Jaiprakash Bhamu - Academia.edu (original) (raw)

Papers by Jaiprakash Bhamu

Research paper thumbnail of Critical success factors of lean manufacturing for Indian ceramic industries: Modelling through interpretive ranking process

Indian Journal of Engineering and Materials Sciences, 2021

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Research paper thumbnail of Machine Vision in Industry 4.0

CRC Press eBooks, Feb 23, 2022

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Research paper thumbnail of Analysis of Barriers to Industry 4.0 adoption in Manufacturing Organizations: an ISM Approach

Procedia CIRP, 2021

Abstract Industry 4.0 has enabled technological integration of cyber physical systems and interne... more Abstract Industry 4.0 has enabled technological integration of cyber physical systems and internet based communication in manufacturing value creation processes. As of now, many people use it as a collective term for advanced technologies, i.e. advanced robotics, artificial intelligence, machine learning, big data analytics, cloud computing, smart sensors, internet of things, augmented reality, etc. This substantially improves flexibility, quality, productivity, cost, and customer satisfaction by transforming existing centralized manufacturing systems towards digital and decentralized one. Despite having potential benefits of industry 4.0, the organizations are facing typical obstacles and challenges in adopting new technologies and successful implementation in their business models. This paper aims to identify potential barriers which may hinder the implementation of industry 4.0 in manufacturing organizations. The identified barriers, through comprehensive literature review and on the basis of opinions collected from industry experts, are: poor value-chain integration, cyber-security challenges, uncertainty about economic benefits, lack of adequate skills in workforce, high investment requirements, lack of infrastructure, jobs disruptions, challenges in data management and data quality, lack of secure standards and norms, and resistance to change. Interpretive Structural Modeling (ISM) is used to establish relationships among these barriers to develop a hierarchical model and MICMAC analysis for further classification of identified barriers for better understanding. An analysis of driving and dependence of the barriers may help in clear understanding of these for successful implementation of Industry 4.0 practices in the organizations.

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Research paper thumbnail of Multi-objective optimisation and analysis of fused deposition modelling parameters: best infill patterns

International Journal of Six Sigma and Competitive Advantage, 2022

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Research paper thumbnail of Lean Manufacturing Implementation in Ceramic Industry: A Case Study

Sustainable production, life cycle engineering and management, 2020

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Research paper thumbnail of Reduction of Terminal Rejections and Failure Cost through Kaizen at Shop Floor of a Wire Harness Manufacturing Company

Lecture notes in mechanical engineering, Aug 20, 2020

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Research paper thumbnail of Multi-objective optimization of process parameters of Fused Deposition Modeling (FDM) for printing Polylactic Acid (PLA) polymer components

Materials Today: Proceedings, 2021

Abstract Additive Manufacturing (AM) which is also known as 3D printing is radical approach of ma... more Abstract Additive Manufacturing (AM) which is also known as 3D printing is radical approach of manufacturing highly accurate components with polymers, metals and composites. It builds products by adding material layer by layer. Due to its capability of producing any complex shape with help of a 3D CAD model, it is gaining huge importance and significance in industrial sector. It has applications in manufacturing, medical, automobile, aerospace, construction, product development and many other sectors. Fused Deposition Modeling (FDM) is one of the widely used such AM process to build polymer components of simple to intricate shapes. To enhance the performance of FDM, it is very essential to have a proper set of input parameters like the layer thickness, infill %, infill pattern, temperature, printing speed and other parameters. In this investigation Multi-objective optimization paradigm to optimize process parameters of FDM for printing of Polylactic Acid (PLA) components is presented. Infill patterns, infill %, printing speed and layer thickness are the parameters used for investigation. Infill pattern is the process parameter of main focus in this investigation. Surface roughness, Printing time and Filament length consumed are responses used for analysis. Triangles pattern, infill % of 70%, printing speed of 100 mm/h and layer thickness of 0.2 mm are the optimum parameters for this investigation.

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Research paper thumbnail of An ISM approach for lean implementation barriers in labour intensive Indian ceramic SMEs

International Journal of Productivity and Quality Management, 2022

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Research paper thumbnail of Analysis of lean implementation barriers in Indian ceramic industries: modeling through an interpretive ranking process

International Journal of Productivity and Performance Management, May 5, 2021

PurposeThe purpose of this paper is to identify and prioritize the lean implementation (LI) barri... more PurposeThe purpose of this paper is to identify and prioritize the lean implementation (LI) barriers in the context of labor intensive Indian ceramic industries through a statistically reliable and validated model.Design/methodology/approachIn this study, LI barriers are identified through a comprehensive review of relevant literature and discussions held with academicians/practitioners. Identified barriers, thereafter, are evaluated with Cronbach's alpha values using a statistical tool. The interpretive ranking process (IRP) methodology is applied for ranking of the barriers with reference to the measurable performance indicators.FindingsThe study identified highly relevant barriers of Indian ceramic industries. Further, these barriers were compared with performance measures through a cross-interaction matrix developed in the IRP model. The model highlights the analysis of dominance relationship of different barriers. Moreover, the result shows that top management commitment and leadership is at the top of the model, followed by lack of training opportunity and skills, and resistance to change and adopt innovations indicating their strongest driving power in LI.Practical implicationsThis model may enable the firms to understand the LI barriers and come up with sensible implementation program. Further, the correlation results among the barriers will provide insights in mitigating the hurdles of lean manufacturing (LM) implementation in the industries.Originality/valueThis study empirically develops a model through the IRP for the barriers in LM implementation. From the reported literature, it appears that the application of IRP is very rare in ceramic industries in India. The analysis and prioritization of LI barriers may help practitioners to plan strategies to implement lean in a selected domain.

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Research paper thumbnail of Development and validation of DMAIC based framework for process improvement: a case study of Indian manufacturing organization

International Journal of Quality & Reliability Management, Feb 12, 2021

PurposeThe purpose of this paper is to develop and validate an extended Define-Measure-Analyze-Im... more PurposeThe purpose of this paper is to develop and validate an extended Define-Measure-Analyze-Improve-Control (DMAIC) based framework through a case study of an Indian fasteners manufacturing organization.Design/methodology/approachResearch methodology is established on the development of the existing DMAIC framework through an extensive literature review of 25 LSS/DMAIC based frameworks and discussions held with practitioners. This paper also depicts a case study of Indian manufacturing organization for validation of the developed framework.FindingsThe study proposed an extended DMAIC based framework for effective implementation of Lean Six Sigma (LSS) methodology. Furthermore, this framework has been implemented successfully in the Indian manufacturing organization and showed encouraging results. The in-house rejections of Nut Cylinder Head (NCH) were brought down to 966 from 2910 PPM and sigma level was improved by 0.40. The case organization has achieved significant improvements in the process capability, customer satisfaction, and cost savings of US$ 0.25 million in one financial year. Intangible benefits like improvements in employee's morale, communication, housekeeping and decision-making capabilities were also observed significantly.Practical implicationsThe proposed DMAIC based framework has been implemented successfully in the Indian case organization, and the results will enable the policymakers, specifically practitioners, to strategically leverage the resources for successful implementation of the LSS in healthcare, aerospace, service sectors etc.Originality/valueThis research develops a DMAIC based framework which can be used to implement LSS effectively in different industries. Moreover, the pre (initial/introduction) and post (validation/verification) implementation phase provides the top management, an edge to think strategically into broader improvement areas.

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Research paper thumbnail of Lean production performance indicators for medium and small manufacturing enterprises: modelling through analytical hierarchy process

International Journal of Systems Assurance Engineering and Management, Sep 22, 2021

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Research paper thumbnail of An Analytic Hierarchy Process (AHP) Approach for Prioritizing the Industries 4.0 Technologies (I4.0T)

Evergreen

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Research paper thumbnail of Mechanical and Corrosion Behavior of Al 5083 Alloy Processed by Multi Directional Forging at Cryogenic Temperature

Optimization of Industrial Systems

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Research paper thumbnail of Productivity and quality improvement through value stream mapping: a case study of Indian automotive industry

International Journal of Productivity and Quality Management, 2012

Value stream mapping (VSM) is one of the most important lean manufacturing tools to identify and ... more Value stream mapping (VSM) is one of the most important lean manufacturing tools to identify and reduce all type of wastes in a systematic way. This paper demonstrates the effect of VSM implementation on cost of poor quality, in-process rejections, percentage value addition, lead time, work in process inventory, distance travelled by components and percentage scrap through a case study of VSM implementation in an Indian automotive industry. The results of the study show that the productivity and quality of a company can be improved by implementation of VSM.

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Research paper thumbnail of Fuzzy AHP approach for barriers to implement LSS in the context of Industry 4.0

International Journal of Productivity and Performance Management

PurposeThe purpose of the present work is identification and prioritization of barriers to Lean S... more PurposeThe purpose of the present work is identification and prioritization of barriers to Lean Six Sigma (LSS) implementation in Indian manufacturing industries in the context of Industry 4.0 (I4.0) to surmount the impediments in the path of successful implementation.Design/methodology/approachIn total, 27 barriers identified through critical review of literature and expert's opinion are evaluated with Cronbach's alpha values including item-total correlations or corrected item-total correlations (CITC) using statistical tool. Finally, 20 barriers were analyzed and ranked employing Fuzzy Analytical Hierarchy Process (FAHP).FindingsThe study depicts that “Lack of leadership, advisory and monitoring,” “Lack of clarity about economic benefits” and “Lack of integration of LSS with smart tools/I4.0” are potential barriers to drive the path for proper implementation of LSS in Industry 4.0 with due consideration of its technologies in Indian manufacturing industries.Practical impli...

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Research paper thumbnail of Lean Manufacturing Implementation in Ceramic Industry: A Case Study

Sustainable Production, Life Cycle Engineering and Management, 2020

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Research paper thumbnail of Multi-objective optimisation and analysis of fused deposition modelling parameters: best infill patterns

International Journal of Six Sigma and Competitive Advantage

Bookmarks Related papers MentionsView impact

Research paper thumbnail of An ISM approach for lean implementation barriers in labour intensive Indian ceramic SMEs

International Journal of Productivity and Quality Management

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Machine Vision in Industry 4.0

Machine Vision for Industry 4.0, 2022

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Research paper thumbnail of Exploratory study on design principles and key technologies of Industry 4.0

International Journal of Advanced Operations Management, 2021

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Research paper thumbnail of Critical success factors of lean manufacturing for Indian ceramic industries: Modelling through interpretive ranking process

Indian Journal of Engineering and Materials Sciences, 2021

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Machine Vision in Industry 4.0

CRC Press eBooks, Feb 23, 2022

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Analysis of Barriers to Industry 4.0 adoption in Manufacturing Organizations: an ISM Approach

Procedia CIRP, 2021

Abstract Industry 4.0 has enabled technological integration of cyber physical systems and interne... more Abstract Industry 4.0 has enabled technological integration of cyber physical systems and internet based communication in manufacturing value creation processes. As of now, many people use it as a collective term for advanced technologies, i.e. advanced robotics, artificial intelligence, machine learning, big data analytics, cloud computing, smart sensors, internet of things, augmented reality, etc. This substantially improves flexibility, quality, productivity, cost, and customer satisfaction by transforming existing centralized manufacturing systems towards digital and decentralized one. Despite having potential benefits of industry 4.0, the organizations are facing typical obstacles and challenges in adopting new technologies and successful implementation in their business models. This paper aims to identify potential barriers which may hinder the implementation of industry 4.0 in manufacturing organizations. The identified barriers, through comprehensive literature review and on the basis of opinions collected from industry experts, are: poor value-chain integration, cyber-security challenges, uncertainty about economic benefits, lack of adequate skills in workforce, high investment requirements, lack of infrastructure, jobs disruptions, challenges in data management and data quality, lack of secure standards and norms, and resistance to change. Interpretive Structural Modeling (ISM) is used to establish relationships among these barriers to develop a hierarchical model and MICMAC analysis for further classification of identified barriers for better understanding. An analysis of driving and dependence of the barriers may help in clear understanding of these for successful implementation of Industry 4.0 practices in the organizations.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Multi-objective optimisation and analysis of fused deposition modelling parameters: best infill patterns

International Journal of Six Sigma and Competitive Advantage, 2022

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Lean Manufacturing Implementation in Ceramic Industry: A Case Study

Sustainable production, life cycle engineering and management, 2020

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Reduction of Terminal Rejections and Failure Cost through Kaizen at Shop Floor of a Wire Harness Manufacturing Company

Lecture notes in mechanical engineering, Aug 20, 2020

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Multi-objective optimization of process parameters of Fused Deposition Modeling (FDM) for printing Polylactic Acid (PLA) polymer components

Materials Today: Proceedings, 2021

Abstract Additive Manufacturing (AM) which is also known as 3D printing is radical approach of ma... more Abstract Additive Manufacturing (AM) which is also known as 3D printing is radical approach of manufacturing highly accurate components with polymers, metals and composites. It builds products by adding material layer by layer. Due to its capability of producing any complex shape with help of a 3D CAD model, it is gaining huge importance and significance in industrial sector. It has applications in manufacturing, medical, automobile, aerospace, construction, product development and many other sectors. Fused Deposition Modeling (FDM) is one of the widely used such AM process to build polymer components of simple to intricate shapes. To enhance the performance of FDM, it is very essential to have a proper set of input parameters like the layer thickness, infill %, infill pattern, temperature, printing speed and other parameters. In this investigation Multi-objective optimization paradigm to optimize process parameters of FDM for printing of Polylactic Acid (PLA) components is presented. Infill patterns, infill %, printing speed and layer thickness are the parameters used for investigation. Infill pattern is the process parameter of main focus in this investigation. Surface roughness, Printing time and Filament length consumed are responses used for analysis. Triangles pattern, infill % of 70%, printing speed of 100 mm/h and layer thickness of 0.2 mm are the optimum parameters for this investigation.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of An ISM approach for lean implementation barriers in labour intensive Indian ceramic SMEs

International Journal of Productivity and Quality Management, 2022

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Analysis of lean implementation barriers in Indian ceramic industries: modeling through an interpretive ranking process

International Journal of Productivity and Performance Management, May 5, 2021

PurposeThe purpose of this paper is to identify and prioritize the lean implementation (LI) barri... more PurposeThe purpose of this paper is to identify and prioritize the lean implementation (LI) barriers in the context of labor intensive Indian ceramic industries through a statistically reliable and validated model.Design/methodology/approachIn this study, LI barriers are identified through a comprehensive review of relevant literature and discussions held with academicians/practitioners. Identified barriers, thereafter, are evaluated with Cronbach's alpha values using a statistical tool. The interpretive ranking process (IRP) methodology is applied for ranking of the barriers with reference to the measurable performance indicators.FindingsThe study identified highly relevant barriers of Indian ceramic industries. Further, these barriers were compared with performance measures through a cross-interaction matrix developed in the IRP model. The model highlights the analysis of dominance relationship of different barriers. Moreover, the result shows that top management commitment and leadership is at the top of the model, followed by lack of training opportunity and skills, and resistance to change and adopt innovations indicating their strongest driving power in LI.Practical implicationsThis model may enable the firms to understand the LI barriers and come up with sensible implementation program. Further, the correlation results among the barriers will provide insights in mitigating the hurdles of lean manufacturing (LM) implementation in the industries.Originality/valueThis study empirically develops a model through the IRP for the barriers in LM implementation. From the reported literature, it appears that the application of IRP is very rare in ceramic industries in India. The analysis and prioritization of LI barriers may help practitioners to plan strategies to implement lean in a selected domain.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Development and validation of DMAIC based framework for process improvement: a case study of Indian manufacturing organization

International Journal of Quality & Reliability Management, Feb 12, 2021

PurposeThe purpose of this paper is to develop and validate an extended Define-Measure-Analyze-Im... more PurposeThe purpose of this paper is to develop and validate an extended Define-Measure-Analyze-Improve-Control (DMAIC) based framework through a case study of an Indian fasteners manufacturing organization.Design/methodology/approachResearch methodology is established on the development of the existing DMAIC framework through an extensive literature review of 25 LSS/DMAIC based frameworks and discussions held with practitioners. This paper also depicts a case study of Indian manufacturing organization for validation of the developed framework.FindingsThe study proposed an extended DMAIC based framework for effective implementation of Lean Six Sigma (LSS) methodology. Furthermore, this framework has been implemented successfully in the Indian manufacturing organization and showed encouraging results. The in-house rejections of Nut Cylinder Head (NCH) were brought down to 966 from 2910 PPM and sigma level was improved by 0.40. The case organization has achieved significant improvements in the process capability, customer satisfaction, and cost savings of US$ 0.25 million in one financial year. Intangible benefits like improvements in employee's morale, communication, housekeeping and decision-making capabilities were also observed significantly.Practical implicationsThe proposed DMAIC based framework has been implemented successfully in the Indian case organization, and the results will enable the policymakers, specifically practitioners, to strategically leverage the resources for successful implementation of the LSS in healthcare, aerospace, service sectors etc.Originality/valueThis research develops a DMAIC based framework which can be used to implement LSS effectively in different industries. Moreover, the pre (initial/introduction) and post (validation/verification) implementation phase provides the top management, an edge to think strategically into broader improvement areas.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Lean production performance indicators for medium and small manufacturing enterprises: modelling through analytical hierarchy process

International Journal of Systems Assurance Engineering and Management, Sep 22, 2021

Bookmarks Related papers MentionsView impact

Research paper thumbnail of An Analytic Hierarchy Process (AHP) Approach for Prioritizing the Industries 4.0 Technologies (I4.0T)

Evergreen

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Mechanical and Corrosion Behavior of Al 5083 Alloy Processed by Multi Directional Forging at Cryogenic Temperature

Optimization of Industrial Systems

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Productivity and quality improvement through value stream mapping: a case study of Indian automotive industry

International Journal of Productivity and Quality Management, 2012

Value stream mapping (VSM) is one of the most important lean manufacturing tools to identify and ... more Value stream mapping (VSM) is one of the most important lean manufacturing tools to identify and reduce all type of wastes in a systematic way. This paper demonstrates the effect of VSM implementation on cost of poor quality, in-process rejections, percentage value addition, lead time, work in process inventory, distance travelled by components and percentage scrap through a case study of VSM implementation in an Indian automotive industry. The results of the study show that the productivity and quality of a company can be improved by implementation of VSM.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Fuzzy AHP approach for barriers to implement LSS in the context of Industry 4.0

International Journal of Productivity and Performance Management

PurposeThe purpose of the present work is identification and prioritization of barriers to Lean S... more PurposeThe purpose of the present work is identification and prioritization of barriers to Lean Six Sigma (LSS) implementation in Indian manufacturing industries in the context of Industry 4.0 (I4.0) to surmount the impediments in the path of successful implementation.Design/methodology/approachIn total, 27 barriers identified through critical review of literature and expert's opinion are evaluated with Cronbach's alpha values including item-total correlations or corrected item-total correlations (CITC) using statistical tool. Finally, 20 barriers were analyzed and ranked employing Fuzzy Analytical Hierarchy Process (FAHP).FindingsThe study depicts that “Lack of leadership, advisory and monitoring,” “Lack of clarity about economic benefits” and “Lack of integration of LSS with smart tools/I4.0” are potential barriers to drive the path for proper implementation of LSS in Industry 4.0 with due consideration of its technologies in Indian manufacturing industries.Practical impli...

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Research paper thumbnail of Lean Manufacturing Implementation in Ceramic Industry: A Case Study

Sustainable Production, Life Cycle Engineering and Management, 2020

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Multi-objective optimisation and analysis of fused deposition modelling parameters: best infill patterns

International Journal of Six Sigma and Competitive Advantage

Bookmarks Related papers MentionsView impact

Research paper thumbnail of An ISM approach for lean implementation barriers in labour intensive Indian ceramic SMEs

International Journal of Productivity and Quality Management

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Machine Vision in Industry 4.0

Machine Vision for Industry 4.0, 2022

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Exploratory study on design principles and key technologies of Industry 4.0

International Journal of Advanced Operations Management, 2021

Bookmarks Related papers MentionsView impact