BITS Faculty Publications
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Item Uncertainty analysis of workpiece orientation: a mathematical decision support system for circular geometry measurements(Elsevier, 2025-06) Sangwan, Kuldip SinghThe article aims at quantifying and controlling the measurement uncertainties contributed by the workpiece orientation during the automated inspection of a circular geometry by using Coordinate Measuring Machines. The paper proposes a mathematical model to compute angular error and circular variance to quantify and minimize the measurement uncertainty associated with the workpiece orientation. The proposed methodology involves part programming, acquisition of the raw coordinate data points through experiments, identification of the potential factors influencing measurement results, development of the mathematical model to estimate and correct measurement uncertainties, and finally supports the user to minimize the variations in the measurement results. It was found that diameter, circularity and centroid measurements are affected by the workpiece orientation and probe start position has a significant effect on the measurement results. The proposed model reduced uncertainties as the data tends to spread uniformly along the geometric feature. The overall measurement results improved by 12 %.Item Business intelligence and data analytics: Proceedings of BIDA 2024(Springer, 2025) Verma, AbhishekThis book is a collection of the high-quality research articles presented at the International Conference on Business Intelligence and Data Analytics (BIDA 2024), organized by RV Institute of Management (RVIM), Bengaluru, India, during April 2024. The book covers state-of-the-art research articles from the researchers and practitioners working in the field of business intelligence, data analytics, decision support systems, data warehousing and data mining, big data analytics, predictive and prescriptive analytics, and machine learning for business applications and their real-world applications.Item Business intelligence and data analytics(Springer, 2025) Verma, AbhishekThis book is a collection of the high-quality research articles presented at the International Conference on Business Intelligence and Data Analytics (BIDA 2024), organized by RV Institute of Management (RVIM), Bengaluru, India, during April 2024. The book covers state-of-the-art research articles from the researchers and practitioners working in the field of business intelligence, data analytics, decision support systems, data warehousing and data mining, big data analytics, predictive and prescriptive analytics, and machine learning for business applications and their real-world applications.Item Development of a Decision Support System for 3D Printing Processes based on Cyber Physical Production Systems(Elsevier, 2021) Sangwan, Kuldip Singh3D printing, an additive manufacturing (AM) technology, potentially provides sustainability advantages such as less waste generation, lightweight geometries, reduced material and energy consumption, lower inventory waste, etc. This paper proposes a decision support system for the 3D printing process based on Cyber Physical Production System (CPPS). The user is enabled to dynamically assess the carbon footprint based on the energy and material usage for their 3D printed object. A CPPS framework for the environmental sustainability of the 3D printing process is presented, which supports the derivation of improved strategies for product design and production. A physical world for 3D printing is used with the internet of things (IoT) devices like sensor node, webcam, smart plugs, and raspberry pi to host printer Management Software (PMS) for real-time monitoring and control of material and energy consumption during the printing process. Experiments have been conducted based on Taguchi L9 orthogonal array with polylactic Acid (PLA) as a filament material to estimate the product-related manufacturing energy consumption with the carbon footprint. The proposed framework can be effectively used by the users to supports the decision-making process for saving resources and energy; and minimizing the effect on the environment.Item Evaluation of manufacturing systems based on environmental aspects using a multi-criteria decision model(Inder Science, 2013-04) Sangwan, Kuldip SinghWith growing awareness of environmental issues, business and government have come under increasing pressure to reduce the environmental impacts involved in the production and consumption of goods and services. However, the evaluation of manufacturing systems from environmental perspective has often been neglected partly because of multifaceted criteria. This paper presents a criteria catalogue and a multi-criteria decision model for the evaluation of manufacturing systems based on environmental aspects of the manufacturing system. The methodology has been validated by a case study of Indian industry.Item A fuzzy-based decision support framework for product recovery process selection in reverse logistics(Inder Science, 2016-11) Sangwan, Kuldip SinghOwing to the increasing attention to sustainability and green manufacturing as well as the legislations and competition, product recovery management has become an important issue to extend the product's life. It is an environmentally, economically and socially sound way to achieve many of the goals of sustainable development. In this paper, a fuzzy-based multi-criteria decision making framework has been proposed for the evaluation of alternate product recovery processes. The evaluation has been done based on the criteria of operating cost, value added recovery, environmental impact, market demand, technical/operational feasibility, and corporate social responsibility. The five alternative product recovery processes identified in the study are repair, refurbishing, remanufacturing, cannibalising, and recycling. The novelty of the framework is that it takes care of the inherent uncertainties in reverse logistics environment; and managers can provide different weights to different criteria depending upon the company strengths, weaknesses, opportunities and threats in the business environment.Item Performance of a dual sensor based interference cancellation scheme for downstream DSL(IEEE, 2016-07) Zafaruddin, S.M.The use of common-mode (CM) sensor as an interference-alone reference is a viable technique to mitigate an external interference that couples into the useful differential-mode (DM) signal. In this paper, we derive performance bounds on a joint CM-DM based dual sensor interference cancellation scheme in frequency domain and investigate the impact of the CM sensor parameters on the performance of the downstream DSL system under different scenarios of external interference. We derive a tight lower bound on the capacity using parameters available in real time, and show that the optimal capacity can be achieved with a single CM sensor even in the presence of multiple interference under certain conditions on coupling transfer functions. By considering a minimum-mean square (MMSE) based canceler scheme, we derive closed form expressions on the noise variance at the output of the canceler in terms of system parameters of the CM and DM sensors. We show that the canceler can achieve the interference-free performance in various types of external interference provided a higher interference to noise ratio at the CM sensor. Measurement results from a VDSL CPE and computer simulations are presented to demonstrate the performance of the considered canceler scheme.Item Improved Bitmap Indexing Strategy for Data Warehouses(IEEE, 2006) Sharma, Yashvardhan; Goyal, NavneetImproving the query performance is critical in data warehousing and decision support systems. A lot of methods have been proposed by various researches. Indexing the data warehouse is a common but effective technique. Bitmap indices play a very important role in improving query performance in data warehousing and decision support systems. In this paper we present a new bitmap indexing strategy that can be applied to any existing bitmap compression schemes that are based on run length encoding. The new strategy, in most cases, requires less space and provides performance gains as well. The new strategy is tested on two commonly used bitmap compression schemes namely, word-aligned hybrid (WAH) and byte-aligned bitmap code (BBC) and results are presented graphically. The proposed strategy simply sorts the field on which a bitmap is to be created. Sorting of the field ensures long runs of ones and zeros. These long runs of ones and zeros are desirable for any compression scheme that is based on run length encoding and its variants. The space required to store the bitmap indexes goes down dramatically. The effect of sorting on query response time is studied for equality and range queries and it is found that there is a considerable decrease in the response time of queries. The overheads associated with the proposed strategy are sorting a table on a particular field and maintaining a sorted table. These extra tasks could be easily performed during the ETL process or when the data warehouse is offline. The new strategy concentrates on reducing space requirement for the bitmap index and the response time of queries and achieves both objectives without incurring any processing overheads when the data warehouse is online.Item Water quality assessment of a river basin under fuzzy multi-criteria framework(Inder Science, 2015-07) Singh, Ajit Pratap; Srinivas, RallapalliIn this paper fuzzy analytical hierarchy process (FAHP) has been developed to evaluate status of water quality at eight selected stations along river Yamuna. A decision support mechanism has been introduced to select and prioritise stations with specific reference to five important beneficial uses namely, domestic, irrigation, aquatic life, industrial, and recreational activities. Various water quality parameters have been considered as criteria to evaluate water quality status at a given station with respect to particular usage. Pairwise comparisons of the criteria and the stations have been performed to assess water quality using linguistic variables. The eight stations chosen for the study in Yamuna basin are Hathnikund, Sonepat, Palla, Nizamuddin-Delhi, Mathura, Agra, Etawah and Allahabad. Analysis of results reveal that first three stations score highest rank with respect to all beneficial uses as they are relatively free from industrial and municipal contamination. However as the water enters Delhi, it gets heavily contaminated mainly due to wastewater discharged from several municipal drains and industrial activities. The prioritisations of stations with respect to designated uses presented herein are helpful to the decision makers and the implementing agencies to formulate suitable strategies for effective and sustainable utilisation of water in the river basinItem Sustainable management of a river basin by integrating an improved fuzzy based hybridized SWOT model and geo-statistical weighted thematic overlay analysis(Elsevier, 2018-08) Srinivas, Rallapalli; Singh, Ajit PratapSustainable river basin planning and management is a complex and uncertain phenomenon involving social, economic, environmental and several technical criteria. Despite global advancement, the problems associated sustainability have not been sufficiently addressed, due to mismanaged governance, poorly implemented policies, lack of suitable data and over-exploitation of river resources. Therefore, major rivers basins across the globe need an integrative and comprehensive strategic approach considering the diverse stakeholder’s perspective and conflicting criteria pertaining to sustainable management. The present study develops a decision support framework to assess the sustainability by coupling an improved fuzzy based hybridized strength-weakness-opportunities and threats model (FH-SWOT) with a geostatistical approach. To demonstrate the effectiveness of the model Ganges river basin, India has been taken as a case study. The novelty of the study is to devise six different hybrid mechanisms under FH-SWOT framework to reach best possible strategic alternatives along with nominal, optimistic and pessimistic perspectives of the stakeholders. To enhance the model’s productivity, it is coupled with weighted overlay geo-statistical approach to identify/prioritize the most vulnerable/critical locations, which needs suitable implementation of strategic alternatives derived using FH-SWOT model. The FH-SWOT model developed herein simultaneously delineates strategic alternatives and corresponding priority zones, while addressing the uncertainties related to stakeholder’s conflicts and imprecise data to reach optimal, pessimistic and nominal viewpoints, which leads to development of an innovative and comprehensive decision-support framework for assessing sustainability. The key policies derived from the study involve enforcing regulations on disposal of heavy metals, developing hydropower, adaptation of organic farming, education and participation of stakeholders, regulations on dams and barrages with a score of 0.2453, 0.2205, 0.2088, 0.1898, and 0.1288 respectively. Also, Kanpur- Varanasi stretch has been delineated as very high priority zone followed by regions located along the banks of Ganges. Sensitivity analysis proves that the model is robust and can be used by the environment managers towards sustainable planning and management of any river basin, lakes, wetlands or any major water body of the world.