Modüler inşaat projelerinde risk yönetimi için çok kriterli karar verme yaklaşımı

While there exists an ever-rising interest in modular construction projects, the current performance does not depict its full capabilities. This is mainly due to practicing 'stick-built' methods under a roof, implying carrying out conventional construction style in an offsite factory. That malpractice causes costs overruns, disruptions in timeline, and poor-quality end-products. Hence, early planning, guides, and qualified individuals should be integrated to eliminate those hindrances. While being minimal but not inexistent, the risks in a modular project can negatively impact overall performance if not tackled early on. As such, this study aims to utilize a multi-criteria decision-making approach for identifying the most efficient risk management approaches to tackle risks in modular construction projects. Hence, a systematic literature review, meta-analysis, semi-structured interviews with 5 experts, open- ended questionnaires with 5 experts who opted for sharing their input in this manner instead of interviews, and the 2- round Delphi method with 11 experts, were conducted. The data achieved underwent reliability, validity, and agreement tests comprising of calculations such as percentage standard deviation decrease, Cronbach's alpha, and Kendall's coefficient of concordance (Kendall's W). This was followed by a meta-analysis with the content derived from the literature review. Hereafter, the Analytical Hierarchy Process (AHP) was opted to quantify the Delphi findings and solve the multi-criteria decision-making process. This has led to ranking the risk management approaches according to efficiency for each risk category considered in the scope of this study. These risk categories are Supply chain, Health & Safety of workers, Stakeholders, and Governmental support. The Delphi scores pertaining to efficiency performance of each risk management approach according to the relevant risk criteria was incorporated in the spreadsheet where AHP scores were calculated. The AHP rankings are relevant to the mean efficiency score from Delphi round 2 and a uniformized weight value for risk criteria as a general approach. Practitioners can implement the spreadsheet with modified weight of the risk criteria according to their projects to derive precisely ranked risk management approaches. Furthermore, an interactive web-based application was launched using data achieved throughout the study to provide target audience with a user-friendly platform supporting early decision making in risk management. Once users select the risk category and criteria to tackle based on their projects, the application leads to guides on implementation of the risk management approaches alongside a to-do list. The application was validated by 3 industry experts for feasibility in integration to projects. The findings of this study will support early planning in a modular project by indicating to project managers or risk managers the most appropriate risk management approach to be implemented according to risk criteria of the project. The highly reliable Delphi and AHP findings provide practical insight for target audience in the modular construction industry such that a clearer initiation phase can be achieved. This would hence enable achievement of timelines, budget conditions and quality standards. The flexibility of the developed decision-making platform ensures that different projects can benefit from the latter based on their properties. Moreover, the research promotes continuous improvement in the modular construction industry by contributing to the quest of enhancing productivity through efficient risk management approaches usage.