Global Adoption of Blockchain for Circular Economy Transformation in Resource Optimization Environmental Protection and Supply Chain Sustainability
摘要
The rapidly increasing worldwide preference of a specialty in sustainable development has emphasized the paramount goals of vigorous, open, and disorganized structures that may sustain the circular economy notions at scale. In this chapter, the author presents the Blockchain-Enabled Circular Economy Optimization Framework (BC-CEOF) that is a multilayered architecture capable of changing global resource consumption, environmental surveillance, and supply chain sustainability. The framework will use blockchain technology and combine it with IoT sensors, artificial intelligence and smart contracts that secure real-time trace, automate compliance, and dynamically incentivize eco-friendly behaviors. To reward participants, a new kind of token-based system is presented that rewards the participants on engaging in circular practices, including recycling, reuse, and responsible consumption, Sustainable Resource Tokens (SRTs). Also, multi-objective optimization algorithms are used to optimize energy consumption, recycling cost, and environmental cost. The framework designed in the study uses a permissioned blockchain infrastructure so that the data privacy and scalability are maintained, and an efficient cross-border collaboration could be easily achieved. The combination of mathematical modeling, automatic smart contracts logic, and interoperable auditing layers allow BC-CEOF to supply a transparent and flexibly adaptive environment to handle circular economy processes within a company. The approach endorses the international sustainability standards and provides cross-industry applicability, including e-waste, textile, agri-food and automotive industries. BC-CEOF is a revolutionary solution to achieving a sustainable, low-carbon zero-waste regenerative world economy that operates based on blockchain advancement. The proposed BC-CEOF framework demonstrates an overall accuracy of 98.7% across essential operational, ecological, and traceability indicators.