DIGICULAR METANOMY

Digital
Circular
Metaverse
Economy

DIGICULAR Mentanomy, Digital Circular Metaverse Economy is the hybrid multi-dynamic process and Method model of the GAPEC ecosystem enhancing a value-based selling model ( Process, Performance, Customer and Service value-based selling) that enables optimization, reengineering, modernizing, digitalizing, and transformation of the process of the Value Chain/Grid of crude oil, natural gas, and petrochemical in the business and industries with the ESG approach from the extraction of feedstock in the consumption of Crude Oil and Natural Gas to the evolution of the production process of finished products in the petrochemical industries in the first cycle, along with all other production processes along with the next phases of logistics, insurance to discharge & hand into global manufacturers, along with all the processes of next level manufacturers in industries as particular whole users of petrochemical products as a secondary cycle from supply chain/grid to value chain/grid on a wide and effective level by blowing AEA based on date-driven strategy and Dataism.

alignment with Industry 5.0 and taking advantage of Metaverse

The model addresses the extraction of feedstock, production processes, logistics, and distribution to global manufacturers, as well as the processes of secondary cycle manufacturers. This holistic approach aims to enhance the value-based selling model by reengineering and modernizing the processes involved in the production and distribution of petrochemical products.

This hybrid multi-dynamic process and method model fosters a dynamic Xceed Insight-led journey in the GAPEC ecosystem equipped by AEA, empowering ecosystem actors to optimize and modernize their process in the path of the Curvycular Economy enhancing circular economy.
Moreover, complete parity synchronization of compliance and alignment with Industry 5.0 and taking advantage of Metaverse can further enhance the performance, efficiency, and effectiveness of this model, digital twins to run simulations, study performance issues, and generate possible improvements to reduce time and cost for the GAPEC actors.