Papers by Jaiprakash Bhamu
Applied Mechanics and Materials, 2013
In this paper, a paraffin heat storage ball whose diameter is 100mm is the research object. Two m... more In this paper, a paraffin heat storage ball whose diameter is 100mm is the research object. Two mathematical models of paraffin melting process are established respectively when the natural convection of liquid phase of paraffin is considered and ignored. The melting process of paraffin heat storage ball which initial temperature is 290K is simulated by using the solidification/melting model of FLUENT. Through analyzing the temperature distribution of the ball and proportion of solid-liquid phase in the ball in the melting process at a certain time, studying the time history of the proportion of liquid phase in the ball and the time history of the average temperature of the paraffin, we can find that the natural convection of liquid phase of paraffin can not be ignored in the melting process of paraffin heat storage ball whose diameter is 100mm.
Indian Journal of Engineering and Materials Sciences, 2021
In India, majority of manufacturing organizations comes under small and medium size enterprises (... more In India, majority of manufacturing organizations comes under small and medium size enterprises (SMEs) that are recognized as backbone for the economy by contributing a significant amount in gross domestic product (GDP). In the competitive business environment, SMEs are trying to enhance the value of their production and services on decimating the non-productive activities from their manufacturing systems. It has been reported in previous explorations that lean manufacturing (LM) is an approach to recognize and eliminate different forms of waste from the production process, and improve the business performance. Therefore, SMEs has to follow lean manufacturing to ensure sustainable profitability. To optimise the LM implementation benefits, organization/s must see the different success factors thoroughly. So far, critical success factors (CSFs) of lean manufacturing in labour intensive SMEs were not explored systematically. In this study, CSFs for implementing lean are extracted from literature and were analysedand validated after discussion held with relevant industrial experts/academicians. Interpretive ranking process (IRP) technique was employed to observe the relationship amongst the CSFs. To check the interpretations and pair-wise comparison, a dominance system graph for each performance measures was developed. The results revealed that regular training and education for workers, proper selection of lean tools/techniques and low scrap/rework/elimination of waste are the most CSFs for implementing lean in Indian ceramic SME sector.
CRC Press eBooks, Feb 23, 2022
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.
International Journal of Six Sigma and Competitive Advantage, 2022
Sustainable production, life cycle engineering and management, 2020
This paper aims at proving that lean manufacturing can be successfully implemented in a semi-proc... more This paper aims at proving that lean manufacturing can be successfully implemented in a semi-process industry, to reduce defects, waste, waiting time, processing time, inventory, and space. A case study was performed on a medium sized ceramic industry which resulted in waiting time reduction by 32%, processing time reduction by 1.02%, reduction in inventory by 36%, defects reduction (average) by 40.51%, reduction in manpower by 6.85% and cost saving of US $ 0.61 million in one financial year. It might represent new opportunities for lean practitioners/researchers who are interested in substantiating their lean endeavors in semi-process industries.
Lecture notes in mechanical engineering, Aug 20, 2020
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.
International Journal of Productivity and Quality Management, 2022
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.
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.
International Journal of Systems Assurance Engineering and Management, Sep 22, 2021
Optimization of Industrial Systems
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.
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...
Sustainable Production, Life Cycle Engineering and Management, 2020
This paper aims at proving that lean manufacturing can be successfully implemented in a semi-proc... more This paper aims at proving that lean manufacturing can be successfully implemented in a semi-process industry, to reduce defects, waste, waiting time, processing time, inventory, and space. A case study was performed on a medium sized ceramic industry which resulted in waiting time reduction by 32%, processing time reduction by 1.02%, reduction in inventory by 36%, defects reduction (average) by 40.51%, reduction in manpower by 6.85% and cost saving of US $ 0.61 million in one financial year. It might represent new opportunities for lean practitioners/researchers who are interested in substantiating their lean endeavors in semi-process industries.
International Journal of Six Sigma and Competitive Advantage
International Journal of Productivity and Quality Management
Machine Vision for Industry 4.0, 2022
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Papers by Jaiprakash Bhamu