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Rajeev Agrawal

Bio: Rajeev Agrawal is an academic researcher from Malaviya National Institute of Technology, Jaipur. The author has contributed to research in topics: Sustainability & Manufacturing. The author has an hindex of 11, co-authored 50 publications receiving 249 citations. Previous affiliations of Rajeev Agrawal include Birla Institute of Technology, Mesra & Birla Institute of Technology and Science.

Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors used a systematic literature review approach to find out the current research progress and future research potential of Industry 4.0 technologies to achieve manufacturing sustainability, which will be valuable for industry and academia in order to achieve industry sustainability with Industry 4-0 technologies.
Abstract: Recent developments in manufacturing processes and automation have led to the new industrial revolution termed “Industry 4.0”. Industry 4.0 can be considered as a broad domain which includes: data management, manufacturing competitiveness, production processes and efficiency. The term Industry 4.0 includes a variety of key enabling technologies i.e., cyber physical systems, Internet of Things, artificial intelligence, big data analytics and digital twins which can be considered as the major contributors to automated and digital manufacturing environments. Sustainability can be considered as the core of business strategy which is highlighted in the United Nations (UN) Sustainability 2030 agenda and includes smart manufacturing, energy efficient buildings and low-impact industrialization. Industry 4.0 technologies help to achieve sustainability in business practices. However, very limited studies reported about the extensive reviews on these two research areas. This study uses a systematic literature review approach to find out the current research progress and future research potential of Industry 4.0 technologies to achieve manufacturing sustainability. The role and impact of different Industry 4.0 technologies for manufacturing sustainability is discussed in detail. The findings of this study provide new research scopes and future research directions in different research areas of Industry 4.0 which will be valuable for industry and academia in order to achieve manufacturing sustainability with Industry 4.0 technologies.

106 citations

Journal ArticleDOI
TL;DR: In this article, a case study is done in one of the MSMEs of India which is working on the adoption of Industry 4.0 practices in emerging economies, and the results revealed that supply chain and environment related enablers are the main cause of barriers to sustainability in Industry 4.,0.

70 citations

Journal ArticleDOI
TL;DR: In the last few decades, man has become more innovative in discovering new materials to make his life more sustainable as mentioned in this paper, and copper metal matrix composite is the most promising material for many enginee...
Abstract: In the last few decades, man has become more innovative in discovering new materials to make his life more sustainable. Copper metal matrix composite is the most promising material for many enginee...

67 citations

Journal ArticleDOI
TL;DR: In this article, the authors present the assessment of sustainable manufacturing practices, and prioritisation of barriers, drivers, and indicators have become complex due to the involvement of existing existing stakeholders.
Abstract: At present sustainable development, assessment of sustainable manufacturing practices, and prioritisation of barriers, drivers, and indicators have become complex due to the involvement of existing...

60 citations

Journal ArticleDOI
TL;DR: In this article, a study on preparation of copper-Graphite-Silicon-Carbide hybrid metal matrix composite by stir casting technique is presented. And it is spontaneously expected that present composite will be highly beneficial in structural and mechanical applications.

56 citations


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Posted Content
TL;DR: In this article, the authors uncover institutional voids as the source of market exclusion and identify two sets of activities: redefining market architecture and legitimizing new actors as critical for building "inclusive" markets.
Abstract: Much effort goes into building markets as a tool for economic and social development, often overlooking that in too many places social exclusion and poverty prevent many, especially women, from participating in and accessing markets. Building on data from rural Bangladesh and analyzing the work of a prominent intermediary organization, we uncover institutional voids as the source of market exclusion and identify two sets of activities – redefining market architecture and legitimating new actors – as critical for building ‘inclusive' markets. We expose voids as ‘analytical spaces' and illustrate how they result from conflict and contradiction among institutional ‘bits and pieces' from local political, community, and religious spheres. Our findings put forward a perspective on market building that highlights the ‘on the ground' dynamics and attends to the ‘institutions at play', to their consequences, and to a more diverse set of ‘inhabitants' of institutions.

739 citations

Journal ArticleDOI
TL;DR: An up-to-date review of the CAPPResearch works, a critical analysis of journals that publish CAPP research works, and an understanding of the future direction in the field are provided.
Abstract: For the past three decades, computer-aided process planning (CAPP) has attracted a large amount of research interest. A huge volume of literature has been published on this subject. Today, CAPP research faces new challenges owing to the dynamic markets and business globalisation. Thus, there is an urgent need to ascertain the current status and identify future trends of CAPP. Covering articles published on the subjects of CAPP in the past 10 years or so, this article aims to provide an up-to-date review of the CAPP research works, a critical analysis of journals that publish CAPP research works, and an understanding of the future direction in the field. First, general information is provided on CAPP. The past reviews are summarised. Discussions about the recent CAPP research are presented in a number of categories, i.e. feature-based technologies, knowledge-based systems, artificial neural networks, genetic algorithms, fuzzy set theory and fuzzy logic, Petri nets, agent-based technology, Internet-based technology, STEP-compliant CAPP and other emerging technologies. Research on some specific aspects of CAPP is also provided. Discussions and analysis of the methods are then presented based on the data gathered from the Elsevier's Scopus abstract and citation database. The concepts of 'Subject Strength' of a journal and 'technology impact factor' are introduced and used for discussions based on the publication data. The former is used to gauge the level of focus of a journal on a particular research subject/domain, whereas the latter is used to assess the level of impact of a particular technology, in terms of citation counts. Finally, a discussion on the future development is presented.

304 citations

Journal ArticleDOI
TL;DR: The paper aims at presenting the development of flexible JSS and a consolidated survey of various techniques that have been employed since 1990 for problem resolution.

293 citations

Journal ArticleDOI
TL;DR: In this article, an Internet-and Web-based service-oriented system for machine availability monitoring and process planning is proposed for real-time machine availability and execution status monitoring during metal cutting operations, both locally or remotely.
Abstract: Cloud manufacturing as a trend of future manufacturing would provide cost-effective, flexible and scalable solutions to companies by sharing manufacturing resources as services with lower support and maintenance costs. Targeting the Cloud manufacturing, the objective of this research is to develop an Internet- and Web-based service-oriented system for machine availability monitoring and process planning. Particularly, this paper proposes a tiered system architecture and introduces IEC 61499 function blocks for prototype implementation. By connecting to a Wise-ShopFloor framework, it enables real-time machine availability and execution status monitoring during metal-cutting operations, both locally or remotely. The closed-loop information flow makes process planning and monitoring feasible services for the Cloud manufacturing.

208 citations

Journal ArticleDOI
TL;DR: Experimental results show that IGWO obtains the better convergence velocity and optimization accuracy of GWO.
Abstract: The grey wolf optimizer (GWO) is a novel type of swarm intelligence optimization algorithm. An improved grey wolf optimizer (IGWO) with evolution and elimination mechanism was proposed so as to achieve the proper compromise between exploration and exploitation, further accelerate the convergence and increase the optimization accuracy of GWO. The biological evolution and the “survival of the fittest” (SOF) principle of biological updating of nature are added to the basic wolf algorithm. The differential evolution (DE) is adopted as the evolutionary pattern of wolves. The wolf pack is updated according to the SOF principle so as to make the algorithm not fall into the local optimum. That is, after each iteration of the algorithm sort the fitness value that corresponds to each wolf by ascending order, and then eliminate R wolves with worst fitness value, meanwhile randomly generate wolves equal to the number of eliminated wolves. Finally, 12 typical benchmark functions are used to carry out simulation experiments with GWO with differential evolution (DGWO), GWO algorithm with SOF mechanism (SGWO), IGWO, DE algorithm, particle swarm algorithm (PSO), artificial bee colony (ABC) algorithm and cuckoo search (CS) algorithm. Experimental results show that IGWO obtains the better convergence velocity and optimization accuracy.

111 citations