Journal of Construction Engineering, Management & Innovation

Dimitrios D. Kantianis

The aim of the paper is to assist built environment’s clients and contractors towards more effective financial planning of building projects prior to contract execution. Contractors’ usual objective is to win the contract without having to bear any significant sunk cost related to producing detailed project-level financial forecasts at the tendering stage. However, reliable pre-contract financial information is considered as an essential input for project success. Thus, this study is analysing historical projects to collect actual time and revenue data from owner’s interim payments to the contractor, to develop standard curves (S-curves) for forecasting the cumulative value profile of small-sized to medium-sized private commercial projects. The sample consists of forty-seven (47) completed projects erected in the region of Attica, Greece, between 2018-2021. At first, the actual cumulative value profile as a percentage of elapsed production time is derived for each one of the 47 projects. Then, the research is consecutively using: i). the logarithmic (logit) transformation, and ii). simple linear regression to fit an idiographic S-curve for each specific project. A nomothetic prototype financial forecasting typical S-curve is next developed from the average values of constants a and b as previously used for fitting the 47 single idiographic profiles. In addition, a second nomothetic model is developed by initially fitting 4th degree polynomial equations on each actual curve and then by averaging the associated regression coefficients. Finally, the predictive accuracy of the new planning tools was checked against the actual project profiles, and both models proved to compare favourably against previous modelling attempts with mean predictive accuracy of 10.83% and 10.57%, respectively. To the author’s knowledge, this research initiates the development of ideal project planning S-curves from an adequate sample of past Greek building projects.

https://doi.org/10.31462/jcemi.2025.02089125

ASUQUO, OTOBONG EKONG OGWUELEKA

Construction projects in the public sector have been facing challenges in achieving cost efficiency and effective Supply Chain Integration (SCI). The lack of SCI in public sector construction projects can lead to increased costs, delays, and lower quality outcomes. The study investigated the influence of SCI practices on the cost performance of public sector construction projects. The survey data from a structured questionnaire administered to 354 construction professionals in Akwa Ibom and Rivers States were analysed using mean item score and ordinal regression. The results revealed Information Sharing among Supply Chain Partners, Customer Relationships, Leadership Management, Long-term Networking among Supply Chain Partners, and Just-in-Time Delivery as the most adopted SCI strategies. The study further revealed that Labour Cost, Cost Variance, Earned Value Management, Cost of Rework, and Return on Investment as the top five significant cost performance indicators. The study revealed a positive relationship between SCI and cost performance in public-sector construction projects. The Nagelkerke R² value of 0.883 suggests that a substantial portion of the cost performance variance can be attributed to how the supply chain is integrated. The study concludes that there is a need to adopt comprehensive and well-coordinated supply chain strategies focused on optimising cost performance in public sector projects. This provides practical implications for policymakers to initiate reforms to enhance supply chain integration in projects. The study provides a roadmap for implementing SCI practices in developing countries by focusing on the identified parameters.

https://doi.org/10.31462/jcemi.2025.02126145

Osman Hürol Türkakı

The primary purpose of resource-constrained project scheduling (RCPS) is to adjust activity ordering to minimize project durations. Various scientometric literature reviews are conducted. However, no essential research has been found in the literature that provides a bibliometric analysis, including a literature review, on the RCPS literature. It is claimed that this is the first study to provide a scientometric analysis of the RCPS literature, utilizing various software packages. Firstly, a bibliometric data file comprises 128 articles retrieved from the Web of Science (WoS) database. The top-cited authors and most frequently used keywords are listed based on the data file. In addition to scientometric studies in literature, keyword frequencies and word clouds for different periods are provided to display word usage frequencies and offer insights into the most popular topics during various periods. From that perspective, the popularity of the topic “Resource Leveling” has been diminishing over the last few decades. On the other hand, different techniques such as BIM and particle swarm optimization are emerging topics in the RCPS field. Besides, the publications on RCPS are clustered based on their citation statistics. The labels of the clusters are named after the titles of publications within the cluster, including trends in RCPS problems related to construction project management. Each cluster’s citation activities are given in a single plot based on the citation statistics. Future aspects of RCPS methodology are provided in the conclusion section.

https://doi.org/10.31462/jcemi.2025.02146162

Emine Demircioğlu Gizem Can

The lean management approach, which is based on the principles of lean thinking, focuses on the elimination of waste and the maximization of value. It has become a fundamental strategy in the management of construction projects. Lean construction applies various Lean Tools, Techniques, and Methods (LTTMs) within this framework. The main objective of this study is to identify the most appropriate LTTMs that can be applied during the pre-construction, construction, and post-construction processes of a building project. The aim of this study is to identify and categorize LTTMs that are most suitable for each process of the building life cycle. To achieve this, a Systematic Literature Review (SLR) was conducted, analyzing relevant scientific publications based on their titles, abstracts, and full texts. The identified LTTMs were then classified according to the corresponding processes of the building life cycle, and the findings were compared with those of similar studies. The results of the analysis revealed that a total of 42 LTTMs have been employed across various processes of the building life cycle. It was determined that 34 LTTMs are applicable during the pre-construction process, 26 during the construction process, and 8 during the post-construction process. The Last Planner System (LPS), recognized for its effectiveness in the planning process, has been determined as the only LTTM applicable across all three processes of the building life cycle: pre-construction, construction, and post-construction. Furthermore, it was observed that LPS can be implemented jointly during the pre-construction and construction processes, while both 5S and LPS can be used together during the construction and post-construction processes. This study is expected to be beneficial in identifying the most appropriate LTTMs for each process of the building life cycle and in enhancing these processes through their effective application.

https://doi.org/10.31462/jcemi.2025.02163184

Hüseyin Sözen Hatice Sözer

Construction and building sectors consume a considerable amount of energy and release greenhouse gases into the atmosphere as other industrial sectors. Thus, their energy consumption and greenhouse gas emission have to be kept under control. In this study, the entire life cycle of the selected building stock in a district that has 79 residential buildings together with their retrofitting process was examined via the life cycle assessment method, including the material production, building in use, and end of life stages. Three intensive studies were performed to provide rational data for LCA by developing GIS, BIM, and energy performance models of buildings. According to the results, the total primary energy demand of the building was decreased 41%, while the emission was reduced by 40% in the retrofitted version. The most energy-intensive life cycle phase was the building in use stage with an impact of 82% on energy consumption while the manufacturing stage 17% and the end of life stage 1%. In emission, use stage impact was 66%, the product 14%, and end of life 20%. Additionally, the most effective materials were brick and concrete. The energy recovery rate increased 0.83% in the retrofitted scenario due to applied recyclable materials during retrofitting.

https://doi.org/10.31462/jcemi.2025.02185208