Manufacturing is recognized as one of the most critical sectors concerning the socio-economic development of any nation (developed or developing). In a recent decade, there has been a greater push towards sustainability initiatives after the launch of the 2030 Agenda for Sustainable Development in 2015. The most often referred definition of sustainability comes from the UN World Commission on Environment and Development: “sustainable development is a development that meets the needs of the present without compromising the ability of future generations to meet their own needs.” Sustainability builds its foundation on the fact that resources are limited, and hence they should be used conservatively and rationally by considering long term consequences on the environment, society, and economy. As a result, several studies have emerged that focuses on cleaner production through sustainable manufacturing. This has also led to the emergence of circular economy concept that is defined by three R’s: reducing materials and waste, reusing products, and recycling materials. Circular Economy (CE) is introduced as “an industrial economy that is restorative or regenerative by intention and design” (Ellen MacArthur Foundation (EMF), 2013: 14). Hence, the goal of CE is to design products and services efficiently focusing on reusability/reutilization with reduced environmental impact and waste of resources. So, products and services are traded in closed loops or cycles. From the practical point of view, circular economy and sustainability are closely coupled concepts that feed on each other. However, unlike the economic benefited manufacturing, sustainable manufacturing has less successful models due to the challenges that exist in its implementation in manufacturing. This mainly involves human biases, uncertainties, lack of transparency and trust. This is further challenged by customers who being more aware of the sustainability agenda are demanding more product transparency from brands and are inclined to buy products that have a clearly defined sustainability agenda. To address these challenges, recent studies are trying to integrate the blockchain technology with sustainability and circular economy aligned with the UN sustainable development goals (SDGs).
In the age when disruptive technologies of Industry 4.0 phenomenon are transforming the way on how operations are planned, managed and controlled, blockchain appears as one of the main technologies capable to generate significant improvements on the performance of supply chains. Blockchain technology can be applied on multiple fronts and have wide-ranging benefits to the circular economy and sustainability initiatives. Blockchain can change the way business transactions take place. Organizations can take advantage of emerging technologies such as blockchain to improve the tracking and tracing of products beyond the point of sale and enable authentication, resale and material recovery. From a supply chain perspective, such visibility will help ensure efficient transactions, real-time transparency, build trust, while promoting food safety, efficient recalls, the elimination of counterfeits, and the assurance of ethical trading partners. Sustainability gains in the form of reduced environmental impact and better assurance of human rights and fair work practices seem to be promising outcomes of blockchain applications. By decentralizing and digitizing the adjudication of what is trustworthy, blockchain has the potential to empower broader communities of stakeholders and improve the slow, costly intermediation associated with our current models of environmental governance. Blockchain technology can facilitate various transactions and processes as a democratizing framework for a system of distributed networks and hence address a range of environmental sustainability challenges. With these advantages, the global industries are promoting the implementation of blockchain in manufacturing. However, the relationship between blockchain and the environment is complicated, as it is also the technology behind energy-hungry digital currencies. There have long been concerns over blockchain’s scalability due to its vast energy demands and relatively low transaction capacity. This demands further research to tease the benefit potential against the existing challenges.
This special issue, therefore, aims to explore the potential of integrating blockchain technology in the circular economy and sustainability initiatives. We welcome all empirical, conceptual, case study, simulation and modelling papers around the special issue theme. We will be also happy to receive systematic review/bibliometric analysis of literature if they address a novel area within the scope of this special issue.
Prospective authors are encouraged to get in touch with the guest editorial team to discuss their potential ideas.Topics of Interest The topics relevant to this special issue include but are not limited to:
Articles have to be prepared carefully according to the guide For Authors at the journal website; https://ijmems.in/forauthors.php, and to be submitted directly to one of the guest editor with cc to all other guest editors.
Authors should note that all articles submitted should be original and should not have been submitted anywhere else for consideration for publication. All articles will be reviewed in double blind review process as per the journal policy. More information can be found at the journal website at https://ijmems.in Or https://ijmems.in/ethicalissues.phpGuest Editors Dr. Rajeev Agrawal
Department of Mechanical Engineering, Malaviya National Institute of Technology, Jaipur (India)-302017.
a Bristol Business School, University of the West of England, Bristol, UK and b Faculty of Accounting, Ton Duc Thang University, Ho Chi Minh City, Vietnam. Email: Vikas.Kumar@uwe.ac.uk; Vikas.Kumar@tdtu.edu.vnAssist. Prof. Dr. Gul Tokdemir
Computer Engineering Department, Cankaya University, Ankara, Turkey. Email: email@example.comAssist. Prof. Gordana Zeba
Mechanical Engineering Faculty in Slavonski Brod, University of Slavonski Brod, Slavonski Brod, Croatia. Email: firstname.lastname@example.orgProf. Guilherme Francisco Frederico
School of Management, Federal University of Paraná - UFPR, Curitiba, Brazil. Email: email@example.comNote: There is NO EXTRA PAGE CHARGES for the articles accepted in this special issue.
|S. No.||Publication Year||Document Title||Authors||Volume||Issue||2016||2017||2018||2019||2020||Total|
|1.||2017||Modeling and characterizing software vulnerabilities||Bhatt N., Anand A., Yadavalli V.S.S., Kumar V.||2||4||0||0||0||8||4||12|
|2.||2016||Land use drivers of population dynamics in tasks of security management and risk assessment||Kopachevsky I., Kostyuchenko Y.V., Stoyka O.||1||1||1||2||6||2||1||12|
|3.||2016||Machine learning in big data||Wang L., Alexander C.A.||1||2||0||4||1||3||3||11|
|4.||2016||Additive manufacturing and big data||Wang L., Alexander C.A.||1||3||0||2||2||4||2||10|
|5.||2018||Utilization of Karnaugh maps in multi-value Qualitative Comparative Analysis||Rushdi A.M.A.||3||1||0||0||4||5||0||9|
|6.||2017||A genetic algorithm based hybrid approach for reliability-redundancy optimization problem of a series system with multiple-choice||Bhunia A.K., Duary A., Sahoo L.||2||3||0||0||0||8||1||9|
|7.||2017||Genetic algorithm based approach for reliability redundancy allocation problems in fuzzy environment||Sahoo L.||2||4||0||0||0||9||0||9|
|8.||2016||Predicting customer's satisfaction (dissatisfaction) using logistic regression||Anand A., Bansal G.||1||2||0||1||1||7||0||9|
|9.||2018||System reliability analysis based on Weibull distribution and hesitant fuzzy set||Kumar A., Ram M.||3||4||0||0||0||7||1||8|
|10.||2017||An overview of various importance measures of reliability system||Amrutkar K.P., Kamalja K.K.||2||3||0||0||1||5||2||8|
|11.||2017||Inventory modeling for deteriorating imperfect quality items with selling price dependent demand and shortage backordering under credit financing||Khanna A., Gautam P., Jaggi C.K.||2||2||0||2||2||2||2||8|
|12.||2018||Multi objective simulated annealing approach for facility layout design||Turgay S.||3||4||0||0||0||7||0||7|
|13.||2018||Metaheuristic approach of multi-objective optimization during EDM process||Bose G.K., Pain P.||3||3||0||0||1||6||0||7|
|14.||2017||Fabrication and mechanical testing of egg shell particles reinforced Al-Si composites||Anjali, Malik R., Bhandari S., Pant A., Saxena A., Seema, Kumar N., Chotrani N., Gunwant D., Sah P.L.||2||1||0||0||1||5||1||7|
|15.||2016||Stochastic biometric system modelling with rework strategy||Ram M., Manglik M.||1||1||1||0||2||4||0||7|
|16.||2016||Reliability comparative evaluation of active redundancy vs. standby redundancy||Li J.||1||3||0||0||0||4||3||7|
|17.||2019||Stress concentration studies in flat plates with rectangular cut-outs using finite element method||Gunwant D.||4||1||0||0||0||6||0||6|
|18.||2018||Features of loss of stability of the work of two-link mechanisms that have an infinite number of degrees of freedom||Kondratenko L., Mironova L.||3||4||0||0||0||5||1||6|
|19.||2018||Handling generalized Type-2 problems of digital circuit design via the variable-entered Karnaugh Map||Rushdi A.M.A.||3||4||0||0||1||5||0||6|
|20.||2018||An approach for solving fuzzy multi-objective linear fractional programming problems||Pramy F.A.||3||3||0||0||2||3||1||6|