Person: KAZAZOĞLU, Senem Seyis
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Senem Seyis
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KAZAZOĞLU
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ArticlePublication Metadata only Multi-criteria decision-making model for risk management in modular construction projects(Taylor & Francis, 2024) Khodabocus, Sabah Fatima; Seyis, Senem; Civil Engineering; KAZAZOĞLU, Senem Seyis; Khodabocus, Sabah FatimaThe modular sector needs a precise guide to determine the most efficient risk management approaches. The main research objective of this study is to develop a multi-criteria decision-making model to find the most efficient risk management approach according to the relevant risk criteria. The risk criteria and risk management approaches for modular construction projects were also identified and classified within this scope. A systematic literature review, semi-structured interviews, and open-ended questionnaires were performed for identification and classification purposes. For ranking and quantifying the identified risks and risk approaches, as well as developing the decision-making model, the Delphi method and the Analytical Hierarchy Process (AHP) were conducted. A two-round Delphi method, with eleven experts, was conducted to achieve efficient performance scores of the identified risk management approaches. The percentage standard deviation decreased, Relative Importance Index (RII), Cronbach’s alpha, and Kendall’s coefficient of concordance (Kendall’s W) were calculated to ensure the outputs’ reliability, validity, and agreement level. The AHP method opted to quantify the Delphi method outputs, solve the multi-criteria decision-making process, and develop the multi-criteria decision-making model for risk management of modular construction projects. Triangulation results show that the critical risk categories are supply chain, health and safety, stakeholders, and governmental support. Lean principles such as the Last Planner System, Value Stream Mapping, Just in Time, and Kaizen are top-rated risk management approaches. This research’s novelty is identifying and analyzing crucial risk categories, providing the relevant risk management approaches ranked according to efficiency performance, and presenting a decision-making model as a guideline for risk management of modular construction projects.ArticlePublication Open Access Case study for comparative analysis of BIM-based LEED building and nonLEED building(Pamukkale Üniversitesi, 2022) Seyis, Senem; Civil Engineering; KAZAZOĞLU, Senem SeyisThe objective of this study is to design a sustainable high-rise residential building using Leadership in Energy and Environmental Design (LEED) and Building Information Modeling (BIM), and perform comparative analysis for the LEED building and non-LEED building. Within this scope, break-even points of these buildings’ water and energy consumptions as well as additional costs related to sustainability were analyzed. The research methodology relies on the literature review and case study. In the case study, the 3D model of a 15-storey residential building was designed via Autodesk Revit 2019 based on the LEED v4.1 Building Design and Construction (BD+C) rating system. The case study building can achieve 31 credits and 9 prerequisites which allow to obtain 61 points and LEED Gold certificate. By applying LEED v4.1 BD+C procedures, water consumption of the building was reduced by 65.96%, and energy consumption of the building was decreased by 59%. The initial cost of this LEED building is 1.074.833,04 TL which is 852.230.64 TL higher than the initial cost of non-LEED building. According to the break-even point calculations, the initial cost of LEED building can be charged after 13 years 8 months and 12 days. Results make a significant contribution to the literature and industry by showing the requirements and design process of a high-rise residential building using LEED and BIM. This study adds original value to the literature and industry by ensuring practitioners and researchers with constructive information about the energy, water, and cost performance of the LEED buildings. Further, results provide an insight to professionals in the architecture, engineering, and construction industry about the value of green buildings.Conference ObjectPublication Open Access Identification of common data environment functions during construction phase of BIM-based projects(Luxembourg Institute of Science and Technology, 2021-10) Özkan, Selen; Seyis, Senem; Civil Engineering; ÖZKAN, Selen; KAZAZOĞLU, Senem SeyisThe utilization of building information modeling (BIM) has been rapidly increasing in the last decade as it stimulates project constructability, quality, efficiency, and success. A well-structured and organized information system is the major requirement to ensure adequate collection, management and dissemination of documentation and the central BIM-model for the whole project team. This consistent source of information, called as the common data environment (CDE), carries an important role to achieve a centralized information system in the BIM-based construction projects. Despite the general perception, common data environments (CDEs) should not be considered only as a digital storage and sharing space. A CDE system, set up at the beginning of the project according to the international standards, can support the successful project management by providing instant insights related to the project performance and eliminating non-value adding activities (e.g., rework, defect). Although the CDE is an ultimate necessity for a data-driven construction project management, the literature remains quite incapable of revealing the functions of the CDE system. The aim of this study is to identify and categorize the CDE functions used in the construction phase of BIM-based projects. In the first step, possible CDE functions were derived from a literature review and online sources. In the second step, semi-structured focused interviews were conducted with five subject matter experts who use the CDE system efficiently in the international BIM-based construction projects. This methodology allows to link aspects of different perspectives and achieve meaningful and reliable outputs. The results will provide valuable information about the CDE functions in the BIM-based construction projects to practitioners and researchers. Further, this research can create awareness about the CDEs and encourage the use of CDEs in the BIM projects.ArticlePublication Metadata only Mapping the scientific research of the life cycle assessment in the construction industry: A scientometric analysis(Elsevier, 2021-10-15) Yılmaz, Y.; Seyis, Senem; Civil Engineering; KAZAZOĞLU, Senem SeyisThe interest toward the life cycle assessment studies in the construction industry has been increasing in the last decades. However, there is no existing study that focuses on mapping the scientific research of the LCAs in the construction industry with a comprehensive understanding. Hence, an expansive and macro level study of the LCAs within the subject domain is necessary to fulfill this gap in the literature. The research objective of this study is to reveal the status quo, hot topics and keywords, and emerging areas of the LCA research in the construction industry. For this purpose, systematic bibliometric and scientometric analyses were conducted by referring 2885 bibliometric records published between 1997 and 2021 (end of February). The analyses indicated China, USA, and Spain as the most productive countries in the field. Additionally, hot keywords in the domain revealed as ‘energy’, ‘environmental impact’, ‘sustainability’, ‘performance’, ‘emission’, ‘building’, ‘system’, ‘design’, and ‘concrete’. ‘Circular economy’, ‘mechanical property’, and ‘footprint’ are found as the emerging areas of this field. Document co-citation clusters showed the hot research themes of the domain as building information modeling (BIM), energy performance, construction and demolition waste, carbonation, water supply, bridge design, optimization, pavement management, ventilation, and design assessment. The results of this research make a significant contribution to the scientific community and industry practitioners by providing an inclusive understanding of the recent status, hot keywords and topics, and emerging areas of the life cycle assessment in the construction industry. Further, this study would be a useful and valuable reference and guideline for the researchers interested in this field.ArticlePublication Metadata only Analysis of the benefits, challenges and risks for the integrated use of BIM, RFID and WSN: A mixed method research(Emerald Publishing Limited, 2023-07-11) Seyis, Senem; Sönmez, A. M.; Civil Engineering; KAZAZOĞLU, Senem SeyisPurpose: The purpose of this study is to identify, classify and prioritize the benefits, challenges and risks for the integrated use of building information modeling (BIM), radio frequency identification (RFID) and wireless sensor network (WSN) in the architecture, engineering, construction and operation (AECO) industry. Design/methodology/approach: This study relies on the mixed method approach which consists of systematic literature review, semistructured interviews and Delphi technique. A systematic literature review was performed and face-to-face semistructured interviews with seven subject matter experts (SMEs) were conducted for identification and classification purposes. Delphi method was applied in two structured rounds with eleven SMEs for prioritization purpose. These three research techniques were chosen to reach the most accurate data by combining different perspectives on the subject matter. Data gathered by these three methods was triangulated to increase the validity and reliability of this research. Findings: Thirteen benefits, ten challenges and four risks for the integrated use of BIM, RFID and WSN were identified. The results could aid the practitioners and researchers comprehend the pros and cons of this integration by representing SMEs’ valuable insights and perspectives about the current and future status, trends, limitations and requirements of the AECO industry. The identified risks and challenges show the requirements for future studies while the benefits demonstrate the capabilities and the potential contributions of this hybrid integration to the AECO industry. Originality/value: The integration of BIM, RFID and WSN is still not commonly implemented in the AECO industry. Some studies focused on this topic; however, none of them reveals the benefits, risks and challenges for integrating BIM, RFID and WSN in a holistic manner. This research makes a significant contribution to the AECO literature and industry by uncovering the benefits, challenges and risks for the integrated use of BIM, RFID and WSN that could increase industry applications.ArticlePublication Metadata only Mixed method review for integrating building information modeling and life-cycle assessments(Elsevier, 2020-04-15) Seyis, Senem; Civil Engineering; KAZAZOĞLU, Senem SeyisPrevious studies have suggested that building information modeling (BIM) and life-cycle assessments (LCAs) could be integrated to quantify and alleviate the environmental effects of buildings while simplifying and optimizing data acquisition. However, there has been no expert-based research into the true potential of BIM-based LCAs in a wider context with consideration of the advantages and disadvantages. This study aims to identify, classify, and prioritize these advantages and disadvantages using mixed methodological research and subject matter experts (SMEs). This includes a comprehensive literary review, semi-structured interviews with SMEs, and use of the Delphi method. A total of 21 advantages and 7 disadvantages associated with BIM-based LCAs were identified and classified. The advantages were grouped into four categories: decision making, material selection, sustainability performance, and waste reduction. The disadvantages were grouped into two categories: standardization and data processing. The Delphi method was applied via two rounds of questionnaires with ten SMEs to prioritize the advantages and disadvantages. The results of this study will provide practitioners and researchers with constructive information for the integrated use of BIM and LCAs and will create awareness in the architecture, engineering, and construction industry. The identified disadvantages show the requirements for future work and the priority rankings for both the advantages and disadvantages could be used by researchers and key stakeholders.Conference ObjectPublication Open Access BIM execution plan based on BS EN ISO 19650‐1 and BS EN ISO 19650‐2 standards(Istanbul Technical University, 2020) Çekin, Erhan; Seyis, Senem; Civil Engineering; KAZAZOĞLU, Senem Seyis; Çekin, ErhanThe major requirement of architecture, engineering, and construction (AEC) industry is to effectively manage information gathered from different project stakeholders. A structured guideline requires for managing the process and information productively. The first global Building Information Modeling (BIM) standards, BS ISO 19650-1 and BS ISO 19650-2, are recently published for managing information over the whole life cycle of a built asset using BIM. The research objective of this study is to develop and implement a BIM execution plan (BEP) based on BS EN ISO 19650‐1 and BS EN ISO 19650‐2, and identify the benefits of using BS EN ISO 19650 standards in the BIM-based construction projects. The results of this study indicate that using ISO 19650 standards in the BIM projects allows stakeholders to (1) demonstrate a significant value proposition for purpose-driven, structured, verified and validated information models, (2) support data exchange in a collaborative information management system efficiently, and (3) minimize data over processing. This study makes a significant contribution to the AEC literature and industry by presenting the development and implementation process of a BIM Execution Plan based on BS EN ISO 19650‐1 and BS EN ISO 19650‐2 standards, and benefits of BS ISO 19650-based BIM projects. This study will promote the use of ISO 19650 standards in the BIM-based construction projects.Conference ObjectPublication Metadata only A simplified guide on BIM integration to mitigate facilities management risks of modular construction projects(Springer, 2022) Khodabocus, Sabah Fatima; Seyis, Senem; Civil Engineering; KAZAZOĞLU, Senem Seyis; Khodabocus, Sabah FatimaBuilding Information Modelling (BIM) has been upscaling throughout the years being highly interoperable. In modular construction, projects have limited scope for alterations at later stages because of exorbitant costs. It is preferable to start with an accurate and well-established platform that will automatically clear obstacles at later stages. As with any project, risks are to be encountered. In this study, Facilities Management (FM) risks are analyzed and BIM-linked approaches are brought together as a guide. The input was derived from a literature review and given the limited studies performed in this scope, interviews with six experts who also validated the outputs have boosted overall quality. Since the modular sector has not yet witnessed early FM integrations with BIM platforms, this investigation had as aim to pave the path for this subject. For modular construction projects to perform to their full efficacy, early involvements are the key. In the study, sub-categories that involve maintenance of module and space management, energy analysis, quality and safety were deemed as major contributors to FM risks if not handled correctly. Being interconnected, cost, scheduling, and quality equally impact the project. For instance, without prior planning for accessing faulty facilities, the facility manager in charge would dedicate more time to figure out another path that could hinder designated quality standards. BIM integration acts as visual aid and database containing project attributes. This study forms simplified guides with suggestions on BIM platforms that modular construction projects can adopt for tackling FM risks while early integrating designers with facilities managers.Conference ObjectPublication Metadata only Review of uncertainties in building characterization for urban-scale energy modeling(Springer, 2022) Bolluk, Muhammed Said; Seyis, Senem; Civil Engineering; KAZAZOĞLU, Senem Seyis; Bolluk, Muhammed SaidBottom-up modeling appears to be a suitable approach for the urban-scale building energy performance assessment with providing valuable inferences on the complicated building energy patterns and helping authorities monitor/predict the energy demand for urban planning and retrofitting. Archetype characterization is the utmost challenging process when developing bottom-up models since there is a large diversity in characteristic features of building stocks. This gap induces practitioners to seek stochastic methods even though the deterministic approaches are solid guides in archetype characterization. Hence, the research objective of this study is to provide insights into the motivation, challenges, and methods of the studies conducted to assess the buildings' energy demand at the urban scale. The original value of this research is to analyze/question different archetype characterization methods and their practicability over wide-ranging studies, identify the most crucial characterization parameters and assess the validation techniques to enhance the demand estimations of urban building energy models (UBEMs). To that end, this study performs a literature review and mainly provides the following findings: (1) The required characterization method is highly dependent on the purpose and scope of the study. (2) The Bayesian calibration makes ground in UBEM practices as it consolidates the models' estimation power through the probabilistic archetype characterization. (3) Considering the notable fluctuations in buildings' energy demand induced by occupancy patterns, detailed occupancy profiles could improve the archetype characterization. Finally, the major setback is the lack of available data to characterize energy models with building-specific information. (4) Building information models (BIMs) could soon play a pivotal role in supplying such data for UBEM practices. This study contributes to the literature by fulfilling the lack of perspective that concentrates on the archetype characterization methods in UBEM. The findings could help practitioners (e.g., policymakers and city planners) and academics to comprehend the potential of the UBEM that improves energy management strategies at the urban scale.Conference ObjectPublication Metadata only Feature extraction for enhancing data-driven urban building energy models(European Council on Computing in Construction (EC3), 2023) Bolluk, Muhammed Said; Seyis, Senem; Aydoğan, Reyhan; Computer Science; Civil Engineering; KAZAZOĞLU, Senem Seyis; AYDOĞAN, Reyhan; Bolluk, Muhammed SaidBuilding energy demand assessment plays a crucial role in designing energy-efficient building stocks. However, most studies adopting a data-driven approach feel the deficiency of datasets with building-specific information in building energy consumption estimation. Hence, the research objective of this study is to extract new features within the climate, demographic, and building use type categories and increase the accuracy of a non-parametric regression model that estimates the energy consumption of a building stock in Seattle. The results show that adding new features to the original dataset from the building use type category increased the regression results with a 6.8% less error and a 30.8% higher R2 Score. Therefore, this study shows that building energy consumption estimation can be enhanced via new feature extraction equipped with domain knowledge.