multi-construction projects sequential quadratic programming maximum negative cash flow. |
| url | https://doi.org/10.2478/cee-2024-0058 |
| work_keys_str_mv | AT hasanmusaabfalih optimizingbudgetdeficitinmulticonstructionprojectsusingsequentialquadraticprogramming AT sodaninooraabduljabbaral optimizingbudgetdeficitinmulticonstructionprojectsusingsequentialquadraticprogramming AT salihjihanmaan optimizingbudgetdeficitinmulticonstructionprojectsusingsequentialquadraticprogramming AT mohammedsawsanrasheed optimizingbudgetdeficitinmulticonstructionprojectsusingsequentialquadraticprogramming |