Sustainability Development
How does i-APC deliver sustainability?
In the meantime, governments worldwide have already consented to a sustainable development goal. A business organization strives to achieve global goals by creating economic value based on profit creation, social and environmental responsibilities as a triple bottom line of sustainability.
Facing the challenges, managing their resources with data analysis and i-APC process performance improvement is one of the most considering strategies to improve overall operational performance of their production facilities. Energy Optimization, which minimizes energy consumption and maximizes fuel efficiency, is including. Simply say, the innovative service from i-APC is a straightforward solution with pragmatic design to drive the economic goals or a financial value accordingly.
Moreover, the organization can create a movement to meet UN sustainable development goals (SDGs) by enhancing intelligent systems and implementing “Item No.9 Industry, Innovation, and Infrastructure” or “item No.12 Ensure Sustainable Consumption and Production pattern” into the transformative change.
In terms of environmental responsibility, I-APC delivers a product transition loss and product quality give away minimization at minimum vent to reduce carbon emissions.
Regarding social responsibilities, i-APC is launching the green manufacturing support program for environmentally friendly organization to improve their plant operation such as,
- An industry that created value from plastic waste or recycles or reuses products or a sector part of a “Circular Economy” chain.
- A Bio-Circular-Green (BCG) industry is developing sustainable environmental solutions such as biopolymer or compostable polymer production to tackle plastic product pollution.
I-APC believes that social and environmental responsibilities are everyone’s collaboration. Mapping the solution potentially in the value chain is your opportunity.
As form I-APC, there are three dimensions to meet sustainability goals
- Boost efficiency manufacturing supply chain operation
The data analytic, optimization and prediction process enhance planning and schedule of unit operation. In terms of resources management, human intervention workload are minimized by AI while other consumables are reduced, such as chemical, energy consumption, and waste emission.
- Intelligence APC
The intelligent advanced control and optimization solution reduces process variability. The reactor's temperature, the flow rate of the chemical, and real-time controller consequence lower energy usage and increased production rate simultaneously.
- Predictive Solution
The predictive solution from machine learning forecasts the reactor's failure, which avoids unplanned production and prolong turnaround cycle to increase competitiveness towards global demand & supply.