Exploring Industry 4.0 technologies to enable circular economy practices in a manufacturing context

The purpose of this paper is to explore how rising technologies from Industry 4.0 can be integrated with circular economy (CE) practices to establish a business model that reuses and recycles wasted material such as scrap metal or e-waste.,The qualitative research method was deployed in three stages. Stage 1 was a literature review of concepts, successful factors and barriers related to the transition towards a CE along with sustainable supply chain management, smart production systems and additive manufacturing (AM). Stage 2 comprised a conceptual framework to integrate and evaluate the synergistic potential among these concepts. Finally, stage 3 validated the proposed model by collecting rich qualitative data based on semi-structured interviews with managers, researchers and professors of operations management to gather insightful and relevant information.,The outcome of the study is the recommendation of a circular model to reuse scrap electronic devices, integrating web technologies, reverse logistics and AM to support CE practices. Results suggest a positive influence from improving business sustainability by reinserting waste into the supply chain to manufacture products on demand.,The impact of reusing wasted materials to manufacture new products is relevant to minimising resource consumption and negative environmental impacts. Furthermore, it avoids hazardous materials ending up in landfills or in the oceans, seriously threatening life in ecosystems. In addition, reuse of wasted material enables the development of local business networks that generate jobs and improve economic performance.,First, the impact of reusing materials to manufacture new products minimises resource consumption and negative environmental impacts. The circular model also encourages keeping hazardous materials that seriously threaten life in ecosystems out of landfills and oceans. For this study, it was found that most urban waste is plastic and cast iron, leaving room for improvement in increasing recycling of scrap metal and similar materials. Second, the circular business model promotes a culture of reusing and recycling and motivates the development of collection and processing techniques for urban waste through the use of three-dimensional (3D) printing technologies and Industry 4.0. In this way, the involved stakeholders are focused on the technical parts of recycling and can be better dedicated to research, development and innovation because many of the processes will be automated.,The purpose of this study was to explore how Industry 4.0 technologies are integrated with CE practices. This allows for the proposal of a circular business model for recycling waste and delivering new products, significantly reducing resource consumption and optimising natural resources. In a first stage, the circular business model can be used to recycle electronic scrap, with the proposed integration of web technologies, reverse logistics and AM as a technological platform to support the model. These have several environmental, sociotechnical and economic implications for society.,The sociotechnical aspects are directly impacted by the circular smart production system (CSPS) management model, since it creates a new culture of reuse and recycling techniques for urban waste using 3D printing technologies, as well as Industry 4.0 concepts to increase production on demand and automate manufacturing processes. The tendency of the CSPS model is to contribute to deployment CE in the manufacture of new products or parts with AM approaches, generating a new path of supply and demand for society.

[1]  Thierry Rayna,et al.  Involving Consumers: The Role of Digital Technologies in Promoting ‘Prosumption’ and User Innovation , 2016 .

[2]  Huang Mei,et al.  The Modeling of Milk-run Vehicle Routing Problem Based on Improved C-W Algorithm that Joined Time Window , 2017 .

[3]  E. Hultink,et al.  The Circular Economy - A New Sustainability Paradigm? , 2017 .

[4]  Luiz Octávio Gavião,et al.  Sustainability Analysis in Electrical Energy Companies by Similarity Technique to Ideal Solution , 2017 .

[5]  Fiona Charnley,et al.  Skills and capabilities for a sustainable and circular economy: The changing role of design , 2017 .

[6]  Xiaoling Zhang,et al.  Sustainable performance of just-in-time (JIT) management in time-dependent batch delivery scheduling of precast construction , 2018, Journal of Cleaner Production.

[7]  Nina Nakajima,et al.  A Vision of Industrial Ecology: State-of-the-Art Practices for a Circular and Service-Based Economy , 2000 .

[8]  S. Evans,et al.  Business Models and Supply Chains for the Circular Economy , 2018, Journal of Cleaner Production.

[9]  Bruno S. Silvestre,et al.  Challenges for sustainable supply chain management: When stakeholder collaboration becomes conducive to corruption , 2018, Journal of Cleaner Production.

[10]  William Hogland,et al.  On the way to ‘zero waste’ management: Recovery potential of elements, including rare earth elements, from fine fraction of waste , 2018, Journal of Cleaner Production.

[11]  Paulo Augusto Cauchick Miguel,et al.  Sustainable business models as an innovation strategy in the water sector: An empirical investigation of a sustainable product-service system , 2018 .

[12]  Simone Diniz Junqueira Barbosa,et al.  CasCADe: A Novel 4D Visualization System for Virtual Construction Planning , 2018, IEEE Transactions on Visualization and Computer Graphics.

[13]  Sang Do Noh,et al.  Smart manufacturing: Past research, present findings, and future directions , 2016, International Journal of Precision Engineering and Manufacturing-Green Technology.

[14]  M. Carmen Ruiz,et al.  From Sensor Networks to Internet of Things. Bluetooth Low Energy, a Standard for This Evolution , 2017, Sensors.

[15]  A. Rashid,et al.  Towards circular economy implementation: a comprehensive review in context of manufacturing industry , 2016 .

[16]  Erwin van der Laan,et al.  Quantitative models for reverse logistics: A review , 1997 .

[17]  Helmut Zaiser,et al.  Competences for Cyber-physical Systems in Manufacturing – First Findings and Scenarios , 2014 .

[18]  Samir K. Srivastava,et al.  Green Supply-Chain Management: A State-of-the-Art Literature Review , 2007 .

[19]  Athanasios V. Vasilakos,et al.  Software-Defined Industrial Internet of Things in the Context of Industry 4.0 , 2016, IEEE Sensors Journal.

[20]  Peter Loos,et al.  Towards an Integrative Big Data Analysis Framework for Data-Driven Risk Management in Industry 4.0 , 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).

[21]  Michael Felderer,et al.  Research Challenges of Industry 4.0 for Quality Management , 2015, ERP Future.

[22]  Junjie Li,et al.  A Research on Development of Construction Industrialization Based on BIM Technology under the Background of Industry 4.0 , 2017 .

[23]  Enzo Baccarelli,et al.  Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study , 2017, IEEE Access.

[24]  Paul Trompisch Industrie 4.0 und die Zukunft der Arbeit , 2017, Elektrotech. Informationstechnik.

[25]  Tao Li,et al.  Big Data Oriented Macro-Quality Index Based on Customer Satisfaction Index and PLS-SEM for Manufacturing Industry , 2016, 2016 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII).

[26]  D. Pearce,et al.  The Ethical Foundations of Sustainable Economic Development , 1992 .

[27]  Gabriella Pultrone The Ecological Challenge as an Opportunity and Input for Innovative Strategies of Integrated Planning , 2018 .

[28]  Fernando González-Andrés,et al.  Sustainable supply chain management: Contributions of supplies markets , 2018 .

[29]  Detlef Zühlke,et al.  Lean Automation enabled by Industry 4.0 Technologies , 2015 .

[30]  T. Pereira,et al.  Industry 4.0 implications in logistics: an overview , 2017 .

[31]  Kwangyeol Ryu,et al.  A Framework of a Smart Injection Molding System Based on Real-time Data , 2017 .

[32]  Gunnar Prause,et al.  Sustainable business models and structures for industry 4.0 , 2015 .

[33]  Lin Wang,et al.  The Application of Industry 4.0 in Customized Furniture Manufacturing Industry , 2017 .

[34]  A. Strauss Basics Of Qualitative Research , 1992 .

[35]  G. Seliger,et al.  Opportunities of Sustainable Manufacturing in Industry 4.0 , 2016 .

[36]  Ann Lewins,et al.  Using Software in Qualitative Research: A Step-by-Step Guide , 2007 .

[37]  Alessia Amato,et al.  Printed circuit board recycling: A patent review , 2018 .

[38]  S. Koh,et al.  Sustainable supply chain management and the transition towards a circular economy: Evidence and some applications $ , 2017 .

[39]  H. Kagermann Change Through Digitization—Value Creation in the Age of Industry 4.0 , 2015 .

[40]  Jens P. Wulfsberg,et al.  Industry 4.0 implies lean manufacturing: Research activities in industry 4.0 function as enablers for lean manufacturing , 2016 .

[41]  Ruchi Mishra,et al.  Conceptualizing sources, key concerns and critical factors for manufacturing flexibility adoption , 2016 .

[42]  C. Searcy,et al.  A literature review and a case study of sustainable supply chains with a focus on metrics , 2012 .

[43]  Reiner Anderl,et al.  Industrie 4.0 - Advanced Engineering of Smart Products and Smart Production , 2014 .

[44]  Joaquín B. Ordieres Meré,et al.  Smart factories in Industry 4.0: A review of the concept and of energy management approached in production based on the Internet of Things paradigm , 2014, 2014 IEEE International Conference on Industrial Engineering and Engineering Management.

[45]  Klaus-Dieter Thoben,et al.  "Industrie 4.0" and Smart Manufacturing - A Review of Research Issues and Application Examples , 2017, Int. J. Autom. Technol..

[46]  Sungbum Park,et al.  Development of Innovative Strategies for the Korean Manufacturing Industry by Use of the Connected Smart Factory (CSF) , 2016 .

[47]  Osvaldo Luiz Gonçalves Quelhas,et al.  Measurement of sustainability performance in Brazilian organizations , 2018 .

[48]  Miroslav Svitek,et al.  Industry 4.0 as a part of smart cities , 2016, 2016 Smart Cities Symposium Prague (SCSP).

[49]  Peter Krajnik,et al.  Resource Conservative Manufacturing: an essential change in business and technology paradigm for sustainable manufacturing , 2013 .

[50]  Tasbirul Islam,et al.  Reverse logistics and closed-loop supply chain of Waste Electrical and Electronic Equipment (WEEE)/E-waste: A comprehensive literature review , 2018, Resources, Conservation and Recycling.

[51]  Kim Hua Tan,et al.  Operational Excellence towards Sustainable Development Goals through Industry 4.0 , 2017 .

[52]  Gustav A Sandin,et al.  Environmental impact of textile reuse and recycling – A review , 2018 .

[53]  D. Ivanov New Drivers for Supply Chain Structural Dynamics and Resilience: Sustainability, Industry 4.0, Self-Adaptation , 2018 .

[54]  Luk N. Van Wassenhove,et al.  Closed - Loop Supply Chain Models with Product Remanufacturing , 2004, Manag. Sci..

[55]  Elisa D. Sotelino,et al.  Constructability in industrial plants construction: a BIM-Lean approach using the Digital Obeya Room framework , 2017 .

[56]  K. M. Taylor,et al.  Empirical research on sustainable supply chains: IJPR’s contribution and research avenues , 2018, International Journal of Production Research.

[57]  Walid Abdul-Kader,et al.  A hybrid multiple criteria decision making approach for measuring comprehensive performance of reverse logistics enterprises , 2018, Comput. Ind. Eng..

[58]  Lifeng Zhou,et al.  Industry 4.0: Towards future industrial opportunities and challenges , 2015, 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

[59]  Karel Kellens,et al.  Environmental Dimensions of Additive Manufacturing: Mapping Application Domains and Their Environmental Implications , 2017 .

[60]  Juergen Jasperneite,et al.  The Future of Industrial Communication: Automation Networks in the Era of the Internet of Things and Industry 4.0 , 2017, IEEE Industrial Electronics Magazine.

[61]  Robert Dahlstrom,et al.  Exploring the pursuit of sustainability in reverse supply chains for electronics , 2018, Journal of Cleaner Production.

[62]  Christoph Herrmann,et al.  Industry 4.0 Impacts on Lean Production Systems , 2017 .

[63]  H. Wenzel,et al.  Potential for circular economy in household WEEE management , 2017 .

[64]  Yongkui Liu,et al.  Industry 4.0 and Cloud Manufacturing: A Comparative Analysis , 2017 .

[65]  Alexandre Dolgui,et al.  A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0 , 2016 .

[66]  M. Despeisse,et al.  Unlocking value for a circular economy through 3D printing: A research agenda , 2017 .

[67]  C. Rowbottom,et al.  The implementation of a PDR 3D-guided gynaecological brachytherapy service in a UK centre , 2013, Journal of Radiotherapy in Practice.

[68]  Mathias Schmitt,et al.  Towards Industry 4.0 - Standardization as the crucial challenge for highly modular, multi-vendor production systems , 2015 .

[69]  Beata Mrugalska,et al.  Towards Lean Production in Industry 4.0 , 2017 .

[70]  Jiafu Wan,et al.  Mobile Services for Customization Manufacturing Systems: An Example of Industry 4.0 , 2016, IEEE Access.

[71]  Rebekah Thomas,et al.  Tools and approaches to operationalize the commitment to equity, gender and human rights: towards leaving no one behind in the Sustainable Development Goals , 2018, Global health action.

[72]  Andreas Schumacher,et al.  A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises , 2016 .

[73]  Stefan Seuring,et al.  From a literature review to a conceptual framework for sustainable supply chain management , 2008 .