Journal of Construction Engineering, Management & Innovation - Golden Light Publishing ® | Trabzon

Journal of Construction Engineering, Management & Innovation


Muhammad Irfan Hafiz Zahoor Muhammad Abbas Yasir Ali

This study attempts to unveil and prioritize the factors affecting labor productivity in Pakistani construction industry. A triangulation strategy was adopted, comprised of a comprehensive literature review, data collection through a questionnaire survey from contractors, clients and consultants, and Delphi survey. Forty-one labor productivity factors, shortlisted through literature review, were ranked by 315 respondents based on their past experience. The relative importance index was calculated to determine the weightage of each factor. To validate the results, top fifteen factors were further analyzed using a three-round Delphi survey. The most significant labor productivity factors are identified as: shortage of skilled labor, payment delay by owner to contractor, unrealistic scheduling and expectation of labors performance, clarity of technical specification, and delay in wages payment to labor. Shortage of skilled labor remained on top in both the ranking techniques. The study has underlined certain deviations in the ranking of labor productivity factors, attained through the analysis of questionnaire survey data and Delphi analysis. The study’s results are envisaged to improve the labor productivity of building projects in Pakistan in terms of the project completion time and cost. The study’s findings can be generalized with care in other developing countries having similar work environment.

Kerim Koc Asli Pelin Gurgun

Construction contracts are always regarded as complex and voluminous documents that make it harder to extract required information, preventing its smooth functioning. Due to the recent technological advancements, automated and smart contracts can be considered as an alternative to the traditional contract documents that manage its provisions, obligations and clauses by itself. Since the adoption of smart contracts, which can only be performed with the whole participation of involved stakeholders, is limited in the construction industry, this study aims to investigate the stakeholder-associated drivers to implementing smart contracts. For this purpose, a framework based on fuzzy technique for order of preference by the similarity-to-ideal-solution (TOPSIS) is developed consisting of eighteen drivers to be prioritized. A number of eighteen experts, who have adequate experience in both construction industry and contract administration, contributed to this study. The results indicate that (i) simple layout to read, (ii) reduction in risks of clients, (iii) clarity in responsibility and risk allocation, (iv) easy to comprehend from various stakeholders, and (v) conflict, claim and dispute reduction were the top five drivers to implement smart contracts. The findings imply that other than its own advantages, the reasons to seek the adoption of smart contracts are mainly the deficiencies of the traditional contract documents. The findings of this study are expected to assist research and development departments of the firms seeking to implement smart contract, while addressing the gap in the literature in this context.

Bayram Ali TEMEL Hasan Basri BAŞAĞA

In the architecture, engineering, and construction (AEC) industry, a large number of laws and regulations define the technical features and standard requirements of a building. Checking the suitability of the building according to the rules in the building legislation is a human-oriented manual process that is largely based on 2D drawings. Therefore, this process is cumbersome, time consuming and error prone. Today, the use of Building Information Modeling (BIM) in the AEC sector continues to increase day by day. In a BIM-based construction project, digital models with 3D geometric and semantic information describe the building to be built extensively. This digital database prepared for the building can also be used to improve and partially automate the code compliance checking process. For this purpose, this data is exported with the Industry Foundation Classes (IFC) file format, and this IFC file format provides an excellent opportunity to automate the process of checking compliance. In this study, the IFC file format, which allows BIM-based buildings’ automatic code compliance checking to be performed, will be examined, and the meanings of the codes in the IFC file of the sample building model are examined in detail by matching them with the model. In addition, it is explained how to filter the data of the building model required for conducting conformity control from the IFC file. It is also shown how to check the compliance of storey height values of the sample building model designed within the scope of the application according to the relevant regulation rules. As a result of the examinations, data that would automatically ensure code compliance checking can be obtained from the IFC file format and the relationship of the IFC file structure with automatic code compliance checking has been revealed.

Murat Altun Rifat Sönmez Aslı Akçamete Güngör

In the implementation of construction projects, efficient resource planning plays a prominent role for developing cost-efficient solutions. Therefore, the decision makers should level the project resources with respect to the planned project schedule to reduce the project costs. In general, they usually focus on each project separately to optimize the project’s resource usage according to the intended resource objective function of the resource leveling problem. However, in real life, multiple projects with shared resources may be executed simultaneously. Hence, separate evaluations of resource leveling problem for each project may result in sub-optimal solutions due to negligence of the effects of the shared resources for the projects. Therefore, the projects using shared resources should be leveled together to reach the global optimum solution. In this study, an optimization model is developed using Mixed Integer Programming (MIP) to minimize peak requirements of different resource types in multiple construction projects. The performance of the proposed model is tested with four case study projects with different project settings. The solutions that are achieved with the proposed method are compared with the optimum solutions of the traditional leveling models which optimize the resource usage for each project separately. The results show that the proposed method considerably improves portfolio performance compared to the results of the traditional method based on separate leveling of projects.

Gozde Basak OZTURK Busra OZEN

The historic heritage composes the national identity, which is a reflection of social and cultural human activities in the past. Historical buildings and archaeological sites have been exposed to many damages over time. Preservation, conservation, and restoration (PCR) projects are costly in nature as they require a high degree of expertise and know-how. Since technology increases the efficiency of construction projects, the use of technology in conservation management may have a positive impact on PCR projects. The aim of this paper is to understand the use of technology in the archeology and historical building research (AHBR) in different countries and reveal gaps and trends in the research field. This study has adopted a holistic approach with bibliometric search and scientometric analysis such as document-based citation analysis, country-based citation analysis, and country-based bibliographic coupling analysis of scholarly research that use technology in the AHBR. Data about technology use in the AHBR were collected through an examination of articles that were selected from the Scopus database. Findings demonstrate that the use of technology in the AHBR makes it possible to obtain accurate information to manage the design, visualization, and construction throughout the life cycle of the historical building to increase efficiency in PCR projects. Technological developments contribute to the transfer of cultural heritage to technological platforms for sustainable and efficient PCR of built heritage environment. Therefore, the findings of this study may contribute to picture the research trend and gaps in the field as a guide to future research.