International Journal of Mathematical, Engineering and Management Sciences

ISSN: 2455-7749


    International Journal of Mathematical, Engineering and Management Sciences
http://ijmems.in

Special Issue on

Blockchain Technology for Sustainable Manufacturing based on Circular Economy

Introduction

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:
  • Strategies of adopting Blockchain technology in various industries.
  • Opportunities and challenges for Blockchain Technology and business application systems integration (ERP, CRM, WMS, MES, etc.)
  • Combining Blockchain Technology with RFID/NFC solutions for Sustainable Smart Supply Chains.
  • Blockchain Technology for sustainable manufacturing applications.
  • Interdisciplinary methods on blockchain and manufacturing areas to reach the sustainability goals but also to handle diverse manufacturing problems.
  • Security and Privacy benefits and challenges of blockchain for Sustainable manufacturing.
  • Sustainable Supply chain trackability with blockchain in Industry 4.0.
  • Case studies related to Blockchain in Industries addressing sustainability issues.
  • Review studies on blockchain application in different industries.
  • Application of blockchains in different manufacturing settings.
  • Conceptually driven papers focused on assessing the complex relationship of blockchain technology with sustainability and circular economy.
  • Empirical studies or mathematical and simulation modelling papers studying blockchain, circular economy and sustainable manufacturing
  • Blockchain for Food Sustainability.
  • Role of blockchains in Circular economy and sustainability.
  • Role of blockchains in promoting environmentally sustainable behaviour.
  • Integration between blockchain and other disruptive technologies of Industry 4.0 on the aim for more sustainable supply chains.
  • Blockchain and Artificial Intelligence for business transformation towards sustainable manufacturing.
  • Future trends in adopting blockchain technology in large industrial systems.
Important Dates
    Submission Deadline: 1st August 2021
    First Round of Reviews: 1st October 2021
    Second Round of Reviews: 1st December 2021
    Final Acceptance: January 2022
Manuscript Submission Information

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.php


Guest Editors

Dr. Rajeev Agrawal

Department of Mechanical Engineering, Malaviya National Institute of Technology, Jaipur (India)-302017.
Email: ragrawal.mech@mnit.ac.in

Prof. Vikas Kumar a,b

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.vn

Assist. Prof. Dr. Gul Tokdemir

Computer Engineering Department, Cankaya University, Ankara, Turkey.
Email: gtokdemir@cankaya.edu.tr

Assist. Prof. Gordana Zeba

Mechanical Engineering Faculty in Slavonski Brod, University of Slavonski Brod, Slavonski Brod, Croatia.
Email: gmaticevic1@gmail.com

Prof. Guilherme Francisco Frederico

School of Management, Federal University of Paraná - UFPR, Curitiba, Brazil.
Email: guilherme.frederico@ufpr.br

Note: 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
2 15 36 262 75 390
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

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