Fighting Climate Change with Green Manufacturing

FIGHTING CLIMATE CHANGE WITH GREEN MANUFACTURING

APPROACHING GLOBAL SUSTAINABILITY BY INCREASING ENERGY EFFICIENCY

ABSTRACT

To achieve global sustainability, we need to become more mindful about the usage of limited energy resources, or it is mandatory to bring focus, primarily, on energy efficiency. Energy optimization requires lessening energy consumption. To consume only required energy and cut out unnecessary energy loss, optimizing appliances is the first step.

Analytics show that we can save 34% of global energy consumption by incorporating green manufacturing techniques and tools. Energy optimization is attainable, and so is energy efficiency. The advanced technologies assist in optimizing tools by tracking the big data and by keeping schedules of maintenance to help us be regular with inspections of appliances. With the help of digitalization, it becomes easy to choose the most efficient machine or do the daily work with the functioning that requires fewer energy resources than others.

Investing in commercially available technologies is a profound way to reach closer to the desired outcome. Plus, incorporating green manufacturing in industries is proven to be cost-effective. It is to build globally sustainable and profitable industrial plants.

GEM provides best-in-industry end-to-end IIoT real-time Infrastructure analytics, predictive analytics, OEE, and Energy Optimization solutions for manufacturing industries, empowering production processes that pollute less and creating less overall production waste, reducing manufacturing carbon footprint.

From scheduling maintenance of machines to having advanced digitalization tools for tracking and monitoring big data, GEM works with a mission to achieve optimization with IloT and machine learning.

In pursuing constant growth, industries need to embody a plan to work with climate change and not against it. Studies show that industries consume 54% of the world’s accessible energy, so we hold an ensuing duty to improve energy efficiency to our highest potential. It is crucial to balance the improper ratio of increased production and limited energy resources for not letting the scenarios cease industrial growth especially when it is possible to save 34% of the global energy consumption. Although we do not have any control over increasing production demand, we can be more careful and strategic about energy usage. Once we become aware of the energy levels we utilize every day and get more organized with the data, We then can incorporate and develop specific green manufacturing technologies and tools to increase energy efficiency.

We can decide to minimize the usage of energy resources, and at the same time, not compromise the quality of the production. For this, we need to invest in more energy-efficient machines. The measures of required energy levels and resources vary with different machines. Some of the devices require an extra bulk of particular energy resources such as water or gas than others. Similarly, a single modern machine has several functioning modes, and each demands different energy levels. Now how to make sure that we are working with more efficient machines only? Advanced technologies and analytic tools display the required energy usage for different functions that helps determine the most efficient function of a particular machine. Eventually, it is a massive help to manufacturers and buyers as the decision-making process now becomes faster and less complex.

Profound energy management is required to have a reliable layout to increase energy efficiency. digitalization plays a significant role in that. It makes the procedure of choosing the most efficient tool transparent and simpler. The monitoring software tracks big data and required energy usage, which helps us compare the efficiency of one machine with another in a more standardized way. To consistently work with optimized tools, regular and frequent technical checkups are necessary. Monthly scheduling for regular machine checkups can save a million kilowatts of leakage of CO2. Using optimized machines is getting the same work done with fewer energy resources.

Limiting oneself to not using more than a certain amount of energy for production is challenging in a good way: when one is forced to find more profound ways to optimize more energy, the best way to do that is by making investments in commercially available technologies that intend to improve energy efficiency. It is a potent step in becoming more sustainable because by using these technologies and services, we are choosing to work with the most optimized tools every day, and investments in technologies and innovations that boost energy efficiency contribute to achieving global sustainability by increasing 10-30 % energy efficiency.

The adoption of green manufacturing reduces the cost of production with increased energy efficiency. Research shows that as industries spend 10-30% of the cost of production on energy, and by reducing energy consumption, large cost optimizations are achieved. Industries with higher energy consumption should be laser-focused on energy efficiency. Moreover, Smart investments we make in buying, using, or losing energy helps with savings that later can be invested in obtaining higher energy optimization.

To pursue the overall efficiency of equipment, the GEM Precare platform gives valuable analytics-based insights, right actions for achieving desired energy efficiency. GEM Precare platform Energy Analytics Package allows for simple yet deep insights, which in turn yield profits with low investments, eventually helping in outlining a solid plan to obtain the overall energy efficiency of a manufacturing line, floor, plan, and corporation. GEM SaaS platform, Precare, provides historical, Current, and using ML&AI for Predictive analytics.

For optimizing energy levels, GEM offers just-in-time and predictive maintenance scheduling to be consistent and organized with technical checkups. Using advanced digitalization tools, it also gives access to hierarchical dashboards that assist in displaying statuses and KPIs at any corporation level. By applying big data analytics, combines with loT and machine learning, GEM improves equipment effectiveness all across: Availability, performance, and quality. Utilizing modern and standardized tools, GEMBO helps users and enterprises achieve desired energy efficiency and global sustainability.