Solving The Problem of Multi-Stakeholder Construction Site Layout Using Metaheuristic Algorithms
محورهای موضوعی : Operation Research
سیده سیما شاه ابراهیمی
1
,
علیرضا لرک
2
,
داود صداقت شایگان
3
,
علی اصغر امیر کاردوست
4
1 - دانشجو
2 - استادیار دانشگاه آزاد اسلامی
معاون دانشگاه کیش
3 - ایران-تهران-دانشگاه ازاد اسلامی رودهن- گروه عمران
4 - استادیار دانشگاه آزاد اسلامی رودهن
کلید واژه: construction site layout planning, interaction multi-stakeholder, optimization, genetic algorithm, agent-based modeling (ABM),
چکیده مقاله :
Construction site layout planning (CSLP) is crucial to projects’ success and implementation. The CSLP has an impact on time, cost, and quality from a project management standpoint. Other than that, CSLP is overshadowed by issues like project management, economic efficiency, and the mitigation of environmental damage, while it can be used to put the aforementioned conditions more effectively. The viewpoint of the stakeholders and their integration with one another, in addition to the elements and characteristics analyzed in putting the site's layout, can directly affect how well CSLP is optimized. In this study, a genetic algorithm was used to analyze the CSLP of a construction project with many stakeholder interactions, and the outcomes were compared with the PSO algorithm. In this instance, combining multiple stakeholders produced better results than combining double and single stakeholders.
Construction site layout planning (CSLP) is crucial to projects’ success and implementation. The CSLP has an impact on time, cost, and quality from a project management standpoint. Other than that, CSLP is overshadowed by issues like project management, economic efficiency, and the mitigation of environmental damage, while it can be used to put the aforementioned conditions more effectively. The viewpoint of the stakeholders and their integration with one another, in addition to the elements and characteristics analyzed in putting the site's layout, can directly affect how well CSLP is optimized. In this study, a genetic algorithm was used to analyze the CSLP of a construction project with many stakeholder interactions, and the outcomes were compared with the PSO algorithm. In this instance, combining multiple stakeholders produced better results than combining double and single stakeholders.
