National Institute of Construction Management and Research

Goa, India

National Institute of Construction Management and Research

Goa, India

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Singh R.,National Institute of Construction Management and Research | Singh R.,Indian Institute of Technology Bombay | Banerjee R.,Indian Institute of Technology Bombay
Solar Energy | Year: 2015

A methodology for estimating the rooftop solar photovoltaic potential for a region has been described. The methodology has been applied and illustrated for the Indian city of Mumbai (18.98°N, 72.83°E). It uses high-granularity land use data available in the public domain and GIS-based image analysis of sample satellite images to estimate values of the Building Footprint Area (BFA) Ratio. Photovoltaic-Available Roof Area (PVA) Ratio has been estimated by simulations in PVSyst and has been compared with relevant values from the literature. Solar irradiance (DNI and DHI) and ambient temperature data have been taken from Climate Design Data 2009 ASHRAE Handbook. Liu Jordan transposition model has been used for estimating the plane-of-array insolation. Effect of tilt angle on the plane-of-array insolation received has been studied to make an optimum choice for the tilt angle. Micro-level simulations in PVSyst have been used to estimate effective sunshine hours for the region of interest. The installed capacity, annual and daily generation profiles and capacity factor have been estimated for PV panels with different rated solar cell efficiency and power-temperature coefficient values.The results show a potential of 2190. MW for Mumbai city with median efficiency panels, at an annual average capacity factor of 14.8%. Daily and monthly variation of the generation from the Rooftop PV Systems has been studied. Comparison with sample daily load profiles shows that large scale deployment of Rooftop Solar Photovoltaic Systems can provide 12.8-20% of the average daily demand and 31-60% of the morning peak demand for different months, even with median conversion efficiency panels. This method can be used to obtain the PV potential for any region. © 2015 Elsevier Ltd.

Madurwar M.,National Institute of Construction Management and Research | Sakhare V.,Visvesvaraya National Institute of Technology | Ralegaonkar R.,Visvesvaraya National Institute of Technology
Procedia Engineering | Year: 2015

The rapid industrialization and urbanization resulted in large quantity of waste generation and in turn, environmental degradation. Recycling of solid waste into a sustainable construction material with optimum mix proportion is the global need to reduce its adverse environmental impacts. The present paper aimed at optimization of the mix proportion for designing the sustainable material. Sugarcane bagasse ash (SBA) was identified as the principal raw material over the study area. It was used further in combination with quarry dust (QD), and lime (L) for various proportions to develop the sustainable bricks. In all 35 compositions for SBA-QD-L bricks were developed and Physico-mechanical properties were evaluated using standard laboratory tests as per Indian standards. A statistical cubical regression model was formulated for compressive strength of brick as a function of mix proportion using XLSTAT software. To achieve the criteria of sustainability, constraints were developed in terms of achieving maximum compressive strength and minimum embodied energy. A multi objective non-linear optimization model was formulated and optimum mix proportion was obtained using software LINGO. The optimum value of compressive strength and embodied energy predicted by this model was 5.44 MPa and 2.32 MJ. The embodied energy was estimated to be 47% and 5% lower than the conventional burnt clay and fly ash bricks. A cost analysis was also carried out between optimum composition of SBA-QD-L bricks and commercially available fly ash bricks. The percentage reduction in the cost was found to be 49% and 58% as compared to the fly ash and burnt clay bricks. © 2015 The Authors. Published by Elsevier Ltd.

Shen L.-Y.,Hong Kong Polytechnic University | Jorge Ochoa J.,Hong Kong Polytechnic University | Shah M.N.,National Institute of Construction Management and Research | Zhang X.,Hong Kong Polytechnic University
Habitat International | Year: 2011

Urban population has been increasing and it is estimated to reach 70% of the total population in the world by 2050. Governments are facing greater challenges every time in providing inhabitants with a good quality of life in their cities. Many cities around the world have developed sustainable urban development plans for leading their urbanization process towards a desired status of urban sustainability. Urban sustainability indicators have been selected as main elements for communicating the status of the practice, which help to determine how successful strategies and policies enforced have been in the attainment of sustainability goals. Different practices use different indicators according to their particular needs, and these have been selected under different methods. However, whilst there are cases where urban sustainability indicators are effectively in use, the experiences gained from each practice have not been shared and used for the development of new urban development plans and for improving the decision-making process in the selection of indicators. This paper examines 9 different practices and proposes a comparative basis, namely, International Urban Sustainability Indicators List (IUSIL), for allowing the better understanding of drivers and goals of each practice and identifying under what circumstances various practices selected their indicators. Discussions made on the comparative analysis are categorized in four different dimensions: environmental, economic, social and governance. Research results show how comparative basis can lead to knowledge sharing between different practices, which can be used to guide the selection of indicators of sustainable urbanization plans and improve the effective communication of the status of practices. The study not only reveals how different indicators are selected but also suggests the need for consistent processes of choosing indicators based on the benchmarks obtained from best practices. © 2010 Elsevier Ltd.

Choudhari S.C.,National Institute of Construction Management and Research | Choudhari S.C.,Indian Institute of Technology Bombay | Adil G.K.,Indian Institute of Technology Bombay | Ananthakumar U.,Indian Institute of Technology Bombay
International Journal of Production Research | Year: 2010

A well designed production system secures environmental and internal fit. Environmental fit in a production system refers to alignment of manufacturing decisions to the external settings such as product and market. Internal fit implies that manufacturing decisions are mutually supportive. This paper develops a framework to analyse congruence of manufacturing decision areas in a production system. The framework considers six broad manufacturing decision areas. Based on the literature review, 54 decision types and alternative decision choices for each decision type are identified. The subjective and/or objective constructs to measure decision type are presented which should be useful in designing construct and in data gathering to conduct empirical research. Using the proposed framework, many research questions concerning the settings of several decision types for a specific type of production system can be generated and empirically tested. © 2010 Taylor & Francis.

Jagtap M.,National Institute of Construction Management and Research | Kamble S.,Indian National Institute of Engineering
International Journal of Construction Supply Chain Management | Year: 2015

Supply chains are omnipresent. However, the modus operandi of the construction supply chain is not clearly established in the literature. This might be attributable to the character of construction projects and the structure of the construction industry. Formal and informal control mechanisms are well established in retail and manufacturing supply chains which is evident in improved product performance. However, there is a paucity of research on the construction supply chain especially at identifying the interplay of control mechanisms and their relationship with project performance. In the case of large and complex construction projects, the client-contractor relationship requires input control, behaviour control and output control for successful project delivery. In the light of organisation control theory and the existing literature on construction supply chains, this study evaluates the modus operandi of the client-contractor relationship based on three control mechanisms: input control (project risk and reward power, and intra-project communication), behaviour control (opportunism) and output control (project performance) using a structural equation model. A survey data of 258 construction professionals working on construction projects in India was collected. The study findings reveal that input control, in terms of project risk and reward power, and intra-project communication, largely influence behaviour control in terms of opportunism. However, behaviour controls do not directly affect output control in terms of project performance; rather, a direct effect of the input control mechanism of output control is particularly evident. © 2015, School of Engineering, Auckland University of Technology. All Rights Reserved.

Chen C.,University of Sichuan | Martek I.,Deakin University | Shah M.,National Institute of Construction Management and Research
Construction Research Congress 2014: Construction in a Global Network - Proceedings of the 2014 Construction Research Congress | Year: 2014

With the spectacular rise of the Chinese and Indian economies the accompanying growth in these two countries' construction sectors justifies more understanding. There is, however, a lot of unknowns about the two countries' construction sectors from a comparative perspective. This study attempted to identify and compare the comparative/competitive advantages of the two fast-growing economies in construction in pursuit of policy and management implications, which can benefit not only the two countries but also other developing countries. In this regard, a comparative advantage framework and Porter's Diamond Framework were applied to analyze the relative advantages of the Chinese and Indian construction sectors. The comparative analyses showed that China appears better endowed in labor with high productivity. Government intervention was identified as benefiting Chinese firms with support for the development of human resources. China also benefits from superior access to a wide range of inputs, including equipment, construction materials, and technology. The existence of large corporate champions provides scale of economy and contributes to the advantage of the construction sector of China. In contrast, India benefits from the increased competitive rivalry thanks to its more hands-off government policies that focus primarily on providing a good business environment with a favorable tax system, market entry policies, laws and regulations, and code/standard systems. The differences identified provide policy implications to the decision makers of the two countries in further developing their construction sectors. © 2014 American Society of Civil Engineers.

Jain S.,National Institute of Construction Management And Research | Phadtare M.,National Institute of Construction Management And Research
ISARC 2013 - 30th International Symposium on Automation and Robotics in Construction and Mining, Held in Conjunction with the 23rd World Mining Congress | Year: 2013

Construction industry is considered as labour intensive, having shortage of skilled labour, unsafe with large number of industrial accidents. Construction industry requires high technology automation products (Robots) for improving productivity, safety, quality etc. Robots are developed by various countries in different areas like demolition, earthwork, bridge, tunnels, road work, underwater works, trenches and piping, maintenance etc. however they are still not used to their full potential by construction industry. Hence in this paper, the authors propose a "model for adoption" of robots in construction industry. This model considers how a construction firm will adopt full scale robots like manually controlled machine, tele-controlled machines, computer controlled machines and cognitive robots and assimilate them through various stages.

Rajaprasad S.V.S.,Koneru Lakshmaiah University | Rajaprasad S.V.S.,National Institute of Construction Management and Research | Chalapathi P.V.,Koneru Lakshmaiah University
Safety and Health at Work | Year: 2015

Background: Construction activity has made considerable breakthroughs in the past two decades on the back of increases in development activities, government policies, and public demand. At the same time, occupational health and safety issues have become a major concern to construction organizations. The unsatisfactory safety performance of the construction industry has always been highlighted since the safety management system is neglected area and not implemented systematically in Indian construction organizations. Due to a lack of enforcement of the applicable legislation, most of the construction organizations are forced to opt for the implementation of Occupational Health Safety Assessment Series (OHSAS) 18001 to improve safety performance. Methods: In order to better understand factors influencing the implementation of OHSAS 18001, an interpretive structural modeling approach has been applied and the factors have been classified using matrice d'impacts croises-multiplication appliqué a un classement (MICMAC) analysis. The study proposes the underlying theoretical framework to identify factors and to help management of Indian construction organizations to understand the interaction among factors influencing in implementation of OHSAS 18001. Results: Safety culture, continual improvement, morale of employees, and safety training have been identified as dependent variables. Safety performance, sustainable construction, and conducive working environment have been identified as linkage variables. Management commitment and safety policy have been identified as the driver variables. Conclusion: Management commitment has the maximum driving power and the most influential factor is safety policy, which states clearly the commitment of top management towards occupational safety and health. © 2015.

Choudhari S.C.,National Institute of Construction Management and Research | Choudhari S.C.,Indian Institute of Technology Bombay | Adil G.K.,Indian Institute of Technology Bombay | Ananthakumar U.,Indian Institute of Technology Bombay
International Journal of Production Research | Year: 2012

The configuration of a production system can be described by the choices a firm makes in its manufacturing decision areas. Manufacturing strategy literature lacks empirical research in manufacturing decision areas. The current paper is an exploratory study using six case companies on alternative configurations that can exist in a batch production system. Choices made in decisions such as layout, shop floor control, etc., were found to be similar for all six companies that use batch process. However, there were a number of decisions that were found to be non-process specific and are influenced by product complexity, important competitive priorities, strategic orientation of manufacturing, top management decisions and the size of the company. The paper concludes with managerial implications and future research directions. © 2012 Copyright Taylor and Francis Group, LLC.

PubMed | National Institute of Construction Management and Research and Thapar University
Type: Journal Article | Journal: Work (Reading, Mass.) | Year: 2016

This paper introduces the concept of Deep Breathing and its applications as one of the means towards stress management through regulation of blood pressure among Indian College Engineering students. The underlying concept of deep breathing is that the relation between emotions and breathing is two way, i.e. not only do emotions affect the breathing, but controlled deep breathing also has an effect on emotions.The objective of the paper is to find out whether deep breathing technique is able to control blood pressure, and in turn, the level of stress.Sample students had a selection through initial screening and the students who reported high mental stress during interview were selected for the main drills. All the readings are taken using a sphygmomanometer (digital blood pressure meter). Students t test are used for the purpose of hypothesis testing.The results indicated that the deep breathing technique provided significant results.It is recommended that this amazingly simple and yet highly effective ancient technique of deep breathing become part of students routine curriculum. The paper aims at spreading the awareness of this yogic technique as one of the modes of Stress Management amongst Indian college students.

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