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Abdeen, F N, Gunatilaka, R N, Sepasgozar, S M E and Edwards, D J (2024) The usability of a novel mobile augmented reality application for excavation process considering safety and productivity in construction. Construction Innovation, 24(04), 892-911.
AbdulLateef, O, Sanmargaraja, S, Oni, O, Anavhe, P and Mewomo, C M (2024) An association rule mining model for the application of construction technologies during COVID-19. International Journal of Construction Management, 24(04), 443–53.
Ahmadian, F F A, Rashidi, T H, Akbarnezhad, A and Waller, S T (2017) BIM-enabled sustainability assessment of material supply decisions. Engineering, Construction and Architectural Management, 24(04), 668-95.
Al-Hammad, A M, Al-Mubaiyadh, S and Mahmoud, T (1996) Public versus private sector's assessment of problems facing the building maintenance industry in Saudi Arabia. Building Research & Information, 24(04), 245–54.
Alzraiee, H (2024) Quantifying labour impact cost due to change orders. International Journal of Construction Management, 24(04), 467–75.
Arogundade, S, Dulaimi, M and Ajayi, S (2024) Exploring the challenges impeding construction process carbon reduction in the UK. International Journal of Construction Management, 24(04), 422–31.
Bajpai, A and Misra, S C (2024) Evaluation of success factors to implement digitalization in the construction industry. Construction Innovation, 24(04), 865-91.
Best, R and Langston, C (2006) Evaluation of construction contractor performance: a critical analysis of some recent research. Construction Management and Economics, 24(04), 439-45.
Buijs, A and Silvester, S (1996) Demonstration projects and sustainable housing. Building Research & Information, 24(04), 195–202.
Cheung, F K T and Skitmore, M (2006) A modified storey enclosure model. Construction Management and Economics, 24(04), 391-405.
Daniel, E I, Oshodi, O, Dabara, D and Dimka, N (2024) Towards closing the housing gap in the UK: exploration of the influencing factors and the way forward. Construction Innovation, 24(04), 965-85.
Das, D K (2024) Conceptualising environmental justice in the construction of road transport infrastructure in the global South: An Indian context. International Journal of Construction Management, 24(04), 400–10.
Do, S T, Nguyen, V T and Banlasan, D (2024) Social media sensing framework for urban infrastructure management: a Philippine case study. Construction Innovation, 24(04), 1117-36.
Ejohwomu, O A, Oshodi, O S and Lam, K C (2017) Nigeria’s construction industry: Barriers to effective communication. Engineering, Construction and Architectural Management, 24(04), 652-67.
Ekanayake, B, Ahmadian Fard Fini, A, Wong, J K W and Smith, P (2024) A deep learning-based approach to facilitate the as-built state recognition of indoor construction works. Construction Innovation, 24(04), 933-49.
Enshassi, A (1996) Training for Palestinian engineers to face the challenges of multinational enterprises in the Gaza Strip. Building Research & Information, 24(04), 222–7.
GhaffarianHoseini, A, Tien, D D, Naismith, N, Tookey, J and GhaffarianHoseini, A (2017) Amplifying the practicality of contemporary building information modelling implementations for New Zealand green building certification (green star). Engineering, Construction and Architectural Management, 24(04), 696-714.
Golabchi, H and Hammad, A (2024) Estimating labor resource requirements in construction projects using machine learning. Construction Innovation, 24(04), 1048-65.
Guerra, B C, Koo, H J, Caldas, C and Leite, F (2024) Prediction of waste diversion and identification of trends in construction and demolition waste data using data mining. International Journal of Construction Management, 24(04), 374–83.
Gunning, J G and Cooke, E (1996) The influence of occupational stress on construction professionals. Building Research & Information, 24(04), 213–22.
Gupta, S, Jha, K N and Vyas, G (2024) Construction and demolition waste causative factors in building projects: Survey of the Indian construction industry experiences. International Journal of Construction Management, 24(04), 432–42.
Hassanein, A A G (1996) Factors affecting the bidding behaviour of contractors in Egypt. Building Research & Information, 24(04), 228–36.
Hassanein, A A G and Hakam, Z H R (1996) A bidding decision index for construction contractors. Building Research & Information, 24(04), 237–44.
Hu, X and Liu, C (2017) Total factor productivity measurement with carbon reduction. Engineering, Construction and Architectural Management, 24(04), 575-92.
Huang, Y-L and Chou, S-P (2006) Valuation of the minimum revenue guarantee and the option to abandon in BOT infrastructure projects. Construction Management and Economics, 24(04), 379-89.
Jiang, X, Zhou, H, Li, M, Lu, K, Lyu, S, Omrani, S and Skitmore, M (2024) Sustainable construction projects management in the AEC industry: Analysis and visualization. International Journal of Construction Management, 24(04), 384–99.
Johnson, C, Lizarralde, G and Davidson, C H (2006) A systems view of temporary housing projects in post-disaster reconstruction. Construction Management and Economics, 24(04), 367-78.
Kazemi, R M, Riley, D, Asadi, S and Delgoshaei, P (2017) Improving the performance profile of energy conservation measures at the Penn State University Park campus. Engineering, Construction and Architectural Management, 24(04), 610-28.
Kindangen, J I (1996) Artificial neural networks and naturally ventilated buildings. Building Research & Information, 24(04), 203–8.
Malla, V (2024) Structuration of lean-agile integrated factors for construction projects. Construction Innovation, 24(04), 986-1004.
Nabawy, M and Gouda Mohamed, A (2024) Risks assessment in the construction of infrastructure projects using artificial neural networks. International Journal of Construction Management, 24(04), 361–73.
Oke, A E, Aliu, J, Onajite, S and Simeon, M (2024) Success factors of digital technologies (DT) tools adoption for sustainable construction in a developing economy. Construction Innovation, 24(04), 950-64.
Oke, A E, Aliu, J, Tunji-Olayeni, P and Abayomi, T (2024) Application of gamification for sustainable construction: an evaluation of the challenges. Construction Innovation, 24(04), 1066-84.
Olugboyega, O, Ilesanmi, K E, Oseghale, G E and Aigbavboa, C (2024) The link between construction apps’ acceptance and digital attributes of construction professionals: perspectives from digital competence model. Construction Innovation, 24(04), 912-32.
Owojori, O M, Okoro, C and Chileshe, N (2024) Actualising social sustainability through adaptive reuse innovations within the context of sustainable development. International Journal of Construction Management, 24(04), 411–21.
Panahi, B, Moezzi, E, Preece, C N and Wan, Z W N (2017) Value conflicts and organizational commitment of internal construction stakeholders. Engineering, Construction and Architectural Management, 24(04), 554-74.
Parchami, J M and Shoar, S (2017) A hybrid SD-dematel approach to develop a delay model for construction projects. Engineering, Construction and Architectural Management, 24(04), 629-51.
Puffer, S M, Zadeh, A A and Peng, Y (2024) Awareness of the global sand crisis and sand substitutes in the construction industry in the United States and Canada: A stakeholder analysis. International Journal of Construction Management, 24(04), 454–66.
Rahmani, F, Maqsood, T and Khalfan, M (2017) An overview of construction procurement methods in Australia. Engineering, Construction and Architectural Management, 24(04), 593-609.
Silveira, B F and Costa, D B (2024) Method for automating the processes of generating and using 4D BIM models integrated with location-based planning and Last Planner® System. Construction Innovation, 24(04), 1005-25.
Stewart, R A and Spencer, C A (2006) Six-sigma as a strategy for process improvement on construction projects: a case study. Construction Management and Economics, 24(04), 339-48.
Tang, C M, Wong, C W Y, Leung, A Y T and Lam, K C (2006) Selection of funding schemes by a borrowing decision model: a Hong Kong case study. Construction Management and Economics, 24(04), 349-65.
- Type: Journal Article
- Keywords: Construction firm; genetic algorithm; loan and finance; optimization
- ISBN/ISSN: 0144-6193
- URL: https://doi.org/10.1080/01446190500434906
- Abstract:
In financial decision-making, a number of mathematical models have been developed for financial management in construction. However, optimizing both qualitative and quantitative factors and the semi-structured nature of construction finance optimization problems are key challenges in solving construction finance decisions. The selection of funding schemes by a modified construction loan acquisition model is solved by an adaptive genetic algorithm (AGA) approach. The basic objectives of the model are to optimize the loan and to minimize the interest payments for all projects. Multiple projects being undertaken by a medium-size construction firm in Hong Kong were used as a real case study to demonstrate the application of the model to the borrowing decision problems. A compromise monthly borrowing schedule was finally achieved. The results indicate that Small and Medium Enterprise (SME) Loan Guarantee Scheme (SGS) was first identified as the source of external financing. Selection of sources of funding can then be made to avoid the possibility of financial problems in the firm by classifying qualitative factors into external, interactive and internal types and taking additional qualitative factors including sovereignty, credit ability and networking into consideration. Thus a more accurate, objective and reliable borrowing decision can be provided for the decision-maker to analyse the financial options.
Thomas, A V, Kalidindi, S N and Ganesh, L S (2006) Modelling and assessment of critical risks in BOT road projects. Construction Management and Economics, 24(04), 407-24.
Uzun, C and Cangür, R E (2024) An ontological assessment proposal for architectural outputs of generative adversarial network. Construction Innovation, 24(04), 1165-84.
Wang, K, Guo, F, Zhou, R and Qian, L (2024) Implementation of augmented reality in BIM-enabled construction projects: a bibliometric literature review and a case study from China. Construction Innovation, 24(04), 1085-116.
Wilson, J G and Gupta, N K (1996) Assessment of structure formation in fresh concrete by measurement of its electrical resistance. Building Research & Information, 24(04), 209–12.
Wong, J T Y and Hui, E C M (2006) Construction project risks: further considerations for constructors' pricing in Hong Kong. Construction Management and Economics, 24(04), 425-38.
Wuni, I Y and Mazher, K M (2024) Ending the suitability quantification dilemma: intelligent decision support system for modular integrated construction in a high-density metropolis. Construction Innovation, 24(04), 1026-47.
Zoleykani, M J, Abbasianjahromi, H, Banihashemi, S, Tabadkani, S A and Hajirasouli, A (2024) Extended reality (XR) technologies in the construction safety: systematic review and analysis. Construction Innovation, 24(04), 1137-64.