Use of Artificial Neural Network for Cost Estimation of Building Projects
Prof.A.S.Jadhav1
Department of Civil Engineering,
JSPM’s Rajarshi Shahu School of Engineering and Research,Pune,Maharashtra,India
Shravan Dongare2,Devendra Patil 3,Akanksha Mugle 4,Rutuja Patil5,Shubham Thorat6
B.E Students,Department of Civil Engineering, JSPM’s Rajarshi Shahu School of Engineering and Research,Pune,Maharashtra,India
Abstract— the principal causes of delays in this research study were analyzed after data collection using a questionnaire survey with a wide range of construction professionals based in High-rise Projects. The findings of this study could help the construction industry better analyze not just the principal reasons of delays on construction projects, but also how to minimize them through appropriate planning. Despite its importance in ensuring the safe application of working processes, safety leadership is occasionally overlooked in recommendations.
Aside from addressing increased demand, good decision-making during the construction phase can mitigate Delay concerns, however additional research is required. This could involve research on decision-making processes, the content of construction site management training programs, the value of training programs in building a more skilled workforce, and the use of pre-cast materials. An investigation into construction project delays in India during the outbreak.
Because high-rise projects are vital to the city, they must be completed quickly. Almost all Indian projects are late. Delay is the most common, complex, and dangerous problem in construction. Most construction projects in poor countries run late. Regardless of size or complexity, deadlines and unpredictability abound. Every construction project has delays, and the severity of these delays varies widely. This study reviews prior research on time and cost overrun drivers.
Keywords—Low Rise & High Rise Buildings, Cost-benefit analysis,
