National Institute of Construction Management and Research

Goa, India

National Institute of Construction Management and Research

Goa, India
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Choudhari S.,Indian Institute of Management Indore | Tindwani A.,Quantum Project Infra Private Ltd | Tindwani A.,National Institute of Construction Management and Research
Construction Innovation | Year: 2017

Purpose: This study aims to assist the project manager in minimising the material logistics cost of road project by planning the optimal movement of aggregate across three stages of supply chain: sourcing, processing and distribution. Design/methodology/approach: The paper conceptualises the raw material consumption in a road project as a logistics network distribution problem. A linear programming (LP) formulation is constructed with appropriate decision variables by integrating the three stages of material movement. The series of LP scenarios are solved using an LP solver to decide the optimal movement of the aggregate to be consumed in different layers of road segments. Findings: The results obtained from the model show that planning material logistics of an entire road project using optimisation provides substantial saving in logistics costs than using common sense. Further, the magnitude of cost saving improves as the complexity of the model increases in term of enormous feasible options. Practical implications: The model shown in this paper may serve asabasis for planning the logistics of raw materials consumed in the road projects. The small improvement in material flows by optimising supply chain shows sensible cost benefit to the project manager and hence control and monitor the overall cost and activities of the project. The output of the model is also expected to help the project team as an input in the decision-making processes such as appropriate material sourcing contract, capacity assessment of material processing facility and transportation planning. Originality/value: While the optimisation models are widely used and popular among the many industrial applications, this research shows distinct application of such a model in managing the logistics of the road construction project. © Emerald Publishing Limited.

Singh R.,National Institute of Construction Management and Research
Renewable and Sustainable Energy Reviews | Year: 2017

The Indian energy scenario has been suffering perennially from problems like energy deficit, energy inequity and threats to energy security. Conventional power-resources like coal, oil and gas, large hydro and nuclear have inherent shortcomings, especially in the Indian context, which make them fall short of fulfilling the energy sufficiency aspirations of India. The present paper assesses the validity of the promise offered by renewable energy technologies in this context. The existing trends of cumulative installed capacity growth of solar, wind, small hydro and biomass power in India have been fitted to simple logistic models to forecast the future growth trajectory. Similarly, long-term electricity demand projections have been made using logistic models. Two renewable growth scenarios and three demand growth scenarios have been combined to generate six combined electricity demand-renewable growth scenarios. The analysis done in the present paper shows that in the most desirable electricity demand-renewable growth scenario, the percentage share of renewable electricity in the overall electricity mix of India rises steadily from the current 6% to around 43-44% by 2031-32, and then decays gradually to saturate at around 26-27% by 2063-2065; whereas, in the most likely scenario it rises steadily to around 29% by 2030-31 and then decays gradually to settle at around 21% by 2064-65. This leaves policymakers with a lot of thinking to do regarding the viability of other alternatives in long-term power planning, and underscores the need for path-breaking R&D in the sector. © 2017 Elsevier Ltd.

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.

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.

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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