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Saurabh Vaidya

Bio: Saurabh Vaidya is an academic researcher from Maharashtra Institute of Technology. The author has contributed to research in topics: Manufacturing & Cyber-physical system. The author has an hindex of 1, co-authored 2 publications receiving 472 citations.

Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors provide an overview of Industry 4.0 with its applications and identify the challenges and issues occurring with implementation of Industry4.0 and to study the new trends and streams related to Industry 4,0.

828 citations

Book ChapterDOI
01 Jan 2020
TL;DR: Application of DMAIC phases helped in creating new inspection checklists for the effective preventive maintenance of the carbon handling and transporting system of banburry machine by reducing the carbon breakdowns which occur repetitively.
Abstract: The research work done for improvement in carbon weighing compliance of mixing system of banburry machine is presented in this paper. As the carbon is one of the essential raw agents used in process of tire manufacturing. The carbon handling and transporting system used in banburry machine mixing process is one of the critical processes. Carbon weighing compliance is also known as efficiency of carbon usage. Plant optimization pillars are used for process improvements, new product developments, reducing breakdowns and improving product quality. This research work is mainly focused on the application of DMAIC phases (Define, Measure, Analyze, Improve, Control) along with terotechnology to improve the value of carbon weighing compliance of mixing system by reducing the carbon breakdowns which occur repetitively. The top five carbon breakdowns were identified by analyzing the data of carbon breakdowns of year 2017 thoroughly. Application of DMAIC phases helped in creating new inspection checklists for the effective preventive maintenance of the carbon handling and transporting system of banburry machine. The average value of carbon weighing compliance is increased by 7.5542% (from 89.35 to 96.91%) and the reduction in average downtime is 16.92% (from 490.33 to 407.33 min).

1 citations

Journal ArticleDOI
TL;DR: In this paper , the authors evaluate the effectiveness of online platforms in building or funding small businesses and individuals and propose methods, means, and techniques to visualise, maintain, and create a better future.
Abstract: Abstract: The main purpose of this research paper is to evaluate the effectiveness of online platforms in building or funding small businesses and individuals. This is one of the biggest messes in each and every part of the world, not only in India. Finding every day labourers, maids, and cleaners for everything from household work to industry maintenance is a major dilemma that could be resolved by using websites, applications, and different online portals. Research on such topics will improve the work culture and efforts of such people and increase the number of job opportunities in this industry. Smart phones have now become a necessity for every person, as he or she can access the portal through the mobile device. No such platform is created to reach out to the workers or for the workers to reach out to the people to complete a particular task. In this research paper, I propose methods, means, and techniques to visualise, maintain, and create a better future. Related content, news, information, and traffic on the webpage will be monitored for their respective areas. The advantage of our portal will be that it is easy to use and that each and every person will be able to use the functions properly while keeping their native language option alongside English. Productivity and trust play an important role in making decisions that make lives easier. Not only in theoretical analysis but also in many surveys and experiments are there precise algorithms for the models made. Case studies regarding the same will give us a clear idea for developing and maintaining these online platforms. (Experiments and surveys have yet to be conducted.)

Cited by
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Journal ArticleDOI
TL;DR: This exhaustive literature review provides a concrete definition of Industry 4.0 and defines its six design principles such as interoperability, virtualization, local, real-time talent, service orientation and modularity.
Abstract: Manufacturing industry profoundly impact economic and societal progress. As being a commonly accepted term for research centers and universities, the Industry 4.0 initiative has received a splendid attention of the business and research community. Although the idea is not new and was on the agenda of academic research in many years with different perceptions, the term “Industry 4.0” is just launched and well accepted to some extend not only in academic life but also in the industrial society as well. While academic research focuses on understanding and defining the concept and trying to develop related systems, business models and respective methodologies, industry, on the other hand, focuses its attention on the change of industrial machine suits and intelligent products as well as potential customers on this progress. It is therefore important for the companies to primarily understand the features and content of the Industry 4.0 for potential transformation from machine dominant manufacturing to digital manufacturing. In order to achieve a successful transformation, they should clearly review their positions and respective potentials against basic requirements set forward for Industry 4.0 standard. This will allow them to generate a well-defined road map. There has been several approaches and discussions going on along this line, a several road maps are already proposed. Some of those are reviewed in this paper. However, the literature clearly indicates the lack of respective assessment methodologies. Since the implementation and applications of related theorems and definitions outlined for the 4th industrial revolution is not mature enough for most of the reel life implementations, a systematic approach for making respective assessments and evaluations seems to be urgently required for those who are intending to speed this transformation up. It is now main responsibility of the research community to developed technological infrastructure with physical systems, management models, business models as well as some well-defined Industry 4.0 scenarios in order to make the life for the practitioners easy. It is estimated by the experts that the Industry 4.0 and related progress along this line will have an enormous effect on social life. As outlined in the introduction, some social transformation is also expected. It is assumed that the robots will be more dominant in manufacturing, implanted technologies, cooperating and coordinating machines, self-decision-making systems, autonom problem solvers, learning machines, 3D printing etc. will dominate the production process. Wearable internet, big data analysis, sensor based life, smart city implementations or similar applications will be the main concern of the community. This social transformation will naturally trigger the manufacturing society to improve their manufacturing suits to cope with the customer requirements and sustain competitive advantage. A summary of the potential progress along this line is reviewed in introduction of the paper. It is so obvious that the future manufacturing systems will have a different vision composed of products, intelligence, communications and information network. This will bring about new business models to be dominant in industrial life. Another important issue to take into account is that the time span of this so-called revolution will be so short triggering a continues transformation process to yield some new industrial areas to emerge. This clearly puts a big pressure on manufacturers to learn, understand, design and implement the transformation process. Since the main motivation for finding the best way to follow this transformation, a comprehensive literature review will generate a remarkable support. This paper presents such a review for highlighting the progress and aims to help improve the awareness on the best experiences. It is intended to provide a clear idea for those wishing to generate a road map for digitizing the respective manufacturing suits. By presenting this review it is also intended to provide a hands-on library of Industry 4.0 to both academics as well as industrial practitioners. The top 100 headings, abstracts and key words (i.e. a total of 619 publications of any kind) for each search term were independently analyzed in order to ensure the reliability of the review process. Note that, this exhaustive literature review provides a concrete definition of Industry 4.0 and defines its six design principles such as interoperability, virtualization, local, real-time talent, service orientation and modularity. It seems that these principles have taken the attention of the scientists to carry out more variety of research on the subject and to develop implementable and appropriate scenarios. A comprehensive taxonomy of Industry 4.0 can also be developed through analyzing the results of this review.

1,011 citations

Journal ArticleDOI
TL;DR: The findings suggest significant direct and indirect effects of I4 T on SOP and confirm the presence of LMP as a strong mediating variable.
Abstract: The current literature claims the direct effects of industry 4.0 technologies (I4 T) on lean manufacturing practices (LMP) and sustainable organisational performance (SOP). LMP are also found to ha...

303 citations

Journal ArticleDOI
TL;DR: This study approaches the issue through an analysis of almost 100 definitions of Industry 4.0 and related concepts, broken down into its underlying technological and non-technological definitional elements.

301 citations

Journal ArticleDOI
TL;DR: In this article, a systematic literature review aims to provide an overview of the research to date related to influences of the Industry 4.0 Revolution on human capital development and consumer behavior.
Abstract: Automation and digitalization, as long-term evolutionary processes, cause significant effects, such as the transformation of occupations and job profiles, changes to employment forms, and a more significant role for the platform economy, generating challenges for social policy. This systematic literature review aims to provide an overview of the research to date related to influences of the Industry 4.0 Revolution on human capital development and consumer behavior. A search on the Web of Science identified 160 papers that met the inclusion criteria. The major objectives aimed to identify: the main types of influences of the Industry 4.0 Revolution on human capital development and consumer behavior; the main opportunities and challenges for new directions in education associated with shifting the work environment; and the drivers for human capital development and consumer behavior through the lenses of the Industry 4.0 Revolution. The results revealed some key aspects for the development of human capital: information, new jobs, the Internet, technology, training, education, new skills, automation, communication, innovativeness, professionals, productivity, artificial intelligence, digitalization, e-recruitment, and the Internet of Things, as well as the main drivers of consumer behavior: information, e-commerce, digitalization, the Internet of Things, e-distribution, technology, digitalization, automation, personalized, performance, artificial intelligence, behavior intention, e-shopping, and data mining.

256 citations

Journal ArticleDOI
TL;DR: In this paper, the authors identified a set of challenges (framework) for implementing Industry 4.0 in manufacturing industries and evaluated them using a novel multi-criteria decision-making method named Best-Worst method (BWM).

242 citations