V. Narwane - Academia.edu (original) (raw)

Papers by V. Narwane

Research paper thumbnail of An exploration into the factors influencing the implementation of big data analytics in sustainable supply chain management

Kybernetes

PurposeWith big data (BD), traditional supply chain is shifting to digital supply chain. This stu... more PurposeWith big data (BD), traditional supply chain is shifting to digital supply chain. This study aims to address the issues and challenges in the way toward the implementation of big data analytics (BDA) in sustainable supply chain management (SSCM).Design/methodology/approachThe factors that affect the implementation of BDA in SSCM are identified through a widespread literature review. The PESTEL framework is used for this purpose as it covers all the political, economic, social, technological, environmental and legal factors. These factors are then finalized by means of experts' opinion and analyzed using structural equation modeling (SEM).FindingsA total of 10 factors are finalized with 31 sub-factors, of which sustainable performance, competitive advantage, stakeholders' involvement and capabilities, lean and green practices and improvement in environmental performance are found to be the critical factors for the implementation of BDA in SSCM.Research limitations/impl...

Research paper thumbnail of Evaluating the Effect of Human Factors on Big Data Analytics and Cloud of Things Adoption in the Manufacturing Micro, Small, and Medium Enterprises

Research paper thumbnail of Optimization Model of Medical Nuclear Supply Chain by Using Genetic Algorithm

Industrial Engineering Journal, 2017

Supply chain consists of several processes ranging right from raw material stage up to the consum... more Supply chain consists of several processes ranging right from raw material stage up to the consumption stage by the end user. It is basically like the spinal cord of a human being which is the most vital part for supporting all activities of the human body. If this spinal cord fails, entire operations of the organizations get disrupted and the organization will collapse. Therefore, importance is given in trying to make the supply chain as robust as possible. Supply chains may be different for different organizations. There are critical supply chains for which extreme care has to be taken while maintaining their time sensitivity factors and shelf life factors, for example, perishable products like foodstuffs. In this report, a critical supply chain is dealt with. The aim is to optimize the supply chain of radioisotopes which are used in hospitals and imaging centres for detection of cancer or cardiac diseases.

Research paper thumbnail of Unmanned Aerial Vehicle for Road Monitoring: Fully Convolutional Networks Approach

Industrial Engineering Journal, 2019

Unmanned Aerial Vehicle (UAV) can be used to monitor road conditions, particularly road survey an... more Unmanned Aerial Vehicle (UAV) can be used to monitor road conditions, particularly road survey and inspection of distressed roads. UAVs can collect large amounts of datasets and ease of use made these devices popular in many applications. On the basis of the detailed literature survey, various methods and models of UAV for road monitoring were studied. Lack of consideration of all distresses and inadequate data is the major research limitations. In this paper, a model for the preparation of an extensive collection of data and the classification of this data using semantic segmentation is proposed. The proposed model would efficiently help with huge data collection and the model designed will classify the distresses for maintenance and construction purposes. The model can be modified with neural networks or deep learning algorithms for accuracy and various frameworks can be used for improving speed and training time.

Research paper thumbnail of Exploring the role of artificial intelligence in managing agricultural supply chain risk to counter the impacts of the COVID-19 pandemic

The International Journal of Logistics Management, 2021

PurposeIn India, artificial intelligence (AI) application in supply chain management (SCM) is sti... more PurposeIn India, artificial intelligence (AI) application in supply chain management (SCM) is still in a stage of infancy. Therefore, this article aims to study the factors affecting artificial intelligence adoption and validate AI’s influence on supply chain risk mitigation (SCRM).Design/methodology/approachThis study explores the effect of factors based on the technology, organization and environment (TOE) framework and three other factors, including supply chain integration (SCI), information sharing (IS) and process factors (PF) on AI adoption. Data for the survey were collected from 297 respondents from Indian agro-industries, and structural equation modeling (SEM) was used for testing the proposed hypotheses.FindingsThis study’s findings show that process factors, information sharing, and supply chain integration (SCI) play an essential role in influencing AI adoption, and AI positively influences SCRM. The technological, organizational and environmental factors have a nonsign...

Research paper thumbnail of Unlocking causal relations of barriers to big data analytics in manufacturing firms

Industrial Management & Data Systems, 2021

PurposeThis study initially aims to identify the barriers to the big data analytics (BDA) initiat... more PurposeThis study initially aims to identify the barriers to the big data analytics (BDA) initiative and further evaluates the barriers for knowing their interrelations and priority in improving the performance of manufacturing firms.Design/methodology/approachA total of 15 barriers to BDA adoption were identified through literature review and expert opinions. Data were collected from three types of industries: automotive, machine tools and electronics manufacturers in India. The grey-decision-making trial and evaluation laboratory (DEMATEL) method was employed to explore the cause–effect relationship amongst barriers. Further, the barrier's influences were outranked and cross-validated through analytic network process (ANP).FindingsThe results showed that “lack of data storage facility”, “lack of IT infrastructure”, “lack of organisational strategy” and “uncertain about benefits and long terms usage” were most common barriers to adopt BDA practices in all three industries.Pract...

Research paper thumbnail of Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains

Transportation Research Part E: Logistics and Transportation Review, 2021

Abstract The effect of big data on the lean, agile, resilient, and green (LARG) supply chain has ... more Abstract The effect of big data on the lean, agile, resilient, and green (LARG) supply chain has not been explored much in the literature. This study investigates the role of ‘Big Data Analytics’ (BDA) as a mediator between ‘sustainable supply chain business performance’ and key factors, namely, lean practices, social practices, environmental practices, organisational practices, supply chain practices, financial practices, and total quality management. A sample of 297 responses from thirty-seven Indian manufacturing firms was collected. The paper is beneficial for managers and practitioners to understand supply chain analytics, and it addresses challenges in the management of LARG practices to contribute to a sustainable supply chain.

Research paper thumbnail of A Perspective of Smart Manufacturing: A Case Study

Industrial Engineering Journal, 2018

Smart technology holds key for future in all sectors. Many interdisciplinary beneficial aspects o... more Smart technology holds key for future in all sectors. Many interdisciplinary beneficial aspects of smart manufacturing paradigm, research and development in manufacturing field have been increased substantially. However smart manufacturing application for subtractive manufacturing challenging. In this paper, issues smart manufacturing for subtractive manufacturing is studied. Firstly, the concept and current research in smart manufacturing is summarized. Then four layered framework is proposed consisting of physical service layer, virtual layer, web portal layer and user layer. Based on the framework, structure of cloud CNC application is proposed. Case study implementation on cloud based CNC machine validates the proposed method.

Research paper thumbnail of Design , Analysis and Fabrication of Quadruped Robot with Four bar Chain Leg Mechanism

The paper presents design, analysis and fabrication of a 1.71 Kg. quadruped robot which incorpora... more The paper presents design, analysis and fabrication of a 1.71 Kg. quadruped robot which incorporates four bar chain leg mechanism as its locomotion element. The main objectives of this paper are mechanical design, gait analysis and fabrication of quadruped robot. Quadruped robot designed and fabricated here involves 8 degrees of freedom which are controlled by servomotors and it walks on flat terrain using symmetrical gaits viz. trot and pace. Its locomotion is controlled by controlling angular rotation of servomotors.

Research paper thumbnail of Mathematical programming model to optimise an environmentally constructed supply chain: A genetic algorithm approach

International Journal of Operational Research, 2021

Graphitic carbon nitride (g-C 3 N 4)-supported V 2 O 5 catalysts were prepared by the impregnatio... more Graphitic carbon nitride (g-C 3 N 4)-supported V 2 O 5 catalysts were prepared by the impregnation pyrolysis method, and their physicochemical properties were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier transform infrared (FT-IR), Raman, X-ray photoelectron spectroscopy (XPS), UV−vis, TGA, N 2 adsorption, and H 2-TPR. These catalysts exhibit extremely high activity and selectivity in the aerobic oxidation of ethyl lactate to ethyl pyruvate. The excellent catalytic performance derives from the high surface-chemisorbed oxygen species. Low calcination temperature and interaction with g-C 3 N 4 are conducive to increasing the surface-chemisorbed oxygen species of V 2 O 5. The optimal catalyst 13V 2 O 5 /g-C 3 N 4 gives 96.2% conversion of ethyl lactate with 85.6% selectivity toward ethyl pyruvate in 4 h at 130°C and 1 atm oxygen, which is significantly superior to those of previously reported V-containing catalysts. This catalyst is also stable and reusable, and the ethyl pyruvate yield is reduced by less than 10% after four runs without any regeneration treatment.

Research paper thumbnail of Relevance of Database and Information Retrieval System in Mechanical Engineering Program: A Case Study

Journal of Engineering Education Transformations, 2020

A mechanical engineer often experiences the need for working on databases in his career. However,... more A mechanical engineer often experiences the need for working on databases in his career. However, it is observed that there is difficulty in convincing the students of Mechanical Engineering Program that the course of Database and Information Retrieval System is relevant to them. This paper focuses on the methodology adopted in order to reinforce the belief in the course of database and information retrieval system. It discusses about the objectives that were framed for the same. In order to attain the objectives, the students were trained to use Visual Basic for creating graphical user interface and SQL for making databases. The students were instructed to make applications related to mechanical engineering in groups of four. The feedbacks were taken from the students after the course. The qualitative analysis on the feedbacks from the students indicates that the students are able to create applications related to mechanical engineering. Validation was done using practical examination results of same batch of students. The performance of the students in the end semester practical exam also makes it evident that the students are comfortable in making User interface and database for any given application.

Research paper thumbnail of The Influence of Internal-External Factors on the Cloud Computing Adoption

International Journal of Business Information Systems, 2020

Research paper thumbnail of Barriers to Industry 4.0 Adoption: Indian Scenario

SSRN Electronic Journal, 2020

In order to realize the full potential of Industry 4.0 in India, this study employs an integrated... more In order to realize the full potential of Industry 4.0 in India, this study employs an integrated VIKOR-AHP method of MCDM to evaluate the rank of importance of various barriers for an in-depth understanding of these factors and bridge this research gap. This study identified 15 specific obstacles to successful Industry 4.0 implementation in India and thus this study is crucial for further understanding and adoption of Industry 4.0 in India. The results offer diverse implications for managers and professionals in India that will facilitate organizations for a socio-technical culture assimilation and to achieve their sustainable development goals. Further research can be directed in the way to reduce the impact of each of the 15 barriers as they can drastically impede the Implementation of Industry 4.0 in India.

Research paper thumbnail of Literature review on �Value Stream Mapping� using bibliometric tool

Industrial Engineering Journal, 2019

The objective of this study is to represent the prospect on 'Value Stream Mapping which is recent... more The objective of this study is to represent the prospect on 'Value Stream Mapping which is recently gaining more and more attention in every sector of Enterprises. To archive this purpose a dynamics methodology called as 'Systematic literature network analysis' has been applied. This methodology combines the 'bibliographic network' and the 'Systematic literature approach'. Systematic literature network analysis methodology has been adopted in this study allows complementing the traditional content-based literature into the bibliographic network by extracting quantitative information to detect the emerging trend and research carried out around the globe. This dynamic analysis has given the research direction and critical areas for applying Value Stream Mapping in a Production system.

Research paper thumbnail of Role of cloud computing technology in the education sector

Journal of Engineering, Design and Technology, 2021

Purpose This paper aims to provide a literature review on the cloud-based platforms for the educa... more Purpose This paper aims to provide a literature review on the cloud-based platforms for the education sectors. The several aspects of cloud computing adoption in education, remote/distance learning and the application of cloud-based design and manufacturing (CBDM) have been studied and theorised. Design/methodology/approach A four-step methodology was adopted to analyse and categorise the papers obtained through various search engines. Out of 429 research articles, 72 papers were shortlisted for the detailed analysis. Findings Many factors that influence cloud computing technology adoption in the education sector have been identified in this paper. The research findings on several research items have been tabulated and discussed. Based on the theoretical research done on cloud computing for education, cloud computing for remote/distance learning and CBDM, cloud computing could enhance the educational systems in mainly developing countries and improve the scope for remote/distance le...

Research paper thumbnail of Sustainable implementation drivers and barriers of lean-agile manufacturing in original equipment manufacturers: A literature review study

International Journal of Business Excellence, 2019

Research paper thumbnail of Identification of critical factors for big data analytics implementation in sustainable supply chain in emerging economies

Journal of Engineering, Design and Technology

Purpose The advancements in internet technologies and the use of sophisticated digital devices in... more Purpose The advancements in internet technologies and the use of sophisticated digital devices in supply chain operations incessantly generate enormous amounts of data, which is termed as big data (BD). The BD technologies have brought about a paradigm shift in the supply chain decision-making towards profitability and sustainability. The aim of this work is to address the issue of implementation of the big data analytics (BDA) in sustainable supply chain management (SSCM) by identifying the relevant factors and developing a structural model for this purpose. Design/methodology/approach Through a comprehensive literature review and experts’ opinion, the crucial factors are found using the PESTEL framework, which covers political, economic, social, technological, environmental and legal factors. The structural model is developed based on the results of the total interpretive structural modelling (TISM) procedure and MICMAC analysis. Findings The policy support regarding IT, culture o...

Research paper thumbnail of Path planning of material handling robot using Ant Colony Optimization ( ACO ) technique

The present work utilizes Ant Colony Optimization (ACO) technique for the generation of optimal m... more The present work utilizes Ant Colony Optimization (ACO) technique for the generation of optimal motion planning sequence. The present algorithm is based on ant's behavior, pheromone update & pheromone evaporation and is used to enhance the local search. This procedure is applied for proposed a method for path planning of mobile robot motion in warehouses for materials handling with starting from any location to reach a certain goal. Our technique as based on the well-known environment of the warehouse. To validate the proposed algorithm, the program has been developed in Visual C++.This technique can generated feasible, stable and optimal robotic materials handling sequence and then path sequence can satisfying the materials handling constraints with minimum travel time. The solution is either optimal or near optimal.

Research paper thumbnail of Kinematic Modeling of Quadruped Robot

This Paper presents design of a quadruped robot which tries to walk with medium speed on flat ter... more This Paper presents design of a quadruped robot which tries to walk with medium speed on flat terrain. The design of the quadruped is inspired by the four legged animal, two joints of the leg enable to perform two basic motions: lifting and stepping. The kinematic modeling proposes necessary conditions for stable walk on flat terrain. Brief guidelines for the design of the leg mechanism are presented through the study of various joints, links and degrees of freedom. Also a specific semicircular trajectory is proposed which provide the movement pattern of the legs.

Research paper thumbnail of The Critical Assessment of Cloud Manufacturing Technology and Future Trends

Cloud Manufacturing (CM) has created huge stir in manufacturing world recently. Combining benefic... more Cloud Manufacturing (CM) has created huge stir in manufacturing world recently. Combining beneficial aspects of Cloud computing with those of traditional manufacturing methods resulted into emergence of new paradigm of Cloud manufacturing. In this paper, thorough review is presented regarding the same, so as to understand the concept behind it. Identified advantages and limitations are assessed and listed down in later part. Some of the new technologies carrying great future scope, like ̳Cloud Robotics‘, ̳Cloud Based Design and Manufacturing‘, ̳Internet of things‘, are also explored in this paper. Paper concludes on the note that Cloud manufacturing is indeed responsible for huge progress in manufacturing sector, though overall development is still in earlier phases and more research work is yet required.

Research paper thumbnail of An exploration into the factors influencing the implementation of big data analytics in sustainable supply chain management

Kybernetes

PurposeWith big data (BD), traditional supply chain is shifting to digital supply chain. This stu... more PurposeWith big data (BD), traditional supply chain is shifting to digital supply chain. This study aims to address the issues and challenges in the way toward the implementation of big data analytics (BDA) in sustainable supply chain management (SSCM).Design/methodology/approachThe factors that affect the implementation of BDA in SSCM are identified through a widespread literature review. The PESTEL framework is used for this purpose as it covers all the political, economic, social, technological, environmental and legal factors. These factors are then finalized by means of experts' opinion and analyzed using structural equation modeling (SEM).FindingsA total of 10 factors are finalized with 31 sub-factors, of which sustainable performance, competitive advantage, stakeholders' involvement and capabilities, lean and green practices and improvement in environmental performance are found to be the critical factors for the implementation of BDA in SSCM.Research limitations/impl...

Research paper thumbnail of Evaluating the Effect of Human Factors on Big Data Analytics and Cloud of Things Adoption in the Manufacturing Micro, Small, and Medium Enterprises

Research paper thumbnail of Optimization Model of Medical Nuclear Supply Chain by Using Genetic Algorithm

Industrial Engineering Journal, 2017

Supply chain consists of several processes ranging right from raw material stage up to the consum... more Supply chain consists of several processes ranging right from raw material stage up to the consumption stage by the end user. It is basically like the spinal cord of a human being which is the most vital part for supporting all activities of the human body. If this spinal cord fails, entire operations of the organizations get disrupted and the organization will collapse. Therefore, importance is given in trying to make the supply chain as robust as possible. Supply chains may be different for different organizations. There are critical supply chains for which extreme care has to be taken while maintaining their time sensitivity factors and shelf life factors, for example, perishable products like foodstuffs. In this report, a critical supply chain is dealt with. The aim is to optimize the supply chain of radioisotopes which are used in hospitals and imaging centres for detection of cancer or cardiac diseases.

Research paper thumbnail of Unmanned Aerial Vehicle for Road Monitoring: Fully Convolutional Networks Approach

Industrial Engineering Journal, 2019

Unmanned Aerial Vehicle (UAV) can be used to monitor road conditions, particularly road survey an... more Unmanned Aerial Vehicle (UAV) can be used to monitor road conditions, particularly road survey and inspection of distressed roads. UAVs can collect large amounts of datasets and ease of use made these devices popular in many applications. On the basis of the detailed literature survey, various methods and models of UAV for road monitoring were studied. Lack of consideration of all distresses and inadequate data is the major research limitations. In this paper, a model for the preparation of an extensive collection of data and the classification of this data using semantic segmentation is proposed. The proposed model would efficiently help with huge data collection and the model designed will classify the distresses for maintenance and construction purposes. The model can be modified with neural networks or deep learning algorithms for accuracy and various frameworks can be used for improving speed and training time.

Research paper thumbnail of Exploring the role of artificial intelligence in managing agricultural supply chain risk to counter the impacts of the COVID-19 pandemic

The International Journal of Logistics Management, 2021

PurposeIn India, artificial intelligence (AI) application in supply chain management (SCM) is sti... more PurposeIn India, artificial intelligence (AI) application in supply chain management (SCM) is still in a stage of infancy. Therefore, this article aims to study the factors affecting artificial intelligence adoption and validate AI’s influence on supply chain risk mitigation (SCRM).Design/methodology/approachThis study explores the effect of factors based on the technology, organization and environment (TOE) framework and three other factors, including supply chain integration (SCI), information sharing (IS) and process factors (PF) on AI adoption. Data for the survey were collected from 297 respondents from Indian agro-industries, and structural equation modeling (SEM) was used for testing the proposed hypotheses.FindingsThis study’s findings show that process factors, information sharing, and supply chain integration (SCI) play an essential role in influencing AI adoption, and AI positively influences SCRM. The technological, organizational and environmental factors have a nonsign...

Research paper thumbnail of Unlocking causal relations of barriers to big data analytics in manufacturing firms

Industrial Management & Data Systems, 2021

PurposeThis study initially aims to identify the barriers to the big data analytics (BDA) initiat... more PurposeThis study initially aims to identify the barriers to the big data analytics (BDA) initiative and further evaluates the barriers for knowing their interrelations and priority in improving the performance of manufacturing firms.Design/methodology/approachA total of 15 barriers to BDA adoption were identified through literature review and expert opinions. Data were collected from three types of industries: automotive, machine tools and electronics manufacturers in India. The grey-decision-making trial and evaluation laboratory (DEMATEL) method was employed to explore the cause–effect relationship amongst barriers. Further, the barrier's influences were outranked and cross-validated through analytic network process (ANP).FindingsThe results showed that “lack of data storage facility”, “lack of IT infrastructure”, “lack of organisational strategy” and “uncertain about benefits and long terms usage” were most common barriers to adopt BDA practices in all three industries.Pract...

Research paper thumbnail of Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains

Transportation Research Part E: Logistics and Transportation Review, 2021

Abstract The effect of big data on the lean, agile, resilient, and green (LARG) supply chain has ... more Abstract The effect of big data on the lean, agile, resilient, and green (LARG) supply chain has not been explored much in the literature. This study investigates the role of ‘Big Data Analytics’ (BDA) as a mediator between ‘sustainable supply chain business performance’ and key factors, namely, lean practices, social practices, environmental practices, organisational practices, supply chain practices, financial practices, and total quality management. A sample of 297 responses from thirty-seven Indian manufacturing firms was collected. The paper is beneficial for managers and practitioners to understand supply chain analytics, and it addresses challenges in the management of LARG practices to contribute to a sustainable supply chain.

Research paper thumbnail of A Perspective of Smart Manufacturing: A Case Study

Industrial Engineering Journal, 2018

Smart technology holds key for future in all sectors. Many interdisciplinary beneficial aspects o... more Smart technology holds key for future in all sectors. Many interdisciplinary beneficial aspects of smart manufacturing paradigm, research and development in manufacturing field have been increased substantially. However smart manufacturing application for subtractive manufacturing challenging. In this paper, issues smart manufacturing for subtractive manufacturing is studied. Firstly, the concept and current research in smart manufacturing is summarized. Then four layered framework is proposed consisting of physical service layer, virtual layer, web portal layer and user layer. Based on the framework, structure of cloud CNC application is proposed. Case study implementation on cloud based CNC machine validates the proposed method.

Research paper thumbnail of Design , Analysis and Fabrication of Quadruped Robot with Four bar Chain Leg Mechanism

The paper presents design, analysis and fabrication of a 1.71 Kg. quadruped robot which incorpora... more The paper presents design, analysis and fabrication of a 1.71 Kg. quadruped robot which incorporates four bar chain leg mechanism as its locomotion element. The main objectives of this paper are mechanical design, gait analysis and fabrication of quadruped robot. Quadruped robot designed and fabricated here involves 8 degrees of freedom which are controlled by servomotors and it walks on flat terrain using symmetrical gaits viz. trot and pace. Its locomotion is controlled by controlling angular rotation of servomotors.

Research paper thumbnail of Mathematical programming model to optimise an environmentally constructed supply chain: A genetic algorithm approach

International Journal of Operational Research, 2021

Graphitic carbon nitride (g-C 3 N 4)-supported V 2 O 5 catalysts were prepared by the impregnatio... more Graphitic carbon nitride (g-C 3 N 4)-supported V 2 O 5 catalysts were prepared by the impregnation pyrolysis method, and their physicochemical properties were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier transform infrared (FT-IR), Raman, X-ray photoelectron spectroscopy (XPS), UV−vis, TGA, N 2 adsorption, and H 2-TPR. These catalysts exhibit extremely high activity and selectivity in the aerobic oxidation of ethyl lactate to ethyl pyruvate. The excellent catalytic performance derives from the high surface-chemisorbed oxygen species. Low calcination temperature and interaction with g-C 3 N 4 are conducive to increasing the surface-chemisorbed oxygen species of V 2 O 5. The optimal catalyst 13V 2 O 5 /g-C 3 N 4 gives 96.2% conversion of ethyl lactate with 85.6% selectivity toward ethyl pyruvate in 4 h at 130°C and 1 atm oxygen, which is significantly superior to those of previously reported V-containing catalysts. This catalyst is also stable and reusable, and the ethyl pyruvate yield is reduced by less than 10% after four runs without any regeneration treatment.

Research paper thumbnail of Relevance of Database and Information Retrieval System in Mechanical Engineering Program: A Case Study

Journal of Engineering Education Transformations, 2020

A mechanical engineer often experiences the need for working on databases in his career. However,... more A mechanical engineer often experiences the need for working on databases in his career. However, it is observed that there is difficulty in convincing the students of Mechanical Engineering Program that the course of Database and Information Retrieval System is relevant to them. This paper focuses on the methodology adopted in order to reinforce the belief in the course of database and information retrieval system. It discusses about the objectives that were framed for the same. In order to attain the objectives, the students were trained to use Visual Basic for creating graphical user interface and SQL for making databases. The students were instructed to make applications related to mechanical engineering in groups of four. The feedbacks were taken from the students after the course. The qualitative analysis on the feedbacks from the students indicates that the students are able to create applications related to mechanical engineering. Validation was done using practical examination results of same batch of students. The performance of the students in the end semester practical exam also makes it evident that the students are comfortable in making User interface and database for any given application.

Research paper thumbnail of The Influence of Internal-External Factors on the Cloud Computing Adoption

International Journal of Business Information Systems, 2020

Research paper thumbnail of Barriers to Industry 4.0 Adoption: Indian Scenario

SSRN Electronic Journal, 2020

In order to realize the full potential of Industry 4.0 in India, this study employs an integrated... more In order to realize the full potential of Industry 4.0 in India, this study employs an integrated VIKOR-AHP method of MCDM to evaluate the rank of importance of various barriers for an in-depth understanding of these factors and bridge this research gap. This study identified 15 specific obstacles to successful Industry 4.0 implementation in India and thus this study is crucial for further understanding and adoption of Industry 4.0 in India. The results offer diverse implications for managers and professionals in India that will facilitate organizations for a socio-technical culture assimilation and to achieve their sustainable development goals. Further research can be directed in the way to reduce the impact of each of the 15 barriers as they can drastically impede the Implementation of Industry 4.0 in India.

Research paper thumbnail of Literature review on �Value Stream Mapping� using bibliometric tool

Industrial Engineering Journal, 2019

The objective of this study is to represent the prospect on 'Value Stream Mapping which is recent... more The objective of this study is to represent the prospect on 'Value Stream Mapping which is recently gaining more and more attention in every sector of Enterprises. To archive this purpose a dynamics methodology called as 'Systematic literature network analysis' has been applied. This methodology combines the 'bibliographic network' and the 'Systematic literature approach'. Systematic literature network analysis methodology has been adopted in this study allows complementing the traditional content-based literature into the bibliographic network by extracting quantitative information to detect the emerging trend and research carried out around the globe. This dynamic analysis has given the research direction and critical areas for applying Value Stream Mapping in a Production system.

Research paper thumbnail of Role of cloud computing technology in the education sector

Journal of Engineering, Design and Technology, 2021

Purpose This paper aims to provide a literature review on the cloud-based platforms for the educa... more Purpose This paper aims to provide a literature review on the cloud-based platforms for the education sectors. The several aspects of cloud computing adoption in education, remote/distance learning and the application of cloud-based design and manufacturing (CBDM) have been studied and theorised. Design/methodology/approach A four-step methodology was adopted to analyse and categorise the papers obtained through various search engines. Out of 429 research articles, 72 papers were shortlisted for the detailed analysis. Findings Many factors that influence cloud computing technology adoption in the education sector have been identified in this paper. The research findings on several research items have been tabulated and discussed. Based on the theoretical research done on cloud computing for education, cloud computing for remote/distance learning and CBDM, cloud computing could enhance the educational systems in mainly developing countries and improve the scope for remote/distance le...

Research paper thumbnail of Sustainable implementation drivers and barriers of lean-agile manufacturing in original equipment manufacturers: A literature review study

International Journal of Business Excellence, 2019

Research paper thumbnail of Identification of critical factors for big data analytics implementation in sustainable supply chain in emerging economies

Journal of Engineering, Design and Technology

Purpose The advancements in internet technologies and the use of sophisticated digital devices in... more Purpose The advancements in internet technologies and the use of sophisticated digital devices in supply chain operations incessantly generate enormous amounts of data, which is termed as big data (BD). The BD technologies have brought about a paradigm shift in the supply chain decision-making towards profitability and sustainability. The aim of this work is to address the issue of implementation of the big data analytics (BDA) in sustainable supply chain management (SSCM) by identifying the relevant factors and developing a structural model for this purpose. Design/methodology/approach Through a comprehensive literature review and experts’ opinion, the crucial factors are found using the PESTEL framework, which covers political, economic, social, technological, environmental and legal factors. The structural model is developed based on the results of the total interpretive structural modelling (TISM) procedure and MICMAC analysis. Findings The policy support regarding IT, culture o...

Research paper thumbnail of Path planning of material handling robot using Ant Colony Optimization ( ACO ) technique

The present work utilizes Ant Colony Optimization (ACO) technique for the generation of optimal m... more The present work utilizes Ant Colony Optimization (ACO) technique for the generation of optimal motion planning sequence. The present algorithm is based on ant's behavior, pheromone update & pheromone evaporation and is used to enhance the local search. This procedure is applied for proposed a method for path planning of mobile robot motion in warehouses for materials handling with starting from any location to reach a certain goal. Our technique as based on the well-known environment of the warehouse. To validate the proposed algorithm, the program has been developed in Visual C++.This technique can generated feasible, stable and optimal robotic materials handling sequence and then path sequence can satisfying the materials handling constraints with minimum travel time. The solution is either optimal or near optimal.

Research paper thumbnail of Kinematic Modeling of Quadruped Robot

This Paper presents design of a quadruped robot which tries to walk with medium speed on flat ter... more This Paper presents design of a quadruped robot which tries to walk with medium speed on flat terrain. The design of the quadruped is inspired by the four legged animal, two joints of the leg enable to perform two basic motions: lifting and stepping. The kinematic modeling proposes necessary conditions for stable walk on flat terrain. Brief guidelines for the design of the leg mechanism are presented through the study of various joints, links and degrees of freedom. Also a specific semicircular trajectory is proposed which provide the movement pattern of the legs.

Research paper thumbnail of The Critical Assessment of Cloud Manufacturing Technology and Future Trends

Cloud Manufacturing (CM) has created huge stir in manufacturing world recently. Combining benefic... more Cloud Manufacturing (CM) has created huge stir in manufacturing world recently. Combining beneficial aspects of Cloud computing with those of traditional manufacturing methods resulted into emergence of new paradigm of Cloud manufacturing. In this paper, thorough review is presented regarding the same, so as to understand the concept behind it. Identified advantages and limitations are assessed and listed down in later part. Some of the new technologies carrying great future scope, like ̳Cloud Robotics‘, ̳Cloud Based Design and Manufacturing‘, ̳Internet of things‘, are also explored in this paper. Paper concludes on the note that Cloud manufacturing is indeed responsible for huge progress in manufacturing sector, though overall development is still in earlier phases and more research work is yet required.