BITS Faculty Publications

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    Healthcare unchained: the blockchain battle at ArogyaManav
    (Sage, 2025-01) Verma, Abhishek
    Dr. Ananya Sharma, medical director of ArogyaManav Hospitals, faces challenges with patient data security and medication tracking within the existing evolving healthcare landscape. The fragmented nature of medical records, data privacy concerns, and ethical dilemmas highlight some of the problems Dr. Ananya Sharma and her chief technology officers face. The case invites students to put themselves in the situation of the medical director of ArogyaManav Hospital, who is facing a dilemma in choosing between the established trustworthiness of blockchain and the potential transformative advantages of the internet-of-things application (IOTA). The decision carries implications for patient data management and the hospital’s ability to provide quality treatment.
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    Development of a Simulation Program to Optimise Process Parameters of Steam Power Cycles
    (IASKS, 2014) Srinivasan, P.
    Conventional coal-based thermal power plants have an average overall efficiency in the range of 35-38 %. Any increase in the percent efficiency of these power plants, is subjected to constraints posed by maximum and minimum temperatures, which are restricted by the creep property of materials and ambient temperature, respectively. Hence, an increase of efficiency beyond certain limits is not possible without optimising the process parameters associated with reheat and regenerative cycles. In this work, an attempt is made to optimise reheat and regenerative cycle process parameters such as, reheat pressure, tapping pressure of bled steam, and mass fraction of bled steam, in order to achieve maximum cycle efficiency. The optimisation of the process parameters was achieved by developing a simulation program using Microsoft Visual Studio. This program takes into account isentropic efficiencies of turbines and pumps and pressure drop in the boiler, and it can be used to simulate the optimum operating conditions of multi-stage reheat & regenerative cycle based thermal power plants. A comparison between the efficiencies of eight kinds of steam power cycles, at optimised conditions, has been made for different boiler pressures and steam temperatures at the turbine inlet. This comparison can aid power plant designers in choosing appropriate steam power cycles for a given set of operating conditions. It is observed that the results obtained from the program, such as, the optimum reheat pressures for two stage reheat cycles and optimum bled steam tapping pressures for two stage regenerative cycles are in good agreement with the published literature
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    Measuring performance of government-supported drug warehouses using DEA to improve quality of drug distribution
    (Emerald, 2020-08) Routroy, Srikanta
    Drug warehouses (DWs) play a crucial role in drug distribution of government-supported healthcare supply chain as it controls both the cost and responsiveness of the logistics activities. The current study proposes a methodology using data envelopment analysis (DEA) to estimate the performance along different dimensions and was applied to 30 government-supported DWs.
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    Ranking of Efficient DMUs Using Super-Efficiency Inverse DEA Model
    (Springer, 2023-03) Mathur, Trilok; Agarwal, Shivi
    The overall potential for improving the relative efficiency of decision-making units (DMUs) is revealed by applying the data envelopment analysis (DEA) model. This study proposes a ranking system for ordering efficient DMUs with a super-efficiency inverse DEA (IDEA) model under a constant return to scale (CRS) assumption. IDEA is applied to evaluate the expected output or input variation level while keeping the efficiency value unchanged. For a numerical illustration of the proposed model in real-life problems, firstly, this study calculated the efficiency score of all 52 bus depots of Rajasthan State Road Transport Corporation (RSRTC) for the year 2018–19, applying the DEA model under the CRS assumption. The results revealed that 7 bus depots are efficient. Secondly, these 7 efficient depots have been ranked using the proposed super-efficiency IDEA model.
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    Fuzzy Slack Based Measure of Data Envelopment Analysis: A Possibility Approach
    (Springer, 2014-01) Agarwal, Shivi
    Slack based measure (SBM) model of Data Envelopment Analysis (DEA) is very effective to evaluate the relative efficiency of decision making units (DMUs). It deals with the directly input excess and output shortfall to assess the effect of slacks on efficiency with common crisp inputs and outputs. In some cases, input and output data of DMUs can’t be precisely measured, so, the uncertain theory has played an important role in DEA. In these cases, the data can be represented as linguistic variable characterized by fuzzy numbers. This paper attempts to extend the traditional DEA model to a fuzzy framework, thus proposing a fuzzy SBM DEA model based on possibility approach to deal with the efficiency measuring problem with the given fuzzy input and output data. Finally, numerical examples are presented to illustrate the proposed fuzzy SBM model. By extending to fuzzy environment, the DEA approach is made more powerful for application
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    Efficiency Measure by Fuzzy Data Envelopment Analysis Model
    (Taylor & Francis, 2018-11) Agarwal, Shivi
    Data envelopment analysis (DEA) is a non-parametric technique to measure the relative efficiencies of a set of decision making units (DMUs) with common crisp inputs and outputs. Input and output data of DMUs often fluctuate. These fluctuating data can be represented as linguistic variable characterized by fuzzy numbers. This paper attempts to extend the traditional DEA model to a fuzzy framework, thus proposing a fuzzy DEA model based on α-cut approach to deal with the efficiency measuring and ranking problem with the given fuzzy input and output data. Finally, a numerical example is presented to illustrate the fuzzy DEA model. Since the efficiency measures are expressed by membership functions rather than by crisp values, more information is provided for management. By extending to fuzzy environment, the DEA approach is made more powerful for application.
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    Assessing working capital management efficiency of Indian manufacturing exporters
    (Emerald, 2020-09) Chadha, Saurabh; Sharma, Satyendra Kumar
    The purpose of this paper is to empirically investigate the relationship between working capital management (WCM) efficiency and exogenous variables of the Indian manufacturing sector along with its sub-industries that are involved in export activities.
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    Exploring predictors of working capital management efficiency and their influence on firm performance: an integrated DEA-SEM approach
    (Emerald, 2021-04) Chadha, Saurabh; Sharma, Satyendra Kumar
    This study develops an integrated approach combining data envelopment analysis (DEA) and structural equation modeling (SEM) for estimating the working capital management (WCM) efficiency and evaluating the effects of diverse exogenous variables on the WCM efficiency and firms' performance.
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    Benchmarking the efficiency model for working capital management: data envelopment analysis approach
    (Emerald, 2021-10) Sharma, Satyendra Kumar; Chadha, Saurabh
    This paper evaluates the working capital management (WCM) efficiency of the Indian manufacturing industries through data envelopment analysis (DEA) and empirically investigates the influence of several exogenous variables on the WCM efficiency.
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    InAs nanostructures for solar cell: Improved efficiency by submonolayer quantum dot
    (Elsevier, 2021-06) Kumar, Rahul
    The effect of different quantum structures in the intrinsic region of a pin junction solar cell (SC) on the optical and electrical properties have been investigated. SCs with different quantum structures, such as, Stranski-Krastanov (SK) quantum dots (QDs), quantum well (QW), submonolayer (SML) QDs (0.25 ML, 0.5 ML and 0.75 ML) and a quasi-monolayer (1 ML) InAs stack, were fabricated while keeping the total InAs content the same in all SCs. In a comparison of performance, the SML-QD sample delivered superior performance (Almost 23% relative efficiency improvement compared to reference SC) compared to the other devices. Moreover, different coverages of SML InAs have been tested for optimum performance improvement of solar cell and near 0.25 ML InAs deposition was found best for solar cell application. These findings present a promising alternative to SK-QDs as intermediate band in photovoltaic applications