Ibrahim Yitmen received his PhD in Building Technology-Construction Management from Istanbul Technical University-Turkey Faculty of Architecture in 2002. He spent 11 years as a faculty member at European University of Lefke-North Cyprus where he has been appointed as Associate Professor of Project and Construction Management. In 2014, he joined to Eastern Mediterranean University-North Cyprus and served as the coordinator of Construction Management Division at Department of Civil Engineering. He has been employed at the School of Engineering in Jönköping University since February 2018, as an Associate Professor of Management in Construction Production.Ibrahim Yitmen's research focus is mainly on Innovation in Construction involving socio-technical issues i.e organizational capabilities regarding digital transformation in AEC industry. Recent special interest is on Blockchain technology in Construction, Automated BIM-based Construction Project Progress Monitoring, BIM-based Collaborative Working, Risk Assessment in Large -Scale Transport Infrastructure Projects, and Stakeholders Engagement in Large- Scale Transport Infrastructure Projects.
Civil Engineering and Environmental Systems, Jan 26, 2020
ABSTRACT Large-scale bridge projects (LSBPs) have emerged due to the gradually increasing transpo... more ABSTRACT Large-scale bridge projects (LSBPs) have emerged due to the gradually increasing transportation needs of the connections between isolated regions. In planning, construction or completion of today’s LSBPs, responses are applied to risks arising in areas such as financial, design, environmental and managerial. The main objective of this study is to prioritise the risk responses from the contractors’ point of view used in LSBPs in Europe and the Middle East by using the analytical network process (ANP). The priorities obtained separately for Europe and the Middle East were compared between each other. The results display that Europe and the Middle East include both common and different risk responses. Two case studies, one in each region, have been conducted to further support the priority values acquired in this study. The priorities and responses obtained in this study can be used as standard risk response list for the prevention or elimination of risks during the planning, construction or completion phases of projects to be implemented in the field of LSBPs in various countries. Lastly, the priorities obtained in this study could be a mirror to detect or juxtapose changes in future studies in the same field.
The normal development of “smart buildings,” which calls for integrating sensors, rich data, and ... more The normal development of “smart buildings,” which calls for integrating sensors, rich data, and artificial intelligence (AI) simulation models, promises to usher in a new era of architectural concepts. AI simulation models can improve home functions and users’ comfort and significantly cut energy consumption through better control, increased reliability, and automation. This article highlights the potential of using artificial intelligence (AI) models to improve the design and functionality of smart houses, especially in implementing living spaces. This case study provides examples of how artificial intelligence can be embedded in smart homes to improve user experience and optimize energy efficiency. Next, the article will explore and thoroughly analyze the thorough analysis of current research on the use of artificial intelligence (AI) technology in smart homes using a variety of innovative ideas, including smart interior design and a Smart Building System Framework based on digit...
Compwood 2019 International Conference on Computational Methods in Wood Mechanics – from Material Properties to Timber Structures.ECCOMAS Thematic Conference, June 17-19, 2019, Växjö, Sweden., Apr 29, 2019
Serviceability in terms of springiness, vibration and deflection [1], as well as sustainability i... more Serviceability in terms of springiness, vibration and deflection [1], as well as sustainability in terms of climate impact and costs [2] have been identified as the most important aspects for appropriate functioning in residential multi-storey timber-buildings. Thus, the aim of this study is focused on product development of a timber-concrete composite (TCC) floor system by 1) enhancing serviceability performances of the floor for larger spans (above 6 m) in terms of stiffness and dynamic response, and 2) reducing both climate impact (CO2-emissions) and costs, by optimizing material usage. As the case study a timber structure of a residential multi-storey building, including concrete ground floor and shaft, with the overall dimensions ܮൈܹൈܪൌ30ൈ11ൈ14 ሾ݉ଷሿ has been studied. The geometry of the load bearing structural elements has been modelled using finite element programs. As serviceability criteria for the floors, the deflection due to a point load was chosen. The deflections were related to comfort classes given in [3] and transverse load distribution was taken into account according to [4]. The deflection and effective bending stiffness (EIef in EC5 Annex B) were chosen as objective functions, while thickness of concrete slab and shear stiffness of the connection between glulam beam and concrete slab were chosen as design variables in a multi-objective optimization. The relationship between connection stiffness and height of the concrete slab for comfort class B can be seen in Figure 1. In the figure the cross-section of the TCC floor structure, with a span of 7.5 m, is also depicted. Figure 1: Connection stiffness-concrete thickness relationship and cross-section for the TCC floor. After optimization, a multi-criteria analysis was applied to select a design solution from the Pareto optimal front, satisfying some subjective preferences of the stakeholders for value-driven design. The results in this study integrates serviceability, environmental and economic performances for value-driven design and supports decision making in the early phases of a project, where various alternatives can be analyzed and evaluated
The purpose of this study is to investigate the influence of virtual collaboration on project pro... more The purpose of this study is to investigate the influence of virtual collaboration on project progress monitoring in international construction projects. The research is based on a survey of contracting and engineering consulting firms in the Middle East, Mid-Asia, Europe, North America, and Far East. The useable survey comprised 326 individual responses from 500 distributed, giving a response rate of 65.2 percent. Structural equation modelling (SEM) was proposed as an effective tool to identify the relations between various factors of project progress monitoring, virtual collaboration, and project performance control. The results revealed that there was a strongly significant relationship between virtual collaboration and project performance (time, cost and quality) control. The research findings support the virtual collaborative working environments, as the output of an automated monitoring system is real-time, accurate, and cost effective.
International Journal of Civil Engineering, Dec 10, 2012
ABSTRACT Learning rapidly and competently has become a pre-eminent strategy for improving organiz... more ABSTRACT Learning rapidly and competently has become a pre-eminent strategy for improving organizational performance in the new knowledge era. Improving dynamic learning capability is an exclusive strategy for corporate success in construction industry. Thus engineering design firms should implement OL to accomplish a state of readiness for change and develop a competence to respond and identify future business potentials. This study aims to analyze the relationship between organizational learning (OL) and performance improvement (PI) in civil engineering design firms of Turkish construction industry. OL structure in engineering design firms incorporates five constructs: organizational environment, strategy development and implementation, supportive leadership, leveraging knowledge, and learning capability. The empirical data was collected through a questionnaire survey conducted to engineering design firms registered to the Turkish Chamber of Civil Engineers. The hypothesized model relationships were tested using Structural Equation Modeling (SEM). The results show that each of the variables has a different role and significant positive impact on the OL process and organizational PI. The variables "Supportive leadership" and "Learning capability" proved to be strongly significant and positively related to organizational performance in engineering design firms. In engineering design firms, supportive leadership is needed in order to establish a participative cultural environment that helps design a new form of organization which emphasizes learning, flexibility, and rapid response. Learning capability is the potential to explore and exploit knowledge through learning flows that make possible the development, evolution and use of knowledge stocks enacting engineering design firms and their members to add value to the design business.
Civil Engineering and Environmental Systems, Jan 26, 2020
ABSTRACT Large-scale bridge projects (LSBPs) have emerged due to the gradually increasing transpo... more ABSTRACT Large-scale bridge projects (LSBPs) have emerged due to the gradually increasing transportation needs of the connections between isolated regions. In planning, construction or completion of today’s LSBPs, responses are applied to risks arising in areas such as financial, design, environmental and managerial. The main objective of this study is to prioritise the risk responses from the contractors’ point of view used in LSBPs in Europe and the Middle East by using the analytical network process (ANP). The priorities obtained separately for Europe and the Middle East were compared between each other. The results display that Europe and the Middle East include both common and different risk responses. Two case studies, one in each region, have been conducted to further support the priority values acquired in this study. The priorities and responses obtained in this study can be used as standard risk response list for the prevention or elimination of risks during the planning, construction or completion phases of projects to be implemented in the field of LSBPs in various countries. Lastly, the priorities obtained in this study could be a mirror to detect or juxtapose changes in future studies in the same field.
The normal development of “smart buildings,” which calls for integrating sensors, rich data, and ... more The normal development of “smart buildings,” which calls for integrating sensors, rich data, and artificial intelligence (AI) simulation models, promises to usher in a new era of architectural concepts. AI simulation models can improve home functions and users’ comfort and significantly cut energy consumption through better control, increased reliability, and automation. This article highlights the potential of using artificial intelligence (AI) models to improve the design and functionality of smart houses, especially in implementing living spaces. This case study provides examples of how artificial intelligence can be embedded in smart homes to improve user experience and optimize energy efficiency. Next, the article will explore and thoroughly analyze the thorough analysis of current research on the use of artificial intelligence (AI) technology in smart homes using a variety of innovative ideas, including smart interior design and a Smart Building System Framework based on digit...
Compwood 2019 International Conference on Computational Methods in Wood Mechanics – from Material Properties to Timber Structures.ECCOMAS Thematic Conference, June 17-19, 2019, Växjö, Sweden., Apr 29, 2019
Serviceability in terms of springiness, vibration and deflection [1], as well as sustainability i... more Serviceability in terms of springiness, vibration and deflection [1], as well as sustainability in terms of climate impact and costs [2] have been identified as the most important aspects for appropriate functioning in residential multi-storey timber-buildings. Thus, the aim of this study is focused on product development of a timber-concrete composite (TCC) floor system by 1) enhancing serviceability performances of the floor for larger spans (above 6 m) in terms of stiffness and dynamic response, and 2) reducing both climate impact (CO2-emissions) and costs, by optimizing material usage. As the case study a timber structure of a residential multi-storey building, including concrete ground floor and shaft, with the overall dimensions ܮൈܹൈܪൌ30ൈ11ൈ14 ሾ݉ଷሿ has been studied. The geometry of the load bearing structural elements has been modelled using finite element programs. As serviceability criteria for the floors, the deflection due to a point load was chosen. The deflections were related to comfort classes given in [3] and transverse load distribution was taken into account according to [4]. The deflection and effective bending stiffness (EIef in EC5 Annex B) were chosen as objective functions, while thickness of concrete slab and shear stiffness of the connection between glulam beam and concrete slab were chosen as design variables in a multi-objective optimization. The relationship between connection stiffness and height of the concrete slab for comfort class B can be seen in Figure 1. In the figure the cross-section of the TCC floor structure, with a span of 7.5 m, is also depicted. Figure 1: Connection stiffness-concrete thickness relationship and cross-section for the TCC floor. After optimization, a multi-criteria analysis was applied to select a design solution from the Pareto optimal front, satisfying some subjective preferences of the stakeholders for value-driven design. The results in this study integrates serviceability, environmental and economic performances for value-driven design and supports decision making in the early phases of a project, where various alternatives can be analyzed and evaluated
The purpose of this study is to investigate the influence of virtual collaboration on project pro... more The purpose of this study is to investigate the influence of virtual collaboration on project progress monitoring in international construction projects. The research is based on a survey of contracting and engineering consulting firms in the Middle East, Mid-Asia, Europe, North America, and Far East. The useable survey comprised 326 individual responses from 500 distributed, giving a response rate of 65.2 percent. Structural equation modelling (SEM) was proposed as an effective tool to identify the relations between various factors of project progress monitoring, virtual collaboration, and project performance control. The results revealed that there was a strongly significant relationship between virtual collaboration and project performance (time, cost and quality) control. The research findings support the virtual collaborative working environments, as the output of an automated monitoring system is real-time, accurate, and cost effective.
International Journal of Civil Engineering, Dec 10, 2012
ABSTRACT Learning rapidly and competently has become a pre-eminent strategy for improving organiz... more ABSTRACT Learning rapidly and competently has become a pre-eminent strategy for improving organizational performance in the new knowledge era. Improving dynamic learning capability is an exclusive strategy for corporate success in construction industry. Thus engineering design firms should implement OL to accomplish a state of readiness for change and develop a competence to respond and identify future business potentials. This study aims to analyze the relationship between organizational learning (OL) and performance improvement (PI) in civil engineering design firms of Turkish construction industry. OL structure in engineering design firms incorporates five constructs: organizational environment, strategy development and implementation, supportive leadership, leveraging knowledge, and learning capability. The empirical data was collected through a questionnaire survey conducted to engineering design firms registered to the Turkish Chamber of Civil Engineers. The hypothesized model relationships were tested using Structural Equation Modeling (SEM). The results show that each of the variables has a different role and significant positive impact on the OL process and organizational PI. The variables "Supportive leadership" and "Learning capability" proved to be strongly significant and positively related to organizational performance in engineering design firms. In engineering design firms, supportive leadership is needed in order to establish a participative cultural environment that helps design a new form of organization which emphasizes learning, flexibility, and rapid response. Learning capability is the potential to explore and exploit knowledge through learning flows that make possible the development, evolution and use of knowledge stocks enacting engineering design firms and their members to add value to the design business.
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Papers by Ibrahim Yitmen