Items with Index Term: resource planning
Aiyetan, Ayodeji; Das, Kumar Dillip and Ayodabo, Blessing (2026) Factors influencing procurement in construction: The role of clients and construction machinery in KwaZulu-Natal. Journal of Construction Business and Management, 8(S1), pp. 72-87. ISSN 2521-0165
Ansari, R (2019) Dynamic simulation model for project change-management policies: Engineering project case. Journal of Construction Engineering and Management, 145(7): 05019008, ISSN 0733-9364
Desgagné-Lebeuf, A; Lehoux, N and Beauregard, R (2022) Scheduling tools for the construction industry: Overview and decision support system for tool selection. International Journal of Construction Management, 22(14), pp. 2687-2698. ISSN 1562-3599
Dina Koutsikouri, D A A S (2006) Critical success factors for multidisciplinary engineering projects. In: Boyd, D (ed.) Proceedings of 22nd Annual ARCOM Conference, 4-6 September 2006, Birmingham, UK.
Doyle, A and Hughes, W P (2000) The influence of project complexity on estimating accuracy. In: Akintoye, A (ed.) Proceedings of 16th Annual ARCOM Conference, 6-8 September 2000, Glasgow, UK.
Elkabalawy, M and Moselhi, O (2022) Optimized resource-constrained method for project schedule compression. Engineering, Construction and Architectural Management, 29(5), pp. 2106-2129. ISSN 0969-9988
Garcia, R (2018) California energy policy alternatives for commercial buildings to create energy resiliency, reduce carbon emissions, and lessen dependency on electrical utilities for the future California economy. EdD thesis, Brandman University, USA.
Hanna, A S; Peterson, P and Lee, M J (2002) Benchmarking productivity indicators for electrical/mechanical projects. Journal of Construction Engineering and Management, 128(4), pp. 331-337. ISSN 0733-9364
Hegazy, T; Elhakeem, A and Elbeltagi, E (2004) Distributed scheduling model for infrastructure networks. Journal of Construction Engineering and Management, 130(2), pp. 160-167. ISSN 0733-9364
Hillebrandt, P M and Meikle, J L (1985) Resource planning for construction. Construction Management and Economics, 3(3), pp. 249-263. ISSN 01446193
Holmes, R and Droop, C S S (1983) Maintenance of local authority housing: 2. Work done, characteristics and resource planning. Construction Papers, 2(2), pp. 83-90. ISSN 0144-8587
Idowu, O S and Lam, K C (2020) Conceptual quantities estimation using bootstrapped support vector regression models. Journal of Construction Engineering and Management, 146(4): 04020018, ISSN 0733-9364
Ismail, F; Ruikar, K D; Carrillo, P and Anumba, C J (2009) Technology transfer in construction: Learning from the manufacturing industry. In: Dainty, A R J (ed.) Proceedings of 25th Annual ARCOM Conference, 7-9 September 2009, Nottingham, UK.
Jafari, Parinaz (2021) A framework for enhancing contract-related documentation in construction. PhD thesis, University of Alberta, Canada.
Karaa, F A and Nasr, A Y (1986) Resource management in construction. Journal of Construction Engineering and Management, 112(3), pp. 346-357. ISSN 0733-9364
Khalili, A (2013) An IFC-based framework for optimizing level of prefabrication in industrialized building systems. PhD thesis, National University of Singapore, Singapore.
Li, H; Chan, G; Skitmore, M and Huang, T (2015) A 4D automatic simulation tool for construction resource planning: A case study. Engineering, Construction and Architectural Management, 22(5), pp. 536-550. ISSN 0969-9988
Liu, C; Ji, W; Abourizk, S M and Siu, M F F (2019) Equipment logistics performance measurement using data-driven social network analysis. Journal of Construction Engineering and Management, 145(5): 04019033, ISSN 0733-9364
Liu, Jing (2018) Dual-level resource-constrained multi-project scheduling framework for prefabrication in construction. PhD thesis, University of Alberta, Canada.
Lu, M and Li, H (2003) Resource-activity critical-path method for construction planning. Journal of Construction Engineering and Management, 129(4), pp. 412-420. ISSN 0733-9364
Mohammadi, S; Tavakolan, M and Zahraie, B (2022) An intelligent simulation-based framework for automated planning of concrete construction works. Engineering, Construction and Architectural Management, 29(2), pp. 916-939. ISSN 0969-9988
Moon, Sungkon (2014) Dynamic control of supply chain quality to improve process performance in construction. PhD thesis, University of New South Wales, Australia.
Nasirian, A; Arashpour, M; Abbasi, B and Akbarnezhad, A (2019) Optimal work assignment to multiskilled resources in prefabricated construction. Journal of Construction Engineering and Management, 145(4): 1627, ISSN 0733-9364
Okuwoga, A A (1994) Construction cost escalation and resource planning in Nigeria: A case study of public sector housing projects 1975-90. PhD thesis, University College London, UK.
Ombwayo, J; Kidombo, H and Gakuu, C (2026) Moderating influence of stakeholder involvement on the relationship between project management lifecycle and performance of slum upgrading projects: A case of Nairobi city county, Kenya. International Journal of Construction Management, 26(1), pp. 1-11. ISSN 1562-3599
Petroutsatou, K and Giannoulis, P (2022) Analysis of construction machinery market: The case of Greece. International Journal of Construction Management, 22(9), pp. 1667-1674. ISSN 1562-3599
Samarghandi, H; Tabatabaei, S M M; Taabayan, P; Hashemi, A M and Willoughby, K (2016) Studying the reasons for delay and cost overrun in construction projects: The case of Iran. Journal of Construction in Developing Countries, 21(1), pp. 51-84. ISSN 1823-6499
Shah, R K (2011) Innovative methodology for location-based scheduling and visualisation of earthworks in road construction projects. PhD thesis, Teesside University, UK.
Shah, R K and Dawood, N (2011) An innovative approach for generation of a time location plan in road construction projects. Construction Management and Economics, 29(5), pp. 435-448. ISSN 1466433X
Shah, R K; Dawood, N; Dean, J and Castro, S (2009) A virtual construction model of 4d planning in road project. In: Dainty, A R J (ed.) Proceedings of 25th Annual ARCOM Conference, 7-9 September 2009, Nottingham, UK.
Singh, M M; Sawhney, A and Sharma, V (2017) Utilising building component data from BIM for formwork planning. Construction Economics and Building, 17(4), pp. 20-36. ISSN 2204-9029
Tatari, O; Castro-Lacouture, D and Skibniewski, M J (2007) Current state of construction enterprise information systems: Survey research. Construction Innovation, 7(4), pp. 310-319. ISSN 1471-4175
Tharachai, T (2004) Multiple project resource scheduling for construction. PhD thesis, University of Michigan, USA.
Thomas, A V and Sudhakumar, J (2014) Modelling masonry labour productivity using multiple regression. In: Raiden, A and Aboagye-Nimo, E (eds.) Proceedings of 30th Annual ARCOM Conference, 1-3 September 2014, Portsmouth, UK.
Tufte, E A (1986) Construction project resource management system. PhD thesis, North Dakota State University, USA.
Victar, H C; Perera, B A K S; Palihakkara, A D and Dewagod, K G (2024) Roles and competencies of quantity surveyors in achieving a circular built environment: An investigation according to 3r principles. Smart and Sustainable Built Environment, 13(4), pp. 1015-1040. ISSN 2046-6099
Vyčítal, M (2019) On BIM based automatized nD modelling for construction management. PhD thesis, Czech Technical University, Czech Republic.
Windapo, A; Moghayedi, A; Oliphant, D and Adediran, A (2018) Exploring the components of cost on construction projects. Journal of Construction Business and Management, 2(2), pp. 42-50. ISSN 2521-0165
Wu, Lingzi (2021) Enhancing data-driven applications in construction. PhD thesis, University of Alberta, Canada.
Yin, X; Chen, Y; Bouferguene, A; Zaman, H; Al-Hussein, M and Russell, R (2020) Data-driven framework for modeling productivity of closed-circuit television recording process for sewer pipes. Journal of Construction Engineering and Management, 146(8): 04020093, ISSN 0733-9364
Zuo, F; Zio, E and Yuan, Y (2022) Risk-response strategy optimization considering limited risk-related resource allocation and scheduling. Journal of Construction Engineering and Management, 148(11): 04022123, ISSN 0733-9364
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