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The Impact of Industry 4.0 on Sustainability and the Circular Economy

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Social Ecology and Sustainability".

Deadline for manuscript submissions: closed (31 January 2023) | Viewed by 9665

Special Issue Editors


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Guest Editor
College of Science and Engineering, University of Derby, Derby DE22 1GB, UK
Interests: sustainable operations and supply chain management; circular economy; systems modelling and simulation; Industry 4.0
Department of Industrial Engineering, Eastern Mediterranean University, 99628 Famagusta, North Cyprus via Mersin 10, Turkey
Interests: sustainable operations; manufacturing and quality management; circular economy; decision making; Industry 4.0; supply chain sustainability

Special Issue Information

Dear Colleagues,

In recent years, the industrial environment has been undergoing a radical transformation due to the introduction of concepts and technologies stemming from the fourth industrial revolution (also known as Industry 4.0). Industry 4.0, as a term which has been increasingly growing in popularity, revolves around the smart manufacturing revolution that is taking place across the manufacturing sector and beyond. Within the domain of this umbrella term, areas such as: cyber physical systems (CPS), Internet of Things (IoT), data analytics/big data for business intelligence, data science, artificial intelligence (AI) and much more, are encompassed. There is a consensus among scholars and industrialists that Industry 4.0 offers significant opportunities for sustainability, with a view to generate significant economic, environmental, and social benefits, acting as a catalysor towards achieving sustainable development goals at the micro, meso and macro levels. In particular, Industry 4.0 carries the synergistic potential to bring a new set of opportunities for the implementation, integration, and operationalization of circular economy (CE), which, as a result, will foster industrial sustainable development.

CE offers greater security of material supply, improved productivity, the reduced depletion of natural resources, lower CO2 and other greenhouse gas (GHG) emissions, and reduced pollution and waste, as an emerging sustainability paradigm. The urrent literature includes a wide variety of CE models, metrics, and key performance indicators (KPIs) contributions to facilitate CE implementations across various industries, including the manufacturing industry. Different strategies have been proposed to support the transition from a linear economy to a CE through the responsible and cyclical use of resources for sustainable development. In principle, it includes closed-loop supply chain strategies designed to reuse, remanufacture, refurbish, recycle, minimize, eliminate, share, and optimize material and energy use, while maintaining firm profitability. However, the integration of Industry 4.0 technologies and concepts with sustainability, and in particular with the CE, is a fruitful area with many unknowns to be explored.

This Special Issue aims to reveal the high potential of Industry 4.0 in supporting implementation, and the integration of sustainability and CE practices in the industrial domain. In line with this aim, research contributions that focus on the identification of relationships, synergies, complications and challenges between Industry 4.0, sustainability and CE concepts are particularly encouraged. Hot research areas include, but are not limited to:

  • The relationships between the I4.0 (and its subsidiary technologies) and the economic, environmental and social dimensions of sustainability, and their specific indicators, e.g., energy consumption, emissions, health and safety, etc.
  • I4.0 concepts and models for facilitation and/or catalysis of industrial implementation of sustainability and CE
  • The enablers and barriers/complications to the adoption of I4.0-based sustainability and CE
  • I4.0-based decision making models for integration, and the improvement of organizational and supply chain sustainability
  • I4.0 and industrial sustainability performance measurement
  • I4.0 and its role in sustainable supply chain management, including closed-loop supply chains and reverse logistics
  • I4.0 and its impact on overcoming industrial barriers to adoption of sustainability and CE practices
  • I4.0 and associated response strategies to industrial sustainability issues (e.g., security of supply, occupational health and safety etc.) introduced by the COVID-19 pandemic
  • Sectoral, regional and/or empirical insights on implementation, realization and operationalization of I4.0 concepts-based industrial sustainability and CE
  • Sustainable manufacturing and I4.0

Dr. Kapila Liyanage
Dr. Ali Bastas
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Industry 4.0
  • sustainability
  • circular economy
  • digitization
  • smart manufacturing
  • cyber physical systems
  • Internet of Things
  • big data analytics
  • triple-bottom line
  • artificial intelligence
  • closed-loop supply chains
  • sustainable supply chain management

Published Papers (3 papers)

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Research

10 pages, 668 KiB  
Article
Development of a Structural Model for the Adoption of Industry 4.0 Enabled Sustainable Operations for Operational Excellence
by Sumit Gupta, Basai Prathipati, Govind Sharan Dangayach, Posinasetti Nageswara Rao and Sandeep Jagtap
Sustainability 2022, 14(17), 11103; https://doi.org/10.3390/su141711103 - 5 Sep 2022
Cited by 12 | Viewed by 2200
Abstract
In the current competitive scenario, SMEs need to adopt advanced technology in order to comprehend the dynamics of Industry 4.0 and the sustainable operations for operational excellence. The present study discusses the relationship between Industry 4.0 with sustainable operations and operational excellence. A [...] Read more.
In the current competitive scenario, SMEs need to adopt advanced technology in order to comprehend the dynamics of Industry 4.0 and the sustainable operations for operational excellence. The present study discusses the relationship between Industry 4.0 with sustainable operations and operational excellence. A research model is proposed and assessed through structural equation modelling (SEM). The current research shows that if SMEs adopt Industry 4.0 practices and the use of advanced robotics in order to minimize human intervention, as well as smart logistics that react to changes in production capacity, virtual reality and dynamic simulation techniques, then SMEs can significantly achieve sustainability in manufacturing operations. Furthermore, this study will help companies to attain an operational excellence with greater efficiency and productivity. Therefore, SMEs need to focus on sustainable manufacturing practices. Full article
(This article belongs to the Special Issue The Impact of Industry 4.0 on Sustainability and the Circular Economy)
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15 pages, 233 KiB  
Article
Performance Assessment on the Application of Artificial Intelligence to Sustainable Supply Chain Management in the Construction Material Industry
by Kuang-Sheng Liu and Ming-Hung Lin
Sustainability 2021, 13(22), 12767; https://doi.org/10.3390/su132212767 - 18 Nov 2021
Cited by 14 | Viewed by 3820
Abstract
Along with global geopolitical complex, information network security issues and increased natural disasters, risk management should be well considered in the construction material industry to re-integrate and establish stiff and flexible supply chains in order to cope with emergencies in the future market. [...] Read more.
Along with global geopolitical complex, information network security issues and increased natural disasters, risk management should be well considered in the construction material industry to re-integrate and establish stiff and flexible supply chains in order to cope with emergencies in the future market. Taking the construction material industry in Taiwan as the research object, representative enterprises with artificial intelligence applied sustainable supply chain management are studied. With the Delphi method and data envelopment analysis, the public data of annual statistics reports of the enterprises are used for selecting the performance indicators of inputs and outputs. Empirical data analysis is also performed to provide reference for the improvement. The research results are summarized as follows. 1. Substituting various input/output index values into CCR and BCC models, the overall production efficiency and pure technical efficiency of enterprises are calculated; by dividing the two, the returns to scale of enterprises are acquired. 2. Critical factors in artificial intelligence applied sustainable supply chain management could be found out through sensitivity analysis. Using the rate of sensitivity change as the evaluation baseline, sensitive factors contain financial aspect, scale aspect, financial performance, and profit before tax. Finally, discussions are proposed according to the results, expecting to help domestic businesses in the construction material industry establish steady and flexible supply chains and present diversified procurement sources to reinforce the emergency defensive ability of the construction material industry. Full article
(This article belongs to the Special Issue The Impact of Industry 4.0 on Sustainability and the Circular Economy)
16 pages, 1993 KiB  
Article
The Time-Varying Effect of Asset Prices on Turkey’s Circular Economy
by Mehmet Balcilar and Evrim Toren
Sustainability 2021, 13(22), 12373; https://doi.org/10.3390/su132212373 - 9 Nov 2021
Cited by 1 | Viewed by 1736
Abstract
The study aims to examine the effects of spillovers from stock prices on consumption and interest rates in Turkey. From the circular economy viewpoint, there should be sustainable consumption to achieve sustainable development with the help of consumers and other stakeholders. A time-varying [...] Read more.
The study aims to examine the effects of spillovers from stock prices on consumption and interest rates in Turkey. From the circular economy viewpoint, there should be sustainable consumption to achieve sustainable development with the help of consumers and other stakeholders. A time-varying vector autoregressive (TVP-VAR) model with stochastic volatility is used in the study. The aim is to obtain dynamics that stimulate growth, development, recession or change within the Turkish economy according to the emphases on circular economy. In order to analyze the relationship between real consumption, nominal interest rate and real stock prices, the TVP-VAR model is specified as a three-variable, time-varying model. The sample data that have been gathered from the Central Bank of the Republic of Turkey cover the period between Q1 1987 and Q3 2013. Overall, this study provides significant evidence of spillovers on consumption and interest rate during financial crises in Turkey, and the implications of monetary policy. In addition, the TVP model with stochastic volatility offers remarkable results regarding the influence of price shock on consumption in Turkey. However, we do not find any significant effect from interest rate to real consumption. Full article
(This article belongs to the Special Issue The Impact of Industry 4.0 on Sustainability and the Circular Economy)
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