Optimizing Cash Flow of Construction Projects through Different Bid Pricing Schemes
Successful construction projects should meet the planning and design objectives within budget and time constraints. Planning and scheduling for the construction projects and their resources are essential tasks for overall project success. Cash, in particular, is an important resource for constructio...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | Arabic |
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Faculty of Engineering, Tanta University
2019-06-01
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| Series: | Journal of Engineering Research - Egypt |
| Subjects: | |
| Online Access: | https://erjeng.journals.ekb.eg/article_125507_bb55969715feb04afdb5c7d5d153c45f.pdf |
| _version_ | 1826994389727051776 |
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| author | Mohamed Gaber Emad Etman Haytham Sanad Mohamed Marzouk |
| author_facet | Mohamed Gaber Emad Etman Haytham Sanad Mohamed Marzouk |
| author_sort | Mohamed Gaber |
| collection | DOAJ |
| description | Successful construction projects should meet the planning and design objectives within budget and time constraints. Planning and scheduling for the construction projects and their resources are essential tasks for overall project success. Cash, in particular, is an important resource for construction companies. It is worth noting that while pricing bill of quantities in unit price contracts, the contractor might ignore the related cash flow which may be insufficient for contractor. Further, the resulted financial threats also might be ignored. Therefore, it is important for the contractor to have an overall optimized system to improve all financial aspects related to the contract. This paper presents a cash flow optimization model that aims at maximizing cumulative concurrent investment profit (CCIP) and minimizing maximum monthly overdrafts (OMax). The model utilizes Genetic Algorithms for optimization. The performance of the developed model is validated using an actual case study of "Beni Suef Power Station Project" located in Beni Suef, Egypt. |
| first_indexed | 2024-03-13T04:14:40Z |
| format | Article |
| id | doaj.art-7638791f90ec44c9bec1b2dd46f5e601 |
| institution | Directory Open Access Journal |
| issn | 2356-9441 2735-4873 |
| language | Arabic |
| last_indexed | 2025-02-18T09:17:57Z |
| publishDate | 2019-06-01 |
| publisher | Faculty of Engineering, Tanta University |
| record_format | Article |
| series | Journal of Engineering Research - Egypt |
| spelling | doaj.art-7638791f90ec44c9bec1b2dd46f5e6012024-11-02T22:10:40ZaraFaculty of Engineering, Tanta UniversityJournal of Engineering Research - Egypt2356-94412735-48732019-06-013June667510.21608/erjeng.2019.125507125507Optimizing Cash Flow of Construction Projects through Different Bid Pricing SchemesMohamed Gaber0Emad Etman1Haytham Sanad2Mohamed Marzouk3Demonstrator at Structural Eng. Dept., Faculty of Engineering, Tanta University, EgyptProfessor of Concrete Structures, Structural Eng. Dept., Faculty of Engineering, Tanta University, EgyptLecturer at Structural Eng. Dept., Faculty of Engineering, Tanta University, Tanta, EgyptProfessor of Construction Project Management, Structural Eng. Dept., Faculty of Engineering, Cairo University, EgyptSuccessful construction projects should meet the planning and design objectives within budget and time constraints. Planning and scheduling for the construction projects and their resources are essential tasks for overall project success. Cash, in particular, is an important resource for construction companies. It is worth noting that while pricing bill of quantities in unit price contracts, the contractor might ignore the related cash flow which may be insufficient for contractor. Further, the resulted financial threats also might be ignored. Therefore, it is important for the contractor to have an overall optimized system to improve all financial aspects related to the contract. This paper presents a cash flow optimization model that aims at maximizing cumulative concurrent investment profit (CCIP) and minimizing maximum monthly overdrafts (OMax). The model utilizes Genetic Algorithms for optimization. The performance of the developed model is validated using an actual case study of "Beni Suef Power Station Project" located in Beni Suef, Egypt.https://erjeng.journals.ekb.eg/article_125507_bb55969715feb04afdb5c7d5d153c45f.pdfconstruction projectscash flow, concurrent investment, cost estimating, bill of quantities, multiobjective optimization, non sorting genetic algorisms |
| spellingShingle | Mohamed Gaber Emad Etman Haytham Sanad Mohamed Marzouk Optimizing Cash Flow of Construction Projects through Different Bid Pricing Schemes Journal of Engineering Research - Egypt construction projects cash flow, concurrent investment, cost estimating, bill of quantities, multiobjective optimization, non sorting genetic algorisms |
| title | Optimizing Cash Flow of Construction Projects through Different Bid Pricing Schemes |
| title_full | Optimizing Cash Flow of Construction Projects through Different Bid Pricing Schemes |
| title_fullStr | Optimizing Cash Flow of Construction Projects through Different Bid Pricing Schemes |
| title_full_unstemmed | Optimizing Cash Flow of Construction Projects through Different Bid Pricing Schemes |
| title_short | Optimizing Cash Flow of Construction Projects through Different Bid Pricing Schemes |
| title_sort | optimizing cash flow of construction projects through different bid pricing schemes |
| topic | construction projects cash flow, concurrent investment, cost estimating, bill of quantities, multiobjective optimization, non sorting genetic algorisms |
| url | https://erjeng.journals.ekb.eg/article_125507_bb55969715feb04afdb5c7d5d153c45f.pdf |
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