Integrating Bioeconomy Principles in Bionic Production: Enhancing Sustainability and Environmental Performance
Abstract
:1. Introduction
- What is the potential of renewable biological resources for bionic production, and how can their availability, properties, and suitability be assessed?
- How can sustainable manufacturing techniques and processes be identified and evaluated to align with bioeconomy principles in bionic production?
- What strategies and methodologies can be developed to optimise resource efficiency and minimise waste generation in bionic production, fostering a bioeconomy approach?
- How can life cycle assessments (LCA) be conducted to assess the environmental impact and sustainability performance of bioeconomy-integrated bionic production processes?
- What is the economic feasibility and market potential of bioeconomy-driven bionic production, considering the cost-effectiveness of bio-based materials and the scalability of sustainable manufacturing techniques?
2. Materials and Methods
2.1. Literature Review and Selection Criteria
2.2. Data Collection
2.3. Conceptual Framework
2.4. Analysis and Interpretation
2.5. Selection of Real-World Case Studies
3. Results
3.1. Integration of Bioeconomy Principles in Bionic Production
- Utilisation of Renewable Biological Resources: This facet encompasses the incorporation of bio-based materials sourced from renewable feedstocks, such as plant-based polymers, biomaterials, and biocomposites. This strategic shift from fossil fuel-based materials to bio-based alternatives plays a pivotal role in diminishing reliance on finite resources and ameliorating environmental impacts (Rosenboom et al. 2022; Roumeli et al. 2022; Malla et al. 2023). The findings emphasise the importance of incorporating renewable biological resources and provide insights into their properties, availability, and suitability, facilitating their assessment.
- Bio-Inspired Design: Inspired by the intricacies of biological structures and functions, bionic designers have endeavoured to fashion products that possess augmented performance and efficiency. These biomimetic designs often entail meticulous optimisation of material usage, weight reduction, and performance enhancement, all of which culminate in the creation of more sustainable and resource-efficient products (Bélanger-Barrette 2021; Feliu-Talegon et al. 2020; Price et al. 2022).
- Sustainable Manufacturing Techniques: These methodologies prioritise resource efficiency, waste reduction, and energy optimisation. Noteworthy examples encompass additive manufacturing and biofabrication, which enable precision and customisation in production, consequently curtailing material waste and energy consumption (Javaid et al. 2022; Siciliano and Khatib 2016; Scown and Keasling 2022).
- Bioeconomy Approach: Extending beyond the confines of the production phase, the bioeconomy approach encompasses the entire lifecycle of a product, including its use, maintenance, and end-of-life phases. Implementation of strategies such as recycling, reusing, and remanufacturing serves to minimise waste generation and prolong product lifespans, thereby curbing environmental impact (Dahiya et al. 2022; Sinha and Modak 2021; Davis-Peccoud et al. 2021).
- Environmental Protection: Bionic production, grounded in the utilisation of renewable biological resources and the optimisation of material usage and energy consumption, emerges as a significant contributor to environmental protection. Its potential to mitigate greenhouse gas emissions, diminish pollution, and preserve ecosystems holds promise (Tõnnisson and Schmerber 2018; Zheng and Suh 2019).
3.2. Sustainable Manufacturing Techniques and Processes
- Additive Manufacturing significantly reduces material consumption by building products layer by layer. It enables precise customisation, rapid prototyping, and lightweight design, leading to resource-efficient manufacturing (Abdulhameed et al. 2019; Bournias Varotsis 2021; Javaid et al. 2022; Kokare et al. 2023; Li and Yeo 2021).
- Biofabrication creates functional tissues and structures using living cells and biomaterials, melding biology, engineering, and materials science. Methods like bioprinting and tissue engineering reduce material waste and reliance on animal testing, embracing renewable biological resources (Jones et al. 2021; Schiros et al. 2021).
- Lean Manufacturing minimises waste, enhances efficiency, and boosts productivity by eliminating unnecessary production activities. Lean manufacturing optimises workflows, reduces waste, and streamlines processes to enhance resource efficiency and environmental sustainability (Jadhav and Ekbote 2021).
- Closed-Loop Manufacturing (also known as Circular Manufacturing): This approach designs products and processes to generate minimal waste, favouring effective material recovery and reuse. It aligns with bioeconomy principles and fosters sustainable resource management (Häußler et al. 2021).
- Energy Efficiency (also known as Circular Manufacturing): this approach designs products and processes to generate minimal waste, favouring effective material recovery and reuse. It aligns with bioeconomy principles and fosters sustainable resource management (Häußler et al. 2021).
- Supply Chain Optimisation: Extending beyond single facilities, sustainable manufacturing considers the entire supply chain. Optimising it entails reducing transportation distances, selecting eco-friendly suppliers, and ensuring transparency and ethics, thus minimising emissions, promoting responsible sourcing, and supporting sustainability (Gopalakrishnan 2022).
- Understanding bioeconomy principles: Assess the bioeconomy’s core principles, including renewable resource use, waste valorisation, and resource efficiency. These principles guide the identification of sustainable manufacturing techniques.
- Utilising established frameworks: Review existing sustainability-related frameworks and standards like ISO 14001 (Environmental Management Systems) and ISO 50001 (Energy Management Systems). They serve as bases for evaluating manufacturing techniques’ sustainability (Sartor et al. 2019; Prasetya et al. 2021).
- Conducting life cycle assessments (LCA): Conducting LCA is a valuable approach to evaluating the environmental implications of different manufacturing techniques and processes throughout their life cycles. LCA provides insights into areas of concern and opportunities for improvement, considering factors such as energy consumption, greenhouse gas emissions, water usage, and waste generation.
- Analysing resource efficiency: Evaluate material usage, energy efficiency, waste reduction, and circularity aspects. Seek techniques that minimise resource consumption and promote closed-loop systems.
- Assessing environmental performance: Consider environmental performance indicators like carbon, water, and ecological footprints. Compare different techniques to identify those with lower environmental impacts.
- Evaluating social and economic aspects: Beyond environmental factors, assess social and economic aspects, such as job creation, worker safety, and local economic development.
- Engaging stakeholders: Involve manufacturers, researchers, policymakers, and consumers in evaluations. Seek their input and expertise for a comprehensive assessment.
- Promoting innovation and collaboration: Encourage innovation in bionic production by fostering collaborative efforts between academia, industry, and government agencies. Support research and development efforts to explore new sustainable manufacturing techniques and processes that align with bioeconomy principles (Gasparetto and Scalera 2019).
3.3. Life Cycle Assessment (LCA) of Bioeconomy-Integrated Bionic Production
- Design for Resource Efficiency: Prioritise resource-efficient design from the product’s inception. This includes selecting renewable, recyclable, or biodegradable materials and incorporating modular and standardised interfaces for easy disassembly and recycling.
- Material Substitution: Replace harmful materials with sustainable alternatives. Bio-based materials like plant-based polymers and natural fibres offer eco-friendly options. Use life cycle assessments (LCAs) to assess environmental impacts and resource efficiency in material choices.
- Waste Valorisation: Maximise waste utilisation by recycling, upcycling, or repurposing it for new products or manufacturing processes. Recognise waste as a valuable resource to create a circular, sustainable production system.
- Energy Efficiency: Boost energy efficiency with energy-saving technologies, process optimisation, and renewable energy use. These measures cut energy consumption and enhance resource-efficient production.
- Closed-loop Systems: Develop closed-loop systems to minimise material and resource losses. Strategies include waste reduction, recycling, and reusing materials to establish a continuous resource flow and reduce waste.
- Supply Chain Optimisation: Optimise the supply chain by reducing resource consumption and waste. Efficient logistics, shorter transportation distances, and sustainable supplier choices, supported by stakeholder collaboration, ensure transparency and traceability.
- Continuous Improvement: Foster a culture of continuous improvement by implementing lean manufacturing principles and regularly evaluating and optimising processes. Engaging employees in identifying resource efficiency improvements and waste reduction opportunities contributes to ongoing progress.
- Stakeholder Collaboration: Collaborate with stakeholders, including manufacturers, researchers, policymakers, and consumers, to promote a bioeconomy approach in bionic production. Sharing knowledge, best practices, and innovative resource-efficient manufacturing approaches drives progress.
3.4. Economic Feasibility and Market Potential
- Cost-effectiveness of Bio-based Materials: Analysing the cost-effectiveness of bio-based materials compared to their petrochemical-based counterparts is essential. Factors like feedstock availability, production costs, and market demand influence their economic competitiveness (Colorado et al. 2020). This evaluation aids in assessing the financial feasibility of bioeconomy-integrated bionic production.
- Scalability of Sustainable Manufacturing Techniques: Evaluating the scalability of sustainable manufacturing techniques, such as additive manufacturing and biofabrication, is essential. Factors like production capacity, process efficiency, equipment costs, and potential scaling barriers need thorough examination to estimate economic potential and market adoption (Sculpteo 2021).
- Market Demand and Consumer Acceptance: The success of bioeconomy-integrated bionic production hinges on understanding market trends, consumer preferences, and regulatory frameworks (Swain and Kharad 2021). Insights into environmental awareness, sustainability certifications, and government policies can help gauge market demand and potential acceptance of bio-based products.
- Economic Analysis and Business Models: Conducting economic analyses and developing robust business models are vital steps in evaluating the financial feasibility of bioeconomy-driven bionic production. Considerations include costs, revenues, return on investment, and profitability (Mishra et al. 2021). Well-defined business models aligned with bioeconomy principles and sustainability values attract investment and ensure long-term success.
- Policy and Supportive Measures: Government incentives, funding programmes, and supportive regulations play a pivotal role in fostering the economic viability and market potential of bioeconomy-driven initiatives. Understanding the policy landscape and government support levels helps identify opportunities and potential challenges in the market (Mishra et al. 2021).
- Renewable Biological Resources: Emphasises the utilisation of renewable biological resources, assessing their availability and suitability for bionic production.
- Sustainable Design and Manufacturing: Promotes sustainable design and bio-inspired manufacturing techniques to enhance resource efficiency. It encourages the development of bio-inspired designs, additive manufacturing techniques, and biofabrication methods to enhance resource efficiency, minimise waste generation, and optimise production processes (Cherepanov et al. 2021; Schumacher et al. 2020).
- Life Cycle Thinking: Considers the entire life cycle of bionic products, conducting assessments to evaluate environmental impacts (Moosavi et al. 2021). It emphasises the importance of conducting life cycle assessments (LCA) to evaluate the environmental impacts of bioeconomy-integrated bionic production, including factors such as energy consumption, greenhouse gas emissions, and water usage.
- Bioeconomy Approach: Encourages waste reduction, recycling, and circular design strategies to minimise resource consumption. Circular design strategies, such as modular designs or disassembly-friendly products, are also advocated to enable easier repair, remanufacturing, or recycling.
- Stakeholder Collaboration: Encourages waste reduction, recycling, and circular design strategies to minimise resource consumption (Deloitte 2023; Kreuzer et al. 2018).
- Economic Feasibility and Market Potential: Considers the economic aspects, including cost-effectiveness and market potential, of bioeconomy-integrated bionic production.
- Policy Coherence and Stability: Ensure stable and coherent policies that offer clarity and predictability, reducing uncertainty and encouraging long-term investments in bioeconomy initiatives.
- Financial Incentives: Provide incentives like grants, tax benefits, or financial aid to ease the transition to bioeconomy practices, making them economically viable.
- Research and Development Support: Allocate resources to support bioeconomy-related research and development, driving innovation and technological advancement.
- Standards and Certification: Set clear sustainability standards and certification systems, motivating industries to meet these criteria and boost product marketability.
- Public Procurement: Use government purchasing power to support bioeconomy products, creating demand for sustainable options and incentivising industry alignment.
- Education and Awareness: Promote bioeconomy benefits and provide education on sustainable practices to encourage a culture of sustainability.
- Public-Private Partnerships: Collaborate with private sector, research, and NGO stakeholders to accelerate bioeconomy adoption through knowledge sharing and innovation.
- Innovation Clusters and Incubators: Establish bioeconomy-focused innovation clusters and incubators to nurture startups and businesses, providing resources and mentorship.
- Regulatory Flexibility: Consider adaptable regulations to accommodate innovative bioeconomy technologies, allowing experimentation and scaling without rigid constraints.
- Commitment to Sustainability: Demonstrate a long-term commitment to bioeconomy principles, instilling confidence in businesses and investors to invest sustainably (Okada et al. 2022).
3.5. Case Studies
4. Discussion
4.1. Environmental Impact and Circular Bioeconomy
4.2. Economic Alignment and Sustainability
4.3. Challenges in Implementation
- Insufficient Adoption of Sustainable Manufacturing Techniques: Despite the promising potential, the widespread incorporation of sustainable manufacturing techniques, such as additive manufacturing and biofabrication, remains notably limited within the current landscape of biotechnology. Substantial barriers to adoption include inadequate awareness, high initial investment costs, and the need for further research to optimise and tailor these methods to specific applications.
- Data Scarcity for Comprehensive Life Cycle Assessment (LCA): Conducting thorough life cycle assessments for bioeconomy-integrated bionic production poses significant challenges due to the scarcity of pertinent data concerning the environmental impacts of bio-based materials and sustainable manufacturing processes. To enhance the credibility and precision of LCA studies, concerted efforts should be directed towards gathering accurate and reliable data.
- Evaluating Economic Viability and Market Acceptance: The comprehensive assessment of the economic feasibility of bioeconomy-driven bionic production demands further exploration. Although the prospects are promising, it is crucial to rigorously evaluate the viability of bio-based materials and sustainable manufacturing techniques, taking into consideration production costs, market demands, and the complexities inherent in supply chain management.
- Technological Constraints and the Imperative for Standardisation: The current landscape encounters notable technological limitations when attempting to scale up sustainable manufacturing techniques. Ensuring seamless integration across diverse industries necessitates robust standardisation efforts concerning bio-based materials and processes, facilitating compatibility and interoperability.
4.4. Role of Policy Frameworks
4.5. Future Research and Progress
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Abdulhameed, Osama, Abdulrahman Al-Ahmari, Wadea Ameen, and Syed Hammad Mian. 2019. Additive manufacturing: Challenges, trends, and applications. Advances in Mechanical Engineering 11: 1687814018822880. [Google Scholar] [CrossRef]
- Alves Filho, Sebastião Emidio, Aquiles Medeiros Filgueira Burlamaqui, Rafael Vidal Aroca, Luiz Marcos Garcia Gonçalves, and Sarah Thomaz de Lima. 2018. Green Robotics: Concepts, challenges, and strategies. IEEE Latin America Transactions 16: 1042–50. [Google Scholar] [CrossRef]
- Bélanger-Barrette, Mathieu. 2021. How to Choose the Right Industrial Robot? Available online: https://blog.robotiq.com/how-to-choose-the-right-industrial-robot (accessed on 25 March 2023).
- Boston Consulting Group. 2020. The AI Advantage of Bionic Companies. Available online: https://web-assets.bcg.com/65/d8/cc0fc6d244ff9b357d8289ded929/the-ai-advantage-of-bionic-companies-infographic-21-oct-2020.pdf (accessed on 17 April 2023).
- Bournias Varotsis, Alkaios. 2021. Design Brief: 3D Printed Casting of 3-Foot Long Robot Arm. Available online: https://roboticsandautomationnews.com/2021/08/27/design-brief-3d-printed-casting-of-3-foot-long-robot-arm/45947/ (accessed on 25 March 2023).
- Cherepanov, Vitalii, Evgeny Popov, and Victoria Simonova. 2021. Bionic Organization as a Stage of Production Enterprise Development in a Digital Transformation Process, Paper Presented at the 1st Conference on Traditional and Renewable Energy Sources: Perspectives and Paradigms for the 21st Century (TRESP 2021). April 9. Available online: https://www.researchgate.net/publication/350758605_Bionic_organization_as_a_stage_of_production_enterprise_development_in_a_digital_transformation_process (accessed on 25 March 2023).
- Colorado, Henry A., Elkin I. Gutiérrez Velásquez, and Sergio Neves Monteiro. 2020. Sustainability of additive manufacturing: The circular economy of materials and environmental perspectives. Journal of Materials Research and Technology 9: 8221–34. Available online: https://www.sciencedirect.com/science/article/pii/S2238785420312278 (accessed on 25 March 2023). [CrossRef]
- Dahiya, Divakar, Hemant Sharma, Arun Kumar Rai, and Poonam Singh Nigam. 2022. Application of biological systems and processes employing microbes and algae to Reduce, Recycle, Reuse (3Rs) for the sustainability of circular bioeconomy. AIMS Microbiology 8: 83–102. [Google Scholar] [CrossRef]
- Davis-Peccoud, Jenny, Harry Morrison, Björn Noack, and Marc de Wit. 2021. Reuse, Remanufacturing, Recycling, and Robocabs: Circularity in the Automotive Industry. The Circularity Gap Report 2021, Circle Economy. Available online: https://www.bain.com/insights/reuse-remanufacturing-recycling-and-robocabs-circularity-in-the-automotive-industry/ (accessed on 16 May 2023).
- Deloitte. 2023. Cloud Case Studies. A State Agency Improves Performance by Moving to Cloud. Available online: https://www2.deloitte.com/us/en/pages/consulting/articles/government-cloud-adoption-benefits.html (accessed on 25 March 2023).
- Ding-yi, Zhang, Wang Peng, Qu Yan-li, and Fang Lin-shen. 2019. Research on Intelligent Manufacturing System of Sustainable Development. Paper presented at the 2nd World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM), Shanghai, China, November 22–24; pp. 657–60. [Google Scholar] [CrossRef]
- Feliu-Talegon, Daniel, José Ángel Acosta, Alejandro Suarez, and Anibal Ollero. 2020. A Bio-Inspired Manipulator with Claw Prototype for Winged Aerial Robots: Benchmark for Design and Control. Applied Sciences 10: 6516. [Google Scholar] [CrossRef]
- Fürtner, Daniela, Lea Ranacher, E. Alejandro Perdomo Echenique, Peter Schwarzbauer, and Franziska Hesser. 2021. Locating Hotspots for the Social Life Cycle Assessment of Bio-Based Products from Short Rotation Coppice. BioEnergy Research 14: 510–33. [Google Scholar] [CrossRef]
- García-Domínguez, Amabel, Juan Claver, Ana María Camacho, and Miguel A. Sebastián. 2020. Analysis of General and Specific Standardization Developments in Additive Manufacturing From a Materials and Technological Approach. IEEE Access 8: 125056–75. [Google Scholar] [CrossRef]
- Gardiner, Ginger. 2016. Bionic Design: The Future of Lightweight Structures. Composites World. Available online: https://www.compositesworld.com/articles/bionic-design-the-future-of-lightweight-structures (accessed on 15 May 2023).
- Gasparetto, Allesandro, and Lorenzo Scalera. 2019. From the unimate to the delta robot The early decades of industrial robotics. History of Mechanism and Machine Science 37: 284–95. [Google Scholar] [CrossRef]
- Gopalakrishnan, Sanjith. 2022. The why and how of assigning responsibility for supply chain emissions. Nature Climate Change 12: 1075–77. [Google Scholar] [CrossRef]
- Häußler, Manuel, Marcel Eck, Dario Rothauer, and Stefan Mecking. 2021. Closed-loop recycling of polyethylene-like materials. Nature 590: 423–27. [Google Scholar] [CrossRef]
- Heidari, Mohammad Davoud, Damien Mathis, Pierre Blanchet, and Ben Amor. 2019. Streamlined Life Cycle Assessment of an Innovative Bio-Based Material in Construction: A Case Study of a Phase Change Material Panel. Forests 10: 160. Available online: www.mdpi.com/journal/forests (accessed on 25 June 2023). [CrossRef]
- Holmström, Jan, Mikko Ketokivi, and Ari-Pekka Hameri. 2009. Bridging practice and theory: A Design Science approach. Decision Sciences 40: 65–87. [Google Scholar] [CrossRef]
- Hosseinzadeh-Bandbafha, Homa, Mortaza Aghbashlo, and Meisam Tabatabaei. 2021. Life cycle assessment of bioenergy product systems: A critical review. e-Prime—Advances in Electrical Engineering, Electronics and Energy 1: 100015. [Google Scholar] [CrossRef]
- Jadhav, Pravin, and Nachiket Ekbote. 2021. Implementation of lean techniques in the packaging machine to optimize the cycle time of the machine. Materials Today: Proceedings 46: 10275–81. Available online: https://www.sciencedirect.com/science/article/pii/S2214785320398473 (accessed on 11 May 2023). [CrossRef]
- Javaid, Mohd, Abid Haleem, Ravi Pratap Singh, Shahbaz Khan, and Rajiv Suman. 2022. Sustainability 4.0 and its applications in the field of manufacturing. Internet of Things and Cyber-Physical Systems 2: 82–90. [Google Scholar] [CrossRef]
- Jones, Mitchell, Antoni Gandia, Sabu John, and Alexander Bismarck. 2021. Leather-like material biofabrication using fungi. Nature Sustainability 4: 9–16. [Google Scholar] [CrossRef]
- Kiyokawa, Takuya, Jun Takamatsu, and Shigeki Koyanaka. 2022. Challenges for Future Robotic Sorters of Mixed Industrial Waste: A Survey. IEEE Transactions on Automation Science and Engineering, 1–18. [Google Scholar] [CrossRef]
- Kokare, Samruddha, J. P. Oliveira, and Radu Godina. 2023. Life cycle assessment of additive manufacturing processes: A review. Journal of Manufacturing Systems 68: 536–59. [Google Scholar] [CrossRef]
- Kreuzer, Annabell, Katharina Mengede, Alexandra Oppermann, and Mariella Regh. 2018. Guide for Mapping the Entrepreneurial Ecosystem. Available online: https://www.goethe.de/resources/files/pdf197/5.-guide-for-mapping-the-entrepreneurial-ecosystem.pdf (accessed on 25 March 2023).
- Leong, Hui Yi, Chih-Kai Chang, Kuan Shiong Khoo, Kit Wayne Chew, Shir Reen Chia, Jun Wei Lim, Jo-Shu Chang, and Pau Loke Show. 2021. Waste biorefinery towards a sustainable circular bioeconomy: A solution to global issues. Biotechnology for Biofuels 14: 87. [Google Scholar] [CrossRef]
- Li, Lianhui, Ting Qu, Yang Liu, Ray Y. Zhong, Guanying Xu, Hongxia Sun, Yang Gao, Bingbing Lei, Chunlei Mao, Yanghua Pan, and et al. 2020. Sustainability Assessment of Intelligent Manufacturing Supported by Digital Twin. IEEE Access 8: 174988–5008. [Google Scholar] [CrossRef]
- Li, Tianjiao, and Jingjie Yeo. 2021. Strengthening the Sustainability of Additive Manufacturing through Data-Driven Approaches and Workforce Development. Advanced Intelligent Systems 3: 12. [Google Scholar] [CrossRef]
- Liu, Jinfu, Linsen Xu, Jiajun Xu, Xuan Wu, Meiling Wang, and Linlin Lu. 2018. A Bio-inspired Wall-climbing Robot with Claw Wheels and Adhesive Tracks. Paper presented at the IEEE International Conference on Information and Automation (ICIA), Wuyishan, China, August 11–13; pp. 257–62. [Google Scholar] [CrossRef]
- Malla, Fayaz A., Suhaib A. Bandh, Shahid A. Wani, Anh Tuan Hoang, and Nazir Ahmad Sofi. 2023. Biofuels: Potential Alternatives to Fossil Fuels. In Biofuels in Circular Economy. Edited by Suhaib A. Bandh and Fayaz A. Malla. Singapore: Springer. [Google Scholar] [CrossRef]
- Mishra, Devendra Kumar, Arvind Kumar Upadhyay, and Sanjiv Sharma. 2021. Role of big data analytics in manufacturing of intelligent robot. Materials Today: Proceedings 47: 6636–38. [Google Scholar] [CrossRef]
- Moosavi, Mohammad, Payam Ghorbannezhad, Majid Azizi, and Hamid Zarea Hosseinabadi. 2021. Evaluation of life cycle assessment in a paper manufacture by analytical hierarchy process. International Journal of Sustainable Engineering 14: 1647–57. [Google Scholar] [CrossRef]
- Morales, Manuel E., and Stephane Lhuillery. 2021. Modelling Circularity in Bio-based Economy Through Territorial System Dynamics. Paper presented at the IEEE European Technology and Engineering Management Summit (E-TEMS), Dortmund, Germany, March 18–20; pp. 161–65. [Google Scholar] [CrossRef]
- Nielsen, Izabela Ewa, Ashani Piyatilake, Amila Thibbotuwawa, M. Mavin De Silva, Grzegorz Bocewicz, and Zbigniew A. Banaszak. 2023. Benefits Realization of Robotic Process Automation (RPA) Initiatives in Supply Chains. IEEE Access 11: 37623–36. [Google Scholar] [CrossRef]
- Okada, Yuki, Yusuke Kishita, Tomoaki Yano, and Koichi Ohtomi. 2022. Backcasting-Based Method for Designing Roadmaps to Achieve a Sustainable Future. IEEE Transactions on Engineering Management 69: 168–78. [Google Scholar] [CrossRef]
- Prasetya, Bambang, Daryono Restu Wahono, Auraga Dewantoro, Widia Citra Anggundari, and Nugraha Yopi. 2021. The role of Energy Management System based on ISO 50001 for Energy-Cost Saving and Reduction of CO2 Emission: A review of implementation, benefits, and challenges. IOP Conference Series: Earth and Environmental Science 926: 012077. Available online: https://iopscience.iop.org/article/10.1088/1755-1315/926/1/012077 (accessed on 21 April 2023).
- Price, Mark, Wei Zhang, Imelda Friel, Trevor Robinson, Roisin McConnell, Declan Nolan, Peter Kilpatrick, Sakil Barbhuiya, and Stephen Kyle. 2022. Generative design for additive manufacturing using a biological development analogy. Journal of Computational Design and Engineering 9: 463–79. [Google Scholar] [CrossRef]
- Redwood, Ben. 2021. 3D HUBS, Knowledge Base. The Additive Manufacturing Process. Available online: https://www.hubs.com/knowledgebase/additive-manufacturing-process/ (accessed on 25 March 2023).
- Rosenboom, Jan-Georg, Robert Langer, and Giovanni Traverso. 2022. Bioplastics for a circular economy. Nature Reviews Materials 7: 117–37. [Google Scholar] [CrossRef]
- Roumeli, Eleftheria, Rodinde Hendrickx, Luca Bonanomi, Aniruddh Vashisth, Katherine Rinaldi, and Chiara Daraio. 2022. Biological matrix composites from cultured plant cells. Proceedings of the National Academy of Sciences USA 119: e2119523119. [Google Scholar] [CrossRef] [PubMed]
- Sartor, Marco, Guido Orzes, Anne Touboulic, Giovanna Culot, and Guido Nassimbeni. 2019. ISO 14001 standard: Literature review and theory-based research agenda. Quality Management Journal 26: 1. [Google Scholar] [CrossRef]
- Schiros, Theanne N., Christopher Z. Mosher, Yuncan Zhu, Thomas Bina, Valentina Gomez, Chui Lian Lee, Helen H. Lu, and Allie C. Obermeyer. 2021. Bioengineering textiles across scales for a sustainable circular economy. Chem 7: 2913–26. Available online: https://www.sciencedirect.com/science/article/pii/S2451929421005180 (accessed on 25 March 2023).
- Schumacher, Simon, Bastian Pokorni, Henry Himmelstoß, and Thomas Bauernhansl. 2020. Conceptualization of a Framework for the Design of Production Systems and Industrial Workplaces. Procedia CIRP 91: 176–81. [Google Scholar] [CrossRef]
- Scown, Corinne D., and Jay D. Keasling. 2022. Sustainable manufacturing with synthetic biology. Nature Biotechnology 40: 304–7. [Google Scholar] [CrossRef] [PubMed]
- Sculpteo. 2021. The Ultimate Guide: What Is 3D Printing? Available online: https://www.sculpteo.com/en/3d-learning-hub/basics-of-3d-printing/what-is-3d-printing/ (accessed on 25 March 2023).
- Siciliano, Bruno, and Oussama Khatib. 2016. Robotics and the Handbook. In Springer Handbook of Robotics. Edited by Bruno Siciliano and Oussama Khatib. Berlin: Springer, pp. 1–6. [Google Scholar] [CrossRef]
- Sinha, Sudipta, and Nikunja Mohan Modak. 2021. A systematic review in recycling/reusing/re-manufacturing supply chain research: A tertiary study. International Journal of Sustainable Engineering 14: 1411–32. [Google Scholar] [CrossRef]
- Swain, Rupali, and Subodh Kharad. 2021. Bionic Devices Market, Global Market Insights, Insights to Innovation. Available online: https://www.gminsights.com/industry-analysis/bionic-devices-market (accessed on 24 June 2023).
- Tišma, Sanja, and Mira Mileusnić Škrtić. 2023. Blockchain Technology in the Environmental Economics: A Service for a Holistic and Integrated Life Cycle Sustainability Assessment. Journal of Risk and Financial Management 16: 209. [Google Scholar] [CrossRef]
- Todd, D. Johnson, ed. 1986. Economic and Social Aspects of Robotics. In Fundamentals of Robot Technology. London: Kogan Page Ltd., pp. 227–35. [Google Scholar] [CrossRef]
- Tõnnisson, Rene, and Luc Schmerber. 2018. Public Private Startup Accelerators in Regional Business Support Ecosystems. A Policy Brief from the Policy Learning Platform on SME Competitiveness. Available online: https://euagenda.eu/upload/publications/untitled-193157-ea.pdf (accessed on 25 March 2023).
- Tyrer-Jones, Alex. 2023. Researchers at UMC Utrecht Make Key Innovations in Volumetric Bioprinting. 3D Printing Industry. June 22. Available online: https://3dprintingindustry.com/news/researchers-at-umc-utrecht-make-key-innovations-in-volumetric-bioprinting-222819/ (accessed on 24 June 2023).
- Walzberg, Julien, Geoffrey Lonca, Rebecca J. Hanes, Annika L. Eberle, Alberta Carpenter, and Garvin A. Heath. 2021. Do We Need a New Sustainability Assessment Method for the Circular Economy? A Critical Literature Review. Frontiers in Sustainability 1: 620047. Available online: https://www.frontiersin.org/articles/10.3389/frsus.2020.620047 (accessed on 14 September 2023). [CrossRef]
- Wymenga, Paul, Nora Plaisier, and Jurgen Vermeulen. 2013. Study on Support Services for SMEs in International Business. Available online: https://www.ace-cae.eu/fileadmin/New_Upload/_14_International/study-on-support-services-for-smes-in-international-business-final-report-2.pdf (accessed on 25 March 2023).
- Yang, Hui, Prahalad Rao, Timothy Simpson, Yan Lu, Paul Witherell, Abdalla R. Nassar, Edward Reutzel, and Soundar Kumara. 2021. Six-Sigma Quality Management of Additive Manufacturing. Proceedings of the IEEE 109: 347–76. [Google Scholar] [CrossRef]
- Zeug, Walther, Alberto Bezama, and Daniela Thrän. 2021. A framework for implementing holistic and integrated life cycle sustainability assessment of regional bioeconomy. The International Journal of Life Cycle Assessment 26: 1998–2023. [Google Scholar] [CrossRef]
- Zheng, Jiajia, and Sangwon Suh. 2019. Strategies to reduce the global carbon footprint of plastics. Nature Climate Change 9: 74–378. Available online: https://www.nature.com/articles/s41558-019-0459-z (accessed on 25 April 2023). [CrossRef]
Stage | Description |
---|---|
1. Problem Identification |
|
2. Key Elements of the Framework: | |
Renewable Biological Resources |
|
Sustainable Manufacturing Techniques |
|
Resource Efficiency |
|
Waste Reduction |
|
Life Cycle Assessments |
|
3. Interrelationships |
|
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Tišma, S.; Škrtić, M.M. Integrating Bioeconomy Principles in Bionic Production: Enhancing Sustainability and Environmental Performance. J. Risk Financial Manag. 2023, 16, 437. https://doi.org/10.3390/jrfm16100437
Tišma S, Škrtić MM. Integrating Bioeconomy Principles in Bionic Production: Enhancing Sustainability and Environmental Performance. Journal of Risk and Financial Management. 2023; 16(10):437. https://doi.org/10.3390/jrfm16100437
Chicago/Turabian StyleTišma, Sanja, and Mira Mileusnić Škrtić. 2023. "Integrating Bioeconomy Principles in Bionic Production: Enhancing Sustainability and Environmental Performance" Journal of Risk and Financial Management 16, no. 10: 437. https://doi.org/10.3390/jrfm16100437
APA StyleTišma, S., & Škrtić, M. M. (2023). Integrating Bioeconomy Principles in Bionic Production: Enhancing Sustainability and Environmental Performance. Journal of Risk and Financial Management, 16(10), 437. https://doi.org/10.3390/jrfm16100437