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Ahmadābād, India

Shenoy A.U.,Indian Institute of Management | Shenoy U.V.,Synew Technologies
Energy | Year: 2013

CWNs (cooling water networks) are targeted and designed in this work by an analytical approach requiring no graphical procedures. The key basis for the approach is the conversion of the cooling duties to equivalent inlet-outlet (demand-source) pairs. The UTA (Unified Targeting Algorithm) is first used to establish the minimum CW (cooling water) flowrate and identify the pinch temperature. The Enhanced NNA (Nearest-Neighbors Algorithm) is then utilized to systematically synthesize CWNs by giving priority to LR (local-recycle) matches. The flowrate of the LR match is maximized wherever possible by choosing the neighbor source as the cleanest available source rather than the nearest neighbor. This is advantageous because LR matches can be eliminated for fixed load operations to yield relatively simple network designs that not only meet the minimum CW flow target but also minimize the flowrate through the coolers resulting in reduced network cost. Two case studies are presented to illustrate the versatility of the approach in generating multiple optimum network designs for maximum reuse, temperature constraints and debottlenecking. Importantly, it is demonstrated that superior practical networks can be designed for temperature constrained CWNs with pinch migration as well as without pinch recognition. © 2013 Elsevier Ltd. Source

Agarwal Y.,Indian Institute of Management
Operations Research | Year: 2013

This paper considers the problem of designing a multicommodity network with single facility type subject to the requirement that under failure of any single edge, the network should permit a feasible flow of all traffic. We study the polyhedral structure of the problem by considering the multigraph obtained by shrinking the nodes, but not the edges, in a κ-partition of the original graph. A key theorem is proved according to which a facet of the κ-node problem defined on the multigraph resulting from a κ-partition is also facet defining for the larger problem under a mild condition. After reviewing the prior work on two-partition inequalities, we develop two classes of three-partition inequalities and a large number of inequality classes based on four-partitions. Proofs of facet-defining status for some of these are provided, while the rest are stated without proof. Computational results show that the addition of three- and four-partition inequalities results in substantial increase in the bound values compared to those possible with two-partition inequalities alone. Problems of 35 nodes and 80 edges with fully dense traffic matrices have been solved optimally within a few minutes of computer time. © 2013 INFORMS. Source

Ramachandran J.,Indian Institute of Management
Journal of Product Innovation Management | Year: 2012

Recent research on the base of the pyramid (BoP) has called on firms to initiate market-driven interventions directed at the BoP population with the objective of identifying and pursuing mutually profitable means of attaining meaningful poverty alleviation outcomes. In response, firms as well as scholars have engaged at length with the creation of new products and services for the BoP consumer but paid far less attention to the BoP producer-a member of the BoP population who creates value by producing goods and services for sale in nonlocal markets. Additionally, extant studies have largely focused on snapshot views of BoP interventions by firms, thereby limiting our understanding of the emergence of meaningful poverty-alleviating outcomes over time from these interventions. This paper seeks to redirect attention toward the dynamic of the long-term engagement between the firm and the BoP producer. Using rich qualitative data from Fabindia-an Indian handloom retailer-this paper examines how the engagement between Fabindia and communities of handloom artisans in India has persisted over a period of five decades. We found that, even as it encountered changes in the external environment and pursued newer organizational goals, Fabindia repeatedly renewed its engagement with handloom artisans and facilitated progression in poverty-alleviation outcomes. Building on the insights from the case study, this paper presents a process model that highlights the role of innovative management practices in sustaining engagements between firms and BoP producers over time. Additionally, this paper proposes the concept of the "bridging enterprise"-a business enterprise that originates at the intersection of specific BoP communities and the corresponding nonlocal markets-as an interpreter and innovator reconciling the interests of stakeholders across the pyramid. © 2011 Product Development & Management Association. Source

Krishnamoorthy S.,Indian Institute of Management
Expert Systems with Applications | Year: 2015

Online reviews play a critical role in customer's purchase decision making process on the web. The reviews are often ranked based on user helpfulness votes to minimize the review information overload problem. This paper examines the factors that contribute towards helpfulness of online reviews and builds a predictive model. The proposed predictive model extracts novel linguistic category features by analysing the textual content of reviews. In addition, the model makes use of review metadata, subjectivity and readability related features for helpfulness prediction. Our experimental analysis on two real-life review datasets reveals that a hybrid set of features deliver the best predictive accuracy. We also show that the proposed linguistic category features are better predictors of review helpfulness for experience goods such as books, music, and video games. The findings of this study can provide new insights to e-commerce retailers for better organization and ranking of online reviews and help customers in making better product choices. © 2015 Elsevier Ltd. All rights reserved. Source

Aggarwal M.,Indian Institute of Management
Applied Soft Computing Journal | Year: 2015

A class of compensative weighted averaging (CWA) aggregation operators, having a dedicated parameter to model compensation, is presented. The variants of CWA operator with ordered weighted averaging (OWA) operator are developed. The proposed operators are compared, both theoretically and empirically, with other operators in terms of their compensation abilities. Two approaches are proposed to learn the compensation parameter and the weight vector from the given data. The proposed learning approaches are applied in four case-studies, involving real experimental data. The usefulness of CWA operators in strategic multi-criteria decision making and supplier selection is also highlighted. © 2014 Elsevier B.V. All rights reserved. Source

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