MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

A new wave of digitization is reshaping the construction industry, but it also brings a wealth of new prospects. Building materials manufacturing, planning, design, and construction are all in a supply chain projected to be boosted by artificial intelligence. Along with this, facility management is also expected to benefit from this technology. Choosing the optimal project management solution, particularly for major building projects, is sometimes complicated and fraught with uncertainty. As per the original references, the success and efficiency of project management rely on using three pillars called “Management involvement, ”create and streaming systems,” and “using the tools. Tools and procedures are directly in the knowledge areas of executives and engineers. On the other hand, the other two pillars rely on the outputs of the tools and procedures indirectly. As a result, tools and methods play a critical part in project management’s effective implementation. However, artificial intelligence includes collecting data, induction, and experiment analysis to comprehend human intelligence modeling and non-numerical methods to solve complicated issues. Hence it can be used as a tool in four major fields: Integration Management, Project Procurement Management, Project Risk Management, and Project Communications Management; they can be used in numerous applications.

School of Civil Engineering

Engineering and Technology

Turkish Journal of Computer and Mathematics Education

Enhancing the Supply Chain Management in Construction using Artificial Intelligence

Daylight is an invaluable aspect of nature, essential for survival of all living organisms. At many locations of India, daylight illuminance data is not available. In this invention, an attempt has been made to measure and generate the annual data of daylight illuminance levels. This invention discusses the daylight illuminance measurement and its assessment for moderate climate zone of India. The work also investigates the correlations between daylight illuminance and weather parameters, discusses the development of multivariable regression equations to estimate daylight illuminance intensities. These equations are based on the actual observed daylight illuminance intensities measured at specific time intervals during February 2015 to January 2016. The analysis finds a better association (0.769, 0.862 and 0.747) between daylight illuminance and specific climate variables during cloudy days (July) as compared to other climatic seasons. The average percentage errors of the regression equations vary from 3.65% to 11.94 %, indicating better level of accuracy.

Official Journal of the Patent office, Govt. of India

Assessment of daylight illuminance intensities and its estimation for moderate climate zone of India.

World University root node

AP Patent 2,020,102,377

Water collection \&amp; notification intelligent management technology

Construction projects comes across various milestones, resulting into delay in execution of project, hence there is need to improve techniques in planning so that project is carried out within stipulated time. TheLOBST (Line Of Balance Scheduling Technique) is a scheduling method which makes the operations to be carried out effectively and allows activity can be performed continuously and efficiently ineach consecutive unit. Line Of Balance Scheduling Technique is a significant technique that plays important role in repetitive construction project.Lack of awareness of proper method and techniques increases cost and project completion time. It becomes very important to adopt proper methodology while doing the housing project for low income group. This paper aims to evaluate the real application of line of balance in low income housing scheme. Case study of low-income housing project by MHADA at Talegaon-Dabhade,Pune. Also supports the method developed in the paper. The findings point out significant controlling benefits of LOB is comparing with GANNTCHART Method in the project and addresses limitations showing the efficient use of LOB. VICO CONTROL software is used to schedule the project by line of balance technique. It is observed that this method increases line efficiency and minimizes smoothnessindex.

International Journal of Innovative Science and Research Technology

Planning and Scheduling of Low Income Housing Scheme Project by Line of Balancing Method

Prediction of daylight illuminance has become the prime concern for building designers. This paper presents the daylight illuminance frequency distribution, correlation coefficients amongst climate variables and linear regression models developed for moderate climate zone. The emphasis of the present study is to predict daylight illuminance intensities and to investigate its relationship amongst the important climatic variables such as temperature, percentage sky clearance and percentage relative humidity at specific timings of the day, observed during different climatic conditions and seasons. The daylight illuminance data is collected with the help of digital ‘Lux’ meter across the Pune city (India). The daylight illuminance frequency distribution, correlation coefficients and the linear regression models derived for four climate specific months are presented and explained. The minimum illuminance level of 6260 Lux is observed at 8.00 am whereas the maximum is 147300 Lux at 12.00 noon in the month of July and the highest frequency of illuminance intensities falls in the range 140000-145000 Lux. A better association (positive) of illuminance intensities has been observed with percentage sky clearance variable; the correlation coefficients in the month of July are 0.678, 0.656 and 0.453. The percentage error between predicted and measured values of daylight illuminance levels derived from the developed regression models varies from 4.47% to 12.33%.

Journal of Engineering Science and Technology

Predicting daylight illuminance in urban city using multiple regression techniques

The openings in the building envelope have a great influence on daylighting in the internal area of the building spaces. The amount of opening area, its orientation, outside obstruction &amp; positioning of building affects the inside illumination. Most of the energy consumption occurs during the building's operational phase for heating, cooling &amp; lighting purposes. This paper aims to provide a simplified analytical and GIS based approach to evaluate the potential of daylight inside the room under clear sky conditions. The work evaluates the intensity of internal illumination in residential apartment building from available outside external illumination.