Abhishek Kumar Singh and Krishna Mohan Singh
In the present work, we focus on developing an in-house parallel meshless local Petrov-Galerkin (MLPG) code for the analysis of heat conduction in two-dimensional and…
Abstract
Purpose
In the present work, we focus on developing an in-house parallel meshless local Petrov-Galerkin (MLPG) code for the analysis of heat conduction in two-dimensional and three-dimensional regular as well as complex geometries.
Design/methodology/approach
The parallel MLPG code has been implemented using open multi-processing (OpenMP) application programming interface (API) on the shared memory multicore CPU architecture. Numerical simulations have been performed to find the critical regions of the serial code, and an OpenMP-based parallel MLPG code is developed, considering the critical regions of the sequential code.
Findings
Based on performance parameters such as speed-up and parallel efficiency, the credibility of the parallelization procedure has been established. Maximum speed-up and parallel efficiency are 10.94 and 0.92 for regular three-dimensional geometry (343,000 nodes). Results demonstrate the suitability of parallelization for larger nodes as parallel efficiency and speed-up are more for the larger nodes.
Originality/value
Few attempts have been made in parallel implementation of the MLPG method for solving large-scale industrial problems. Although the literature suggests that message-passing interface (MPI) based parallel MLPG codes have been developed, the OpenMP model has rarely been touched. This work is an attempt at the development of OpenMP-based parallel MLPG code for the very first time.
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Abhishek Kumar Singh and Krishna Mohan Singh
The work presents a novel implementation of the generalized minimum residual (GMRES) solver in conjunction with the interpolating meshless local Petrov–Galerkin (MLPG) method to…
Abstract
Purpose
The work presents a novel implementation of the generalized minimum residual (GMRES) solver in conjunction with the interpolating meshless local Petrov–Galerkin (MLPG) method to solve steady-state heat conduction in 2-D as well as in 3-D domains.
Design/methodology/approach
The restarted version of the GMRES solver (with and without preconditioner) is applied to solve an asymmetric system of equations, arising due to the interpolating MLPG formulation. Its performance is compared with the biconjugate gradient stabilized (BiCGSTAB) solver on the basis of computation time and convergence behaviour. Jacobi and successive over-relaxation (SOR) methods are used as the preconditioners in both the solvers.
Findings
The results show that the GMRES solver outperforms the BiCGSTAB solver in terms of smoothness of convergence behaviour, while performs slightly better than the BiCGSTAB method in terms of Central processing Unit (CPU) time.
Originality/value
MLPG formulation leads to a non-symmetric system of algebraic equations. Iterative methods such as GMRES and BiCGSTAB methods are required for its solution for large-scale problems. This work presents the use of GMRES solver with the MLPG method for the very first time.
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Rituraj Singh and Krishna Mohan Singh
The purpose of this paper is to assess the performance of the stabilised moving least squares (MLS) scheme in the meshless local Petrov–Galerkin (MLPG) method for heat conduction…
Abstract
Purpose
The purpose of this paper is to assess the performance of the stabilised moving least squares (MLS) scheme in the meshless local Petrov–Galerkin (MLPG) method for heat conduction method.
Design/methodology/approach
In the current work, the authors extend the stabilised MLS approach to the MLPG method for heat conduction problem. Its performance has been compared with the MLPG method based on the standard MLS and local coordinate MLS. The patch tests of MLS and modified MLS schemes have been presented along with the one- and two-dimensional examples for MLPG method of the heat conduction problem.
Findings
In the stabilised MLS, the condition number of moment matrix is independent of the nodal spacing and it is nearly constant in the global domain for all grid sizes. The shifted polynomials based MLS and stabilised MLS approaches are more robust than the standard MLS scheme in the MLPG method analysis of heat conduction problems.
Originality/value
The MLPG method based on the stabilised MLS scheme.
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Shaheed Khan, Swarna M. Freeda Maria and Ajoy K. Bhattacharya
Call it the curse, the myth, the legend, the dacoits, the flora and fauna, the River, and the valley remains untouched and pristine and is home to many endemic species and is…
Abstract
Call it the curse, the myth, the legend, the dacoits, the flora and fauna, the River, and the valley remains untouched and pristine and is home to many endemic species and is blessed with stark but beautiful landscape, the surreal world of an era gone by, the ravage of the ravines, which have been preserved, protected, and conserved, albeit for the ‘ancient curses,’ and yes being a home to the ‘dreaded outlaws’ and ‘modern dacoits.’ Whether it was the fear for one’s life considering it was a dacoit area or also known as ‘gun powder area,’ or the curses that none wanted to garner to themselves, Chambal is slowly but steadily ebbing out of the dark shadows that it once was. The river itself passes through Madhya Pradesh, Rajasthan, and Uttar Pradesh, before joining the river Yamuna. Declared a Protected Area (PA) in 1978, the nomenclature of dark tourism will be ubiquitous to the Chambal River valley, considering that the area is dotted by a multitude of forts, and heritage destinations, that have frozen in the sands of time; either on account of the stories that meander, as the river does, with its deep ravines, ravines that invite the adventurer. It is the last bastion for the nation’s endangered wildlife, viz., Gharial, Maggar, Turtles, Otter, and the fresh water Dolphin, which has encouraged the Government to get the local community to be part of the special purpose vehicle promoting tourism. The authors known for their contribution to community-based ecotourism (CBE) have visited the Chambal area and worked with the communities and bureaucracy to ensure conclusions.
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Budati Anil Kumar, George Ghinea, S.B. Goyal, Krishna Kant Singh and Shayla Islam
Radha Krishna Lal, Vikas Kumar Choubey, J.P. Dwivedi and V.P. Singh
The purpose of this paper is to deal with the springback problems of channel cross-section bars of linear and non-linear work-hardening materials under torsional loading. Using…
Abstract
Purpose
The purpose of this paper is to deal with the springback problems of channel cross-section bars of linear and non-linear work-hardening materials under torsional loading. Using the deformation theory of plasticity, a numerical scheme based on the finite difference approximation has been proposed. The growth of the elastic-plastic boundary and the resulting stresses while loading, and the springback and the residual stresses after unloading are calculated.
Design/methodology/approach
The numerical method which has been described in this paper for obtaining the solution of elasto-plastic solution can also be used for other sections. The only care that needs to be taken is to decrease the mesh size near points of stress concentration. The advantage of this technique is that it automatically takes care of all plastic zones developing over the section at different loads and gives a solution satisfying the elastic and plastic torsion equations in their respective regions.
Findings
As expected, elastic recovery is found to be more with decreasing values of n and λ. The difference in springback becomes more and more with increasing values of angle of twist. The material will approach an elastic ideally plastic behavior with increasing values of λ and n.
Originality/value
It seems that no attempt has been made to study residual stresses in elasto-plastic torsion of a work-hardening material for a channel cross-section.
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Krishna Mohan A., Reddy P.V.N. and Satya Prasad K.
In the community of visual tracking or object tracking, discriminatively learned correlation filter (DCF) has gained more importance. When it comes to speed, DCF gives the best…
Abstract
Purpose
In the community of visual tracking or object tracking, discriminatively learned correlation filter (DCF) has gained more importance. When it comes to speed, DCF gives the best performance. The purpose of this study is to anticipate the object visually. For tracking the object visually, the authors proposed a new model based on the convolutional regression technique. Features like HOG and Harris are used for the process of feature extraction. The authors’ proposed method will give the best results when compared with other existing methods.
Design/methodology/approach
The visual tracking of many real-world applications such as robotics, smart monitoring systems, independent driving and human-computer interactions are a major and current research problem in the field of computer vision. This refers to the automated trajectory prediction of an arbitrary target object, often given in the first frame in a bounding box while moving about in successive video frames. In the community of visual tracking or object tracking, DCF has gained more importance. Discriminative trackers strive to train a classifier that differentiates the target item from the background. The fundamental concept is to train a correlation filter that creates high responses around the target and low responses elsewhere. For tracking the object visually, the authors proposed a new model based on the convolutional regression technique. Features like HOG and Harris are used for the process of feature extraction. Through experimental analysis, the authors have evaluated several performance assessment metrics such as accuracy, precision, F-measure and specificity. The authors’ proposed method will give the best results when compared with other existing methods.
Findings
This process involved DCF which gained more importance. When it comes to speed, DCF gives the best performance. The main objective of this study is to anticipate the object visually. For tracking the object visually, the authors proposed a new model based on the convolutional regression technique for tracking the objects and these results will be used for identifying the action of the object.
Originality/value
The main theme exists in the process is to identify the tracking motion of the object by using convolution regression with varied features. This method proves that it will provide better results when compared to state of art methods.
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V. Sreekanth, E.G. Kavilal, Sanu Krishna and Nidhun Mohan
This paper aims to highlight how the six sigma methods helped the medical equipment manufacturing company in finding and analysing the root causes that lead to the reduction in…
Abstract
Purpose
This paper aims to highlight how the six sigma methods helped the medical equipment manufacturing company in finding and analysing the root causes that lead to the reduction in production rate, rejection rates, quality and other major causes that lead to the reduction in productivity of the blood bags manufacturing unit.
Design/methodology/approach
Given the critical nature of blood bag manufacturing Six Sigma was chosen as the primary methodology for this research since Six Sigma’s data-driven approach provides a structured framework to identify, analyse and rectify inefficiencies in the production processes. This study proposes the Six Sigma DMAIC (D-Define, M-Measure, A-Analyse, I-Improve, C-Control) encompassing rigorous problem definition, precise measurement, thorough analysis, improvement and vigilant control mechanisms for effectively attaining predetermined objectives.
Findings
The paper demonstrates how the Six Sigma principles were executed in a blood bag manufacturing unit. After a detailed and thorough data analysis, it was found that a total of 40 critical-to-quality factors under the five drivers such as Machine, Components, Inspection and Testing, People and Workspace were influential factors affecting the manufacturing of blood bags. From the study, it is identified that the drivers such as inspection and testing, components and machines contribute significantly to increasing productivity.
Research limitations/implications
The paper offers valuable strategic insights into implementing Six Sigma methodologies within the specific context of a blood bag manufacturing unit. The Six Sigma tools and techniques used by the project team to solve issues within the blood bag manufacturing unit can be used for similar healthcare organizations to successfully deploy Six Sigma. The insights from this research might not be directly applicable to other manufacturing facilities or industries but can be used as a guiding reference for researchers and managers.
Originality/value
The current state of scholarly literature indicates a significant absence in the examination of Six Sigma methodologies designed specifically to improve production output in healthcare equipment manufacturing. This paper highlights the application of Six Sigma principles to enhance efficiency in the specific context of blood bag manufacturing.
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Rashmi Aggarwal, Harsahib Singh and Vinita Krishna
The case is written on the basis of published sources only.
Abstract
Research methodology
The case is written on the basis of published sources only.
Case overview/synopsis
Doodlage, a start-up incorporated in 2012 by Kriti Tula, Paras Arora and Vaibhav Kapoor, used discarded waste to create sustainable fashion products. It had a first-mover advantage in recycled fashion goods in the first 10 years of its existence. The company contributed to sustainable fashion by providing an alternative to fast fashion production, creating enormous clothing waste and environmental degradation. In the first quarter of 2022, it saved and reused 15,000 m of fabric waste. From 2018 to 2021, the company grew 150% annually, targeting the right customers and regions to expand its business. It ensured that postproduction industrial waste and postconsumption garments were used to produce clothes. It also confirmed that the waste generated in its fabric screening process was used to create stationery items and other valuable accessories.
However, the sustainable fashion model that gave the company a competitive advantage became obsolete in 2022 due to increasing competition in the industry as various players using unique ideas entered the market. The company is encountering operational and logistical challenges that are affecting its performance. The demand for its products was also subdued due to high prices of upcycled and recycled clothes and less consumer spending post-COVID pandemic. The competitors of Doodlage offered multiple products produced using environmentally friendly farming and manufacturing techniques, attracting sustainable purchasers. What should be the new portfolio of products for the company to explore future growth opportunities? Considering their vast price, can consumers be encouraged to buy upcycled clothes? How should the company ride the winds of change in the industry?
Complexity academic level
The instructor should initiate the class discussion by asking questions such as how frequently do you shop for clothes? Do you care about the fabric of your apparel? After you discard your clothes, do you think about where these goods finally end up? Data on the amount of total waste generated in the fashion industry should be communicated to students to connect it with the importance of the concept of circular economy. Post this, the instructor should introduce the business model of Doodlage to bring the discussion into the context of the fashion industry before going ahead to discuss the company’s dilemma.
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Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) launched in the year 2006, with the pursuit of the objective of removing poverty and unemployment and thus…
Abstract
Purpose
Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) launched in the year 2006, with the pursuit of the objective of removing poverty and unemployment and thus address the issue of financial inclusion. The performance of the programme across the states in India has not been uniform. The purpose of this study is to focus on the financial inclusiveness features associated with MGNREGS program across the selected districts in West Bengal in the years of recent past.
Design/methodology/approach
In this study, financial inclusion index has been developed by consideration of four indicators with the help of principal component method. Fixed effect regression model has been applied to explain the impact of relevant determinants on financial inclusion index.
Findings
It is observed that out of 19 districts, seven districts registered an increase in the value of the financial inclusion index in the year 2019 compared to that in the year 2013. The empirical analysis for identifying the determinants of overall inclusion reveals that factors like households having active job card, utilization of fund, amount of labour cost and number of works have significant influence on financial inclusion.
Originality/value
The study widely discussed how the scheme was helping in promoting financial inclusion by providing wage payment through banks and post offices accounts. The author has also tried to highlight some of the difficulties in accelerating the speed of financial inclusion when banks and post offices are used as a means for wage payment and finally provide remedial measures that could be taken to tackle these problems.