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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

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. Source

Roh H.-J.,City of Regina | Sahu P.K.,National Institute of Construction Management and Research | Khan A.M.,Carleton University | Sharma S.,University of Regina
Journal of Modern Transportation

Discrete choice models are widely used in multiple sectors such as transportation, health, energy, and marketing, etc., where the model estimation is usually carried out by using commercial software. Nonetheless, tailored computer codes offer modellers greater flexibility and control of unique modelling situation. Aligned with empirically tailored computing environment, this research discusses the relative performance of six different algorithms of a discrete choice model using three key performance measures: convergence time, number of iterations, and iteration time. The computer codes are developed by using Visual Basic Application (VBA). Maximum likelihood function (MLF) is formulated and the mathematical relationships of gradient and Hessian matrix are analytically derived to carry out the estimation process. The estimated parameter values clearly suggest that convergence criterion and initial guessing of parameters are the two critical factors in determining the overall estimation performance of a custom-built discrete choice model. © 2014, The Author(s). Source

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

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. Source

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

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. Source

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

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. Source

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